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ORCIDHao Zhou 0012
Person information
- affiliation: ByteDance AI Lab, Beijing, China
- affiliation (former): Toutiao AI Lab, China
- affiliation (former): Nanjing University, National Key Laboratory for Novel Software Technology, China
Other persons with the same name
- Hao Zhou — disambiguation page
- Hao Zhou 0001
![[0000-0002-7545-6745]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-7545-6745")
— University of Science and Technology of China, School of Computer Science and Technology, Hefei, China - Hao Zhou 0002 — Wuhan University, School of Electronic Information, China (and 2 more)
- Hao Zhou 0003 — Zhejiang University, Department of Biomedical Engineering, China
- Hao Zhou 0004 — Harbin Institute of Technology, Research Institute of Intelligent Control and Systems, China
- Hao Zhou 0005 — Amazon, Seattle, WA, USA (and 2 more)
- Hao Zhou 0006 — Central South University, Business School, Changsha, China
- Hao Zhou 0007 — Huazhong University of Science and Technology, Institute of Geophysics, Wuhan, China (and 2 more)
- Hao Zhou 0008 — Fudan University, Department of Microelectronics, State Key Laboratory of ASIC and Systems, Shanghai, China
- Hao Zhou 0009 — University of New South Wales, Sydney, Australia
- Hao Zhou 0010 — University of Hong Kong, Pokfulam, Hong Kong
- Hao Zhou 0011 — University of Maryland, Center for Automation Research, College Park, MD, USA
- Hao Zhou 0013 — University of Ottawa, School of Electrical Engineering and Computer Science, Canada
- Hao Zhou 0014 — Harbin Engineering University, National Key Laboratory of Science and Technology of Underwater Vehicle, Harbin, China (and 1 more)
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2020 – today
- 2024
[j7]Jiahuan Li, Hao Zhou, Shujian Huang, Shanbo Cheng, Jiajun Chen:
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions. Trans. Assoc. Comput. Linguistics 12: 576-592 (2024)- [j6]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Decentralized Decoupled Training for Federated Long-Tailed Learning. Trans. Mach. Learn. Res. 2024 (2024) - [c98]Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang:
Revisiting the Markov Property for Machine Translation. EACL (Findings) 2024: 582-588 - [c97]Yuxuan Song, Jingjing Gong, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma:
Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks. ICLR 2024 - [c96]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Watermarking for Injecting Multi-Bits Information to LLMs. ICLR 2024 - [c95]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. ICLR 2024 - [c94]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. ICML 2024 - [c93]Junwei Yang, Kangjie Zheng, Siyu Long, Zaiqing Nie, Ming Zhang, Xinyu Dai, Wei-Ying Ma, Hao Zhou:
Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective. ICML 2024 - [c92]Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou:
ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling. ICML 2024 - [c91]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
On Prompt-Driven Safeguarding for Large Language Models. ICML 2024 - [c90]Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie:
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge. KDD 2024: 2082-2093 - [i94]Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng:
Prompt-Driven LLM Safeguarding via Directed Representation Optimization. CoRR abs/2401.18018 (2024) - [i93]Cunxiao Du, Hao Zhou, Zhaopeng Tu, Jing Jiang:
Revisiting the Markov Property for Machine Translation. CoRR abs/2402.02084 (2024) - [i92]Yuwei Yang, Siqi Ouyang, Xueyu Hu, Mingyue Zheng, Hao Zhou, Lei Li:
Structure-Based Drug Design via 3D Molecular Generative Pre-training and Sampling. CoRR abs/2402.14315 (2024) - [i91]Yushuai Wu, Ting Zhang, Hao Zhou, Hainan Wu, Hanwen Sunchu, Lei Hu, Xiaofang Chen, Suyuan Zhao, Gaochao Liu, Chao Sun, Jiahuan Zhang, Yizhen Luo, Peng Liu, Zaiqing Nie:
DeepCRE: Transforming Drug R&D via AI-Driven Cross-drug Response Evaluation. CoRR abs/2403.03768 (2024) - [i90]Kangjie Zheng, Siyu Long, Tianyu Lu, Junwei Yang, Xinyu Dai, Ming Zhang, Zaiqing Nie, Wei-Ying Ma, Hao Zhou:
Multi-Scale Protein Language Model for Unified Molecular Modeling. CoRR abs/2403.12995 (2024) - [i89]Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma:
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks. CoRR abs/2403.15441 (2024) - [i88]Yaohui Li, Qifeng Zhou, Haoxing Chen, Jianbing Zhang, Xinyu Dai, Hao Zhou:
The Devil is in the Few Shots: Iterative Visual Knowledge Completion for Few-shot Learning. CoRR abs/2404.09778 (2024) - [i87]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR abs/2404.12141 (2024) - [i86]Yizhen Luo, Kai Yang, Massimo Hong, Xing Yi Liu, Zikun Nie, Hao Zhou, Zaiqing Nie:
Learning Multi-view Molecular Representations with Structured and Unstructured Knowledge. CoRR abs/2406.09841 (2024) - [i85]Hao Zhou, Zhijun Wang, Shujian Huang, Xin Huang, Xue Han, Junlan Feng, Chao Deng, Weihua Luo, Jiajun Chen:
MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors Routing. CoRR abs/2408.11396 (2024) - 2023
- [c89]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. ACL (Findings) 2023: 2495-2517 - [c88]Zaixiang Zheng, Yi Zhou, Hao Zhou:
Deep Equilibrium Non-Autoregressive Sequence Learning. ACL (Findings) 2023: 11763-11781 - [c87]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. EMNLP 2023: 9840-9855 - [c86]Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang:
Re³Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training. EMNLP 2023: 9878-9894 - [c85]Yuanxi Li, Hao Zhou, Jie Zhou, Minlie Huang:
Multi-Source Probing for Open-Domain Conversational Understanding. EMNLP 2023: 12491-12505 - [c84]Guangsheng Bao, Zhiyang Teng, Hao Zhou, Jianhao Yan, Yue Zhang:
Non-Autoregressive Document-Level Machine Translation. EMNLP (Findings) 2023: 14791-14803 - [c83]Danqing Wang, Fei Ye, Hao Zhou:
On Pre-training Language Model for Antibody. ICLR 2023 - [c82]Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan:
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. ICML 2023: 28277-28299 - [c81]Chenyang Huang, Fei Huang, Zaixiang Zheng, Osmar Zaïane, Hao Zhou, Lili Mou:
Multilingual Non-Autoregressive Machine Translation without Knowledge Distillation. IJCNLP (Findings) 2023: 161-170 - [c80]Danqing Wang, Zeyu Wen, Fei Ye, Lei Li, Hao Zhou:
Accelerating Antimicrobial Peptide Discovery with Latent Structure. KDD 2023: 2243-2255 - [c79]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense. NeurIPS 2023 - [c78]Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma:
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation. NeurIPS 2023 - [i84]Wenkai Yang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Integrating Local Real Data with Global Gradient Prototypes for Classifier Re-Balancing in Federated Long-Tailed Learning. CoRR abs/2301.10394 (2023) - [i83]Danqing Wang, Fei Ye, Hao Zhou:
On Pre-trained Language Models for Antibody. CoRR abs/2301.12112 (2023) - [i82]Yiqun Wang, Yuning Shen, Shi Chen, Lihao Wang, Fei Ye, Hao Zhou:
Learning Harmonic Molecular Representations on Riemannian Manifold. CoRR abs/2303.15520 (2023) - [i81]Yijun Wang, Changzhi Sun, Yuanbin Wu, Lei Li, Junchi Yan, Hao Zhou:
HIORE: Leveraging High-order Interactions for Unified Entity Relation Extraction. CoRR abs/2305.04297 (2023) - [i80]Zhiyuan Zhang, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Diffusion Theory as a Scalpel: Detecting and Purifying Poisonous Dimensions in Pre-trained Language Models Caused by Backdoor or Bias. CoRR abs/2305.04547 (2023) - [i79]Bo Qiang, Yuxuan Song, Minkai Xu, Jingjing Gong, Bowen Gao, Hao Zhou, Wei-Ying Ma, Yanyan Lan:
Coarse-to-Fine: a Hierarchical Diffusion Model for Molecule Generation in 3D. CoRR abs/2305.13266 (2023) - [i78]Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning. CoRR abs/2305.14160 (2023) - [i77]Jiahuan Li, Hao Zhou, Shujian Huang, Shanbo Chen, Jiajun Chen:
Eliciting the Translation Ability of Large Language Models via Multilingual Finetuning with Translation Instructions. CoRR abs/2305.15083 (2023) - [i76]Lean Wang, Wenkai Yang, Deli Chen, Hao Zhou, Yankai Lin, Fandong Meng, Jie Zhou, Xu Sun:
Towards Codable Text Watermarking for Large Language Models. CoRR abs/2307.15992 (2023) - [i75]Chujie Zheng, Hao Zhou, Fandong Meng, Jie Zhou, Minlie Huang:
Large Language Models Are Not Robust Multiple Choice Selectors. CoRR abs/2309.03882 (2023) - [i74]Yi Liu, Lianzhe Huang, Shicheng Li, Sishuo Chen, Hao Zhou, Fandong Meng, Jie Zhou, Xu Sun:
RECALL: A Benchmark for LLMs Robustness against External Counterfactual Knowledge. CoRR abs/2311.08147 (2023) - [i73]Yuxuan Song, Jingjing Gong, Minkai Xu, Ziyao Cao, Yanyan Lan, Stefano Ermon, Hao Zhou, Wei-Ying Ma:
Equivariant Flow Matching with Hybrid Probability Transport. CoRR abs/2312.07168 (2023) - 2022
- [c77]Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li:
Unsupervised Editing for Counterfactual Stories. AAAI 2022: 10473-10481 - [c76]Jiangjie Chen, Qiaoben Bao, Changzhi Sun, Xinbo Zhang, Jiaze Chen, Hao Zhou, Yanghua Xiao, Lei Li:
LOREN: Logic-Regularized Reasoning for Interpretable Fact Verification. AAAI 2022: 10482-10491 - [c75]Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-autoregressive Translation with Layer-Wise Prediction and Deep Supervision. AAAI 2022: 10776-10784 - [c74]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. ACL (1) 2022: 2306-2319 - [c73]Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li:
Contextual Representation Learning beyond Masked Language Modeling. ACL (1) 2022: 2701-2714 - [c72]Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li:
Rethinking Document-level Neural Machine Translation. ACL (Findings) 2022: 3537-3548 - [c71]Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. ACL (Findings) 2022: 3906-3923 - [c70]Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou:
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning. ACL (Findings) 2022: 3941-3955 - [c69]Yu Bao, Hao Zhou, Shujian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei Li:
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation. ACL (1) 2022: 8398-8409 - [c68]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. EMNLP 2022: 2886-2897 - [c67]Zhenqiao Song, Hao Zhou, Lihua Qian, Jingjing Xu, Shanbo Cheng, Mingxuan Wang, Lei Li:
switch-GLAT: Multilingual Parallel Machine Translation Via Code-Switch Decoder. ICLR 2022 - [c66]Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li:
Enhancing Cross-lingual Transfer by Manifold Mixup. ICLR 2022 - [c65]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. ICML 2022: 9356-9376 - [c64]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. ICML 2022: 9410-9428 - [c63]Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li:
MTG: A Benchmark Suite for Multilingual Text Generation. NAACL-HLT (Findings) 2022: 2508-2527 - [c62]Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou:
Zero-Shot 3D Drug Design by Sketching and Generating. NeurIPS 2022 - [c61]Lihao Wang, Yi Zhou, Yiqun Wang, Xiaoqing Zheng, Xuanjing Huang, Hao Zhou:
Regularized Molecular Conformation Fields. NeurIPS 2022 - [i72]Jiangjie Chen, Rui Xu, Ziquan Fu, Wei Shi, Zhongqiao Li, Xinbo Zhang, Changzhi Sun, Lei Li, Yanghua Xiao, Hao Zhou:
E-KAR: A Benchmark for Rationalizing Natural Language Analogical Reasoning. CoRR abs/2203.08480 (2022) - [i71]Pei Ke, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Xiaoyan Zhu, Minlie Huang:
CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation. CoRR abs/2204.00862 (2022) - [i70]Yu Bao, Hao Zhou, Shujian Huang, Dongqi Wang, Lihua Qian, Xinyu Dai, Jiajun Chen, Lei Li:
latent-GLAT: Glancing at Latent Variables for Parallel Text Generation. CoRR abs/2204.02030 (2022) - [i69]Zhiyi Fu, Wangchunshu Zhou, Jingjing Xu, Hao Zhou, Lei Li:
Contextual Representation Learning beyond Masked Language Modeling. CoRR abs/2204.04163 (2022) - [i68]Huiyun Yang, Huadong Chen, Hao Zhou, Lei Li:
Enhancing Cross-lingual Transfer by Manifold Mixup. CoRR abs/2205.04182 (2022) - [i67]Fei Huang, Hao Zhou, Yang Liu, Hang Li, Minlie Huang:
Directed Acyclic Transformer for Non-Autoregressive Machine Translation. CoRR abs/2205.07459 (2022) - [i66]Fei Huang, Tianhua Tao, Hao Zhou, Lei Li, Minlie Huang:
On the Learning of Non-Autoregressive Transformers. CoRR abs/2206.05975 (2022) - [i65]Ryuichi Takanobu, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Minlie Huang:
Manual-Guided Dialogue for Flexible Conversational Agents. CoRR abs/2208.07597 (2022) - [i64]Siyu Long, Yi Zhou, Xinyu Dai, Hao Zhou:
Zero-Shot 3D Drug Design by Sketching and Generating. CoRR abs/2209.13865 (2022) - [i63]Jiangtao Feng, Yi Zhou, Jun Zhang, Xian Qian, Liwei Wu, Zhexi Zhang, Yanming Liu, Mingxuan Wang, Lei Li, Hao Zhou:
PARAGEN : A Parallel Generation Toolkit. CoRR abs/2210.03405 (2022) - [i62]Hao Zhou, Man Lan, Yuanbin Wu, Yuefeng Chen, Meirong Ma:
Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition. CoRR abs/2210.07032 (2022) - [i61]Lan Jiang, Hao Zhou, Yankai Lin, Peng Li, Jie Zhou, Rui Jiang:
ROSE: Robust Selective Fine-tuning for Pre-trained Language Models. CoRR abs/2210.09658 (2022) - [i60]Danqing Wang, Zeyu Wen, Fei Ye, Hao Zhou, Lei Li:
Accelerating Antimicrobial Peptide Discovery with Latent Sequence-Structure Model. CoRR abs/2212.09450 (2022) - 2021
- [j5]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A large-scale generative Chinese Pre-trained language model. AI Open 2: 93-99 (2021) - [j4]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. Neurocomputing 465: 310-324 (2021) - [c60]Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. AAAI 2021: 7857-7864 - [c59]Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
Consecutive Decoding for Speech-to-text Translation. AAAI 2021: 12738-12748 - [c58]Qianqian Dong, Rong Ye, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
Listen, Understand and Translate: Triple Supervision Decouples End-to-end Speech-to-text Translation. AAAI 2021: 12749-12759 - [c57]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. ACL/IJCNLP (1) 2021: 220-231 - [c56]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. ACL/IJCNLP (1) 2021: 1993-2003 - [c55]Danqing Wang, Jiaze Chen, Hao Zhou, Xipeng Qiu, Lei Li:
Contrastive Aligned Joint Learning for Multilingual Summarization. ACL/IJCNLP (Findings) 2021: 2739-2750 - [c54]Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li:
Probabilistic Graph Reasoning for Natural Proof Generation. ACL/IJCNLP (Findings) 2021: 3140-3151 - [c53]Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li:
Vocabulary Learning via Optimal Transport for Neural Machine Translation. ACL/IJCNLP (1) 2021: 7361-7373 - [c52]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction. EACL 2021: 2877-2887 - [c51]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-Level Relation Extraction. EMNLP (1) 2021: 1239-1250 - [c50]Hao Zhou, Minlie Huang, Yong Liu, Wei Chen, Xiaoyan Zhu:
EARL: Informative Knowledge-Grounded Conversation Generation with Entity-Agnostic Representation Learning. EMNLP (1) 2021: 2383-2395 - [c49]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. ICLR 2021 - [c48]Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li:
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. NeurIPS 2021: 21070-21084 - [c47]Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li:
CNewSum: A Large-Scale Summarization Dataset with Human-Annotated Adequacy and Deducibility Level. NLPCC (1) 2021: 389-400 - [c46]Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li:
Follow Your Path: A Progressive Method for Knowledge Distillation. ECML/PKDD (3) 2021: 596-611 - [c45]Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. WMT@EMNLP 2021: 187-196 - [c44]Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li:
Triangular Bidword Generation for Sponsored Search Auction. WSDM 2021: 707-715 - [i59]Zhenqiao Song, Jiaze Chen, Hao Zhou, Lei Li:
Triangular Bidword Generation for Sponsored Search Auction. CoRR abs/2101.11349 (2021) - [i58]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR abs/2103.10432 (2021) - [i57]Zaixiang Zheng, Hao Zhou, Shujian Huang, Jiajun Chen, Jingjing Xu, Lei Li:
Duplex Sequence-to-Sequence Learning for Reversible Machine Translation. CoRR abs/2105.03458 (2021) - [i56]Changzhi Sun, Xinbo Zhang, Jiangjie Chen, Chun Gan, Yuanbin Wu, Jiaze Chen, Hao Zhou, Lei Li:
Probabilistic Graph Reasoning for Natural Proof Generation. CoRR abs/2107.02418 (2021) - [i55]Yijun Wang, Changzhi Sun, Yuanbin Wu, Hao Zhou, Lei Li, Junchi Yan:
UniRE: A Unified Label Space for Entity Relation Extraction. CoRR abs/2107.04292 (2021) - [i54]Wenxian Shi, Yuxuan Song, Hao Zhou, Bohan Li, Lei Li:
Follow Your Path: a Progressive Method for Knowledge Distillation. CoRR abs/2107.09305 (2021) - [i53]Hao Zhou, Pei Ke, Zheng Zhang, Yuxian Gu, Yinhe Zheng, Chujie Zheng, Yida Wang, Chen Henry Wu, Hao Sun, Xiaocong Yang, Bosi Wen, Xiaoyan Zhu, Minlie Huang, Jie Tang:
EVA: An Open-Domain Chinese Dialogue System with Large-Scale Generative Pre-Training. CoRR abs/2108.01547 (2021) - [i52]Yiran Chen, Zhenqiao Song, Xianze Wu, Danqing Wang, Jingjing Xu, Jiaze Chen, Hao Zhou, Lei Li:
MTG: A Benchmarking Suite for Multilingual Text Generation. CoRR abs/2108.07140 (2021) - [i51]Lihua Qian, Yi Zhou, Zaixiang Zheng, Yaoming Zhu, Zehui Lin, Jiangtao Feng, Shanbo Cheng, Lei Li, Mingxuan Wang, Hao Zhou:
The Volctrans GLAT System: Non-autoregressive Translation Meets WMT21. CoRR abs/2109.11247 (2021) - [i50]Xianggen Liu, Pengyong Li, Fandong Meng, Hao Zhou, Huasong Zhong, Jie Zhou, Lili Mou, Sen Song:
Simulated annealing for optimization of graphs and sequences. CoRR abs/2110.01384 (2021) - [i49]Chenyang Huang, Hao Zhou, Osmar R. Zaïane, Lili Mou, Lei Li:
Non-Autoregressive Translation with Layer-Wise Prediction and Deep Supervision. CoRR abs/2110.07515 (2021) - [i48]Hao Sun, Guangxuan Xu, Jiawen Deng, Jiale Cheng, Chujie Zheng, Hao Zhou, Nanyun Peng, Xiaoyan Zhu, Minlie Huang:
On the Safety of Conversational Models: Taxonomy, Dataset, and Benchmark. CoRR abs/2110.08466 (2021) - [i47]Danqing Wang, Jiaze Chen, Xianze Wu, Hao Zhou, Lei Li:
CNewSum: A Large-scale Chinese News Summarization Dataset with Human-annotated Adequacy and Deducibility Level. CoRR abs/2110.10874 (2021) - [i46]Jingjing Xu, Wangchunshu Zhou, Zhiyi Fu, Hao Zhou, Lei Li:
A Survey on Green Deep Learning. CoRR abs/2111.05193 (2021) - [i45]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-level Relation Extraction. CoRR abs/2111.05407 (2021) - [i44]Jiangjie Chen, Chun Gan, Sijie Cheng, Hao Zhou, Yanghua Xiao, Lei Li:
Unsupervised Editing for Counterfactual Stories. CoRR abs/2112.05417 (2021) - 2020
- [c43]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI 2020: 5834-5841 - [c42]Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu:
Importance-Aware Learning for Neural Headline Editing. AAAI 2020: 9282-9289 - [c41]Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. AAAI 2020: 9378-9385 - [c40]Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. ACL (demo) 2020: 1-8 - [c39]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. ACL 2020: 302-312 - [c38]Ning Miao, Yuxuan Song, Hao Zhou, Lei Li:
Do you have the right scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. ACL 2020: 3436-3441 - [c37]Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu:
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. ACL 2020: 7098-7108 - [c36]Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. AISTATS 2020: 122-132 - [c35]Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li:
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. EMNLP (1) 2020: 2649-2663 - [c34]Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. EMNLP (Findings) 2020: 4908-4917 - [c33]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. EMNLP (1) 2020: 9119-9130 - [c32]Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei Li:
Variational Template Machine for Data-to-Text Generation. ICLR 2020 - [c31]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lei Li, Xin-Yu Dai, Jiajun Chen:
Mirror-Generative Neural Machine Translation. ICLR 2020 - [c30]Wenxian Shi, Hao Zhou, Ning Miao, Lei Li:
Dispersed Exponential Family Mixture VAEs for Interpretable Text Generation. ICML 2020: 8840-8851 - [c29]Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
QuAChIE: Question Answering based Chinese Information Extraction System. SIGIR 2020: 2177-2180 - [c28]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. WMT@EMNLP 2020: 239-247 - [i43]Rong Ye, Wenxian Shi, Hao Zhou, Zhongyu Wei, Lei Li:
Variational Template Machine for Data-to-Text Generation. CoRR abs/2002.01127 (2020) - [i42]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. CoRR abs/2004.01454 (2020) - [i41]Hao Zhou, Chujie Zheng, Kaili Huang, Minlie Huang, Xiaoyan Zhu:
KdConv: A Chinese Multi-domain Dialogue Dataset Towards Multi-turn Knowledge-driven Conversation. CoRR abs/2004.04100 (2020) - [i40]Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. CoRR abs/2004.08046 (2020) - [i39]Xunpeng Huang, Hao Zhou, Runxin Xu, Zhe Wang, Lei Li:
Adaptive Gradient Methods Can Be Provably Faster than SGD after Finite Epochs. CoRR abs/2006.07037 (2020) - [i38]Xunpeng Huang, Runxin Xu, Hao Zhou, Zhe Wang, Zhengyang Liu, Lei Li:
ACMo: Angle-Calibrated Moment Methods for Stochastic Optimization. CoRR abs/2006.07065 (2020) - [i37]Yuxuan Song, Ning Miao, Hao Zhou, Lantao Yu, Mingxuan Wang, Lei Li:
Improving Maximum Likelihood Training for Text Generation with Density Ratio Estimation. CoRR abs/2007.06018 (2020) - [i36]Ning Miao, Yuxuan Song, Hao Zhou, Lei Li:
Do You Have the Right Scissors? Tailoring Pre-trained Language Models via Monte-Carlo Methods. CoRR abs/2007.06162 (2020) - [i35]Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li:
Generating Fluent Adversarial Examples for Natural Languages. CoRR abs/2007.06174 (2020) - [i34]Runxin Xu, Jun Cao, Mingxuan Wang, Jiaze Chen, Hao Zhou, Ying Zeng, Yuping Wang, Li Chen, Xiang Yin, Xijin Zhang, Songcheng Jiang, Yuxuan Wang, Lei Li:
Xiaomingbot: A Multilingual Robot News Reporter. CoRR abs/2007.08005 (2020) - [i33]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. CoRR abs/2008.07905 (2020) - [i32]Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
TED: Triple Supervision Decouples End-to-end Speech-to-text Translation. CoRR abs/2009.09704 (2020) - [i31]Qianqian Dong, Mingxuan Wang, Hao Zhou, Shuang Xu, Bo Xu, Lei Li:
SDST: Successive Decoding for Speech-to-text Translation. CoRR abs/2009.09737 (2020) - [i30]Fandong Meng, Jianhao Yan, Yijin Liu, Yuan Gao, Xianfeng Zeng, Qinsong Zeng, Peng Li, Ming Chen, Jie Zhou, Sifan Liu, Hao Zhou:
WeChat Neural Machine Translation Systems for WMT20. CoRR abs/2010.00247 (2020) - [i29]Zehui Lin, Xiao Pan, Mingxuan Wang, Xipeng Qiu, Jiangtao Feng, Hao Zhou, Lei Li:
Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information. CoRR abs/2010.03142 (2020) - [i28]Zewei Sun, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Shujian Huang, Jiajun Chen, Lei Li:
Capturing Longer Context for Document-level Neural Machine Translation: A Multi-resolutional Approach. CoRR abs/2010.08961 (2020) - [i27]Bohan Li, Hao Zhou, Junxian He, Mingxuan Wang, Yiming Yang, Lei Li:
On the Sentence Embeddings from Pre-trained Language Models. CoRR abs/2011.05864 (2020) - [i26]Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, YuSheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun:
CPM: A Large-scale Generative Chinese Pre-trained Language Model. CoRR abs/2012.00413 (2020) - [i25]Minkai Xu, Mingxuan Wang, Zhouhan Lin, Hao Zhou, Weinan Zhang, Lei Li:
Reciprocal Supervised Learning Improves Neural Machine Translation. CoRR abs/2012.02975 (2020) - [i24]Jiangjie Chen, Qiaoben Bao, Jiaze Chen, Changzhi Sun, Hao Zhou, Yanghua Xiao, Lei Li:
LOREN: Logic Enhanced Neural Reasoning for Fact Verification. CoRR abs/2012.13577 (2020) - [i23]Jingjing Xu, Hao Zhou, Chun Gan, Zaixiang Zheng, Lei Li:
VOLT: Improving Vocabularization via Optimal Transport for Machine Translation. CoRR abs/2012.15671 (2020)
2010 – 2019
- 2019
- [c27]Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. AAAI 2019: 6834-6842 - [c26]Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. ACL (1) 2019: 1304-1312 - [c25]Huangzhao Zhang, Hao Zhou, Ning Miao, Lei Li:
Generating Fluent Adversarial Examples for Natural Languages. ACL (1) 2019: 5564-5569 - [c24]Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen:
Generating Sentences from Disentangled Syntactic and Semantic Spaces. ACL (1) 2019: 6008-6019 - [c23]Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. ACL (1) 2019: 6140-6150 - [c22]Lili Mou, Hao Zhou, Lei Li:
Discreteness in Neural Natural Language Processing. EMNLP/IJCNLP (2) 2019 - [c21]Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin:
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? a Comparison between Dialog and Translation. ICASSP 2019: 7290-7294 - [c20]Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. IJCAI 2019: 5255-5263 - [c19]Zhaoyue Sun, Jiaze Chen, Hao Zhou, Deyu Zhou, Lei Li, Mingmin Jiang:
GraspSnooker: Automatic Chinese Commentary Generation for Snooker Videos. IJCAI 2019: 6569-6571 - [c18]Yao Fu, Hao Zhou, Jiaze Chen, Lei Li:
Rethinking Text Attribute Transfer: A Lexical Analysis. INLG 2019: 24-33 - [c17]Hareesh Bahuleyan, Lili Mou, Hao Zhou, Olga Vechtomova:
Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation. NAACL-HLT (1) 2019: 4068-4076 - [c16]Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. NeurIPS 2019: 12487-12497 - [c15]Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu:
Domain-Constrained Advertising Keyword Generation. WWW 2019: 2448-2459 - [i22]Hao Zhou, Minlie Huang, Yishun Mao, Changlei Zhu, Peng Shu, Xiaoyan Zhu:
Domain-Constrained Advertising Keyword Generation. CoRR abs/1902.10374 (2019) - [i21]Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. CoRR abs/1905.06933 (2019) - [i20]Bingzhen Wei, Mingxuan Wang, Hao Zhou, Junyang Lin, Xu Sun:
Imitation Learning for Non-Autoregressive Neural Machine Translation. CoRR abs/1906.02041 (2019) - [i19]Wenxian Shi, Hao Zhou, Ning Miao, Shenjian Zhao, Lei Li:
Fixing Gaussian Mixture VAEs for Interpretable Text Generation. CoRR abs/1906.06719 (2019) - [i18]Rongxiang Weng, Hao Zhou, Shujian Huang, Lei Li, Yifan Xia, Jiajun Chen:
Correct-and-Memorize: Learning to Translate from Interactive Revisions. CoRR abs/1907.03468 (2019) - [i17]Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xinyu Dai, Jiajun Chen:
Generating Sentences from Disentangled Syntactic and Semantic Spaces. CoRR abs/1907.05789 (2019) - [i16]Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Yong Yu, Weinan Zhang, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. CoRR abs/1908.05672 (2019) - [i15]Xianggen Liu, Lili Mou, Fandong Meng, Hao Zhou, Jie Zhou, Sen Song:
Unsupervised Paraphrasing by Simulated Annealing. CoRR abs/1909.03588 (2019) - [i14]Yao Fu, Hao Zhou, Jiaze Chen, Lei Li:
Rethinking Text Attribute Transfer: A Lexical Analysis. CoRR abs/1909.12335 (2019) - [i13]Ning Miao, Hao Zhou, Chengqi Zhao, Wenxian Shi, Lei Li:
Kernelized Bayesian Softmax for Text Generation. CoRR abs/1911.00274 (2019) - [i12]Yu Bao, Hao Zhou, Jiangtao Feng, Mingxuan Wang, Shujian Huang, Jiajun Chen, Lei Li:
Non-autoregressive Transformer by Position Learning. CoRR abs/1911.10677 (2019) - [i11]Qingyang Wu, Lei Li, Hao Zhou, Ying Zeng, Zhou Yu:
Importance-Aware Learning for Neural Headline Editing. CoRR abs/1912.01114 (2019) - 2018
- [j3]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. Trans. Assoc. Comput. Linguistics 6: 145-157 (2018) - [c14]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. AAAI 2018: 730-739 - [c13]Haoyue Shi, Hao Zhou, Jiaze Chen, Lei Li:
On Tree-Based Neural Sentence Modeling. EMNLP 2018: 4631-4641 - [c12]Hao Zhou, Tom Young, Minlie Huang, Haizhou Zhao, Jingfang Xu, Xiaoyan Zhu:
Commonsense Knowledge Aware Conversation Generation with Graph Attention. IJCAI 2018: 4623-4629 - [c11]Zi-Yi Dou, Hao Zhou, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Dynamic Oracle for Neural Machine Translation in Decoding Phase. LREC 2018 - [c10]Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li:
BRITS: Bidirectional Recurrent Imputation for Time Series. NeurIPS 2018: 6776-6786 - [c9]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering Based Framework for Information Extraction. ISWC (1) 2018: 198-216 - [i10]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering based Framework for Information Extraction. CoRR abs/1804.03396 (2018) - [i9]Wei Cao, Dong Wang, Jian Li, Hao Zhou, Lei Li, Yitan Li:
BRITS: Bidirectional Recurrent Imputation for Time Series. CoRR abs/1805.10572 (2018) - [i8]Hareesh Bahuleyan, Lili Mou, Kartik Vamaraju, Hao Zhou, Olga Vechtomova:
Probabilistic Natural Language Generation with Wasserstein Autoencoders. CoRR abs/1806.08462 (2018) - [i7]Haoyue Shi, Hao Zhou, Jiaze Chen, Lei Li:
On Tree-Based Neural Sentence Modeling. CoRR abs/1808.09644 (2018) - [i6]Ning Miao, Hao Zhou, Lili Mou, Rui Yan, Lei Li:
CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling. CoRR abs/1811.10996 (2018) - 2017
- [j2]Hao Zhou, Yue Zhang, Chuan Cheng, Shujian Huang, Xinyu Dai, Jiajun Chen:
A Neural Probabilistic Structured-Prediction Method for Transition-Based Natural Language Processing. J. Artif. Intell. Res. 58: 703-729 (2017) - [c8]Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. ACL (2) 2017: 580-586 - [c7]Hao Zhou, Zhenting Yu, Yue Zhang, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Word-Context Character Embeddings for Chinese Word Segmentation. EMNLP 2017: 760-766 - [c6]Haizhou Zhao, Yi Du, Hang Li, Qiao Qian, Hao Zhou, Minlie Huang, Jingfang Xu:
SG01 at the NTCIR-13 STC-2 Task. NTCIR 2017 - [i5]Hao Zhou, Minlie Huang, Tianyang Zhang, Xiaoyan Zhu, Bing Liu:
Emotional Chatting Machine: Emotional Conversation Generation with Internal and External Memory. CoRR abs/1704.01074 (2017) - [i4]Hao Zhou, Zhaopeng Tu, Shujian Huang, Xiaohua Liu, Hang Li, Jiajun Chen:
Chunk-Based Bi-Scale Decoder for Neural Machine Translation. CoRR abs/1705.01452 (2017) - [i3]Zi-Yi Dou, Hao Zhou, Shujian Huang, Xin-Yu Dai, Jiajun Chen:
Dynamic Oracle for Neural Machine Translation in Decoding Phase. CoRR abs/1709.06265 (2017) - [i2]Zaixiang Zheng, Hao Zhou, Shujian Huang, Lili Mou, Xinyu Dai, Jiajun Chen, Zhaopeng Tu:
Modeling Past and Future for Neural Machine Translation. CoRR abs/1711.09502 (2017) - [i1]Bolin Wei, Shuai Lu, Lili Mou, Hao Zhou, Pascal Poupart, Ge Li, Zhi Jin:
Why Do Neural Dialog Systems Generate Short and Meaningless Replies? A Comparison between Dialog and Translation. CoRR abs/1712.02250 (2017) - 2016
- [j1]Hao Zhou, Shujian Huang, Junsheng Zhou, Yue Zhang, Huadong Chen, Xinyu Dai, Chuan Cheng, Jiajun Chen:
Enhancing Shift-Reduce Constituent Parsing with Action N-Gram Model. ACM Trans. Asian Low Resour. Lang. Inf. Process. 15(3): 13:1-13:17 (2016) - [c5]Hao Zhou, Yue Zhang, Shujian Huang, Junsheng Zhou, Xinyu Dai, Jiajun Chen:
A Search-Based Dynamic Reranking Model for Dependency Parsing. ACL (1) 2016 - [c4]Hao Zhou, Minlie Huang, Xiaoyan Zhu:
Context-aware Natural Language Generation for Spoken Dialogue Systems. COLING 2016: 2032-2041 - [c3]Hao Zhou, Yue Zhang, Shujian Huang, Xinyu Dai, Jiajun Chen:
Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing. LREC 2016 - 2015
- [c2]Hao Zhou, Yue Zhang, Shujian Huang, Jiajun Chen:
A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing. ACL (1) 2015: 1213-1222 - 2012
- [c1]Ning Xi, Bin Li, Guangchao Tang, Shujian Huang, Yinggong Zhao, Hao Zhou, Xinyu Dai, Jiajun Chen:
Adapting Conventional Chinese Word Segmenter for Segmenting Micro-blog Text: Combining Rule-based and Statistic-based Approaches. CIPS-SIGHAN 2012: 63-68
Coauthor Index
Xinyu Dai
aka: Xin-Yu Dai
aka: Xin-Yu Dai
[i92] [c80] [i81] [c77] [c76] [c75] [c73] [c72] [c70] [c69] [c67] [c66] [c65] [c63] [i72] [i70] [i69] [i68] [i66] [i63] [i60] [c60] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [c46] [c45] [c44] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i49] [i47] [i46] [i45] [i44] [c42] [c41] [c40] [c38] [c36] [c35] [c34] [c33] [c32] [c31] [c30] [c29] [i43] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [i29] [i28] [i27] [i25] [i24] [i23] [c27] [c25] [c24] [c23] [c22] [c20] [c19] [c18] [c16] [i21] [i19] [i18] [i17] [i16] [i14] [i13] [i12] [i11] [c13] [c10] [i9] [i7] [i6]
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