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ORCIDMin Zhang 0005
Person information
- affiliation: Harbin Institute of Technology, School of Computer Science and Technology, Institute of Computing and Intelligence, Shenzhen, China
- affiliation (since 2013): Soochow University, School of Computer Science and Technology, Suzhou, China
- affiliation (2003 - 2013): Institute for Infocomm Research, Singapore
- affiliation (2001 - 2003): Infotalk Technology, Singapore
- affiliation (1999 - 2001): Lernout & Hauspie Asia Pacific, Singapore
- affiliation (1997 - 1999): Korean Advanced Institute of Science and Technology, Daejeon, South Korea
- affiliation (PhD 1997): Harbin Institute of Technology, China
- not to be confused with: Min Zhang 0006
Other persons with the same name
- Min Zhang — disambiguation page
- Min Zhang 0001 — University of Texas Health Science Center, Houston, TX, United States
- Min Zhang 0002
![[0000-0003-1938-2902]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1938-2902")
— East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, China (and 1 more) - Min Zhang 0003 — Shanghai Ocean University, Shanghai, China
- Min Zhang 0004 — Alcatel-Lucent (and 1 more)
- Min Zhang 0006 — Tsinghua University, Department of Computer Science and Technology, Beijing, China
- Min Zhang 0007 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China
- Min Zhang 0008 — University of Hertfordshire
- Min Zhang 0009 — Harbin Medical University
- Min Zhang 0010 — University of Schience and Technology of China, Hefei
- Min Zhang 0011 — University of Electronic Science and Technology, School of Computer and Communication Engineering, Chengdu, China
- Min Zhang 0012 — The Chinese University of Hong Kong
- Min Zhang 0013 — Shanghai Jiao Tong University, School of Mechanical Engineering, China (and 1 more)
- Min Zhang 0014 — Xidian University, School of Physics and Optoelectronic Engineering, Xi'an, China
- Min Zhang 0015 — Xidian University, Measurement and Control Department, Xi'an, China
- Min Zhang 0016 — Beijing University of Posts and Telecommunications, State Key Laboratory of Information Photonics and Optical Communications, China
- Min Zhang 0017 — Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China
- Min Zhang 0018 — Linyi University, Library, China
- Min Zhang 0019 — Paris Diderot University, France
- Min Zhang 0020 — Arizona State University, Tempe, USA (and 1 more)
- Min Zhang 0021 — Northeast Normal University, Faculty of Chemistry, Changchun, China
- Min Zhang 0022 — Beijing University of Posts and Telecommunications, School of Science, China
- Min Zhang 0023 — Chongqing University, College of Computer Science, Chongqing Key Laboratory of Software Theory and Technology, China
- Min Zhang 0024 — Changchun University of Science and Technology, Institute of Space Optoelectronics Technology, China (and 1 more)
- Min Zhang 0025 — North China Electric Power University, School of Control and Computer Engineering, Beijing, China
- Min Zhang 0026 — Jiangnan University, School of Food Science and Technology, Wuxi, China
- Min Zhang 0027 — Open University, Milton Keynes, UK (and 2 more)
- Min Zhang 0028 — Tongji University, School of Economics and Management, Shanghai, China
- Min Zhang 0029 — Hangzhou Dianzi University, Institute of Software and Intelligent Technology, China (and 1 more)
- Min Zhang 0030 — University of Southern California, Department of Electrical and Computer Engineering, Los Angeles, CA, USA
- Min Zhang 0031 — Tsinghua University, Shenzhen International Graduate School, China
- Min Zhang 0032 — Wuhan University, School of Remote Sensing and Information Engineering, China (and 1 more)
- Min Zhang 0033 — Guangxi University, School of Computer and Electronics Information, Guangxi Key Laboratory of Multimedia Communications and Network Technology, Nanning, China
- Min Zhang 0034 — Beihua University, Nursing College, Jilin, China
- Min Zhang 0035 — Huaqiao University, College of Computer Science and Technology, Xiamen, China
- Min Zhang 0036 — Southwest Jiaotong University, School of Mechanical Engineering, Chengdu, China
- Min Zhang 0037 — University of Science and Technology Beijing, School of Computer and Communication Engineering, China
- Min Zhang 0038 — Chinese Academy of Sciences, Aerospace Information Research Institute, Beijing, China
- Min Zhang 0039 — Northwest University, School of Information Science and Technology, Xi'an, China
- Min Zhang 0040 — Hebei University of Technology, School of Artificial Intelligence, Hebei Province Key Laboratory of Big Data Calculation, Tianjin, China
- Min Zhang 0041 — Peking University, School of Electronic and Computer Engineering, Shenzhen, China
- Min Zhang 0042 — Huawei Technologies Co., Ltd., Huawei Translation Services Center, Beijing, China
- Min Zhang 0043 — Chinese Academy of Sciences, Institute of Software, Trusted Computing and Information Assurance Laboratory, Beijing, China (and 1 more)
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2020 – today
- 2025
[j100]Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar induction from visual, speech and text. Artif. Intell. 341: 104306 (2025)- [j99]Zelin Li, Kehai Chen, Lemao Liu, Xuefeng Bai, Mingming Yang, Yang Xiang, Min Zhang:
TF-Attack: Transferable and fast adversarial attacks on large language models. Knowl. Based Syst. 312: 113117 (2025) - [j98]Jikai Wang, Yi Su, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Min Zhang:
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure. Trans. Assoc. Comput. Linguistics 13: 188-199 (2025) - [j97]Weishan Ye, Z. G. Zhang, Fei Teng, Min Zhang, Jianhong Wang, Dong Ni, Fali Li, Peng Xu, Zhen Liang:
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. 16(1): 290-305 (2025) - [c426]Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang:
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. AAAI 2025: 24413-24421 - [c425]Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang:
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. AAAI 2025: 24741-24749 - [c424]Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang:
Look Before You Leap: Enhance Attention and Vigilance Regarding Harmful Content with GuidelineLLM. AAAI 2025: 25904-25912 - [c423]Zikang Zhang, Wangjie You, Tianci Wu, Xinrui Wang, Juntao Li, Min Zhang:
A Survey of Generative Information Extraction. COLING 2025: 4840-4870 - [c422]Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen, Min Zhang:
ZigZagKV: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty. COLING 2025: 8897-8907 - [c421]Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang:
Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective. COLING 2025: 8955-8962 - [c420]Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang:
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. COLING 2025: 10275-10292 - [i258]Xinshuo Hu, Zifei Shan, Xinping Zhao, Zetian Sun, Zhenyu Liu, Dongfang Li, Shaolin Ye, Xinyuan Wei, Qian Chen, Baotian Hu, Haofen Wang, Jun Yu, Min Zhang:
KaLM-Embedding: Superior Training Data Brings A Stronger Embedding Model. CoRR abs/2501.01028 (2025) - [i257]Xiaojie Li, Yibo Yang, Jianlong Wu, David A. Clifton, Yue Yu, Bernard Ghanem, Min Zhang:
Continuous Knowledge-Preserving Decomposition for Few-Shot Continual Learning. CoRR abs/2501.05017 (2025) - [i256]Weiqiao Shan, Yuhao Zhang, Yuchen Han, Bei Li, Xiaofeng Zhao, Yuang Li, Min Zhang, Hao Yang, Tong Xiao, Jingbo Zhu:
Optimizing Speech Multi-View Feature Fusion through Conditional Computation. CoRR abs/2501.08057 (2025) - [i255]Zhenran Xu, Longyue Wang, Jifang Wang, Zhouyi Li, Senbao Shi, Xue Yang, Yiyu Wang, Baotian Hu, Jun Yu, Min Zhang:
FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces. CoRR abs/2501.12909 (2025) - [i254]Huiyao Chen, Meishan Zhang, Jing Li, Min Zhang, Lilja Øvrelid, Jan Hajic, Hao Fei:
Semantic Role Labeling: A Systematical Survey. CoRR abs/2502.08660 (2025) - [i253]Yuxin Liu, Zhenxi Song, Guoyang Xu, Zirui Wang, Feng Wan, Yong Hu, Min Zhang, Zhiguo Zhang:
SSVEP-BiMA: Bifocal Masking Attention Leveraging Native and Symmetric-Antisymmetric Components for Robust SSVEP Decoding. CoRR abs/2502.10994 (2025) - [i252]Andong Chen, Yuchen Song, Wenxin Zhu, Kehai Chen, Muyun Yang, Tiejun Zhao, Min Zhang:
Evaluating o1-Like LLMs: Unlocking Reasoning for Translation through Comprehensive Analysis. CoRR abs/2502.11544 (2025) - [i251]Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min Zhang:
Exploring Translation Mechanism of Large Language Models. CoRR abs/2502.11806 (2025) - [i250]Xin Zhang, Ziqi Dai, Yongqi Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Jun Yu, Wenjie Li, Min Zhang:
Towards Text-Image Interleaved Retrieval. CoRR abs/2502.12799 (2025) - [i249]Jiaqi Zhao, Ming Wang, Miao Zhang, Yuzhang Shang, Xuebo Liu, Yaowei Wang, Min Zhang, Liqiang Nie:
Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis. CoRR abs/2502.13178 (2025) - [i248]Jiaqi Zhao, Miao Zhang, Ming Wang, Yuzhang Shang, Kaihao Zhang, Weili Guan, Yaowei Wang, Min Zhang:
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models. CoRR abs/2502.13179 (2025) - [i247]Pinzheng Wang, Zecheng Tang, Keyan Zhou, Juntao Li, Qiaoming Zhu, Min Zhang:
Revealing and Mitigating Over-Attention in Knowledge Editing. CoRR abs/2502.14838 (2025) - [i246]Houquan Zhou, Bo Zhang, Zhenghua Li, Ming Yan, Min Zhang:
A Training-free LLM-based Approach to General Chinese Character Error Correction. CoRR abs/2502.15266 (2025) - [i245]Zetian Sun, Dongfang Li, Baotian Hu, Jun Yu, Min Zhang:
Improving Value-based Process Verifier via Structural Prior Injection. CoRR abs/2502.17498 (2025) - [i244]Zhiyu Yin, Kehai Chen, Xuefeng Bai, Ruili Jiang, Juntao Li, Hongdong Li, Jin Liu, Yang Xiang, Jun Yu, Min Zhang:
ASurvey: Spatiotemporal Consistency in Video Generation. CoRR abs/2502.17863 (2025) - [i243]Zhenyu Liu, Yunxin Li, Baotian Hu, Wenhan Luo, Yaowei Wang, Min Zhang:
Picking the Cream of the Crop: Visual-Centric Data Selection with Collaborative Agents. CoRR abs/2502.19917 (2025) - [i242]Yihong Tang, Kehai Chen, Xuefeng Bai, Zhengyu Niu, Bo Wang, Jie Liu, Min Zhang:
The Rise of Darkness: Safety-Utility Trade-Offs in Role-Playing Dialogue Agents. CoRR abs/2502.20757 (2025) - [i241]Yifan Duan, Yihong Tang, Xuefeng Bai, Kehai Chen, Juntao Li, Min Zhang:
The Power of Personality: A Human Simulation Perspective to Investigate Large Language Model Agents. CoRR abs/2502.20859 (2025) - [i240]Xingzuo Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yong Xu, Min Zhang:
Generator-Assistant Stepwise Rollback Framework for Large Language Model Agent. CoRR abs/2503.02519 (2025) - [i239]Mufan Xu, Gewen Liang, Kehai Chen, Wei Wang, Xun Zhou, Muyun Yang, Tiejun Zhao, Min Zhang:
Memory-augmented Query Reconstruction for LLM-based Knowledge Graph Reasoning. CoRR abs/2503.05193 (2025) - [i238]Zhenyu Li, Kehai Chen, Yunfei Long, Xuefeng Bai, Yaoyin Zhang, Xuchen Wei, Juntao Li, Min Zhang:
XIFBench: Evaluating Large Language Models on Multilingual Instruction Following. CoRR abs/2503.07539 (2025) - [i237]Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang:
Take Off the Training Wheels Progressive In-Context Learning for Effective Alignment. CoRR abs/2503.09958 (2025) - [i236]Qiyuan Deng, Xuefeng Bai, Kehai Chen, Yaowei Wang, Liqiang Nie, Min Zhang:
Representation-based Reward Modeling for Efficient Safety Alignment of Large Language Model. CoRR abs/2503.10093 (2025) - [i235]Henglyu Liu, Andong Chen, Kehai Chen, Xuefeng Bai, Meizhi Zhong, Yuan Qiu, Min Zhang:
Adaptive Inner Speech-Text Alignment for LLM-based Speech Translation. CoRR abs/2503.10211 (2025) - [i234]Zhengsheng Guo, Linwei Zheng, Xinyang Chen, Xuefeng Bai, Kehai Chen, Min Zhang:
MoK-RAG: Mixture of Knowledge Paths Enhanced Retrieval-Augmented Generation for Embodied AI Environments. CoRR abs/2503.13882 (2025) - [i233]Zhexuan Wang, Yutong Wang, Xuebo Liu, Liang Ding, Miao Zhang, Jie Liu, Min Zhang:
AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration. CoRR abs/2503.18891 (2025) - 2024
- [j96]Peiming Guo, Meishan Zhang, Yulong Chen, Jianling Li, Min Zhang, Yue Zhang:
Cross-domain Constituency Parsing by Leveraging Heterogeneous Data. J. Artif. Intell. Res. 81: 771-791 (2024) - [j95]Mengzhao Jia, Yinwei Wei, Xuemeng Song, Teng Sun, Min Zhang, Liqiang Nie:
Query-Oriented Micro-Video Summarization. IEEE Trans. Pattern Anal. Mach. Intell. 46(6): 4174-4187 (2024) - [j94]Juntao Li, Xiaobo Liang, Lijun Wu, Yue Wang, Qi Meng, Tao Qin, Min Zhang, Tie-Yan Liu:
Randomness Regularization With Simple Consistency Training for Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(8): 5763-5778 (2024) - [j93]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations With Structural Spatio-Temporal Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 7701-7719 (2024) - [j92]Huiyao Chen, Yu Zhao, Zulong Chen, Mengjia Wang, Liangyue Li, Meishan Zhang, Min Zhang:
Retrieval-style In-context Learning for Few-shot Hierarchical Text Classification. Trans. Assoc. Comput. Linguistics 12: 1214-1231 (2024) - [j91]Yongtao Zhang, Yue Pan, Yulin Zhang, Min Zhang, Linling Li, Li Zhang, Gan Huang, Lei Su, Honghai Liu, Zhen Liang, Zhiguo Zhang:
Unsupervised Time-Aware Sampling Network With Deep Reinforcement Learning for EEG-Based Emotion Recognition. IEEE Trans. Affect. Comput. 15(3): 1090-1103 (2024) - [j90]Huiyao Chen, Yueheng Sun, Meishan Zhang, Min Zhang:
Automatic Noise Generation and Reduction for Text Classification. IEEE ACM Trans. Audio Speech Lang. Process. 32: 139-150 (2024) - [j89]Xiaobo Liang, Runze Mao, Lijun Wu, Juntao Li, Min Zhang, Qing Li:
Enhancing Low-Resource NLP by Consistency Training With Data and Model Perturbations. IEEE ACM Trans. Audio Speech Lang. Process. 32: 189-199 (2024) - [j88]Zhicheng Sheng, Liqiang Nie, Min Zhang, Xiaojun Chang, Yan Yan:
Stochastic Latent Talking Face Generation Toward Emotional Expressions and Head Poses. IEEE Trans. Circuits Syst. Video Technol. 34(4): 2734-2748 (2024) - [j87]Min Cao, Yang Bai, Ziqiang Cao, Liqiang Nie, Min Zhang:
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5132-5145 (2024) - [j86]Jun Rao, Xv Meng, Liang Ding, Shuhan Qi, Xuebo Liu, Min Zhang, Dacheng Tao:
Parameter-Efficient and Student-Friendly Knowledge Distillation. IEEE Trans. Multim. 26: 4230-4241 (2024) - [j85]Yunxin Li, Baotian Hu, Xinyu Chen, Lin Ma, Yong Xu, Min Zhang:
LMEye: An Interactive Perception Network for Large Language Models. IEEE Trans. Multim. 26: 10952-10964 (2024) - [c419]Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang:
An Empirical Study of CLIP for Text-Based Person Search. AAAI 2024: 465-473 - [c418]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Generalizable Graph Neural Network. AAAI 2024: 8320-8328 - [c417]Xinshuo Hu, Dongfang Li, Baotian Hu, Zihao Zheng, Zhenyu Liu, Min Zhang:
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. AAAI 2024: 18252-18260 - [c416]Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang:
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms. ACL (Short Papers) 2024: 693-704 - [c415]Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang:
On the Hallucination in Simultaneous Machine Translation. ACL (Short Papers) 2024: 730-742 - [c414]Shilin Zhou, Zhenghua Li, Chen Gong, Lei Zhang, Yu Hong, Min Zhang:
Chinese Spoken Named Entity Recognition in Real-world Scenarios: Dataset and Approaches. ACL (Findings) 2024: 1872-1884 - [c413]Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai:
CopyNE: Better Contextual ASR by Copying Named Entities. ACL (1) 2024: 2675-2686 - [c412]Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Hai Zhao, Min Zhang:
From Role-Play to Drama-Interaction: An LLM Solution. ACL (Findings) 2024: 3271-3290 - [c411]Yuyang Ding, Juntao Li, Pinzheng Wang, Zecheng Tang, Yan Bowen, Min Zhang:
Rethinking Negative Instances for Generative Named Entity Recognition. ACL (Findings) 2024: 3461-3475 - [c410]Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang:
Temporal Knowledge Question Answering via Abstract Reasoning Induction. ACL (1) 2024: 4872-4889 - [c409]Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang:
Improving Attributed Text Generation of Large Language Models via Preference Learning. ACL (Findings) 2024: 5079-5101 - [c408]Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su:
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. ACL (Findings) 2024: 5472-5485 - [c407]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. ACL (1) 2024: 6144-6158 - [c406]Lai Jiang, Hongqiu Wu, Hai Zhao, Min Zhang:
Chinese Spelling Corrector Is Just a Language Learner. ACL (Findings) 2024: 6933-6943 - [c405]Yunxin Li, Xinyu Chen, Baotian Hu, Haoyuan Shi, Min Zhang:
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment. ACL (1) 2024: 7615-7626 - [c404]Yan Gao, Zhiwei Cao, Zhongjian Miao, Baosong Yang, Shiyu Liu, Min Zhang, Jinsong Su:
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval. ACL (Findings) 2024: 7990-8001 - [c403]Tengfei Yu, Xuebo Liu, Liang Ding, Kehai Chen, Dacheng Tao, Min Zhang:
Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation. ACL (1) 2024: 8020-8035 - [c402]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. ACL (Findings) 2024: 8719-8730 - [c401]Huiyao Chen, Xinxin Li, Meishan Zhang, Min Zhang:
Semantic Role Labeling from Chinese Speech via End-to-End Learning. ACL (Findings) 2024: 8898-8911 - [c400]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. ACL (1) 2024: 9090-9101 - [c399]Zhexuan Wang, Shudong Liu, Xuebo Liu, Miao Zhang, Derek F. Wong, Min Zhang:
Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation. ACL (Findings) 2024: 9458-9469 - [c398]Junlin Lee, Yequan Wang, Jing Li, Min Zhang:
Multimodal Reasoning with Multimodal Knowledge Graph. ACL (1) 2024: 10767-10782 - [c397]Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
A Two-Stage Adaptation of Large Language Models for Text Ranking. ACL (Findings) 2024: 11880-11891 - [c396]Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang:
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL (1) 2024: 13014-13033 - [c395]Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang:
Context Consistency between Training and Inference in Simultaneous Machine Translation. ACL (1) 2024: 13465-13476 - [c394]Wangjie You, Pei Guo, Juntao Li, Kehai Chen, Min Zhang:
Efficient Domain Adaptation for Non-Autoregressive Machine Translation. ACL (Findings) 2024: 13657-13670 - [c393]Pei Guo, Wangjie You, Juntao Li, Bowen Yan, Min Zhang:
Exploring Reversal Mathematical Reasoning Ability for Large Language Models. ACL (Findings) 2024: 13671-13685 - [c392]Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang:
Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model. ACL (Findings) 2024: 13816-13836 - [c391]Chen Li, Meishan Zhang, Xuebo Liu, Zhaocong Li, Derek F. Wong, Min Zhang:
Towards Demonstration-Aware Large Language Models for Machine Translation. ACL (Findings) 2024: 13868-13881 - [c390]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. ACL (Findings) 2024: 14041-14055 - [c389]Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Yan Bowen, Min Zhang:
Demonstration Augmentation for Zero-shot In-context Learning. ACL (Findings) 2024: 14232-14244 - [c388]Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang:
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. ACL (Findings) 2024: 14498-14511 - [c387]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. ACL (Findings) 2024: 16430-16441 - [c386]Jikai Wang, Juntao Li, Min Zhang, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Baoxing Huai:
When and How to Grow? On Efficient Pre-training via Model Growth. ACML 2024: 95-110 - [c385]Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. LREC/COLING 2024: 1-13 - [c384]Yunxin Li, Baotian Hu, Wenhan Luo, Lin Ma, Yuxin Ding, Min Zhang:
A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation. LREC/COLING 2024: 850-861 - [c383]Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang:
Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training. LREC/COLING 2024: 3179-3191 - [c382]Zechen Sun, Yisheng Xiao, Juntao Li, Yixin Ji, Wenliang Chen, Min Zhang:
Exploring and Mitigating Shortcut Learning for Generative Large Language Models. LREC/COLING 2024: 6883-6893 - [c381]Senbao Shi, Zhenran Xu, Baotian Hu, Min Zhang:
Generative Multimodal Entity Linking. LREC/COLING 2024: 7654-7665 - [c380]Chenhui Dou, Chen Gong, Zhenghua Li, Zhefeng Wang, Baoxing Huai, Min Zhang:
Improving Chinese Named Entity Recognition with Multi-grained Words and Part-of-Speech Tags via Joint Modeling. LREC/COLING 2024: 8732-8742 - [c379]Yue Wang, Zilong Zheng, Juntao Li, Zhihui Liu, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang:
Towards More Realistic Chinese Spell Checking with New Benchmark and Specialized Expert Model. LREC/COLING 2024: 16570-16580 - [c378]Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang:
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. ECCV (68) 2024: 306-325 - [c377]Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang:
Dynamic Planning for LLM-based Graphical User Interface Automation. EMNLP (Findings) 2024: 1304-1320 - [c376]Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. EMNLP (Industry Track) 2024: 1393-1412 - [c375]Zhenran Xu, Senbao Shi, Baotian Hu, Longyue Wang, Min Zhang:
MultiSkill: Evaluating Large Multimodal Models for Fine-grained Alignment Skills. EMNLP (Findings) 2024: 1506-1523 - [c374]Zecheng Tang, Keyan Zhou, Juntao Li, Yuyang Ding, Pinzheng Wang, Yan Bowen, Renjie Hua, Min Zhang:
CMD: a framework for Context-aware Model self-Detoxification. EMNLP 2024: 1930-1949 - [c373]Zhenyu Liu, Dongfang Li, Xinshuo Hu, Xinping Zhao, Yibin Chen, Baotian Hu, Min Zhang:
Take Off the Training Wheels! Progressive In-Context Learning for Effective Alignment. EMNLP 2024: 2743-2757 - [c372]Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang:
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. EMNLP 2024: 3027-3041 - [c371]Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang:
Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. EMNLP (Findings) 2024: 4152-4168 - [c370]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. EMNLP 2024: 5583-5595 - [c369]Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Xu Jia, Min Zhang:
Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering. EMNLP (Findings) 2024: 7598-7610 - [c368]Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang:
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. EMNLP (Findings) 2024: 8972-8985 - [c367]Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang:
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. EMNLP 2024: 10064-10083 - [c366]Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang:
Self-Powered LLM Modality Expansion for Large Speech-Text Models. EMNLP 2024: 12401-12417 - [c365]Liangxin Liu, Xuebo Liu, Lian Lian, Shengjun Cheng, Jun Rao, Tengfei Yu, Hexuan Deng, Min Zhang:
Curriculum Consistency Learning for Conditional Sentence Generation. EMNLP 2024: 13865-13881 - [c364]Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang:
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models. EMNLP 2024: 17446-17467 - [c363]Shudong Liu, Zhaocong Li, Xuebo Liu, Runzhe Zhan, Derek F. Wong, Lidia S. Chao, Min Zhang:
Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner. EMNLP 2024: 21635-21645 - [c362]Hao Yang, Min Zhang, Shimin Tao, Minghan Wang, Daimeng Wei, Yanfei Jiang:
Knowledge-Prompted Estimator: A Novel Approach to Explainable Machine Translation Assessment. ICACT 2024: 305-310 - [c361]Ruihan Qin, Zhenxi Song, Huixia Ren, Zian Pei, Lin Zhu, Xue Shi, Yi Guo, Honghai Liu, Min Zhang, Zhiguo Zhang:
BNMTrans: A Brain Network Sequence-Driven Manifold-Based Transformer for Cognitive Impairment Detection Using EEG. ICASSP 2024: 2016-2020 - [c360]Xinxu Zhou, Zhen Liang, Weishan Ye, Junqi Xue, Honghai Liu, Min Zhang, Zhiguo Zhang:
EmoTVR: A Hybrid Model to Estimate Continuous-Time and Continuous-Level Emotion from Electroencephalography. ICASSP 2024: 2021-2025 - [c359]Zhengyu Chen, Teng Xiao, Donglin Wang, Min Zhang:
Pareto Graph Self-Supervised Learning. ICASSP 2024: 6630-6634 - [c358]Junqi Xue, Ruihan Qin, Xinxu Zhou, Honghai Liu, Min Zhang, Zhiguo Zhang:
Fusing Multi-Level Features from Audio and Contextual Sentence Embedding from Text for Interview-Based Depression Detection. ICASSP 2024: 6790-6794 - [c357]Meishan Zhang, Bin Wang, Hao Fei, Min Zhang:
In-Context Learning for Few-Shot Nested Named Entity Recognition. ICASSP 2024: 10026-10030 - [c356]Yisheng Xiao, Juntao Li, Zechen Sun, Zechang Li, Qingrong Xia, Xinyu Duan, Zhefeng Wang, Min Zhang:
Are Bert Family Good Instruction Followers? A Study on Their Potential And Limitations. ICLR 2024 - [c355]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. ICLR 2024 - [c354]Yu Wu, Haiguang Wang, Mengxia Wu, Min Cao, Min Zhang:
LAIP: Learning Local Alignment from Image-Phrase Modeling for Text-based Person Search. ICME 2024: 1-10 - [c353]Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang:
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. ICML 2024 - [c352]Haofei Zhao, Yilun Liu, Shimin Tao, Weibin Meng, Yimeng Chen, Xiang Geng, Chang Su, Min Zhang, Hao Yang:
From Handcrafted Features to LLMs: A Brief Survey for Machine Translation Quality Estimation. IJCNN 2024: 1-10 - [c351]Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu:
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD 2024: 4631-4640 - [c350]Zhenxi Song, Ruihan Qin, Huixia Ren, Zhen Liang, Yi Guo, Min Zhang, Zhiguo Zhang:
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations. ACM Multimedia 2024: 340-349 - [c349]Bin Wang, Meishan Zhang, Hao Fei, Yu Zhao, Bobo Li, Shengqiong Wu, Wei Ji, Min Zhang:
SpeechEE: A Novel Benchmark for Speech Event Extraction. ACM Multimedia 2024: 10449-10458 - [c348]Yu Zhao, Hao Fei, Bobo Li, Meishan Zhang, Min Zhang:
The ACM Multimedia 2024 Viual Spatial Description Grand Challenge. ACM Multimedia 2024: 11404-11406 - [c347]Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang:
Parameter Competition Balancing for Model Merging. NeurIPS 2024 - [c346]Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu:
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates. NeurIPS 2024 - [c345]Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang:
In-Context Learning State Vector with Inner and Momentum Optimization. NeurIPS 2024 - [c344]Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang:
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection. NeurIPS 2024 - [c343]Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng:
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs. NeurIPS 2024 - [c342]Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang:
AutoSurvey: Large Language Models Can Automatically Write Surveys. NeurIPS 2024 - [c341]Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei:
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image. NeurIPS 2024 - [c340]Yanming Sun, Xuebo Liu, Derek F. Wong, Yuchu Lin, Bei Li, Runzhe Zhan, Lidia S. Chao, Min Zhang:
Understanding and Improving Low-Resource Neural Machine Translation with Shallow Features. NLPCC (3) 2024: 227-239 - [c339]Mengyao Piao, Chang Su, Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Yinglu Li, Min Zhang, Hao Yang:
HW-TSC 2024 Submission for the SemEval-2024 Task 1: Semantic Textual Relatedness (STR). SemEval@NAACL 2024: 1634-1638 - [c338]Xiaofeng Zhao, Xiaosong Qiao, Kaiwen Ou, Min Zhang, Chang Su, Mengyao Piao, Yuang Li, Yinglu Li, Ming Zhu, Yilun Liu:
HW-TSC at SemEval-2024 Task 5: Self-Eval? A Confident LLM System for Auto Prediction and Evaluation for the Legal Argument Reasoning Task. SemEval@NAACL 2024: 1806-1810 - [c337]Zhenran Xu, Jifang Wang, Longyue Wang, Zhouyi Li, Senbao Shi, Baotian Hu, Min Zhang:
FilmAgent: Automating Virtual Film Production Through a Multi-Agent Collaborative Framework. SIGGRAPH Asia Technical Communications 2024: 15:1-15:4 - [c336]Yunxin Li, Haoyuan Shi, Baotian Hu, Longyue Wang, Jiashun Zhu, Jinyi Xu, Zhen Zhao, Min Zhang:
Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation. SIGGRAPH Asia 2024: 34:1-34:11 - [c335]Yue Wang, Zilong Zheng, Zecheng Tang, Juntao Li, Zhihui Liu, Kunlong Chen, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Min Zhang:
Towards Better Chinese Spelling Check for Search Engines: A New Dataset and Strong Baseline. WSDM 2024: 769-778 - [i232]Jiaxin Guo, Minghan Wang, Xiaosong Qiao, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhengzhe Yu, Yinglu Li, Chang Su, Min Zhang, Shimin Tao, Hao Yang:
UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction. CoRR abs/2401.05689 (2024) - [i231]Xiongri Shen, Zhenxi Song, Linling Li, Min Zhang, Lingyan Liang, Honghai Liu, Demao Deng, Zhiguo Zhang:
HA-HI: Synergising fMRI and DTI through Hierarchical Alignments and Hierarchical Interactions for Mild Cognitive Impairment Diagnosis. CoRR abs/2401.06780 (2024) - [i230]Keqin Peng, Liang Ding, Yancheng Yuan, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Revisiting Demonstration Selection Strategies in In-Context Learning. CoRR abs/2401.12087 (2024) - [i229]Meishan Zhang, Bin Wang, Hao Fei, Min Zhang:
In-Context Learning for Few-Shot Nested Named Entity Recognition. CoRR abs/2402.01182 (2024) - [i228]Zhi Jing, Yongye Su, Yikun Han, Bo Yuan, Haiyun Xu, Chunjiang Liu, Kehai Chen, Min Zhang:
When Large Language Models Meet Vector Databases: A Survey. CoRR abs/2402.01763 (2024) - [i227]Zhengsheng Guo, Zhiwei He, Wenxiang Jiao, Xing Wang, Rui Wang, Kehai Chen, Zhaopeng Tu, Yong Xu, Min Zhang:
Unsupervised Sign Language Translation and Generation. CoRR abs/2402.07726 (2024) - [i226]Hong Chen, Chengtao Lv, Liang Ding, Haotong Qin, Xiabin Zhou, Yifu Ding, Xuebo Liu, Min Zhang, Jinyang Guo, Xianglong Liu, Dacheng Tao:
DB-LLM: Accurate Dual-Binarization for Efficient LLMs. CoRR abs/2402.11960 (2024) - [i225]Yunxin Li, Xinyu Chen, Baotian Hu, Min Zhang:
LLMs Meet Long Video: Advancing Long Video Comprehension with An Interactive Visual Adapter in LLMs. CoRR abs/2402.13546 (2024) - [i224]Yunxin Li, Xinyu Chen, Baotian Hu, Haoyuan Shi, Min Zhang:
Cognitive Visual-Language Mapper: Advancing Multimodal Comprehension with Enhanced Visual Knowledge Alignment. CoRR abs/2402.13561 (2024) - [i223]Yunxin Li, Baotian Hu, Wenhan Luo, Lin Ma, Yuxin Ding, Min Zhang:
A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation. CoRR abs/2402.13587 (2024) - [i222]Xinglin Lyu, Junhui Li, Yanqing Zhao, Min Zhang, Daimeng Wei, Shimin Tao, Hao Yang, Min Zhang:
DeMPT: Decoding-enhanced Multi-phase Prompt Tuning for Making LLMs Be Better Context-aware Translators. CoRR abs/2402.15200 (2024) - [i221]Yuyang Ding, Juntao Li, Pinzheng Wang, Zecheng Tang, Bowen Yan, Min Zhang:
Rethinking Negative Instances for Generative Named Entity Recognition. CoRR abs/2402.16602 (2024) - [i220]Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang:
SelectIT: Selective Instruction Tuning for Large Language Models via Uncertainty-Aware Self-Reflection. CoRR abs/2402.16705 (2024) - [i219]Xiaojie Li, Yibo Yang, Xiangtai Li, Jianlong Wu, Yue Yu, Bernard Ghanem, Min Zhang:
GenView: Enhancing View Quality with Pretrained Generative Model for Self-Supervised Learning. CoRR abs/2403.12003 (2024) - [i218]Dongfang Li, Zetian Sun, Baotian Hu, Zhenyu Liu, Xinshuo Hu, Xuebo Liu, Min Zhang:
Improving Attributed Text Generation of Large Language Models via Preference Learning. CoRR abs/2403.18381 (2024) - [i217]Hongqiu Wu, Yan Wang, Xingyuan Liu, Hai Zhao, Min Zhang:
Instruction-Driven Game Engines on Large Language Models. CoRR abs/2404.00276 (2024) - [i216]Longhui Zhang, Dingkun Long, Meishan Zhang, Yanzhao Zhang, Pengjun Xie, Min Zhang:
Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training. CoRR abs/2404.05560 (2024) - [i215]Dongfang Li, Zhenyu Liu, Xinshuo Hu, Zetian Sun, Baotian Hu, Min Zhang:
In-Context Learning State Vector with Inner and Momentum Optimization. CoRR abs/2404.11225 (2024) - [i214]Daming Gao, Yang Bai, Min Cao, Hao Dou, Mang Ye, Min Zhang:
Semi-supervised Text-based Person Search. CoRR abs/2404.18106 (2024) - [i213]Xinyu Ma, Xuebo Liu, Derek F. Wong, Jun Rao, Bei Li, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset. CoRR abs/2404.18413 (2024) - [i212]Min Zhang, Haoxuan Li, Fei Wu, Kun Kuang:
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation. CoRR abs/2404.19644 (2024) - [i211]Zhenxi Song, Ruihan Qin, Huixia Ren, Zhen Liang, Yi Guo, Min Zhang, Zhiguo Zhang:
EEG-MACS: Manifold Attention and Confidence Stratification for EEG-based Cross-Center Brain Disease Diagnosis under Unreliable Annotations. CoRR abs/2405.00734 (2024) - [i210]Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xuebo Liu, Lidia S. Chao, Min Zhang:
Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore. CoRR abs/2405.04286 (2024) - [i209]Yunxin Li, Baotian Hu, Haoyuan Shi, Wei Wang, Longyue Wang, Min Zhang:
VisionGraph: Leveraging Large Multimodal Models for Graph Theory Problems in Visual Context. CoRR abs/2405.04950 (2024) - [i208]Dan Qiao, Yi Su, Pinzheng Wang, Jing Ye, Wenjing Xie, Yuechi Zhou, Yuyang Ding, Zecheng Tang, Jikai Wang, Yixin Ji, Yue Wang, Pei Guo, Zechen Sun, Zikang Zhang, Juntao Li, Pingfu Chao, Wenliang Chen, Guohong Fu, Guodong Zhou, Qiaoming Zhu, Min Zhang:
OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning. CoRR abs/2405.05957 (2024) - [i207]Yixin Ji, Yang Xiang, Juntao Li, Wei Chen, Zhongyi Liu, Kehai Chen, Min Zhang:
Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization. CoRR abs/2405.10616 (2024) - [i206]Yunxin Li, Shenyuan Jiang, Baotian Hu, Longyue Wang, Wanqi Zhong, Wenhan Luo, Lin Ma, Min Zhang:
Uni-MoE: Scaling Unified Multimodal LLMs with Mixture of Experts. CoRR abs/2405.11273 (2024) - [i205]Weiqi Wu, Hongqiu Wu, Lai Jiang, Xingyuan Liu, Jiale Hong, Hai Zhao, Min Zhang:
From Role-Play to Drama-Interaction: An LLM Solution. CoRR abs/2405.14231 (2024) - [i204]Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang:
Demonstration Augmentation for Zero-shot In-context Learning. CoRR abs/2406.01224 (2024) - [i203]Junlin Lee, Yequan Wang, Jing Li, Min Zhang:
Multimodal Reasoning with Multimodal Knowledge Graph. CoRR abs/2406.02030 (2024) - [i202]Meishan Zhang, Hao Fei, Bin Wang, Shengqiong Wu, Yixin Cao, Fei Li, Min Zhang:
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction. CoRR abs/2406.03701 (2024) - [i201]Yan Gao, Zhiwei Cao, Zhongjian Miao, Baosong Yang, Shiyu Liu, Min Zhang, Jinsong Su:
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval. CoRR abs/2406.06073 (2024) - [i200]Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang:
Paying More Attention to Source Context: Mitigating Unfaithful Translations from Large Language Model. CoRR abs/2406.07036 (2024) - [i199]Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang:
DUAL-REFLECT: Enhancing Large Language Models for Reflective Translation through Dual Learning Feedback Mechanisms. CoRR abs/2406.07232 (2024) - [i198]Meizhi Zhong, Kehai Chen, Zhengshan Xue, Lemao Liu, Mingming Yang, Min Zhang:
On the Hallucination in Simultaneous Machine Translation. CoRR abs/2406.07239 (2024) - [i197]Yutong Wang, Jiali Zeng, Xuebo Liu, Fandong Meng, Jie Zhou, Min Zhang:
TasTe: Teaching Large Language Models to Translate through Self-Reflection. CoRR abs/2406.08434 (2024) - [i196]Zhaochen Su, Juntao Li, Jun Zhang, Tong Zhu, Xiaoye Qu, Pan Zhou, Yan Bowen, Yu Cheng, Min Zhang:
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? CoRR abs/2406.09072 (2024) - [i195]Yidong Wang, Qi Guo, Wenjin Yao, Hongbo Zhang, Xin Zhang, Zhen Wu, Meishan Zhang, Xinyu Dai, Min Zhang, Qingsong Wen, Wei Ye, Shikun Zhang, Yue Zhang:
AutoSurvey: Large Language Models Can Automatically Write Surveys. CoRR abs/2406.10252 (2024) - [i194]Haiguang Wang, Yu Wu, Mengxia Wu, Min Cao, Min Zhang:
LAIP: Learning Local Alignment from Image-Phrase Modeling for Text-based Person Search. CoRR abs/2406.10845 (2024) - [i193]Ruili Jiang, Kehai Chen, Xuefeng Bai, Zhixuan He, Juntao Li, Muyun Yang, Tiejun Zhao, Liqiang Nie, Min Zhang:
A Survey on Human Preference Learning for Large Language Models. CoRR abs/2406.11191 (2024) - [i192]Yunxin Li, Xinyu Chen, Baotian Hu, Longyue Wang, Haoyuan Shi, Min Zhang:
VideoVista: A Versatile Benchmark for Video Understanding and Reasoning. CoRR abs/2406.11303 (2024) - [i191]Meizhi Zhong, Chen Zhang, Yikun Lei, Xikai Liu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang:
Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective. CoRR abs/2406.13282 (2024) - [i190]Zhaochen Su, Jun Zhang, Tong Zhu, Xiaoye Qu, Juntao Li, Min Zhang, Yu Cheng:
Timo: Towards Better Temporal Reasoning for Language Models. CoRR abs/2406.14192 (2024) - [i189]Jikai Wang, Yi Su, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Min Zhang:
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure. CoRR abs/2406.17276 (2024) - [i188]Huiyao Chen, Yu Zhao, Zulong Chen, Mengjia Wang, Liangyue Li, Meishan Zhang, Min Zhang:
Retrieval-style In-Context Learning for Few-shot Hierarchical Text Classification. CoRR abs/2406.17534 (2024) - [i187]Bonian Jia, Huiyao Chen, Yueheng Sun, Meishan Zhang, Min Zhang:
LLM-Driven Multimodal Opinion Expression Identification. CoRR abs/2406.18088 (2024) - [i186]Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua, Shuicheng Yan:
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment. CoRR abs/2406.19255 (2024) - [i185]Yang Xu, Yunlong Feng, Honglin Mu, Yutai Hou, Yitong Li, Xinghao Wang, Wanjun Zhong, Zhongyang Li, Dandan Tu, Qingfu Zhu, Min Zhang, Wanxiang Che:
Concise and Precise Context Compression for Tool-Using Language Models. CoRR abs/2407.02043 (2024) - [i184]Zhibin Lan, Liqiang Niu, Fandong Meng, Jie Zhou, Min Zhang, Jinsong Su:
Translatotron-V(ison): An End-to-End Model for In-Image Machine Translation. CoRR abs/2407.02894 (2024) - [i183]Xiaojie Li, Yibo Yang, Jianlong Wu, Bernard Ghanem, Liqiang Nie, Min Zhang:
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning. CoRR abs/2407.06136 (2024) - [i182]Xin Zhang, Yanzhao Zhang, Dingkun Long, Wen Xie, Ziqi Dai, Jialong Tang, Huan Lin, Baosong Yang, Pengjun Xie, Fei Huang, Meishan Zhang, Wenjie Li, Min Zhang:
mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval. CoRR abs/2407.19669 (2024) - [i181]Hongqiu Wu, Zekai Xu, Tianyang Xu, Shize Wei, Yan Wang, Jiale Hong, Weiqi Wu, Hai Zhao, Min Zhang, Zhezhi He:
Evolving Virtual World with Delta-Engine. CoRR abs/2408.05842 (2024) - [i180]Peiming Guo, Sinuo Liu, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation. CoRR abs/2408.08650 (2024) - [i179]Bin Wang, Meishan Zhang, Hao Fei, Yu Zhao, Bobo Li, Shengqiong Wu, Wei Ji, Min Zhang:
SpeechEE: A Novel Benchmark for Speech Event Extraction. CoRR abs/2408.09462 (2024) - [i178]Yunxin Li, Haoyuan Shi, Baotian Hu, Longyue Wang, Jiashun Zhu, Jinyi Xu, Zhen Zhao, Min Zhang:
Anim-Director: A Large Multimodal Model Powered Agent for Controllable Animation Video Generation. CoRR abs/2408.09787 (2024) - [i177]Andong Chen, Lianzhang Lou, Kehai Chen, Xuefeng Bai, Yang Xiang, Muyun Yang, Tiejun Zhao, Min Zhang:
Benchmarking LLMs for Translating Classical Chinese Poetry:Evaluating Adequacy, Fluency, and Elegance. CoRR abs/2408.09945 (2024) - [i176]Zhaochen Su, Jun Zhang, Xiaoye Qu, Tong Zhu, Yanshu Li, Jiashuo Sun, Juntao Li, Min Zhang, Yu Cheng:
ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM. CoRR abs/2408.12076 (2024) - [i175]Xingzuo Li, Kehai Chen, Yunfei Long, Min Zhang:
LLM with Relation Classifier for Document-Level Relation Extraction. CoRR abs/2408.13889 (2024) - [i174]Zelin Li, Kehai Chen, Xuefeng Bai, Lemao Liu, Mingming Yang, Yang Xiang, Min Zhang:
TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models. CoRR abs/2408.13985 (2024) - [i173]Weijie Liu, Zecheng Tang, Juntao Li, Kehai Chen, Min Zhang:
MemLong: Memory-Augmented Retrieval for Long Text Modeling. CoRR abs/2408.16967 (2024) - [i172]Guoyang Xu, Junqi Xue, Yuxin Liu, Zirui Wang, Min Zhang, Zhenxi Song, Zhiguo Zhang:
Semantic-Guided Multimodal Sentiment Decoding with Adversarial Temporal-Invariant Learning. CoRR abs/2409.00143 (2024) - [i171]Shaojun Li, Hengchao Shang, Daimeng Wei, Jiaxin Guo, Zongyao Li, Xianghui He, Min Zhang, Hao Yang:
LA-RAG:Enhancing LLM-based ASR Accuracy with Retrieval-Augmented Generation. CoRR abs/2409.08597 (2024) - [i170]Jun Rao, Xuebo Liu, Zepeng Lin, Liang Ding, Jing Li, Dacheng Tao, Min Zhang:
Exploring and Enhancing the Transfer of Distribution in Knowledge Distillation for Autoregressive Language Models. CoRR abs/2409.12512 (2024) - [i169]Yuang Li, Xiaosong Qiao, Xiaofeng Zhao, Huan Zhao, Wei Tang, Min Zhang, Hao Yang:
Large Language Model Should Understand Pinyin for Chinese ASR Error Correction. CoRR abs/2409.13262 (2024) - [i168]Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Xinbei Ma, Muyun Yang, Tiejun Zhao, Min Zhang:
Dynamic Planning for LLM-based Graphical User Interface Automation. CoRR abs/2410.00467 (2024) - [i167]Yu Zhang, Kehai Chen, Xuefeng Bai, Zhao Kang, Quanjiang Guo, Min Zhang:
Question-guided Knowledge Graph Re-scoring and Injection for Knowledge Graph Question Answering. CoRR abs/2410.01401 (2024) - [i166]Guodong Du, Junlin Lee, Jing Li, Runhua Jiang, Yifei Guo, Shuyang Yu, Hanting Liu, Sim Kuan Goh, Ho-Kin Tang, Daojing He, Min Zhang:
Parameter Competition Balancing for Model Merging. CoRR abs/2410.02396 (2024) - [i165]Jun Rao, Xuebo Liu, Lian Lian, Shengjun Cheng, Yunjie Liao, Min Zhang:
CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions. CoRR abs/2410.03077 (2024) - [i164]Yu Zhao, Hao Fei, Shengqiong Wu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Grammar Induction from Visual, Speech and Text. CoRR abs/2410.03739 (2024) - [i163]Tengfei Yu, Xuebo Liu, Zhiyi Hou, Liang Ding, Dacheng Tao, Min Zhang:
Self-Powered LLM Modality Expansion for Large Speech-Text Models. CoRR abs/2410.03798 (2024) - [i162]Houquan Zhou, Zhenghua Li, Bo Zhang, Chen Li, Shaopeng Lai, Ji Zhang, Fei Huang, Min Zhang:
A Simple yet Effective Training-free Prompt-free Approach to Chinese Spelling Correction Based on Large Language Models. CoRR abs/2410.04027 (2024) - [i161]Siqi Wang, Zhengyu Chen, Bei Li, Keqing He, Min Zhang, Jingang Wang:
Scaling Laws Across Model Architectures: A Comparative Analysis of Dense and MoE Models in Large Language Models. CoRR abs/2410.05661 (2024) - [i160]Yutong Wang, Jiali Zeng, Xuebo Liu, Derek F. Wong, Fandong Meng, Jie Zhou, Min Zhang:
DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory. CoRR abs/2410.08143 (2024) - [i159]Xinping Zhao, Yan Zhong, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Dongfang Li, Baotian Hu, Min Zhang:
FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG. CoRR abs/2410.10293 (2024) - [i158]Xinping Zhao, Jindi Yu, Zhenyu Liu, Jifang Wang, Dongfang Li, Yibin Chen, Baotian Hu, Min Zhang:
Medico: Towards Hallucination Detection and Correction with Multi-source Evidence Fusion. CoRR abs/2410.10408 (2024) - [i157]Xinping Zhao, Dongfang Li, Yan Zhong, Boren Hu, Yibin Chen, Baotian Hu, Min Zhang:
SEER: Self-Aligned Evidence Extraction for Retrieval-Augmented Generation. CoRR abs/2410.11315 (2024) - [i156]Andong Chen, Kehai Chen, Yang Xiang, Xuefeng Bai, Muyun Yang, Tiejun Zhao, Min Zhang:
LLM-based Translation Inference with Iterative Bilingual Understanding. CoRR abs/2410.12543 (2024) - [i155]Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song:
MoDification: Mixture of Depths Made Easy. CoRR abs/2410.14268 (2024) - [i154]Yu Zhao, Hao Fei, Xiangtai Li, Libo Qin, Jiayi Ji, Hongyuan Zhu, Meishan Zhang, Min Zhang, Jianguo Wei:
Synergistic Dual Spatial-aware Generation of Image-to-Text and Text-to-Image. CoRR abs/2410.15312 (2024) - [i153]Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhe-Feng Wang, Min Zhang:
Beware of Calibration Data for Pruning Large Language Models. CoRR abs/2410.17711 (2024) - [i152]Zecheng Tang, Zechen Sun, Juntao Li, Qiaoming Zhu, Min Zhang:
LOGO - Long cOntext aliGnment via efficient preference Optimization. CoRR abs/2410.18533 (2024) - [i151]Yuyang Ding, Xinyu Shi, Xiaobo Liang, Juntao Li, Qiaoming Zhu, Min Zhang:
Unleashing Reasoning Capability of LLMs via Scalable Question Synthesis from Scratch. CoRR abs/2410.18693 (2024) - [i150]Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu:
NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates. CoRR abs/2410.20814 (2024) - [i149]Jiawei Yu, Yuang Li, Xiaosong Qiao, Huan Zhao, Xiaofeng Zhao, Wei Tang, Min Zhang, Hao Yang, Jinsong Su:
Hard-Synth: Synthesizing Diverse Hard Samples for ASR using Zero-Shot TTS and LLM. CoRR abs/2411.13159 (2024) - [i148]Hexuan Deng, Wenxiang Jiao, Xuebo Liu, Min Zhang, Zhaopeng Tu:
DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization. CoRR abs/2411.14055 (2024) - [i147]Haidong Xu, Meishan Zhang, Hao Ju, Zhedong Zheng, Hongyuan Zhu, Erik Cambria, Min Zhang, Hao Fei:
Towards Rich Emotions in 3D Avatars: A Text-to-3D Avatar Generation Benchmark. CoRR abs/2412.02508 (2024) - [i146]Yunkai Dang, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Meijun Sun, Donglin Wang:
Multi-Level Correlation Network For Few-Shot Image Classification. CoRR abs/2412.03159 (2024) - [i145]Jiang Liu, Bobo Li, Xinran Yang, Na Yang, Hao Fei, Min Zhang, Fei Li, Donghong Ji:
M3D: A Multimodal, Multilingual and Multitask Dataset for Grounded Document-level Information Extraction. CoRR abs/2412.04026 (2024) - [i144]Dongfang Li, Zetian Sun, Xinshuo Hu, Baotian Hu, Min Zhang:
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models. CoRR abs/2412.07393 (2024) - [i143]Meizhi Zhong, Xikai Liu, Chen Zhang, Yikun Lei, Yan Gao, Yao Hu, Kehai Chen, Min Zhang:
ZigZagkv: Dynamic KV Cache Compression for Long-context Modeling based on Layer Uncertainty. CoRR abs/2412.09036 (2024) - [i142]Shaoqing Zhang, Zhuosheng Zhang, Kehai Chen, Rongxiang Weng, Muyun Yang, Tiejun Zhao, Min Zhang:
Look Before You Leap: Enhancing Attention and Vigilance Regarding Harmful Content with GuidelineLLM. CoRR abs/2412.10423 (2024) - [i141]Hongbin Zhang, Kehai Chen, Xuefeng Bai, Yang Xiang, Min Zhang:
LinguaLIFT: An Effective Two-stage Instruction Tuning Framework for Low-Resource Language Tasks. CoRR abs/2412.12499 (2024) - [i140]Andong Chen, Yuchen Song, Kehai Chen, Muyun Yang, Tiejun Zhao, Min Zhang:
Make Imagination Clearer! Stable Diffusion-based Visual Imagination for Multimodal Machine Translation. CoRR abs/2412.12627 (2024) - [i139]Mufan Xu, Kehai Chen, Xuefeng Bai, Muyun Yang, Tiejun Zhao, Min Zhang:
LLM-based Discriminative Reasoning for Knowledge Graph Question Answering. CoRR abs/2412.12643 (2024) - [i138]Ziheng Qiao, Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang:
DISC: Plug-and-Play Decoding Intervention with Similarity of Characters for Chinese Spelling Check. CoRR abs/2412.12863 (2024) - [i137]Yingjie Zhu, Xuefeng Bai, Kehai Chen, Yang Xiang, Min Zhang:
Benchmarking and Improving Large Vision-Language Models for Fundamental Visual Graph Understanding and Reasoning. CoRR abs/2412.13540 (2024) - [i136]Yifan Lu, Yigeng Zhou, Jing Li, Yequan Wang, Xuebo Liu, Daojing He, Fangming Liu, Min Zhang:
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering. CoRR abs/2412.13782 (2024) - [i135]Xiabin Zhou, Wenbin Wang, Minyan Zeng, Jiaxian Guo, Xuebo Liu, Li Shen, Min Zhang, Liang Ding:
DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs. CoRR abs/2412.14838 (2024) - [i134]Xin Zhang, Yanzhao Zhang, Wen Xie, Mingxin Li, Ziqi Dai, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang:
GME: Improving Universal Multimodal Retrieval by Multimodal LLMs. CoRR abs/2412.16855 (2024) - [i133]Xinping Zhao, Baotian Hu, Yan Zhong, Shouzheng Huang, Zihao Zheng, Meng Wang, Haofen Wang, Min Zhang:
RaSeRec: Retrieval-Augmented Sequential Recommendation. CoRR abs/2412.18378 (2024) - 2023
- [j84]Yue Wang, Lijun Wu, Juntao Li, Xiaobo Liang, Min Zhang:
Are the BERT family zero-shot learners? A study on their potential and limitations. Artif. Intell. 322: 103953 (2023) - [j83]Youcheng Pan, Baotian Hu, Shiyue Wang, Xiaolong Wang, Qingcai Chen, Zenglin Xu, Min Zhang:
Learning to generate complex question with intent prediction from long passage. Appl. Intell. 53(5): 5823-5833 (2023) - [j82]Ahmed M. Anter, Ali Wagdy Mohamed, Min Zhang, Zhiguo Zhang:
A robust intelligence regression model for monitoring Parkinson's disease based on speech signals. Future Gener. Comput. Syst. 147: 316-327 (2023) - [j81]Min Zhang, Jun Huang, Yueyuan Zhang:
Stochastic stability analysis of nonlinear semi-Markov jump systems with time delays and incremental quadratic constraints. J. Frankl. Inst. 360(16): 12688-12706 (2023) - [j80]Shuyue Xu, Zhiguo Zhang, Linling Li, Yongjie Zhou, Danyi Lin, Min Zhang, Li Zhang, Gan Huang, Xiqin Liu, Benjamin Becker, Zhen Liang:
Functional connectivity profiles of the default mode and visual networks reflect temporal accumulative effects of sustained naturalistic emotional experience. NeuroImage 269: 119941 (2023) - [j79]Lian Wu, Chao Huang, Shuping Zhao, Jinkai Li, Jianchuan Zhao, Zhongwei Cui, Zhen Yu, Yong Xu, Min Zhang:
Robust fall detection in video surveillance based on weakly supervised learning. Neural Networks 163: 286-297 (2023) - [j78]Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-Task Multi-Stage Transitional Training Framework for Neural Chat Translation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 7970-7985 (2023) - [j77]Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11407-11427 (2023) - [j76]Meishan Zhang, Peiming Guo, Peijie Jiang, Dingkun Long, Yueheng Sun, Guangwei Xu, Pengjun Xie, Min Zhang:
Fine-Grained Domain Adaptation for Chinese Syntactic Processing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(11): 251:1-251:24 (2023) - [j75]Peiming Guo, Shen Huang, Peijie Jiang, Yueheng Sun, Meishan Zhang, Min Zhang:
Curriculum-Style Fine-Grained Adaption for Unsupervised Cross-Lingual Dependency Transfer. IEEE ACM Trans. Audio Speech Lang. Process. 31: 322-332 (2023) - [j74]Xinglin Lyu, Junhui Li, Min Zhang, Chenchen Ding, Hideki Tanaka, Masao Utiyama:
Refining History for Future-Aware Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 500-512 (2023) - [j73]Yachao Li, Junhui Li, Jing Jiang, Shimin Tao, Hao Yang, Min Zhang:
P-Transformer: Towards Better Document-to-Document Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3859-3870 (2023) - [c334]Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. AAAI 2023: 12728-12736 - [c333]Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang:
RenewNAT: Renewing Potential Translation for Non-autoregressive Transformer. AAAI 2023: 12854-12862 - [c332]Hongqiu Wu, Ruixue Ding, Hai Zhao, Pengjun Xie, Fei Huang, Min Zhang:
Adversarial Self-Attention for Language Understanding. AAAI 2023: 13727-13735 - [c331]Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Tie-Yan Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. AAAI 2023: 13789-13797 - [c330]Xiaobo Liang, Zecheng Tang, Juntao Li, Min Zhang:
Open-ended Long Text Generation via Masked Language Modeling. ACL (1) 2023: 223-241 - [c329]Runzhe Zhan, Xuebo Liu, Derek F. Wong, Cuilian Zhang, Lidia S. Chao, Min Zhang:
Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization. ACL (1) 2023: 807-820 - [c328]Shudong Liu, Xuebo Liu, Derek F. Wong, Zhaocong Li, Wenxiang Jiao, Lidia S. Chao, Min Zhang:
kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation. ACL (1) 2023: 1878-1891 - [c327]Xiaobo Liang, Juntao Li, Lijun Wu, Ziqiang Cao, Min Zhang:
Dynamic and Efficient Inference for Text Generation via BERT Family. ACL (1) 2023: 2883-2897 - [c326]Tao Fang, Xuebo Liu, Derek F. Wong, Runzhe Zhan, Liang Ding, Lidia S. Chao, Dacheng Tao, Min Zhang:
TransGEC: Improving Grammatical Error Correction with Translationese. ACL (Findings) 2023: 3614-3633 - [c325]Yang Xu, Yutai Hou, Wanxiang Che, Min Zhang:
Language Anisotropic Cross-Lingual Model Editing. ACL (Findings) 2023: 5554-5569 - [c324]Jing Li, Yequan Wang, Shuai Zhang, Min Zhang:
Rethinking Document-Level Relation Extraction: A Reality Check. ACL (Findings) 2023: 5715-5730 - [c323]Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang, Jinsong Su:
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. ACL (1) 2023: 5841-5853 - [c322]Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. ACL (1) 2023: 5980-5994 - [c321]Yinghao Li, Xuebo Liu, Shuo Wang, Peiyuan Gong, Derek F. Wong, Yang Gao, Heyan Huang, Min Zhang:
TemplateGEC: Improving Grammatical Error Correction with Detection Template. ACL (1) 2023: 6878-6892 - [c320]Yue Wang, Dan Qiao, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang:
Towards Better Hierarchical Text Classification with Data Generation. ACL (Findings) 2023: 7722-7739 - [c319]Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Generating Visual Spatial Description via Holistic 3D Scene Understanding. ACL (1) 2023: 7960-7977 - [c318]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. ACL (Findings) 2023: 9395-9408 - [c317]Gongyao Jiang, Shuang Liu, Meishan Zhang, Min Zhang:
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese. ACL (Findings) 2023: 9526-9541 - [c316]Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang:
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. ACL (Findings) 2023: 9935-9951 - [c315]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. ACL (1) 2023: 10391-10405 - [c314]Yunxin Li, Baotian Hu, Xinyu Chen, Yuxin Ding, Lin Ma, Min Zhang:
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues. ACL (1) 2023: 10757-10770 - [c313]Zecheng Tang, Pinzheng Wang, Keyan Zhou, Juntao Li, Ziqiang Cao, Min Zhang:
Can Diffusion Model Achieve Better Performance in Text Generation ? Bridging the Gap between Training and Inference ! ACL (Findings) 2023: 11359-11386 - [c312]Yixin Ji, Jikai Wang, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang:
Early Exit with Disentangled Representation and Equiangular Tight Frame. ACL (Findings) 2023: 14128-14142 - [c311]Xuebo Liu, Yutong Wang, Derek F. Wong, Runzhe Zhan, Liangxuan Yu, Min Zhang:
Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge. ACL (1) 2023: 15536-15550 - [c310]Yunxin Li, Baotian Hu, Yuxin Ding, Lin Ma, Min Zhang:
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text. ACL (1) 2023: 16464-16476 - [c309]Min Zhang, Xiaosong Qiao, Yanqing Zhao, Chang Su, Yinglu Li, Ming Zhu, Junhao Zhu, Yuang Li, Xiaofeng Zhao, Yilun Liu, Wenbing Ma, Mengyao Piao, Jiawei Yu, Xinglin Lv, Song Peng, Shimin Tao, Hao Yang, Yanfei Jiang:
Incorporating Pinyin into Pipeline Named Entity Recognition from Chinese Speech. APSIPA ASC 2023: 947-953 - [c308]Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang:
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. EMNLP (Findings) 2023: 1922-1940 - [c307]Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang:
G-SPEED: General SParse Efficient Editing MoDel. EMNLP (Findings) 2023: 2160-2175 - [c306]Xilai Ma, Jing Li, Min Zhang:
Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction. EMNLP (Findings) 2023: 2334-2352 - [c305]Zhongjian Miao, Wen Zhang, Jinsong Su, Xiang Li, Jian Luan, Yidong Chen, Bin Wang, Min Zhang:
Exploring All-In-One Knowledge Distillation Framework for Neural Machine Translation. EMNLP 2023: 2929-2940 - [c304]Chuyue Zhou, Wangjie You, Juntao Li, Jing Ye, Kehai Chen, Min Zhang:
INFORM : Information eNtropy based multi-step reasoning FOR large language Models. EMNLP 2023: 3565-3576 - [c303]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. EMNLP (Findings) 2023: 5622-5633 - [c302]Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang:
An Empirical Study of Frame Selection for Text-to-Video Retrieval. EMNLP (Findings) 2023: 6821-6832 - [c301]Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang:
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions. EMNLP (Findings) 2023: 7393-7405 - [c300]Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang:
Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models. EMNLP (Findings) 2023: 8104-8118 - [c299]Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang:
LLM-enhanced Self-training for Cross-domain Constituency Parsing. EMNLP 2023: 8174-8185 - [c298]Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang:
Isotropy-Enhanced Conditional Masked Language Models. EMNLP (Findings) 2023: 8278-8289 - [c297]Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang:
Mirror: A Universal Framework for Various Information Extraction Tasks. EMNLP 2023: 8861-8876 - [c296]Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang, Dacheng Tao, Min Zhang:
PromptST: Abstract Prompt Learning for End-to-End Speech Translation. EMNLP 2023: 10140-10154 - [c295]Andong Chen, Yuan Sun, Xiaobing Zhao, Rosella P. Galindo Esparza, Kehai Chen, Yang Xiang, Tiejun Zhao, Min Zhang:
Improving Low-resource Question Answering by Augmenting Question Information. EMNLP (Findings) 2023: 10413-10420 - [c294]Yulin Chen, Zhenran Xu, Baotian Hu, Min Zhang:
Revisiting Sparse Retrieval for Few-shot Entity Linking. EMNLP 2023: 12801-12806 - [c293]Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang:
Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering. EMNLP 2023: 12998-13011 - [c292]Zhenran Xu, Yulin Chen, Baotian Hu, Min Zhang:
A Read-and-Select Framework for Zero-shot Entity Linking. EMNLP (Findings) 2023: 13657-13666 - [c291]Hongqiu Wu, Linfeng Liu, Hai Zhao, Min Zhang:
Empower Nested Boolean Logic via Self-Supervised Curriculum Learning. EMNLP 2023: 13731-13742 - [c290]Xinyu Ma, Xuebo Liu, Min Zhang:
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. EMNLP 2023: 13794-13804 - [c289]Hao Yang, Min Zhang, Shimin Tao, Miaomiao Ma, Ying Qin:
Chinese ASR and NER Improvement Based on Whisper Fine-Tuning. ICACT 2023: 213-217 - [c288]Hao Yang, Min Zhang, Shimin Tao, Miaomiao Ma, Ying Qin, Daimeng Wei:
TeacherSim: Cross-lingual Machine Translation Evaluation with Monolingual Embedding as Teacher. ICACT 2023: 283-287 - [c287]Jiaxin Guo, Minghan Wang, Xiaosong Qiao, Daimeng Wei, Hengchao Shang, Zongyao Li, Zhengzhe Yu, Yinglu Li, Chang Su, Min Zhang, Shimin Tao, Hao Yang:
UCorrect: An Unsupervised Framework for Automatic Speech Recognition Error Correction. ICASSP 2023: 1-5 - [c286]Minghan Wang, Yinglu Li, Jiaxin Guo, Xiaosong Qiao, Chang Su, Min Zhang, Shimin Tao, Hao Yang:
Zephyr: Zero-Shot Punctuation Restoration. ICASSP 2023: 1-5 - [c285]Mian Zhang, Xiabing Zhou, Wenliang Chen, Min Zhang:
Emotion Recognition in Conversation from Variable-Length Context. ICASSP 2023: 1-5 - [c284]Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang:
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV 2023: 11887-11897 - [c283]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. ICDAR (2) 2023: 536-552 - [c282]Hongqiu Wu, Yongxiang Liu, Hanwen Shi, Hai Zhao, Min Zhang:
Toward Adversarial Training on Contextualized Language Representation. ICLR 2023 - [c281]Yunkai Dang, Meijun Sun, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Donglin Wang:
Multi-Level Correlation Network For Few-Shot Image Classification. ICME 2023: 2909-2914 - [c280]Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang:
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. IJCAI 2023: 555-563 - [c279]Zhenyu Liu, Baotian Hu, Zhenran Xu, Min Zhang:
PPAT: Progressive Graph Pairwise Attention Network for Event Causality Identification. IJCAI 2023: 5150-5158 - [c278]Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD 2023: 2189-2200 - [c277]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
CT4Rec: Simple yet Effective Consistency Training for Sequential Recommendation. KDD 2023: 3901-3913 - [c276]Chuhao Zhou, Jinxing Li, Huafeng Li, Guangming Lu, Yong Xu, Min Zhang:
Video-based Visible-Infrared Person Re-Identification via Style Disturbance Defense and Dual Interaction. ACM Multimedia 2023: 46-55 - [c275]Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang:
Text-based Person Search without Parallel Image-Text Data. ACM Multimedia 2023: 757-767 - [c274]Xiaojie Li, Shaowei He, Jianlong Wu, Yue Yu, Liqiang Nie, Min Zhang:
Mask Again: Masked Knowledge Distillation for Masked Video Modeling. ACM Multimedia 2023: 2221-2232 - [c273]Xiaojie Li, Jianlong Wu, Shaowei He, Shuo Kang, Yue Yu, Liqiang Nie, Min Zhang:
Fine-grained Key-Value Memory Enhanced Predictor for Video Representation Learning. ACM Multimedia 2023: 2264-2274 - [c272]Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang:
Enhancing Multi-modal Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation. ACM Multimedia 2023: 5223-5234 - [c271]Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. ACM Multimedia 2023: 5281-5291 - [c270]Xin Zhang, Wen Xie, Ziqi Dai, Jun Rao, Haokun Wen, Xuan Luo, Meishan Zhang, Min Zhang:
Finetuning Language Models for Multimodal Question Answering. ACM Multimedia 2023: 9420-9424 - [c269]Zhenran Xu, Zifei Shan, Baotian Hu, Min Zhang:
Overview of NLPCC 2023 Shared Task 6: Chinese Few-Shot and Zero-Shot Entity Linking. NLPCC (3) 2023: 257-265 - [c268]Saihao Huang, Lijie Wang, Zhenghua Li, Zeyang Liu, Chenhui Dou, Fukang Yan, Xinyan Xiao, Hua Wu, Min Zhang:
SeSQL: A High-Quality Large-Scale Session-Level Chinese Text-to-SQL Dataset. NLPCC (1) 2023: 537-550 - [c267]Kaiqi Feng, Zecheng Tang, Juntao Li, Min Zhang:
Beyond Hard Samples: Robust and Effective Grammatical Error Correction with Cycle Self-Augmenting. NLPCC (2) 2023: 678-689 - [c266]Xiaofeng Zhao, Min Zhang, Miaomiao Ma, Chang Su, Yilun Liu, Minghan Wang, Xiaosong Qiao, Jiaxin Guo, Yinglu Li, Wenbing Ma:
HW-TSC at SemEval-2023 Task 7: Exploring the Natural Language Inference Capabilities of ChatGPT and Pre-trained Language Model for Clinical Trial. SemEval@ACL 2023: 1603-1608 - [c265]Zhanglin Wu, Yilun Liu, Min Zhang, Xiaofeng Zhao, Junhao Zhu, Ming Zhu, Xiaosong Qiao, Jingfei Zhang, Miaomiao Ma, Yanqing Zhao, Song Peng, Shimin Tao, Hao Yang, Yanfei Jiang:
Empowering a Metric with LLM-assisted Named Entity Annotation: HW-TSC's Submission to the WMT23 Metrics Shared Task. WMT 2023: 822-828 - [c264]Yuang Li, Chang Su, Ming Zhu, Mengyao Piao, Xinglin Lyu, Min Zhang, Hao Yang:
HW-TSC 2023 Submission for the Quality Estimation Shared Task. WMT 2023: 835-840 - [i132]Chulun Zhou, Yunlong Liang, Fandong Meng, Jie Zhou, Jinan Xu, Hongji Wang, Min Zhang, Jinsong Su:
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation. CoRR abs/2301.11749 (2023) - [i131]Yisheng Xiao, Ruiyang Xu, Lijun Wu, Juntao Li, Tao Qin, Yan-Tie Liu, Min Zhang:
AMOM: Adaptive Masking over Masking for Conditional Masked Language Model. CoRR abs/2303.07457 (2023) - [i130]Pei Guo, Yisheng Xiao, Juntao Li, Min Zhang:
RenewNAT: Renewing Potential Translation for Non-Autoregressive Transformer. CoRR abs/2303.07665 (2023) - [i129]Min Cao, Yang Bai, Jingyao Wang, Ziqiang Cao, Liqiang Nie, Min Zhang:
Efficient Image-Text Retrieval via Keyword-Guided Pre-Screening. CoRR abs/2303.07740 (2023) - [i128]Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, Dacheng Tao:
Towards Making the Most of ChatGPT for Machine Translation. CoRR abs/2303.13780 (2023) - [i127]Chengliang Liu, Jie Wen, Yong Xu, Liqiang Nie, Min Zhang:
Learning Reliable Representations for Incomplete Multi-View Partial Multi-Label Classification. CoRR abs/2303.17117 (2023) - [i126]Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua:
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model. CoRR abs/2304.06248 (2023) - [i125]Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang:
Test-Time Adaptation with Perturbation Consistency Learning. CoRR abs/2304.12764 (2023) - [i124]Yunxin Li, Baotian Hu, Yuxin Ding, Lin Ma, Min Zhang:
A Neural Divide-and-Conquer Reasoning Framework for Image Retrieval from Linguistically Complex Text. CoRR abs/2305.02265 (2023) - [i123]Yunxin Li, Baotian Hu, Xinyu Chen, Lin Ma, Min Zhang:
LMEye: An Interactive Perception Network for Large Language Models. CoRR abs/2305.03701 (2023) - [i122]Zecheng Tang, Pinzheng Wang, Keyan Zhou, Juntao Li, Ziqiang Cao, Min Zhang:
Can Diffusion Model Achieve Better Performance in Text Generation? Bridging the Gap between Training and Inference! CoRR abs/2305.04465 (2023) - [i121]Yunxin Li, Baotian Hu, Xinyu Chen, Yuxin Ding, Lin Ma, Min Zhang:
A Multi-Modal Context Reasoning Approach for Conditional Inference on Joint Textual and Visual Clues. CoRR abs/2305.04530 (2023) - [i120]Hongqiu Wu, Yongxiang Liu, Hanwen Shi, Hai Zhao, Min Zhang:
Toward Adversarial Training on Contextualized Language Representation. CoRR abs/2305.04557 (2023) - [i119]Yu Zhao, Hao Fei, Wei Ji, Jianguo Wei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Generating Visual Spatial Description via Holistic 3D Scene Understanding. CoRR abs/2305.11768 (2023) - [i118]Hao Fei, Qian Liu, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Scene Graph as Pivoting: Inference-time Image-free Unsupervised Multimodal Machine Translation with Visual Scene Hallucination. CoRR abs/2305.12256 (2023) - [i117]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
Constructing Code-mixed Universal Dependency Forest for Unbiased Cross-lingual Relation Extraction. CoRR abs/2305.12258 (2023) - [i116]Gongyao Jiang, Shuang Liu, Meishan Zhang, Min Zhang:
A Pilot Study on Dialogue-Level Dependency Parsing for Chinese. CoRR abs/2305.12441 (2023) - [i115]Shilin Zhou, Zhenghua Li, Yu Hong, Min Zhang, Zhefeng Wang, Baoxing Huai:
CopyNE: Better Contextual ASR by Copying Named Entities. CoRR abs/2305.12839 (2023) - [i114]Dongfang Li, Jindi Yu, Baotian Hu, Zhenran Xu, Min Zhang:
ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination. CoRR abs/2305.12945 (2023) - [i113]Yang Bai, Jingyao Wang, Min Cao, Chen Chen, Ziqiang Cao, Liqiang Nie, Min Zhang:
Text-based Person Search without Parallel Image-Text Data. CoRR abs/2305.12964 (2023) - [i112]Yang Bai, Min Cao, Daming Gao, Ziqiang Cao, Chen Chen, Zhenfeng Fan, Liqiang Nie, Min Zhang:
RaSa: Relation and Sensitivity Aware Representation Learning for Text-based Person Search. CoRR abs/2305.13653 (2023) - [i111]Qihuang Zhong, Liang Ding, Juhua Liu, Xuebo Liu, Min Zhang, Bo Du, Dacheng Tao:
Revisiting Token Dropping Strategy in Efficient BERT Pretraining. CoRR abs/2305.15273 (2023) - [i110]Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang:
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR abs/2305.15889 (2023) - [i109]Yue Zhang, Bo Zhang, Haochen Jiang, Zhenghua Li, Chen Li, Fei Huang, Min Zhang:
NaSGEC: a Multi-Domain Chinese Grammatical Error Correction Dataset from Native Speaker Texts. CoRR abs/2305.16023 (2023) - [i108]Zhiwei Cao, Baosong Yang, Huan Lin, Suhang Wu, Xiangpeng Wei, Dayiheng Liu, Jun Xie, Min Zhang, Jinsong Su:
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine Translation. CoRR abs/2305.16599 (2023) - [i107]Wenwen Yu, Chengquan Zhang, Haoyu Cao, Wei Hua, Bohan Li, Huang Chen, Mingyu Liu, Mingrui Chen, Jianfeng Kuang, Mengjun Cheng, Yuning Du, Shikun Feng, Xiaoguang Hu, Pengyuan Lyu, Kun Yao, Yuechen Yu, Yuliang Liu, Wanxiang Che, Errui Ding, Cheng-Lin Liu, Jiebo Luo, Shuicheng Yan, Min Zhang, Dimosthenis Karatzas, Xing Sun, Jingdong Wang, Xiang Bai:
ICDAR 2023 Competition on Structured Text Extraction from Visually-Rich Document Images. CoRR abs/2306.03287 (2023) - [i106]Jing Li, Yequan Wang, Shuai Zhang, Min Zhang:
Rethinking Document-Level Relation Extraction: A Reality Check. CoRR abs/2306.08953 (2023) - [i105]Senbao Shi, Zhenran Xu, Baotian Hu, Min Zhang:
Generative Multimodal Entity Linking. CoRR abs/2306.12725 (2023) - [i104]Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu:
Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR abs/2306.15955 (2023) - [i103]Hexuan Deng, Xin Zhang, Meishan Zhang, Xuebo Liu, Min Zhang:
Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm. CoRR abs/2307.13424 (2023) - [i102]Hao Fei, Meishan Zhang, Min Zhang, Tat-Seng Chua:
XNLP: An Interactive Demonstration System for Universal Structured NLP. CoRR abs/2308.01846 (2023) - [i101]Yu Zhao, Hao Fei, Yixin Cao, Bobo Li, Meishan Zhang, Jianguo Wei, Min Zhang, Tat-Seng Chua:
Constructing Holistic Spatio-Temporal Scene Graph for Video Semantic Role Labeling. CoRR abs/2308.05081 (2023) - [i100]Xinshuo Hu, Dongfang Li, Zihao Zheng, Zhenyu Liu, Baotian Hu, Min Zhang:
Separate the Wheat from the Chaff: Model Deficiency Unlearning via Parameter-Efficient Module Operation. CoRR abs/2308.08090 (2023) - [i99]Zecheng Tang, Keyan Zhou, Pinzheng Wang, Yuyang Ding, Juntao Li, Min Zhang:
Detoxify Language Model Step-by-Step. CoRR abs/2308.08295 (2023) - [i98]Min Cao, Yang Bai, Ziyin Zeng, Mang Ye, Min Zhang:
An Empirical Study of CLIP for Text-based Person Search. CoRR abs/2308.10045 (2023) - [i97]Weishan Ye, Zhiguo Zhang, Min Zhang, Fei Teng, Li Zhang, Linling Li, Gan Huang, Jianhong Wang, Dong Ni, Zhen Liang:
Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition. CoRR abs/2308.11635 (2023) - [i96]Yue Wang, Xinrui Wang, Juntao Li, Jinxiong Chang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Min Zhang:
Harnessing the Power of David against Goliath: Exploring Instruction Data Generation without Using Closed-Source Models. CoRR abs/2308.12711 (2023) - [i95]Juntao Li, Zecheng Tang, Yuyang Ding, Pinzheng Wang, Pei Guo, Wangjie You, Dan Qiao, Wenliang Chen, Guohong Fu, Qiaoming Zhu, Guodong Zhou, Min Zhang:
OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch. CoRR abs/2309.10706 (2023) - [i94]Hongqiu Wu, Linfeng Liu, Hai Zhao, Min Zhang:
Empower Nested Boolean Logic via Self-Supervised Curriculum Learning. CoRR abs/2310.05450 (2023) - [i93]Xin Zhang, Zehan Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
Language Models are Universal Embedders. CoRR abs/2310.08232 (2023) - [i92]Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang:
G-SPEED: General SParse Efficient Editing MoDel. CoRR abs/2310.10480 (2023) - [i91]Yulin Chen, Zhenran Xu, Baotian Hu, Min Zhang:
Revisiting Sparse Retrieval for Few-shot Entity Linking. CoRR abs/2310.12444 (2023) - [i90]Zhenran Xu, Yulin Chen, Baotian Hu, Min Zhang:
A Read-and-Select Framework for Zero-shot Entity Linking. CoRR abs/2310.12450 (2023) - [i89]Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang, Chen Li, Ji Zhang, Fei Huang:
Improving Seq2Seq Grammatical Error Correction via Decoding Interventions. CoRR abs/2310.14534 (2023) - [i88]Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen, Liqiang Nie, Min Zhang:
An Empirical Study of Frame Selection for Text-to-Video Retrieval. CoRR abs/2311.00298 (2023) - [i87]Jianling Li, Meishan Zhang, Peiming Guo, Min Zhang, Yue Zhang:
LLM-enhanced Self-training for Cross-domain Constituency Parsing. CoRR abs/2311.02660 (2023) - [i86]Dongfang Li, Zetian Sun, Xinshuo Hu, Zhenyu Liu, Ziyang Chen, Baotian Hu, Aiguo Wu, Min Zhang:
A Survey of Large Language Models Attribution. CoRR abs/2311.03731 (2023) - [i85]Tong Zhu, Junfei Ren, Zijian Yu, Mengsong Wu, Guoliang Zhang, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Min Zhang:
Mirror: A Universal Framework for Various Information Extraction Tasks. CoRR abs/2311.05419 (2023) - [i84]Meizhi Zhong, Lemao Liu, Kehai Chen, Mingming Yang, Min Zhang:
Context Consistency between Training and Testing in Simultaneous Machine Translation. CoRR abs/2311.07066 (2023) - [i83]Yunxin Li, Longyue Wang, Baotian Hu, Xinyu Chen, Wanqi Zhong, Chenyang Lyu, Min Zhang:
A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering. CoRR abs/2311.07536 (2023) - [i82]Zhenran Xu, Senbao Shi, Baotian Hu, Jindi Yu, Dongfang Li, Min Zhang, Yuxiang Wu:
Towards Reasoning in Large Language Models via Multi-Agent Peer Review Collaboration. CoRR abs/2311.08152 (2023) - [i81]Houquan Zhou, Yang Hou, Zhenghua Li, Xuebin Wang, Zhefeng Wang, Xinyu Duan, Min Zhang:
How Well Do Large Language Models Understand Syntax? An Evaluation by Asking Natural Language Questions. CoRR abs/2311.08287 (2023) - [i80]Ziyang Chen, Dongfang Li, Xiang Zhao, Baotian Hu, Min Zhang:
Temporal Knowledge Question Answering via Abstract Reasoning Induction. CoRR abs/2311.09149 (2023) - [i79]Yunxin Li, Baotian Hu, Wei Wang, Xiaochun Cao, Min Zhang:
Towards Vision Enhancing LLMs: Empowering Multimodal Knowledge Storage and Sharing in LLMs. CoRR abs/2311.15759 (2023) - [i78]Longhui Zhang, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Min Zhang:
RankingGPT: Empowering Large Language Models in Text Ranking with Progressive Enhancement. CoRR abs/2311.16720 (2023) - [i77]Xinyu Ma, Xuebo Liu, Min Zhang:
Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix. CoRR abs/2312.02820 (2023) - [i76]Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu:
Learning to Reweight for Graph Neural Network. CoRR abs/2312.12475 (2023) - 2022
- [j72]Xiaoya Gao, Jingjing Wang, Shoushan Li, Min Zhang, Guodong Zhou:
Cognition-driven multimodal personality classification. Sci. China Inf. Sci. 65(10) (2022) - [j71]Daojing He, Runmeng Du, Shanshan Zhu, Min Zhang, Kaitai Liang, Sammy Chan:
Secure Logistic Regression for Vertical Federated Learning. IEEE Internet Comput. 26(2): 61-68 (2022) - [j70]Yanxia Qin, Zhongqing Wang, Yue Zhang, Kehai Chen, Min Zhang:
Advancing Chinese Event Detection via Revisiting Character Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(4): 78:1-78:9 (2022) - [j69]Linqing Chen, Junhui Li, Zhengxian Gong, Min Zhang, Guodong Zhou:
One Type Context Is Not Enough: Global Context-aware Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 21(6): 1-14 (2022) - [j68]Ziyao Lu, Xiang Li, Yang Liu, Chulun Zhou, Jianwei Cui, Bin Wang, Min Zhang, Jinsong Su:
Exploring Multi-Stage Information Interactions for Multi-Source Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 562-570 (2022) - [j67]Xiaobo Liang, Lijun Wu, Juntao Li, Tao Qin, Min Zhang, Tie-Yan Liu:
Multi-Teacher Distillation With Single Model for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 30: 992-1002 (2022) - [j66]Chen Gong, Zhenghua Li, Min Zhang:
Neural Coupled Sequence Labeling for Heterogeneous Annotation Conversion. IEEE ACM Trans. Audio Speech Lang. Process. 30: 1624-1636 (2022) - [j65]Kehai Chen, Muyun Yang, Tiejun Zhao, Min Zhang:
Data-Driven Fuzzy Target-Side Representation for Intelligent Translation System. IEEE Trans. Fuzzy Syst. 30(11): 4568-4577 (2022) - [j64]Yangyang Guo, Liqiang Nie, Zhiyong Cheng, Qi Tian, Min Zhang:
Loss Re-Scaling VQA: Revisiting the Language Prior Problem From a Class-Imbalance View. IEEE Trans. Image Process. 31: 227-238 (2022) - [j63]Yibing Liu, Yangyang Guo, Jianhua Yin, Xuemeng Song, Weifeng Liu, Liqiang Nie, Min Zhang:
Answer Questions with Right Image Regions: A Visual Attention Regularization Approach. ACM Trans. Multim. Comput. Commun. Appl. 18(4): 93:1-93:18 (2022) - [c263]Rongxiang Weng, Heng Yu, Weihua Luo, Min Zhang:
Deep Fusing Pre-trained Models into Neural Machine Translation. AAAI 2022: 11468-11476 - [c262]Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su:
A Label Dependence-Aware Sequence Generation Model for Multi-Level Implicit Discourse Relation Recognition. AAAI 2022: 11486-11494 - [c261]Ying Li, Shuaike Li, Min Zhang:
Semi-supervised Domain Adaptation for Dependency Parsing with Dynamic Matching Network. ACL (1) 2022: 1035-1045 - [c260]Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Xiaobin Wang, Min Zhang:
Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations. ACL (1) 2022: 2801-2813 - [c259]Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. ACL (1) 2022: 2878-2889 - [c258]Kehai Chen, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang:
Synchronous Refinement for Neural Machine Translation. ACL (Findings) 2022: 2986-2996 - [c257]Houquan Zhou, Yang Li, Zhenghua Li, Min Zhang:
Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging. ACL (Findings) 2022: 3276-3290 - [c256]Nan Yu, Meishan Zhang, Guohong Fu, Min Zhang:
RST Discourse Parsing with Second-Stage EDU-Level Pre-training. ACL (1) 2022: 4269-4280 - [c255]Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang:
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. ACL (1) 2022: 8335-8351 - [c254]Min Zhang, Hao Yang, Shimin Tao, Yanqing Zhao, Xiaosong Qiao, Yinlu Li, Chang Su, Minghan Wang, Jiaxin Guo, Yilun Liu, Ying Qin:
Incorporating Multilingual Knowledge Distillation into Machine Translation Evaluation. CCKS 2022: 148-160 - [c253]Min Zhang, Xiaosong Qiao, Hao Yang, Shimin Tao, Yanqing Zhao, Yinlu Li, Chang Su, Minghan Wang, Jiaxin Guo, Yilun Liu, Ying Qin:
Target-Side Language Model for Reference-Free Machine Translation Evaluation. CCMT 2022: 45-53 - [c252]Dan Qiao, Chenchen Dai, Yuyang Ding, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang:
SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training. COLING 2022: 960-970 - [c251]Shilin Zhou, Qingrong Xia, Zhenghua Li, Yu Zhang, Yu Hong, Min Zhang:
Fast and Accurate End-to-End Span-based Semantic Role Labeling as Word-based Graph Parsing. COLING 2022: 4160-4171 - [c250]Yu Zhang, Qingrong Xia, Shilin Zhou, Yong Jiang, Guohong Fu, Min Zhang:
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures inside Arguments. COLING 2022: 4212-4227 - [c249]Zhongjian Miao, Xiang Li, Liyan Kang, Wen Zhang, Chulun Zhou, Yidong Chen, Bin Wang, Min Zhang, Jinsong Su:
Towards Robust Neural Machine Translation with Iterative Scheduled Data-Switch Training. COLING 2022: 5266-5277 - [c248]Nan Yu, Guohong Fu, Min Zhang:
Speaker-Aware Discourse Parsing on Multi-Party Dialogues. COLING 2022: 5372-5382 - [c247]Zhiling Jin, Yu Hong, Hongyu Zhu, Jianmin Yao, Min Zhang:
Bi-granularity Adversarial Training for Non-factoid Answer Retrieval. ECIR (1) 2022: 322-335 - [c246]Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang:
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. EMNLP 2022: 526-537 - [c245]Yu Zhao, Jianguo Wei, Zhichao Lin, Yueheng Sun, Meishan Zhang, Min Zhang:
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation. EMNLP 2022: 1437-1449 - [c244]Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang:
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. EMNLP 2022: 2518-2531 - [c243]Jinpeng Zhang, Chuanqi Dong, Xiangyu Duan, Yuqi Zhang, Min Zhang:
Third-Party Aligner for Neural Word Alignments. EMNLP (Findings) 2022: 3134-3145 - [c242]Xinglin Lyu, Junhui Li, Shimin Tao, Hao Yang, Ying Qin, Min Zhang:
Modeling Consistency Preference via Lexical Chains for Document-level Neural Machine Translation. EMNLP 2022: 6312-6326 - [c241]Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, Juntao Li:
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. EMNLP 2022: 6380-6393 - [c240]Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang:
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning. EMNLP (Findings) 2022: 6454-6466 - [c239]Zhijun Wang, Xuebo Liu, Min Zhang:
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. EMNLP 2022: 6473-6484 - [c238]Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang:
Revisiting Grammatical Error Correction Evaluation and Beyond. EMNLP 2022: 6891-6902 - [c237]Binbin Xie, Xiangpeng Wei, Baosong Yang, Huan Lin, Jun Xie, Xiaoli Wang, Min Zhang, Jinsong Su:
WR-One2Set: Towards Well-Calibrated Keyphrase Generation. EMNLP 2022: 7283-7293 - [c236]Panzhong Lu, Xin Zhang, Meishan Zhang, Min Zhang:
Extending Phrase Grounding with Pronouns in Visual Dialogues. EMNLP 2022: 7614-7625 - [c235]Xiaobo Liang, Lijun Wu, Juntao Li, Min Zhang:
JANUS: Joint Autoregressive and Non-autoregressive Training with Auxiliary Loss for Sequence Generation. EMNLP 2022: 8050-8060 - [c234]Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang:
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. EMNLP 2022: 8383-8394 - [c233]Shiping Li, Min Cao, Min Zhang:
Learning Semantic-Aligned Feature Representation for Text-Based Person Search. ICASSP 2022: 2724-2728 - [c232]Kehai Chen, Muyun Yang, Masao Utiyama, Eiichiro Sumita, Rui Wang, Min Zhang:
Effective Graph Context Representation for Document-level Machine Translation. IJCAI 2022: 4079-4085 - [c231]Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. IJCAI 2022: 4552-4558 - [c230]Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang:
Image-text Retrieval: A Survey on Recent Research and Development. IJCAI 2022: 5410-5417 - [c229]Yulan Su, Yu Hong, Hongyu Zhu, Minhan Xu, Yifan Fan, Min Zhang:
Binary-perspective Asymmetrical Twin Gain: a Novel Evaluation Method for Question Generation. IJCNN 2022: 1-8 - [c228]Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang:
Medical Dialogue Response Generation with Pivotal Information Recalling. KDD 2022: 4763-4771 - [c227]Liqiang Nie, Leigang Qu, Dai Meng, Min Zhang, Qi Tian, Alberto Del Bimbo:
Search-oriented Micro-video Captioning. ACM Multimedia 2022: 3234-3243 - [c226]Qian Yang, Yunxin Li, Baotian Hu, Lin Ma, Yuxin Ding, Min Zhang:
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations. ACM Multimedia 2022: 3587-3597 - [c225]Yahui Liu, Haoping Yang, Chen Gong, Qingrong Xia, Zhenghua Li, Min Zhang:
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset. NAACL-HLT 2022: 1707-1717 - [c224]Huan Lin, Baosong Yang, Liang Yao, Dayiheng Liu, Haibo Zhang, Jun Xie, Min Zhang, Jinsong Su:
Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation. NAACL-HLT (Findings) 2022: 2622-2632 - [c223]Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang:
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction. NAACL-HLT 2022: 3118-3130 - [c222]Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu, Min Zhang:
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting. NAACL-HLT 2022: 4049-4060 - [c221]Hao Fei, Shengqiong Wu, Jingye Li, Bobo Li, Fei Li, Libo Qin, Meishan Zhang, Min Zhang, Tat-Seng Chua:
LasUIE: Unifying Information Extraction with Latent Adaptive Structure-aware Generative Language Model. NeurIPS 2022 - [c220]Yilun Liu, Xiaosong Qiao, Zhanglin Wu, Chang Su, Min Zhang, Yanqing Zhao, Song Peng, Shimin Tao, Hao Yang, Ying Qin, Jiaxin Guo, Minghan Wang, Yinglu Li, Peng Li, Xiaofeng Zhao:
Partial Could Be Better than Whole. HW-TSC 2022 Submission for the Metrics Shared Task. WMT 2022: 549-557 - [i75]Chulun Zhou, Fandong Meng, Jie Zhou, Min Zhang, Hongji Wang, Jinsong Su:
Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation. CoRR abs/2202.13663 (2022) - [i74]Bei Li, Quan Du, Tao Zhou, Yi Jing, Shuhan Zhou, Xin Zeng, Tong Xiao, Jingbo Zhu, Xuebo Liu, Min Zhang:
ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation. CoRR abs/2203.09176 (2022) - [i73]Houquan Zhou, Yang Li, Zhenghua Li, Min Zhang:
Bridging Pre-trained Language Models and Hand-crafted Features for Unsupervised POS Tagging. CoRR abs/2203.10315 (2022) - [i72]Min Cao, Shiping Li, Juntao Li, Liqiang Nie, Min Zhang:
Image-text Retrieval: A Survey on Recent Research and Development. CoRR abs/2203.14713 (2022) - [i71]Zheng Zhang, Liang Ding, Dazhao Cheng, Xuebo Liu, Min Zhang, Dacheng Tao:
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. CoRR abs/2204.07837 (2022) - [i70]Yisheng Xiao, Lijun Wu, Junliang Guo, Juntao Li, Min Zhang, Tao Qin, Tie-Yan Liu:
A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond. CoRR abs/2204.09269 (2022) - [i69]Xin Zhang, Guangwei Xu, Yueheng Sun, Meishan Zhang, Xiaobin Wang, Min Zhang:
Identifying Chinese Opinion Expressions with Extremely-Noisy Crowdsourcing Annotations. CoRR abs/2204.10714 (2022) - [i68]Yue Zhang, Zhenghua Li, Zuyi Bao, Jiacheng Li, Bo Zhang, Chen Li, Fei Huang, Min Zhang:
MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction. CoRR abs/2204.10994 (2022) - [i67]Linzhi Wu, Pengjun Xie, Jie Zhou, Meishan Zhang, Chunping Ma, Guangwei Xu, Min Zhang:
Robust Self-Augmentation for Named Entity Recognition with Meta Reweighting. CoRR abs/2204.11406 (2022) - [i66]Yahui Liu, Haoping Yang, Chen Gong, Qingrong Xia, Zhenghua Li, Min Zhang:
MuCPAD: A Multi-Domain Chinese Predicate-Argument Dataset. CoRR abs/2205.06703 (2022) - [i65]Yu Zhao, Yunxin Li, Yuxiang Wu, Baotian Hu, Qingcai Chen, Xiaolong Wang, Yuxin Ding, Min Zhang:
Medical Dialogue Response Generation with Pivotal Information Recalling. CoRR abs/2206.08611 (2022) - [i64]Qian Yang, Yunxin Li, Baotian Hu, Lin Ma, Yuxin Ding, Min Zhang:
Chunk-aware Alignment and Lexical Constraint for Visual Entailment with Natural Language Explanations. CoRR abs/2207.11401 (2022) - [i63]Saihao Huang, Lijie Wang, Zhenghua Li, Zeyang Liu, Chenhui Dou, Fukang Yan, Xinyan Xiao, Hua Wu, Min Zhang:
SeSQL: Yet Another Large-scale Session-level Chinese Text-to-SQL Dataset. CoRR abs/2208.12711 (2022) - [i62]Dan Qiao, Chenchen Dai, Yuyang Ding, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang:
SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training. CoRR abs/2210.04525 (2022) - [i61]Hongqiu Wu, Ruixue Ding, Hai Zhao, Boli Chen, Pengjun Xie, Fei Huang, Min Zhang:
Forging Multiple Training Objectives for Pre-trained Language Models via Meta-Learning. CoRR abs/2210.10293 (2022) - [i60]Yu Zhao, Jianguo Wei, Zhichao Lin, Yueheng Sun, Meishan Zhang, Min Zhang:
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation. CoRR abs/2210.11109 (2022) - [i59]Yue Zhang, Bo Zhang, Zhenghua Li, Zuyi Bao, Chen Li, Min Zhang:
SynGEC: Syntax-Enhanced Grammatical Error Correction with a Tailored GEC-Oriented Parser. CoRR abs/2210.12484 (2022) - [i58]Panzhong Lu, Xin Zhang, Meishan Zhang, Min Zhang:
Extending Phrase Grounding with Pronouns in Visual Dialogues. CoRR abs/2210.12658 (2022) - [i57]Peijie Jiang, Dingkun Long, Yanzhao Zhang, Pengjun Xie, Meishan Zhang, Min Zhang:
Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling. CoRR abs/2210.15231 (2022) - [i56]Lei Zhang, Shilin Zhou, Chen Gong, Zhenghua Li, Zhefeng Wang, Baoxing Huai, Min Zhang:
Mining Word Boundaries in Speech as Naturally Annotated Word Segmentation Data. CoRR abs/2210.17122 (2022) - [i55]Zhaochen Su, Zecheng Tang, Xinyan Guan, Juntao Li, Lijun Wu, Min Zhang:
Improving Temporal Generalization of Pre-trained Language Models with Lexical Semantic Change. CoRR abs/2210.17127 (2022) - [i54]Peiyuan Gong, Xuebo Liu, Heyan Huang, Min Zhang:
Revisiting Grammatical Error Correction Evaluation and Beyond. CoRR abs/2211.01635 (2022) - [i53]Jinpeng Zhang, Chuanqi Dong, Xiangyu Duan, Yuqi Zhang, Min Zhang:
Third-Party Aligner for Neural Word Alignments. CoRR abs/2211.04198 (2022) - [i52]Binbin Xie, Xiangpeng Wei, Baosong Yang, Huan Lin, Jun Xie, Xiaoli Wang, Min Zhang, Jinsong Su:
WR-ONE2SET: Towards Well-Calibrated Keyphrase Generation. CoRR abs/2211.06862 (2022) - [i51]Zhijun Wang, Xuebo Liu, Min Zhang:
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling. CoRR abs/2211.12781 (2022) - [i50]Hexuan Deng, Liang Ding, Xuebo Liu, Meishan Zhang, Dacheng Tao, Min Zhang:
Improving Simultaneous Machine Translation with Monolingual Data. CoRR abs/2212.01188 (2022) - [i49]Zhaocong Li, Xuebo Liu, Derek F. Wong, Lidia S. Chao, Min Zhang:
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation. CoRR abs/2212.04262 (2022) - [i48]Yachao Li, Junhui Li, Jing Jiang, Shimin Tao, Hao Yang, Min Zhang:
P-Transformer: Towards Better Document-to-Document Neural Machine Translation. CoRR abs/2212.05830 (2022) - [i47]Qian Yang, Qian Chen, Wen Wang, Baotian Hu, Min Zhang:
Enhancing Multi-modal and Multi-hop Question Answering via Structured Knowledge and Unified Retrieval-Generation. CoRR abs/2212.08632 (2022) - 2021
- [j62]Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang:
Dependency-based syntax-aware word representations. Artif. Intell. 292: 103427 (2021) - [j61]Xiabing Zhou, Zhongqing Wang, Min Zhou, Qifa Wang, Shoushan Li, Min Zhang, Guodong Zhou:
Sentiment classification via user and product interactive modeling. Sci. China Inf. Sci. 64(12) (2021) - [j60]Ming Yang, Jun Huang, Lin Yang, Min Zhang:
A Note on Adaptive Observer Design Method for One-Sided Lipschitz Systems. Circuits Syst. Signal Process. 40(2): 1021-1039 (2021) - [j59]Yachao Li, Junhui Li, Min Zhang:
Improving neural machine translation with latent features feedback. Neurocomputing 463: 368-378 (2021) - [j58]Min Zhang, Jun Huang, Guangdeng Zong, Xudong Zhao, Yueyuan Zhang:
Observer design for semi-Markov jump systems with incremental quadratic constraints. J. Frankl. Inst. 358(10): 5599-5622 (2021) - [j57]Yachao Li, Junhui Li, Min Zhang:
Deep Transformer modeling via grouping skip connection for neural machine translation. Knowl. Based Syst. 234: 107556 (2021) - [j56]Daojing He, Beibei Zhou, Hang Yu, Yao Cheng, Sammy Chan, Min Zhang, Nadra Guizani:
Group-based Password Characteristics Analysis. IEEE Netw. 35(1): 311-317 (2021) - [j55]Daojing He, Hang Yu, Beibei Zhou, Shanshan Zhu, Min Zhang, Sammy Chan, Mohsen Guizani:
How Does Social Behavior Affect Your Password? IEEE Netw. 35(5): 284-289 (2021) - [j54]Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, Rui Yan:
Dialogue History Matters! Personalized Response Selection in Multi-Turn Retrieval-Based Chatbots. ACM Trans. Inf. Syst. 39(4): 45:1-45:25 (2021) - [c219]Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou:
XLPT-AMR: Cross-Lingual Pre-Training via Multi-Task Learning for Zero-Shot AMR Parsing and Text Generation. ACL/IJCNLP (1) 2021: 896-907 - [c218]Hongqiu Wu, Hai Zhao, Min Zhang:
Code Summarization with Structure-induced Transformer. ACL/IJCNLP (Findings) 2021: 1078-1090 - [c217]Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou:
LayoutLMv2: Multi-modal Pre-training for Visually-rich Document Understanding. ACL/IJCNLP (1) 2021: 2579-2591 - [c216]Linqing Chen, Junhui Li, Zhengxian Gong, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou:
Breaking the Corpus Bottleneck for Context-Aware Neural Machine Translation with Cross-Task Pre-training. ACL/IJCNLP (1) 2021: 2851-2861 - [c215]Jinpeng Zhang, Baijun Ji, Nini Xiao, Xiangyu Duan, Min Zhang, Yangbin Shi, Weihua Luo:
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction. ACL/IJCNLP (Findings) 2021: 2943-2955 - [c214]Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
An In-depth Study on Internal Structure of Chinese Words. ACL/IJCNLP (1) 2021: 5823-5833 - [c213]Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su:
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. ACL/IJCNLP (1) 2021: 6001-6011 - [c212]Yang Hou, Houquan Zhou, Zhenghua Li, Yu Zhang, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
A Coarse-to-Fine Labeling Framework for Joint Word Segmentation, POS Tagging, and Constituent Parsing. CoNLL 2021: 290-299 - [c211]Ying Li, Meishan Zhang, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
APGN: Adversarial and Parameter Generation Networks for Multi-Source Cross-Domain Dependency Parsing. EMNLP (Findings) 2021: 1724-1733 - [c210]Xinglin Lyu, Junhui Li, Zhengxian Gong, Min Zhang:
Encouraging Lexical Translation Consistency for Document-Level Neural Machine Translation. EMNLP (1) 2021: 3265-3277 - [c209]Xincheng Ju, Dong Zhang, Rong Xiao, Junhui Li, Shoushan Li, Min Zhang, Guodong Zhou:
Joint Multi-modal Aspect-Sentiment Analysis with Auxiliary Cross-modal Relation Detection. EMNLP (1) 2021: 4395-4405 - [c208]Qingrong Xia, Zhenghua Li, Rui Wang, Min Zhang:
Stacked AMR Parsing with Silver Data. EMNLP (Findings) 2021: 4729-4738 - [c207]Kun Wu, Lijie Wang, Zhenghua Li, Ao Zhang, Xinyan Xiao, Hua Wu, Min Zhang, Haifeng Wang:
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing. EMNLP (1) 2021: 8974-8983 - [c206]Hongyu Zhu, Zhilin Jin, Yan Bai, Yu Hong, Min Zhang:
Multi-granularity Interaction Fusion for Neural Answer Source Selection. IALP 2021: 13-18 - [c205]Linqing Chen, Junhui Li, Zhengxian Gong, Xiangyu Duan, Boxing Chen, Weihua Luo, Min Zhang, Guodong Zhou:
Improving Context-Aware Neural Machine Translation with Source-side Monolingual Documents. IJCAI 2021: 3794-3800 - [c204]Qingrong Xia, Bo Zhang, Rui Wang, Zhenghua Li, Yue Zhang, Fei Huang, Luo Si, Min Zhang:
A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents. NAACL-HLT 2021: 1795-1804 - [c203]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. NeurIPS 2021: 10890-10905 - [c202]Nan Chen, Qingrong Xia, Xiabing Zhou, Wenliang Chen, Min Zhang:
Emotion Classification with Explicit and Implicit Syntactic Information. NLPCC (1) 2021: 607-618 - [i46]Ao Zhang, Kun Wu, Lijie Wang, Zhenghua Li, Xinyan Xiao, Hua Wu, Min Zhang, Haifeng Wang:
Data Augmentation with Hierarchical SQL-to-Question Generation for Cross-domain Text-to-SQL Parsing. CoRR abs/2103.02227 (2021) - [i45]Juntao Li, Chang Liu, Chongyang Tao, Zhangming Chan, Dongyan Zhao, Min Zhang, Rui Yan:
Dialogue History Matters! Personalized Response Selectionin Multi-turn Retrieval-based Chatbots. CoRR abs/2103.09534 (2021) - [i44]Hongqiu Wu, Hai Zhao, Min Zhang:
Not All Attention Is All You Need. CoRR abs/2104.04692 (2021) - [i43]Chen Gong, Saihao Huang, Houquan Zhou, Zhenghua Li, Min Zhang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan:
An In-depth Study on Internal Structure of Chinese Words. CoRR abs/2106.00334 (2021) - [i42]Jinpeng Zhang, Baijun Ji, Nini Xiao, Xiangyu Duan, Min Zhang, Yangbin Shi, Weihua Luo:
Combining Static Word Embeddings and Contextual Representations for Bilingual Lexicon Induction. CoRR abs/2106.03084 (2021) - [i41]Xin Liu, Baosong Yang, Dayiheng Liu, Haibo Zhang, Weihua Luo, Min Zhang, Haiying Zhang, Jinsong Su:
Bridging Subword Gaps in Pretrain-Finetune Paradigm for Natural Language Generation. CoRR abs/2106.06125 (2021) - [i40]Xiaobo Liang, Lijun Wu, Juntao Li, Yue Wang, Qi Meng, Tao Qin, Wei Chen, Min Zhang, Tie-Yan Liu:
R-Drop: Regularized Dropout for Neural Networks. CoRR abs/2106.14448 (2021) - [i39]Pengju Zhang, Yonghui Jia, Muhua Zhu, Wenliang Chen, Min Zhang:
Exploiting Rich Syntax for Better Knowledge Base Question Answering. CoRR abs/2107.07940 (2021) - [i38]Yu Zhang, Qingrong Xia, Shilin Zhou, Yong Jiang, Zhenghua Li, Guohong Fu, Min Zhang:
Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments. CoRR abs/2110.06865 (2021) - [i37]Shilin Zhou, Qingrong Xia, Zhenghua Li, Yu Zhang, Min Zhang:
Fast and Accurate Span-based Semantic Role Labeling as Graph Parsing. CoRR abs/2112.02970 (2021) - [i36]Tong Zhu, Xiaoye Qu, Wenliang Chen, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, Min Zhang:
Efficient Document-level Event Extraction via Pseudo-Trigger-aware Pruned Complete Graph. CoRR abs/2112.06013 (2021) - [i35]Chong Liu, Xiaoyang Liu, Rongqin Zheng, Lixin Zhang, Xiaobo Liang, Juntao Li, Lijun Wu, Min Zhang, Leyu Lin:
C2-Rec: An Effective Consistency Constraint for Sequential Recommendation. CoRR abs/2112.06668 (2021) - [i34]Shiping Li, Min Cao, Min Zhang:
Learning Semantic-Aligned Feature Representation for Text-based Person Search. CoRR abs/2112.06714 (2021) - [i33]Changxing Wu, Liuwen Cao, Yubin Ge, Yang Liu, Min Zhang, Jinsong Su:
A Label Dependence-aware Sequence Generation Model for Multi-level Implicit Discourse Relation Recognition. CoRR abs/2112.11740 (2021) - 2020
- [j53]Chen Gong, Zhenghua Li, Qingrong Xia, Wenliang Chen, Min Zhang:
Hierarchical LSTM with char-subword-word tree-structure representation for Chinese named entity recognition. Sci. China Inf. Sci. 63(10): 1-15 (2020) - [j52]Mingming Yang, Min Zhang, Kehai Chen, Rui Wang, Tiejun Zhao:
Neural Machine Translation with Target-Attention Model. IEICE Trans. Inf. Syst. 103-D(3): 684-694 (2020) - [j51]Lin Yang, Jun Huang, Min Zhang, Ming Yang:
Observer for differential inclusion systems with incremental quadratic constraints. Int. J. Syst. Sci. 51(15): 2999-3012 (2020) - [j50]Baosong Yang, Derek F. Wong, Lidia S. Chao, Min Zhang:
Improving tree-based neural machine translation with dynamic lexicalized dependency encoding. Knowl. Based Syst. 188 (2020) - [j49]Jingli Zhang, Yu Hong, Wenxuan Zhou, Jianmin Yao, Min Zhang:
Interactive learning for joint event and relation extraction. Int. J. Mach. Learn. Cybern. 11(2): 449-461 (2020) - [j48]Fang Kong, Min Zhang, Guodong Zhou:
Chinese Zero Pronoun Resolution: A Chain-to-chain Approach. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 2:1-2:21 (2020) - [j47]Dong Han, Junhui Li, Yachao Li, Min Zhang, Guodong Zhou:
Explicitly Modeling Word Translations in Neural Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(1): 15:1-15:17 (2020) - [j46]Hongfei Yu, Xiaoqing Zhou, Xiangyu Duan, Min Zhang:
Layer-Wise De-Training and Re-Training for ConvS2S Machine Translation. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(2): 26:1-26:15 (2020) - [j45]Yachao Li, Junhui Li, Min Zhang, Yixin Li, Peng Zou:
Improving Neural Machine Translation with Linear Interpolation of a Short-Path Unit. ACM Trans. Asian Low Resour. Lang. Inf. Process. 19(3): 44:1-44:16 (2020) - [j44]Kai Song, Xiaoqing Zhou, Heng Yu, Zhongqiang Huang, Yue Zhang, Weihua Luo, Xiangyu Duan, Min Zhang:
Towards Better Word Alignment in Transformer. IEEE ACM Trans. Audio Speech Lang. Process. 28: 1801-1812 (2020) - [j43]Mingming Yang, Rui Wang, Kehai Chen, Xing Wang, Tiejun Zhao, Min Zhang:
A Novel Sentence-Level Agreement Architecture for Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 28: 2585-2597 (2020) - [j42]Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. IEEE Trans. Neural Networks Learn. Syst. 31(11): 4538-4552 (2020) - [c201]Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-Lingual Pre-Training Based Transfer for Zero-Shot Neural Machine Translation. AAAI 2020: 115-122 - [c200]Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang:
Improving Neural Relation Extraction with Positive and Unlabeled Learning. AAAI 2020: 7927-7934 - [c199]Kai Song, Kun Wang, Heng Yu, Yue Zhang, Zhongqiang Huang, Weihua Luo, Xiangyu Duan, Min Zhang:
Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations. AAAI 2020: 8886-8893 - [c198]Jiancheng Wang, Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification in Customer Service Dialogue with Topic-Aware Multi-Task Learning. AAAI 2020: 9177-9184 - [c197]Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang:
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. ACL 2020: 1570-1579 - [c196]Bo Zhang, Yue Zhang, Rui Wang, Zhenghua Li, Min Zhang:
Syntax-Aware Opinion Role Labeling with Dependency Graph Convolutional Networks. ACL 2020: 3249-3258 - [c195]Yu Zhang, Zhenghua Li, Min Zhang:
Efficient Second-Order TreeCRF for Neural Dependency Parsing. ACL 2020: 3295-3305 - [c194]Xiao Chen, Changlong Sun, Jingjing Wang, Shoushan Li, Luo Si, Min Zhang, Guodong Zhou:
Aspect Sentiment Classification with Document-level Sentiment Preference Modeling. ACL 2020: 3667-3677 - [c193]Junjie Yu, Tong Zhu, Wenliang Chen, Wei Zhang, Min Zhang:
Improving Relation Extraction with Relational Paraphrase Sentences. COLING 2020: 1687-1698 - [c192]Chen Gong, Zhenghua Li, Bowei Zou, Min Zhang:
Multi-grained Chinese Word Segmentation with Weakly Labeled Data. COLING 2020: 2026-2036 - [c191]Qingrong Xia, Rui Wang, Zhenghua Li, Yue Zhang, Min Zhang:
Semantic Role Labeling with Heterogeneous Syntactic Knowledge. COLING 2020: 2979-2990 - [c190]Huibin Ruan, Yu Hong, Yang Xu, Zhen Huang, Guodong Zhou, Min Zhang:
Interactively-Propagative Attention Learning for Implicit Discourse Relation Recognition. COLING 2020: 3168-3178 - [c189]Ying Li, Zhenghua Li, Min Zhang:
Semi-supervised Domain Adaptation for Dependency Parsing via Improved Contextualized Word Representations. COLING 2020: 3806-3817 - [c188]Huaao Zhang, Shigui Qiu, Xiangyu Duan, Min Zhang:
Token Drop mechanism for Neural Machine Translation. COLING 2020: 4298-4303 - [c187]Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang:
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction. COLING 2020: 6436-6447 - [c186]Weisheng Zhang, Kaisong Song, Yangyang Kang, Zhongqing Wang, Changlong Sun, Xiaozhong Liu, Shoushan Li, Min Zhang, Luo Si:
Multi-Turn Dialogue Generation in E-Commerce Platform with the Context of Historical Dialogue. EMNLP (Findings) 2020: 1981-1990 - [c185]Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou:
Improving AMR Parsing with Sequence-to-Sequence Pre-training. EMNLP (1) 2020: 2501-2511 - [c184]Lijie Wang, Ao Zhang, Kun Wu, Ke Sun, Zhenghua Li, Hua Wu, Min Zhang, Haifeng Wang:
DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset. EMNLP (1) 2020: 6923-6935 - [c183]Yu Zhao, Mingyue Zhou, Zhenghua Li, Min Zhang:
Dependency Parsing with Noisy Multi-annotation Data. NLPCC (2) 2020: 120-131 - [c182]Houquan Zhou, Yu Zhang, Zhenghua Li, Min Zhang:
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? NLPCC (1) 2020: 179-191 - [c181]Mingming Yang, Xing Wang, Min Zhang, Tiejun Zhao:
Incorporating Phrase-Level Agreement into Neural Machine Translation. NLPCC (1) 2020: 416-428 - [i32]Yu Zhang, Zhenghua Li, Houquan Zhou, Min Zhang:
Is POS Tagging Necessary or Even Helpful for Neural Dependency Parsing? CoRR abs/2003.03204 (2020) - [i31]Yu Zhang, Zhenghua Li, Min Zhang:
Efficient Second-Order TreeCRF for Neural Dependency Parsing. CoRR abs/2005.00975 (2020) - [i30]Xiangyu Duan, Baijun Ji, Hao Jia, Min Tan, Min Zhang, Boxing Chen, Weihua Luo, Yue Zhang:
Bilingual Dictionary Based Neural Machine Translation without Using Parallel Sentences. CoRR abs/2007.02671 (2020) - [i29]Dongqin Xu, Junhui Li, Muhua Zhu, Min Zhang, Guodong Zhou:
Improving AMR Parsing with Sequence-to-Sequence Pre-training. CoRR abs/2010.01771 (2020) - [i28]Huaao Zhang, Shigui Qiu, Xiangyu Duan, Min Zhang:
Token Drop mechanism for Neural Machine Translation. CoRR abs/2010.11018 (2020) - [i27]Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang:
Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction. CoRR abs/2010.16275 (2020) - [i26]Hongqiu Wu, Hai Zhao, Min Zhang:
SIT3: Code Summarization with Structure-Induced Transformer. CoRR abs/2012.14710 (2020) - [i25]Yang Xu, Yiheng Xu, Tengchao Lv, Lei Cui, Furu Wei, Guoxin Wang, Yijuan Lu, Dinei A. F. Florêncio, Cha Zhang, Wanxiang Che, Min Zhang, Lidong Zhou:
LayoutLMv2: Multi-modal Pre-training for Visually-Rich Document Understanding. CoRR abs/2012.14740 (2020)
2010 – 2019
- 2019
- [j41]Xiaobin Xu, Min Zhang, Minzhou Luo, Jian Yang, Qinyang Qu, Zhiying Tan, Hao Yang:
Echo Signal Extraction Based on Improved Singular Spectrum Analysis and Compressed Sensing in Wavelet Domain. IEEE Access 7: 67402-67412 (2019) - [j40]Zhengqiu He, Wenliang Chen, Zhenghua Li, Wei Zhang, Hao Shao, Min Zhang:
Syntax-aware entity representations for neural relation extraction. Artif. Intell. 275: 602-617 (2019) - [j39]Ziwei Fan, Min Zhang, Zhenghua Li:
基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类 (BiLSTM-based Implicit Discourse Relation Classification Combining Self-attentionMechanism and Syntactic Information). 计算机科学 46(5): 214-220 (2019) - [j38]Zhen Xu, Chengjie Sun, Yinong Long, Bingquan Liu, Baoxun Wang, Mingjiang Wang, Min Zhang, Xiaolong Wang:
Dynamic Working Memory for Context-Aware Response Generation. IEEE ACM Trans. Audio Speech Lang. Process. 27(9): 1419-1431 (2019) - [j37]Siyu Liao, Yi Xie, Xue Lin, Yanzhi Wang, Min Zhang, Bo Yuan:
Reduced-Complexity Deep Neural Networks Design Using Multi-Level Compression. IEEE Trans. Sustain. Comput. 4(2): 245-251 (2019) - [j36]Qiang Yang, Zhixu Li, An Liu, Guanfeng Liu, Lei Zhao, Xiangliang Zhang, Min Zhang, Xiaofang Zhou:
A novel hybrid publication recommendation system using compound information. World Wide Web 22(6): 2499-2517 (2019) - [c180]Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-Aware Neural Semantic Role Labeling. AAAI 2019: 7305-7313 - [c179]Zhenghua Li, Xue Peng, Min Zhang, Rui Wang, Luo Si:
Semi-supervised Domain Adaptation for Dependency Parsing. ACL (1) 2019: 2386-2395 - [c178]Mingming Yang, Rui Wang, Kehai Chen, Masao Utiyama, Eiichiro Sumita, Min Zhang, Tiejun Zhao:
Sentence-Level Agreement for Neural Machine Translation. ACL (1) 2019: 3076-3082 - [c177]Xiangyu Duan, Mingming Yin, Min Zhang, Boxing Chen, Weihua Luo:
Zero-Shot Cross-Lingual Abstractive Sentence Summarization through Teaching Generation and Attention. ACL (1) 2019: 3162-3172 - [c176]Jingjing Wang, Changlong Sun, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Aspect Sentiment Classification Towards Question-Answering with Reinforced Bidirectional Attention Network. ACL (1) 2019: 3548-3557 - [c175]Yue Zhang, Wei Jiang, Qingrong Xia, Junjie Cao, Rui Wang, Zhenghua Li, Min Zhang:
SUDA-Alibaba at MRP 2019: Graph-Based Models with BERT. CoNLL Shared Task 2019: 149-157 - [c174]Fuzhen He, Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Pengpeng Zhao, Lei Zhao, Min Zhang, Zhigang Chen:
Unsupervised Entity Alignment Using Attribute Triples and Relation Triples. DASFAA (1) 2019: 367-382 - [c173]Huiping Yang, Yan Zhao, Jinfu Xia, Bin Yao, Min Zhang, Kai Zheng:
Music Playlist Recommendation with Long Short-Term Memory. DASFAA (2) 2019: 416-432 - [c172]Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang:
Contrastive Attention Mechanism for Abstractive Sentence Summarization. EMNLP/IJCNLP (1) 2019: 3042-3051 - [c171]Qingrong Xia, Zhenghua Li, Min Zhang:
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling. EMNLP/IJCNLP (1) 2019: 5381-5391 - [c170]Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou:
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. EMNLP/IJCNLP (1) 2019: 5458-5467 - [c169]Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang:
Emotion Detection with Neural Personal Discrimination. EMNLP/IJCNLP (1) 2019: 5498-5506 - [c168]Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. EMNLP/IJCNLP (1) 2019: 5580-5589 - [c167]Kaili Wu, Yu Hong, Mengmeng Zhu, Hongxuan Tang, Min Zhang:
Separate Answer Decoding for Multi-class Question Generation. IALP 2019: 325-330 - [c166]Hongxuan Tang, Yu Hong, Xin Chen, Kaili Wu, Min Zhang:
How to Answer Comparison Questions. IALP 2019: 337-342 - [c165]Huibin Ruan, Yu Hong, Yu Sun, Yang Xu, Min Zhang:
Using WHY-type Question-Answer Pairs to Improve Implicit Causal Relation Recognition. IALP 2019: 355-360 - [c164]Jinfu Xia, Yan Zhao, Guanfeng Liu, Jiajie Xu, Min Zhang, Kai Zheng:
Profit-driven Task Assignment in Spatial Crowdsourcing. IJCAI 2019: 1914-1920 - [c163]Ying Li, Zhenghua Li, Min Zhang, Rui Wang, Sheng Li, Luo Si:
Self-attentive Biaffine Dependency Parsing. IJCAI 2019: 5067-5073 - [c162]Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang:
Code-Switching for Enhancing NMT with Pre-Specified Translation. NAACL-HLT (1) 2019: 449-459 - [c161]Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang:
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. NAACL-HLT (1) 2019: 1151-1161 - [c160]Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang:
IPRE: A Dataset for Inter-Personal Relationship Extraction. NLPCC (2) 2019: 103-115 - [c159]Kang Xiao, Xiabing Zhou, Zhongqing Wang, Xiangyu Duan, Min Zhang:
Question Generation Based Product Information. NLPCC (2) 2019: 445-455 - [c158]Bo Zhang, Zhenghua Li, Min Zhang:
Conversion and Exploitation of Dependency Treebanks with Full-Tree LSTM. NLPCC (2) 2019: 456-465 - [c157]Yu Sun, Huibin Ruan, Yu Hong, Chenghao Wu, Min Zhang, Guodong Zhou:
Multi-grain Representation Learning for Implicit Discourse Relation Recognition. NLPCC (1) 2019: 725-736 - [c156]Xue Peng, Zhenghua Li, Min Zhang, Rui Wang, Yue Zhang, Luo Si:
Overview of the NLPCC 2019 Shared Task: Cross-Domain Dependency Parsing. NLPCC (2) 2019: 760-771 - [c155]Wei Jiang, Zhenghua Li, Yu Zhang, Min Zhang:
HLT@SUDA at SemEval-2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. SemEval@NAACL-HLT 2019: 11-15 - [i24]Wei Jiang, Yu Zhang, Zhenghua Li, Min Zhang:
HLT@SUDA at SemEval 2019 Task 1: UCCA Graph Parsing as Constituent Tree Parsing. CoRR abs/1903.04153 (2019) - [i23]Kai Song, Yue Zhang, Heng Yu, Weihua Luo, Kun Wang, Min Zhang:
Code-Switching for Enhancing NMT with Pre-Specified Translation. CoRR abs/1904.09107 (2019) - [i22]Meishan Zhang, Zhenghua Li, Guohong Fu, Min Zhang:
Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations. CoRR abs/1905.02878 (2019) - [i21]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. CoRR abs/1905.11543 (2019) - [i20]Qingrong Xia, Zhenghua Li, Min Zhang, Meishan Zhang, Guohong Fu, Rui Wang, Luo Si:
Syntax-aware Neural Semantic Role Labeling. CoRR abs/1907.09312 (2019) - [i19]Haitao Wang, Zhengqiu He, Jin Ma, Wenliang Chen, Min Zhang:
IPRE: a Dataset for Inter-Personal Relationship Extraction. CoRR abs/1907.12801 (2019) - [i18]Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang:
Emotion Detection with Neural Personal Discrimination. CoRR abs/1908.10703 (2019) - [i17]Haitao Wang, Zhengqiu He, Tong Zhu, Hao Shao, Wenliang Chen, Min Zhang:
CCKS 2019 Shared Task on Inter-Personal Relationship Extraction. CoRR abs/1908.11337 (2019) - [i16]Jie Zhu, Junhui Li, Muhua Zhu, Longhua Qian, Min Zhang, Guodong Zhou:
Modeling Graph Structure in Transformer for Better AMR-to-Text Generation. CoRR abs/1909.00136 (2019) - [i15]Jingjing Wang, Changlong Sun, Shoushan Li, Jiancheng Wang, Luo Si, Min Zhang, Xiaozhong Liu, Guodong Zhou:
Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning. CoRR abs/1910.09260 (2019) - [i14]Xiangyu Duan, Hongfei Yu, Mingming Yin, Min Zhang, Weihua Luo, Yue Zhang:
Contrastive Attention Mechanism for Abstractive Sentence Summarization. CoRR abs/1910.13114 (2019) - [i13]Qingrong Xia, Zhenghua Li, Min Zhang:
A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling. CoRR abs/1911.04641 (2019) - [i12]Huan Zhang, Zhao Zhang, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Robust Triple-Matrix-Recovery-Based Auto-Weighted Label Propagation for Classification. CoRR abs/1911.08678 (2019) - [i11]Zhengqiu He, Wenliang Chen, Yuyi Wang, Wei Zhang, Guanchun Wang, Min Zhang:
Improving Neural Relation Extraction with Positive and Unlabeled Learning. CoRR abs/1911.12556 (2019) - [i10]Baijun Ji, Zhirui Zhang, Xiangyu Duan, Min Zhang, Boxing Chen, Weihua Luo:
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation. CoRR abs/1912.01214 (2019) - 2018
- [j35]Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng:
Frame-Based Representation for Event Detection on Twitter. IEICE Trans. Inf. Syst. 101-D(4): 1180-1188 (2018) - [j34]Biao Zhang, Deyi Xiong, Jinsong Su, Min Zhang:
Learning better discourse representation for implicit discourse relation recognition via attention networks. Neurocomputing 275: 1241-1249 (2018) - [j33]Wei Chen, Youzheng Wu, Wenliang Chen, Min Zhang:
基于BiLSTM-CRF的关键词自动抽取 (Automatic Keyword Extraction Based on BiLSTM-CRF). 计算机科学 45(6A): 91-96 (2018) - [j32]Jinsong Su, Biao Zhang, Deyi Xiong, Yang Liu, Min Zhang:
Alignment-consistent recursive neural networks for bilingual phrase embeddings. Knowl. Based Syst. 156: 1-11 (2018) - [j31]Zhao Zhang, Lei Jia, Mingbo Zhao, Qiaolin Ye, Min Zhang, Meng Wang:
Adaptive non-negative projective semi-supervised learning for inductive classification. Neural Networks 108: 128-145 (2018) - [j30]Bingquan Liu, Zhen Xu, Chengjie Sun, Baoxun Wang, Xiaolong Wang, Derek F. Wong, Min Zhang:
Content-Oriented User Modeling for Personalized Response Ranking in Chatbots. IEEE ACM Trans. Audio Speech Lang. Process. 26(1): 122-133 (2018) - [j29]Xing Wang, Zhaopeng Tu, Min Zhang:
Incorporating Statistical Machine Translation Word Knowledge Into Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2255-2266 (2018) - [j28]Qiang Li, Derek F. Wong, Lidia S. Chao, Muhua Zhu, Tong Xiao, Jingbo Zhu, Min Zhang:
Linguistic Knowledge-Aware Neural Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 26(12): 2341-2354 (2018) - [j27]Zhao Zhang, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang, Shuicheng Yan:
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier. IEEE Trans. Neural Networks Learn. Syst. 29(8): 3798-3814 (2018) - [c154]Kai Song, Yue Zhang, Min Zhang, Weihua Luo:
Improved English to Russian Translation by Neural Suffix Prediction. AAAI 2018: 410-417 - [c153]YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang:
Adversarial Learning for Chinese NER From Crowd Annotations. AAAI 2018: 1627-1635 - [c152]Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang:
SEE: Syntax-Aware Entity Embedding for Neural Relation Extraction. AAAI 2018: 5795-5802 - [c151]Xinzhou Jiang, Zhenghua Li, Bo Zhang, Min Zhang, Sheng Li, Luo Si:
Supervised Treebank Conversion: Data and Approaches. ACL (1) 2018: 2706-2716 - [c150]Nancy F. Chen, Xiangyu Duan, Min Zhang, Rafael E. Banchs, Haizhou Li:
NEWS 2018 Whitepaper. NEWS@ACL 2018: 47-54 - [c149]Nancy F. Chen, Rafael E. Banchs, Min Zhang, Xiangyu Duan, Haizhou Li:
Report of NEWS 2018 Named Entity Transliteration Shared Task. NEWS@ACL 2018: 55-73 - [c148]Xiaobin Xu, Minzhou Luo, Zhiying Tan, Min Zhang:
Improved ICP Matching Algorithm Based on Laser Radar and IMU. CCIS 2018: 517-520 - [c147]Min Zhang, Minzhou Luo, Xiaobin Xu, Zhiying Tan, Hao Yang, Zhihao Li:
Planar Feature Extraction and Fitting Method Based on Density Clustering Algorithm. CCIS 2018: 583-587 - [c146]YaoSheng Yang, Wenliang Chen, Zhenghua Li, Zhengqiu He, Min Zhang:
Distantly Supervised NER with Partial Annotation Learning and Reinforcement Learning. COLING 2018: 2159-2169 - [c145]Lu Wang, Shoushan Li, Changlong Sun, Luo Si, Xiaozhong Liu, Min Zhang, Guodong Zhou:
One vs. Many QA Matching with both Word-level and Sentence-level Attention Network. COLING 2018: 2540-2550 - [c144]Yachao Li, Junhui Li, Min Zhang:
Adaptive Weighting for Neural Machine Translation. COLING 2018: 3038-3048 - [c143]Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, Yang Liu:
Improving the Transformer Translation Model with Document-Level Context. EMNLP 2018: 533-542 - [c142]Yang Xu, Yu Hong, Huibin Ruan, Jianmin Yao, Min Zhang, Guodong Zhou:
Using Active Learning to Expand Training Data for Implicit Discourse Relation Recognition. EMNLP 2018: 725-731 - [c141]Chenlin Shen, Changlong Sun, Jingjing Wang, Yangyang Kang, Shoushan Li, Xiaozhong Liu, Luo Si, Min Zhang, Guodong Zhou:
Sentiment Classification towards Question-Answering with Hierarchical Matching Network. EMNLP 2018: 3654-3663 - [c140]Jingjing Wang, Jie Li, Shoushan Li, Yangyang Kang, Min Zhang, Luo Si, Guodong Zhou:
Aspect Sentiment Classification with both Word-level and Clause-level Attention Networks. IJCAI 2018: 4439-4445 - [c139]Qi Lu, YaoSheng Yang, Zhenghua Li, Wenliang Chen, Min Zhang:
M-CNER: A Corpus for Chinese Named Entity Recognition in Multi-Domains. LREC 2018 - [c138]Jingli Zhang, Wenxuan Zhou, Yu Hong, Jianmin Yao, Min Zhang:
Using Entity Relation to Improve Event Detection via Attention Mechanism. NLPCC (1) 2018: 171-183 - [c137]Xiaozheng Dong, Yu Hong, Xin Chen, Weikang Li, Min Zhang, Qiaoming Zhu:
Neural Question Generation with Semantics of Question Type. NLPCC (2) 2018: 213-223 - [e12]Nancy F. Chen, Rafael E. Banchs, Xiangyu Duan, Min Zhang, Haizhou Li:
Proceedings of the Seventh Named Entities Workshop, NEWS@ACL 2018, Melbourne, Australia, July 20, 2018. Association for Computational Linguistics 2018, ISBN 978-1-948087-37-7 [contents] - [e11]Min Zhang, Vincent Ng, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 7th CCF International Conference, NLPCC 2018, Hohhot, China, August 26-30, 2018, Proceedings, Part I. Lecture Notes in Computer Science 11108, Springer 2018, ISBN 978-3-319-99494-9 [contents] - [e10]Min Zhang, Vincent Ng, Dongyan Zhao, Sujian Li, Hongying Zan:
Natural Language Processing and Chinese Computing - 7th CCF International Conference, NLPCC 2018, Hohhot, China, August 26-30, 2018, Proceedings, Part II. Lecture Notes in Computer Science 11109, Springer 2018, ISBN 978-3-319-99500-7 [contents] - [i9]Zhengqiu He, Wenliang Chen, Zhenghua Li, Meishan Zhang, Wei Zhang, Min Zhang:
SEE: Syntax-aware Entity Embedding for Neural Relation Extraction. CoRR abs/1801.03603 (2018) - [i8]Kai Song, Yue Zhang, Min Zhang, Weihua Luo:
Improved English to Russian Translation by Neural Suffix Prediction. CoRR abs/1801.03615 (2018) - [i7]YaoSheng Yang, Meishan Zhang, Wenliang Chen, Wei Zhang, Haofen Wang, Min Zhang:
Adversarial Learning for Chinese NER from Crowd Annotations. CoRR abs/1801.05147 (2018) - [i6]Jiacheng Zhang, Huanbo Luan, Maosong Sun, Feifei Zhai, Jingfang Xu, Min Zhang, Yang Liu:
Improving the Transformer Translation Model with Document-Level Context. CoRR abs/1810.03581 (2018) - 2017
- [j26]Wenliang Chen, Muhua Zhu, Min Zhang, Yue Zhang, Jingbo Zhu:
Improving Shift-Reduce Phrase-Structure Parsing with Constituent Boundary Information. Comput. Intell. 33(3): 428-447 (2017) - [j25]Zhixu Li, Qiang Yang, An Liu, Guanfeng Liu, Jia Zhu, Jia-Jie Xu, Kai Zheng, Min Zhang:
Crowd-Guided Entity Matching with Consolidated Textual Data. J. Comput. Sci. Technol. 32(5): 858-876 (2017) - [j24]An Liu, Zhixu Li, Guanfeng Liu, Kai Zheng, Min Zhang, Qing Li, Xiangliang Zhang:
Privacy-Preserving Task Assignment in Spatial Crowdsourcing. J. Comput. Sci. Technol. 32(5): 905-918 (2017) - [j23]Huimin Gong, Xiangyu Duan, Min Zhang:
自纠正词对齐 (Self-correction of Word Alignments). 计算机科学 44(12): 216-220 (2017) - [j22]Zhao Zhang, Lei Jia, Min Zhang, Bing Li, Li Zhang, Fanzhang Li:
Discriminative clustering on manifold for adaptive transductive classification. Neural Networks 94: 260-273 (2017) - [j21]Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen, Meishan Zhang, Guohong Fu:
Coupled POS Tagging on Heterogeneous Annotations. IEEE ACM Trans. Audio Speech Lang. Process. 25(3): 557-571 (2017) - [c136]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. AAAI 2017: 3330-3336 - [c135]Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou:
Modeling Source Syntax for Neural Machine Translation. ACL (1) 2017: 688-697 - [c134]Yachao Li, Deyi Xiong, Min Zhang:
Neural Machine Translation with Phrasal Attention. CWMT 2017: 1-8 - [c133]Chen Gong, Zhenghua Li, Min Zhang, Xinzhou Jiang:
Multi-Grained Chinese Word Segmentation. EMNLP 2017: 692-703 - [c132]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. EMNLP 2017: 1421-1431 - [c131]Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng:
Semantic-frame representation for event detection on Twitter. IALP 2017: 264-267 - [c130]Yue Zhang, Zhenghua Li, Jun Lang, Qingrong Xia, Min Zhang:
Dependency Parsing with Partial Annotations: An Empirical Comparison. IJCNLP(1) 2017: 49-58 - [i5]Junhui Li, Deyi Xiong, Zhaopeng Tu, Muhua Zhu, Min Zhang, Guodong Zhou:
Modeling Source Syntax for Neural Machine Translation. CoRR abs/1705.01020 (2017) - [i4]Xing Wang, Zhaopeng Tu, Deyi Xiong, Min Zhang:
Translating Phrases in Neural Machine Translation. CoRR abs/1708.01980 (2017) - 2016
- [j20]Wenliang Chen, Min Zhang, Yue Zhang, Xiangyu Duan:
Exploiting meta features for dependency parsing and part-of-speech tagging. Artif. Intell. 230: 173-191 (2016) - [c129]Zhenghua Li, Min Zhang, Yue Zhang, Zhanyi Liu, Wenliang Chen, Hua Wu, Haifeng Wang:
Active Learning for Dependency Parsing with Partial Annotation. ACL (1) 2016 - [c128]Xiangyu Duan, Min Zhang, Haizhou Li, Rafael E. Banchs, A. Kumaran:
Whitepaper of NEWS 2016 Shared Task on Machine Transliteration. NEWS@ACM 2016: 49-57 - [c127]Xiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumaran:
Report of NEWS 2016 Machine Transliteration Shared Task. NEWS@ACM 2016: 58-72 - [c126]Fangyuan Li, Ruihong Huang, Deyi Xiong, Min Zhang:
Learning Event Expressions via Bilingual Structure Projection. COLING 2016: 1441-1450 - [c125]Wenliang Chen, Zhenjie Zhang, Zhenghua Li, Min Zhang:
Distributed Representations for Building Profiles of Users and Items from Text Reviews. COLING 2016: 2143-2153 - [c124]Haiqing Tang, Deyi Xiong, Min Zhang, Zhengxian Gong:
Improving Statistical Machine Translation with Selectional Preferences. COLING 2016: 2154-2163 - [c123]Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang:
Bilingual Autoencoders with Global Descriptors for Modeling Parallel Sentences. COLING 2016: 2548-2558 - [c122]Ziwei Fan, Zhenghua Li, Min Zhang:
Finding Arguments as Sequence Labeling in Discourse Parsing. CoNLL Shared Task 2016: 150-157 - [c121]Biao Zhang, Deyi Xiong, Jinsong Su, Qun Liu, Rongrong Ji, Hong Duan, Min Zhang:
Variational Neural Discourse Relation Recognizer. EMNLP 2016: 382-391 - [c120]Biao Zhang, Deyi Xiong, Jinsong Su, Hong Duan, Min Zhang:
Variational Neural Machine Translation. EMNLP 2016: 521-530 - [c119]Zhenghua Li, Jiayuan Chao, Min Zhang, Jiwen Yang:
Fast Coupled Sequence Labeling on Heterogeneous Annotations via Context-aware Pruning. EMNLP 2016: 753-762 - [c118]Junjie Yu, Wenliang Chen, Zhenghua Li, Min Zhang:
Building Powerful Dependency Parsers for Resource-Poor Languages. NLPCC/ICCPOL 2016: 27-38 - [c117]Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang:
Word Segmentation on Micro-Blog Texts with External Lexicon and Heterogeneous Data. NLPCC/ICCPOL 2016: 711-721 - [e9]Xiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumaran:
Proceedings of the Sixth Named Entity Workshop, NEWS@ACL 2016, Berlin, Germany, August 12, 2016. Association for Computational Linguistics 2016, ISBN 978-1-945626-16-6 [contents] - [i3]Qingrong Xia, Zhenghua Li, Jiayuan Chao, Min Zhang:
Word Segmentation on Micro-blog Texts with External Lexicon and Heterogeneous Data. CoRR abs/1608.01448 (2016) - [i2]Zhenghua Li, Yue Zhang, Jiayuan Chao, Min Zhang:
Training Dependency Parsers with Partial Annotation. CoRR abs/1609.09247 (2016) - [i1]Xing Wang, Zhengdong Lu, Zhaopeng Tu, Hang Li, Deyi Xiong, Min Zhang:
Neural Machine Translation Advised by Statistical Machine Translation. CoRR abs/1610.05150 (2016) - 2015
- [j19]Deyi Xiong, Min Zhang:
Backward and trigger-based language models for statistical machine translation. Nat. Lang. Eng. 21(2): 201-226 (2015) - [j18]Guoyu Tang, Yunqing Xia, Jun Sun, Min Zhang, Thomas Fang Zheng:
Statistical word sense aware topic models. Soft Comput. 19(1): 13-27 (2015) - [j17]Wenliang Chen, Min Zhang, Yue Zhang:
Distributed Feature Representations for Dependency Parsing. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 451-460 (2015) - [j16]Deyi Xiong, Min Zhang, Xing Wang:
Topic-Based Coherence Modeling for Statistical Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 23(3): 483-493 (2015) - [c116]Jinsong Su, Deyi Xiong, Yang Liu, Xianpei Han, Hongyu Lin, Junfeng Yao, Min Zhang:
A Context-Aware Topic Model for Statistical Machine Translation. ACL (1) 2015: 229-238 - [c115]Zhenghua Li, Jiayuan Chao, Min Zhang, Wenliang Chen:
Coupled Sequence Labeling on Heterogeneous Annotations: POS Tagging as a Case Study. ACL (1) 2015: 1783-1792 - [c114]Min Zhang, Haizhou Li, Rafael E. Banchs, A. Kumaran:
Whitepaper of NEWS 2015 Shared Task on Machine Transliteration. NEWS@ACL 2015: 1-9 - [c113]Rafael E. Banchs, Min Zhang, Xiangyu Duan, Haizhou Li, A. Kumaran:
Report of NEWS 2015 Machine Transliteration Shared Task. NEWS@ACL 2015: 10-23 - [c112]Zhengxian Gong, Min Zhang, Guodong Zhou:
Document-Level Machine Translation Evaluation with Gist Consistency and Text Cohesion. DiscoMT@EMNLP 2015: 33-40 - [c111]Jinsong Su, Deyi Xiong, Biao Zhang, Yang Liu, Junfeng Yao, Min Zhang:
Bilingual Correspondence Recursive Autoencoder for Statistical Machine Translation. EMNLP 2015: 1248-1258 - [c110]Xing Wang, Deyi Xiong, Min Zhang:
Learning Semantic Representations for Nonterminals in Hierarchical Phrase-Based Translation. EMNLP 2015: 1391-1400 - [c109]Huimin Gong, Xiangyu Duan, Min Zhang:
Refining parallel quality for machine translation. IALP 2015: 9-12 - [c108]Min Zhang, Ting Liu, Ailan Li:
Design and implementation of face recognition system based on Windows. ICDIP 2015: 96311E - [c107]Chaochao Wang, Deyi Xiong, Min Zhang, Chunyu Kit:
Learning bilingual distributed phrase represenations for statistical machine translation. MTSummit 2015 - [c106]Jiayuan Chao, Zhenghua Li, Wenliang Chen, Min Zhang:
Exploiting Heterogeneous Annotations for Weibo Word Segmentation and POS Tagging. NLPCC 2015: 495-506 - [c105]Wenliang Chen, Zhenghua Li, Min Zhang:
Linear and Non-Linear Models for Purchase Prediction. RecSys Challenge 2015: 9:1-9:4 - [e8]Xiangyu Duan, Rafael E. Banchs, Min Zhang, Haizhou Li, A. Kumaran:
Proceedings of the Fifth Named Entity Workshop, NEWS@ACL 2015, Beijing, China, July 31, 2015. Association for Computational Linguistics 2015, ISBN 978-1-941643-65-5 [contents] - [e7]Maosong Sun, Zhiyuan Liu, Min Zhang, Yang Liu:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 14th China National Conference, CCL 2015 and Third International Symposium, NLP-NABD 2015, Guangzhou, China, November 13-14, 2015, Proceedings. Lecture Notes in Computer Science 9427, Springer 2015, ISBN 978-3-319-25815-7 [contents] - 2014
- [j15]Min Zhang, Xinyan Xiao, Deyi Xiong, Qun Liu:
Topic-Based Dissimilarity and Sensitivity Models for Translation Rule Selection. J. Artif. Intell. Res. 50: 1-30 (2014) - [j14]Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen:
Joint Optimization for Chinese POS Tagging and Dependency Parsing. IEEE ACM Trans. Audio Speech Lang. Process. 22(1): 274-286 (2014) - [j13]Min Zhang, Xiangyu Duan, Wenliang Chen:
Bayesian Constituent Context Model for Grammar Induction. IEEE ACM Trans. Audio Speech Lang. Process. 22(2): 531-541 (2014) - [c104]Deyi Xiong, Min Zhang:
Semantics, Discourse and Statistical Machine Translation. ACL (Tutorial Abstracts) 2014: 11-12 - [c103]Zhenghua Li, Min Zhang, Wenliang Chen:
Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing. ACL (1) 2014: 457-467 - [c102]Deyi Xiong, Min Zhang:
A Sense-Based Translation Model for Statistical Machine Translation. ACL (1) 2014: 1459-1469 - [c101]Xiangyu Duan, Min Zhang:
Chinese-English SMT for cross-language dialogue agent support. APSIPA 2014: 1-4 - [c100]Guoyu Tang, Yunqing Xia, Jun Sun, Min Zhang, Thomas Fang Zheng:
Topic Models Incorporating Statistical Word Senses. CICLing (1) 2014: 151-162 - [c99]Wenliang Chen, Zhenghua Li, Min Zhang:
Dependency Parsing: Past, Present, and Future. COLING (Tutorials) 2014: 14-16 - [c98]Zhenghua Li, Min Zhang, Wenliang Chen:
Soft Cross-lingual Syntax Projection for Dependency Parsing. COLING 2014: 783-793 - [c97]Wenliang Chen, Yue Zhang, Min Zhang:
Feature Embedding for Dependency Parsing. COLING 2014: 816-826 - [c96]Xiangyu Duan, Min Zhang, Qiaoming Zhu:
Synchronous Constituent Context Model for Inducing Bilingual Synchronous Structures. COLING 2014: 1865-1874 - [c95]Xing Wang, Deyi Xiong, Min Zhang, Yu Hong, Jianmin Yao:
A Topic-Based Reordering Model for Statistical Machine Translation. NLPCC 2014: 414-421 - 2013
- [j12]Min Zhang, Wenliang Chen, Xiangyu Duan, Rong Zhang:
Improving Graph-Based Dependency Parsing Models With Dependency Language Models. IEEE Trans. Speech Audio Process. 21(11): 2313-2323 (2013) - [c94]Deyi Xiong, Min Zhang:
A Topic-Based Coherence Model for Statistical Machine Translation. AAAI 2013: 977-983 - [c93]Muhua Zhu, Yue Zhang, Wenliang Chen, Min Zhang, Jingbo Zhu:
Fast and Accurate Shift-Reduce Constituent Parsing. ACL (1) 2013: 434-443 - [c92]Yanxia Qin, Dequan Zheng, Tiejun Zhao, Min Zhang:
Chinese Terminology Extraction Using EM-Based Transfer Learning Method. CICLing (1) 2013: 139-152 - [c91]Wenliang Chen, Min Zhang, Yue Zhang:
Semi-Supervised Feature Transformation for Dependency Parsing. EMNLP 2013: 1303-1313 - [c90]Deyi Xiong, Yang Ding, Min Zhang, Chew Lim Tan:
Lexical Chain Based Cohesion Models for Document-Level Statistical Machine Translation. EMNLP 2013: 1563-1573 - [c89]Xiangyu Duan, Min Zhang, Wenliang Chen:
Smoothing for Bracketing Induction. IJCAI 2013: 2085-2091 - [c88]Deyi Xiong, Guosheng Ben, Min Zhang, Yajuan Lv, Qun Liu:
Modeling Lexical Cohesion for Document-Level Machine Translation. IJCAI 2013: 2183-2189 - [c87]Yanxia Qin, Yue Zhang, Min Zhang, Dequan Zheng:
Feature-Rich Segment-Based News Event Detection on Twitter. IJCNLP 2013: 302-310 - [e6]Rafael E. Banchs, Fabrizio Silvestri, Tie-Yan Liu, Min Zhang, Sheng Gao, Jun Lang:
Information Retrieval Technology - 9th Asia Information Retrieval Societies Conference, AIRS 2013, Singapore, December 9-11, 2013. Proceedings. Lecture Notes in Computer Science 8281, Springer 2013, ISBN 978-3-642-45067-9 [contents] - [e5]Maosong Sun, Min Zhang, Dekang Lin, Haifeng Wang:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 12th China National Conference, CCL 2013 and First International Symposium, NLP-NABD 2013, Suzhou, China, October 10-12, 2013. Proceedings. Lecture Notes in Computer Science 8202, Springer 2013, ISBN 978-3-642-41490-9 [contents] - 2012
- [j11]Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka, Yujie Zhang, Yiou Wang, Kentaro Torisawa, Haizhou Li:
Bitext Dependency Parsing With Auto-Generated Bilingual Treebank. IEEE Trans. Speech Audio Process. 20(5): 1461-1472 (2012) - [c86]Wenliang Chen, Min Zhang, Haizhou Li:
Utilizing Dependency Language Models for Graph-based Dependency Parsing Models. ACL (1) 2012: 213-222 - [c85]Xinyan Xiao, Deyi Xiong, Min Zhang, Qun Liu, Shouxun Lin:
A Topic Similarity Model for Hierarchical Phrase-based Translation. ACL (1) 2012: 750-758 - [c84]Deyi Xiong, Min Zhang, Haizhou Li:
Modeling the Translation of Predicate-Argument Structure for SMT. ACL (1) 2012: 902-911 - [c83]Min Zhang, Haizhou Li, A. Kumaran, Ming Liu:
Whitepaper of NEWS 2012 Shared Task on Machine Transliteration. NEWS@ACL 2012: 1-9 - [c82]Min Zhang, Haizhou Li, A. Kumaran, Ming Liu:
Report of NEWS 2012 Machine Transliteration Shared Task. NEWS@ACL 2012: 10-20 - [c81]Zhengxian Gong, Min Zhang, Chew Lim Tan, Guodong Zhou:
Classifier-Based Tense Model for SMT. COLING (Posters) 2012: 411-420 - [c80]Yun Huang, Min Zhang, Chew Lim Tan:
Improved Combinatory Categorial Grammar Induction with Boundary Words and Bayesian Inference. COLING 2012: 1257-1274 - [c79]Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu:
A Separately Passive-Aggressive Training Algorithm for Joint POS Tagging and Dependency Parsing. COLING 2012: 1681-1698 - [c78]Zhengxian Gong, Min Zhang, Chew Lim Tan, Guodong Zhou:
N-gram-based Tense Models for Statistical Machine Translation. EMNLP-CoNLL 2012: 276-285 - [c77]Yun Huang, Min Zhang, Chew Lim Tan:
Improved Constituent Context Model with Features. PACLIC 2012: 564-573 - [e4]Min Zhang, Haizhou Li, A. Kumaran:
Proceedings of the 4th Named Entity Workshop, NEWS@ACL 2012, Jeju, Korea, July 12, 2012. Association for Computational Linguistics 2012, ISBN 978-1-937284-40-4 [contents] - 2011
- [j10]Deyi Xiong, Min Zhang, Haizhou Li:
A Maximum-Entropy Segmentation Model for Statistical Machine Translation. IEEE ACM Trans. Audio Speech Lang. Process. 19(8): 2494-2505 (2011) - [c76]Jun Sun, Min Zhang, Chew Lim Tan:
Tree Sequence Kernel for Natural Language. AAAI 2011: 921-926 - [c75]Yun Huang, Min Zhang, Chew Lim Tan:
Nonparametric Bayesian Machine Transliteration with Synchronous Adaptor Grammars. ACL (2) 2011: 534-539 - [c74]Deyi Xiong, Min Zhang, Haizhou Li:
Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers. ACL 2011: 1288-1297 - [c73]Min Zhang, Haizhou Li, A. Kumaran, Ming Liu:
Report of NEWS 2011 Machine Transliteration Shared Task. NEWS@IJCNLP 2011: 1-13 - [c72]Min Zhang, A. Kumaran, Haizhou Li:
Whitepaper of NEWS 2011 Shared Task on Machine Transliteration. NEWS@IJCNLP 2011: 14-22 - [c71]Wenliang Chen, Jun'ichi Kazama, Min Zhang, Yoshimasa Tsuruoka, Yujie Zhang, Yiou Wang, Kentaro Torisawa, Haizhou Li:
SMT Helps Bitext Dependency Parsing. EMNLP 2011: 73-83 - [c70]Zhengxian Gong, Min Zhang, Guodong Zhou:
Cache-based Document-level Statistical Machine Translation. EMNLP 2011: 909-919 - [c69]Zhenghua Li, Min Zhang, Wanxiang Che, Ting Liu, Wenliang Chen, Haizhou Li:
Joint Models for Chinese POS Tagging and Dependency Parsing. EMNLP 2011: 1180-1191 - [c68]Xiangyu Duan, Min Zhang:
Optimal Translation Boundaries for BTG-Based Decoding. IALP 2011: 205-208 - [c67]Guoyu Tang, Yunqing Xia, Min Zhang, Haizhou Li, Fang Zheng:
CLGVSM: Adapting Generalized Vector Space Model to Cross-lingual Document Clustering. IJCNLP 2011: 580-588 - [c66]Min Zhang, Xiangyu Duan, Ming Liu, Yunqing Xia, Haizhou Li:
Joint Alignment and Artificial Data Generation: An Empirical Study of Pivot-based Machine Transliteration. IJCNLP 2011: 1207-1215 - [e3]Min Zhang, Haizhou Li, A. Kumaran:
Proceedings of the 3rd Named Entities Workshop, NEWS@IJCNLP 2011, Chiang Mai, Thailand, November 12, 2011. Asian Federation of Natural Language Processing 2011 [contents] - 2010
- [j9]Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
Linguistically Annotated Reordering: Evaluation and Analysis. Comput. Linguistics 36(3): 535-568 (2010) - [j8]Min Zhang:
Introduction to Chinese Natural Language Processing Kam-Fai Wong, Wenjie Li, Ruifeng Xu, and Zheng-sheng Zhang (Chinese University of Hong Kong, Hong Kong Polytechnic University, City University of Hong Kong, and San Diego State University) Princeton, NJ: Morgan & Claypool (Synthesis Lectures on Human Language Technologies, edited by Graeme Hirst, volume 4), 2010, x+148 pp; paperbound, ISBN 978-1-59829-932-8, $40.00; e-book, ISBN 978-1-59829-933-5, $30.00 or by subscription. Comput. Linguistics 36(4): 777-780 (2010) - [c65]Xiangyu Duan, Min Zhang, Haizhou Li:
Pseudo-Word for Phrase-Based Machine Translation. ACL 2010: 148-156 - [c64]Jun Sun, Min Zhang, Chew Lim Tan:
Exploring Syntactic Structural Features for Sub-Tree Alignment Using Bilingual Tree Kernels. ACL 2010: 306-315 - [c63]Deyi Xiong, Min Zhang, Haizhou Li:
Error Detection for Statistical Machine Translation Using Linguistic Features. ACL 2010: 604-611 - [c62]Min Zhang, Hui Zhang, Haizhou Li:
Convolution Kernel over Packed Parse Forest. ACL 2010: 875-885 - [c61]Haizhou Li, A. Kumaran, Min Zhang, Vladimir Pervouchine:
Report of NEWS 2010 Transliteration Generation Shared Task. NEWS@ACL 2010: 1-11 - [c60]Haizhou Li, A. Kumaran, Min Zhang, Vladimir Pervouchine:
Whitepaper of NEWS 2010 Shared Task on Transliteration Generation. NEWS@ACL 2010: 12-20 - [c59]Lianhau Lee, AiTi Aw, Min Zhang, Haizhou Li:
EM-based Hybrid Model for Bilingual Terminology Extraction from Comparable Corpora. COLING (Posters) 2010: 639-646 - [c58]Shui Liu, Sheng Li, Tiejun Zhao, Min Zhang, Pengyuan Liu:
Head-modifier Relation based Non-lexical Reordering Model for Phrase-Based Translation. COLING (Posters) 2010: 748-756 - [c57]Vladimir Pervouchine, Min Zhang, Ming Liu, Haizhou Li:
Improving Name Origin Recognition with Context Features and Unlabelled Data. COLING (Posters) 2010: 972-978 - [c56]Jun Sun, Min Zhang, Chew Lim Tan:
Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data. COLING 2010: 1047-1055 - [c55]Min Zhang, Xiangyu Duan, Vladimir Pervouchine, Haizhou Li:
Machine Transliteration: Leveraging on Third Languages. COLING (Posters) 2010: 1444-1452 - [c54]Hui Zhang, Min Zhang, Haizhou Li, Engsiong Chng:
Non-Isomorphic Forest Pair Translation. EMNLP 2010: 440-450 - [c53]Xiangyu Duan, Rafael E. Banchs, Jun Lang, Deyi Xiong, AiTi Aw, Min Zhang, Haizhou Li:
I2r's machine translation system for IWSLT 2010. IWSLT 2010: 67-72 - [c52]Deyi Xiong, Min Zhang, Haizhou Li:
Learning Translation Boundaries for Phrase-Based Decoding. HLT-NAACL 2010: 136-144 - [e2]Minghui Dong, Guodong Zhou, Haoliang Qi, Min Zhang:
International Conference on Asian Language Processing, IALP 2010, Harbin, Heilongjiang, China, 28-30 December 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4288-1 [contents]
2000 – 2009
- 2009
- [j7]Boxing Chen, Min Zhang, AiTi Aw:
Two-Stage Hypotheses Generation for Spoken Language Translation. ACM Trans. Asian Lang. Inf. Process. 8(1): 4:1-4:22 (2009) - [c51]Lianhau Lee, AiTi Aw, Thuy Vu, Sharifah Aljunied Mahani, Min Zhang, Haizhou Li:
MARS: Multilingual Access and Retrieval System with Enhanced Query Translation and Document Retrieval. ACL/IJCNLP (Software Demonstrations) 2009: 21-24 - [c50]Hui Zhang, Min Zhang, Haizhou Li, AiTi Aw, Chew Lim Tan:
Forest-based Tree Sequence to String Translation Model. ACL/IJCNLP 2009: 172-180 - [c49]Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
A Syntax-Driven Bracketing Model for Phrase-Based Translation. ACL/IJCNLP 2009: 315-323 - [c48]Jun Sun, Min Zhang, Chew Lim Tan:
A non-contiguous Tree Sequence Alignment-based Model for Statistical Machine Translation. ACL/IJCNLP 2009: 914-922 - [c47]Boxing Chen, Min Zhang, Haizhou Li, AiTi Aw:
A Comparative Study of Hypothesis Alignment and its Improvement for Machine Translation System Combination. ACL/IJCNLP 2009: 941-948 - [c46]Haizhou Li, A. Kumaran, Vladimir Pervouchine, Min Zhang:
Report of NEWS 2009 Machine Transliteration Shared Task. NEWS@IJCNLP 2009: 1-18 - [c45]Haizhou Li, A. Kumaran, Min Zhang, Vladimir Pervouchine:
Whitepaper of NEWS 2009 Machine Transliteration Shared Task. NEWS@IJCNLP 2009: 19-26 - [c44]Thuy Vu, AiTi Aw, Min Zhang:
Feature-Based Method for Document Alignment in Comparable News Corpora. EACL 2009: 843-851 - [c43]Min Zhang, Haizhou Li:
Tree Kernel-based SVM with Structured Syntactic Knowledge for BTG-based Phrase Reordering. EMNLP 2009: 698-707 - [c42]Hui Zhang, Min Zhang, Haizhou Li, Chew Lim Tan:
Fast Translation Rule Matching for Syntax-based Statistical Machine Translation. EMNLP 2009: 1037-1045 - [c41]Hui Zhang, Min Zhang, Chew Lim Tan, Haizhou Li:
K-Best Combination of Syntactic Parsers. EMNLP 2009: 1552-1560 - [c40]Shuanhu Bai, Min Zhang, Haizhou Li:
Semi-supervised Learning of Domain-Specific Language Models from General Domain Data. IALP 2009: 273-279 - [c39]Xiangyu Duan, Deyi Xiong, Hui Zhang, Min Zhang, Haizhou Li:
I2r's machine translation system for IWSLT 2009. IWSLT 2009: 50-54 - [c38]Xiangyu Duan, Deyi Xiong, Hui Zhang, Min Zhang, Haizhou Li:
I2R's machine translation system for IWSLT 2009. IWSLT (Evaluation Campaign) 2009 - [c37]Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
Efficient Beam Thresholding for Statistical Machine Translation. MTSummit 2009 - [c36]Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
A Source Dependency Model for Statistical Machine Translation. MTSummit 2009 - [e1]Min Zhang, Haizhou Li, Kim-Teng Lua, Minghui Dong:
2009 International Conference on Asian Language Processing, IALP 2009, Singapore, December 7-9, 2009. IEEE Computer Society 2009, ISBN 978-0-7695-3904-1 [contents] - 2008
- [j6]Min Zhang, Guodong Zhou, AiTi Aw:
Exploring syntactic structured features over parse trees for relation extraction using kernel methods. Inf. Process. Manag. 44(2): 687-701 (2008) - [j5]Guodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zhu:
Hierarchical learning strategy in semantic relation extraction. Inf. Process. Manag. 44(3): 1008-1021 (2008) - [j4]Wanxiang Che, Min Zhang, AiTi Aw, Chew Lim Tan, Ting Liu, Sheng Li:
Using a Hybrid Convolution Tree Kernel for Semantic Role Labeling. ACM Trans. Asian Lang. Inf. Process. 7(4): 13:1-13:23 (2008) - [j3]Min Zhang, Wanxiang Che, Guodong Zhou, AiTi Aw, Chew Lim Tan, Ting Liu, Sheng Li:
Semantic Role Labeling Using a Grammar-Driven Convolution Tree Kernel. IEEE Trans. Speech Audio Process. 16(7): 1315-1329 (2008) - [c35]Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
A Linguistically Annotated Reordering Model for BTG-based Statistical Machine Translation. ACL (2) 2008: 149-152 - [c34]Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li:
Exploiting N-best Hypotheses for SMT Self-Enhancement. ACL (2) 2008: 157-160 - [c33]Min Zhang, Hongfei Jiang, AiTi Aw, Haizhou Li, Chew Lim Tan, Sheng Li:
A Tree Sequence Alignment-based Tree-to-Tree Translation Model. ACL 2008: 559-567 - [c32]Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li:
Regenerating Hypotheses for Statistical Machine Translation. COLING 2008: 105-112 - [c31]Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
Linguistically Annotated BTG for Statistical Machine Translation. COLING 2008: 1009-1016 - [c30]Min Zhang, Hongfei Jiang, Haizhou Li, AiTi Aw, Sheng Li:
Grammar Comparison Study for Translational Equivalence Modeling and Statistical Machine Translation. COLING 2008: 1097-1104 - [c29]Min Zhang, Chengjie Sun, Haizhou Li, AiTi Aw, Chew Lim Tan, Xiaolong Wang:
Name Origin Recognition Using Maximum Entropy Model and Diverse Features. IJCNLP 2008: 56-63 - [c28]Deyi Xiong, Min Zhang, AiTi Aw, Haitao Mi, Qun Liu, Shouxun Lin:
Refinements in BTG-based Statistical Machine Translation. IJCNLP 2008: 505-512 - [c27]Thuy Vu, AiTi Aw, Min Zhang:
Term Extraction Through Unithood and Termhood Unification. IJCNLP 2008: 631-636 - [c26]Wanxiang Che, Min Zhang, AiTi Aw, Chew Lim Tan, Ting Liu, Sheng Li:
Fast Computing Grammar-driven Convolution Tree Kernel for Semantic Role Labeling. IJCNLP 2008: 781-786 - [c25]Boxing Chen, Deyi Xiong, Min Zhang, AiTi Aw, Haizhou Li:
I2r multi-pass machine translation system for IWSLT 2008. IWSLT 2008: 46-51 - [c24]Maxim Khalilov, Marta R. Costa-jussà, Carlos A. Henríquez Q., José A. R. Fonollosa, Adolfo Hernández, José B. Mariño, Rafael E. Banchs, Boxing Chen, Min Zhang, AiTi Aw, Haizhou Li:
The TALP&I2r SMT systems for IWSLT 2008. IWSLT 2008: 116-123 - 2007
- [j2]Guodong Zhou, Min Zhang, Junhui Li, Qiaoming Zhu:
Building a Collocation Net. Int. J. Comput. Process. Orient. Lang. 20(2/3): 181-196 (2007) - [j1]Guodong Zhou, Min Zhang:
Extracting relation information from text documents by exploring various types of knowledge. Inf. Process. Manag. 43(4): 969-982 (2007) - [c23]Min Zhang, Wanxiang Che, AiTi Aw, Chew Lim Tan, Guodong Zhou, Ting Liu, Sheng Li:
A Grammar-driven Convolution Tree Kernel for Semantic Role Classification. ACL 2007 - [c22]Guodong Zhou, Min Zhang, Dong-Hong Ji, Qiaoming Zhu:
Tree Kernel-Based Relation Extraction with Context-Sensitive Structured Parse Tree Information. EMNLP-CoNLL 2007: 728-736 - [c21]Boxing Chen, Jun Sun, Hongfei Jiang, Min Zhang, Ai Ti Aw:
I2r Chinese-English translation system for IWSLT 2007. IWSLT 2007: 55-60 - [c20]Min Zhang, Hongfei Jiang, Ai Ti Aw, Jun Sun, Sheng Li, Chew Lim Tan:
A tree-to-tree alignment-based model for statistical machine translation. MTSummit 2007 - 2006
- [c19]AiTi Aw, Min Zhang, Juan Xiao, Jian Su:
A Phrase-Based Statistical Model for SMS Text Normalization. ACL 2006 - [c18]Wanxiang Che, Min Zhang, Ting Liu, Sheng Li:
A Hybrid Convolution Tree Kernel for Semantic Role Labeling. ACL 2006 - [c17]Min Zhang, Jie Zhang, Jian Su, Guodong Zhou:
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features. ACL 2006 - [c16]Guodong Zhou, Jian Su, Min Zhang:
Modeling Commonality among Related Classes in Relation Extraction. ACL 2006 - [c15]Min Zhang, Guodong Zhou, Lingpeng Yang, Dong-Hong Ji:
Chinese Word Segmentation and Named Entity Recognition Based on a Context-Dependent Mutual Information Independence Model. SIGHAN@COLING/ACL 2006: 154-157 - [c14]Guodong Zhou, Min Zhang, Guohong Fu:
Hierarchical Learning Strategy in Relation Extraction Using Support Vector Machines. AIRS 2006: 67-78 - [c13]Guohong Fu, Kang-Kwong Luke, Min Zhang, Guodong Zhou:
A Hybrid Approach to Chinese Abbreviation Expansion. ICCPOL 2006: 277-287 - [c12]Guodong Zhou, Min Zhang, Guohong Fu:
Building a Collocation Net. ICCPOL 2006: 532-541 - [c11]Guohong Fu, Min Zhang, Guodong Zhou, Kang-Kwong Luke:
A Unified Framework for Text Analysis in Chinese TTS. ISCSLP (Selected Papers) 2006: 200-210 - [c10]Min Zhang, Jie Zhang, Jian Su:
Exploring Syntactic Features for Relation Extraction using a Convolution Tree Kernel. HLT-NAACL 2006 - 2005
- [c9]Guodong Zhou, Jian Su, Jie Zhang, Min Zhang:
Exploring Various Knowledge in Relation Extraction. ACL 2005: 427-434 - [c8]Min Zhang, Jian Su, Danmei Wang, Guodong Zhou, Chew Lim Tan:
Discovering Relations Between Named Entities from a Large Raw Corpus Using Tree Similarity-Based Clustering. IJCNLP 2005: 378-389 - [c7]Hendra Setiawan, Haizhou Li, Min Zhang, Beng Chin Ooi:
Phrase-Based Statistical Machine Translation: A Level of Detail Approach. IJCNLP 2005: 576-587 - [c6]Min Zhang, Haizhou Li, Jian Su, Hendra Setiawan:
A Phrase-Based Context-Dependent Joint Probability Model for Named Entity Translation. IJCNLP 2005: 600-611 - [c5]Hendra Setiawan, Haizhou Li, Min Zhang:
Learning Phrase Translation using Level of Detail Approach. MTSummit 2005: 243-250 - 2004
- [c4]Haizhou Li, Min Zhang, Jian Su:
A Joint Source-Channel Model for Machine Transliteration. ACL 2004: 159-166 - [c3]Min Zhang, Haizhou Li, Jian Su:
Direct Orthographical Mapping for Machine Transliteration. COLING 2004 - 2002
- [c2]Min Zhang, Cuntai Guan, Haizhou Li:
Equivalent node-based speech grammar optimization. ISCSLP 2002 - 2000
- [c1]Min Zhang, Engsiong Chng, Haizhou Li:
Semi-class-based N-gram Language Modeling for Chinese Dictation. ISCSLP 2000
Coauthor Index
AiTi Aw
aka: Ai Ti Aw
aka: Ai Ti Aw
[j99] [c424] [c422] [c421] [i252] [i251] [i244] [i242] [i241] [i240] [i239] [i238] [i236] [i235] [i234] [c416] [c415] [c403] [c395] [c394] [c392] [c390] [c377] [c371] [c368] [i228] [i227] [i207] [i200] [i199] [i198] [i193] [i191] [i177] [i175] [i174] [i173] [i168] [i167] [i156] [i155] [i143] [i142] [i141] [i140] [i139] [i137] [c304] [c296] [c295] [i84] [j70] [j65] [c258] [c232] [j52] [j43] [c178]
[c382] [i208] [c312] [c297] [c285] [i95] [i85] [c252] [c231] [i62] [c202] [i39] [i36] [j53] [c200] [c193] [c187] [i27] [j40] [c160] [i19] [i17] [i11] [j33] [c153] [c152] [c146] [c139] [i9] [i7] [j26] [j21] [j20] [c129] [c125] [c118] [j17] [c115] [c106] [c105] [j14] [j13] [c103] [c99] [c98] [c97] [j12] [c93] [c91] [c89] [j11] [c86] [c71] [c69]
[c426] [i258] [i255] [i245] [i243] [i237] [j85] [c417] [c410] [c409] [c405] [c384] [c381] [c375] [c373] [c372] [c353] [c345] [c344] [c337] [c336] [i225] [i224] [i223] [i220] [i218] [i215] [i209] [i206] [i192] [i178] [i159] [i158] [i157] [i144] [i133] [j83] [c314] [c310] [c308] [c294] [c292] [c279] [c272] [c269] [i124] [i123] [i121] [i114] [i105] [i100] [i91] [i90] [i86] [i83] [i82] [i80] [i79] [c228] [c226] [i65] [i64] [i47]
[c150] [c149] [e12] [c128] [c127] [e9] [c114] [c113] [e8] [j11] [c86] [c84] [c83] [c82] [e4] [j10] [c74] [c73] [c72] [c71] [c69] [c67] [c66] [e3] [j9] [c65] [c63] [c62] [c61] [c60] [c59] [c57] [c55] [c54] [c53] [c52] [c51] [c50] [c49] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c36] [e1] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [c25] [c24] [c7] [c6] [c5] [c4] [c3] [c2] [c1]
[j98] [c423] [i247] [i244] [i241] [i238] [j94] [j89] [c411] [c396] [c394] [c393] [c389] [c386] [c382] [c379] [c374] [c371] [c369] [c356] [c343] [c335] [i221] [i208] [i207] [i204] [i196] [i193] [i190] [i189] [i176] [i173] [i153] [i152] [i151] [j84] [j77] [c333] [c331] [c330] [c327] [c320] [c313] [c312] [c307] [c304] [c300] [c298] [c293] [c277] [c267] [i131] [i130] [i125] [i122] [i99] [i96] [i95] [i92] [j67] [c252] [c241] [c235] [c230] [i72] [i70] [i62] [i55] [j54] [c203] [i45] [i40] [i35]
[i246] [c414] [c413] [c380] [c364] [i162] [i138] [c316] [c301] [c268] [i115] [i109] [i89] [i81] [j66] [c257] [c251] [c244] [c225] [c223] [i73] [i68] [i66] [i63] [i59] [i56] [j62] [c214] [c212] [c211] [c208] [c207] [c204] [i46] [i43] [i38] [i37] [j53] [c196] [c195] [c192] [c191] [c189] [c184] [c183] [c182] [i32] [i31] [j40] [j39] [c180] [c179] [c175] [c171] [c163] [c161] [c158] [c156] [c155] [i24] [i22] [i20] [i13] [c152] [c151] [c146] [c139] [i9] [j21] [c133] [c130] [c129] [c125] [c122] [c119] [c118] [c117] [i3] [i2] [c115] [c106] [c105] [j14] [c103] [c99] [c98] [c79] [c69]
[c425] [c420] [i249] [i233] [j86] [c409] [c407] [c403] [c402] [c400] [c399] [c391] [c385] [c367] [c366] [c365] [c363] [c346] [c344] [c340] [i230] [i226] [i220] [i218] [i213] [i210] [i197] [i170] [i165] [i163] [i160] [i150] [i148] [i136] [i135] [c334] [c329] [c328] [c326] [c321] [c315] [c311] [c303] [c296] [c290] [i128] [i111] [i103] [i77] [c255] [c239] [c238] [c234] [i74] [i71] [i54] [i51] [i50] [i49]
[j100] [i254] [i250] [j96] [j93] [j92] [j90] [c401] [c397] [c391] [c388] [c383] [c376] [c357] [c349] [c348] [c342] [c341] [i229] [i216] [i202] [i195] [i188] [i187] [i186] [i182] [i180] [i179] [i164] [i154] [i147] [i134] [j76] [j75] [c334] [c322] [c319] [c318] [c317] [c299] [c296] [c271] [c270] [i126] [i119] [i118] [i117] [i116] [i103] [i102] [i101] [i93] [i87] [i78] [c260] [c256] [c246] [c245] [c236] [c222] [c221] [i69] [i67] [i60] [i58] [i57] [i50] [j62] [c211] [c180] [c161] [i22] [i20] [c153] [c152] [i9] [i7] [j21]
[i208] [i95] [j72] [j69] [j61] [c219] [c216] [c209] [c205] [j48] [j47] [c198] [c194] [c190] [c185] [i29] [c176] [c170] [c169] [c168] [c157] [i18] [i16] [i15] [c145] [c142] [c141] [c140] [c135] [i5] [c112] [c81] [c78] [c70] [e2] [j6] [j5] [j3] [j2] [j1] [c23] [c22] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c9] [c8]
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