default search action
Wei Ye 0004
叶蔚
Person information
- unicode name: 叶蔚
- affiliation: Peking University, National Engineering Research Center for Software Engineering, Beijing, China
Other persons with the same name
- Wei Ye — disambiguation page
- Wei Ye 0001 — Tongji University, Department of Computer Science, Shanghai, China (and 3 more)
- Wei Ye 0002 — Braunschweig University of Technology, Germany
- Wei Ye 0003 — Broadcom Corporation (and 1 more)
- Wei Ye 0005 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore
- Wei Ye 0007 — Wuhan University, Wuhan, Hubei, China
- Wei Ye 0008 — University of Texas at Austin, ECE Department, Austin, TX, USA
- Wei Ye 0009 — University of Minnesota, Department of Computer Science and Engineering, Minneapolis, MN, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
- [j4]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Wei Ye, Haojun Huang, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. IEEE Data Eng. Bull. 47(1): 48-62 (2024) - [j3]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. Int. J. Comput. Vis. 132(1): 224-237 (2024) - [j2]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. ACM Trans. Intell. Syst. Technol. 15(3): 39:1-39:45 (2024) - [c76]Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang:
TiMix: Text-Aware Image Mixing for Effective Vision-Language Pre-training. AAAI 2024: 2489-2497 - [c75]Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang:
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks. AAAI 2024: 18453-18461 - [c74]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. ACL (1) 2024: 2810-2828 - [c73]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. ACL (1) 2024: 5967-5985 - [c72]Qi Guo, Leiyu Wang, Yidong Wang, Wei Ye, Shikun Zhang:
What Makes a Good Order of Examples in In-Context Learning. ACL (Findings) 2024: 14892-14904 - [c71]Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, Tao Ge, Shikun Zhang:
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction. ACL (Findings) 2024: 15468-15480 - [c70]Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Xiang Li, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CVPR Workshops 2024: 1551-1561 - [c69]Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang:
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model. CVPR 2024: 27026-27036 - [c68]Wenjin Yao, Yidong Wang, Zhuohao Yu, Rui Xie, Shikun Zhang, Wei Ye:
PURE: Aligning LLM via Pluggable Query Reformulation for Enhanced Helpfulness. EMNLP (Findings) 2024: 8721-8744 - [c67]Yidong Wang, Zhuohao Yu, Wenjin Yao, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. ICLR 2024 - [c66]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. ICLR 2024 - [c65]Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Eric Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiangyang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao:
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. ICML 2024 - [c64]Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. IJCAI 2024: 5653-5661 - [c63]Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang:
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. ISSTA 2024: 124-136 - [c62]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Yue Zhang, Neil Gong, Xing Xie:
PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. LAMPS@CCS 2024: 57-68 - [c61]Chaoya Jiang, Hongrui Jia, Mengfan Dong, Wei Ye, Haiyang Xu, Ming Yan, Ji Zhang, Shikun Zhang:
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models. ACM Multimedia 2024: 525-534 - [i53]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Wei Ye, Jindong Wang, Xing Xie, Yue Zhang, Shikun Zhang:
KIEval: A Knowledge-grounded Interactive Evaluation Framework for Large Language Models. CoRR abs/2402.15043 (2024) - [i52]Chaoya Jiang, Wei Ye, Mengfan Dong, Hongrui Jia, Haiyang Xu, Ming Yan, Ji Zhang, Shikun Zhang:
Hal-Eval: A Universal and Fine-grained Hallucination Evaluation Framework for Large Vision Language Models. CoRR abs/2402.15721 (2024) - [i51]Ye Wang, Xinrun Xu, Rui Xie, Wenxin Hu, Wei Ye:
Can Large Language Models Recall Reference Location Like Humans? CoRR abs/2402.17010 (2024) - [i50]Zeqian Ju, Yuancheng Wang, Kai Shen, Xu Tan, Detai Xin, Dongchao Yang, Yanqing Liu, Yichong Leng, Kaitao Song, Siliang Tang, Zhizheng Wu, Tao Qin, Xiang-Yang Li, Wei Ye, Shikun Zhang, Jiang Bian, Lei He, Jinyu Li, Sheng Zhao:
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models. CoRR abs/2403.03100 (2024) - [i49]Wei Ye, Chaoya Jiang, Haiyang Xu, Chenhao Ye, Chenliang Li, Ming Yan, Shikun Zhang, Songhang Huang, Fei Huang:
Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. CoRR abs/2403.07883 (2024) - [i48]Rui Xie, Zhengran Zeng, Zhuohao Yu, Chang Gao, Shikun Zhang, Wei Ye:
CodeShell Technical Report. CoRR abs/2403.15747 (2024) - [i47]Zhengran Zeng, Yidong Wang, Rui Xie, Wei Ye, Shikun Zhang:
CoderUJB: An Executable and Unified Java Benchmark for Practical Programming Scenarios. CoRR abs/2403.19287 (2024) - [i46]Zhuohao Yu, Chang Gao, Wenjin Yao, Yidong Wang, Zhengran Zeng, Wei Ye, Jindong Wang, Yue Zhang, Shikun Zhang:
FreeEval: A Modular Framework for Trustworthy and Efficient Evaluation of Large Language Models. CoRR abs/2404.06003 (2024) - [i45]Xiaoling Zhou, Wei Ye, Zhemg Lee, Rui Xie, Shikun Zhang:
Boosting Model Resilience via Implicit Adversarial Data Augmentation. CoRR abs/2404.16307 (2024) - [i44]Zile Qiao, Wei Ye, Yong Jiang, Tong Mo, Pengjun Xie, Weiping Li, Fei Huang, Shikun Zhang:
Supportiveness-based Knowledge Rewriting for Retrieval-augmented Language Modeling. CoRR abs/2406.08116 (2024) - [i43]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) - [i42]Xiaoling Zhou, Wei Ye, Yidong Wang, Chaoya Jiang, Zhemg Lee, Rui Xie, Shikun Zhang:
Enhancing In-Context Learning via Implicit Demonstration Augmentation. CoRR abs/2407.00100 (2024) - [i41]Dingyao Yu, Yang An, Wei Ye, Xiongfeng Xiao, Shaoguang Mao, Tao Ge, Shikun Zhang:
Refining Corpora from a Model Calibration Perspective for Chinese Spelling Correction. CoRR abs/2407.15498 (2024) - [i40]Xuanwang Zhang, Yunze Song, Yidong Wang, Shuyun Tang, Xinfeng Li, Zhengran Zeng, Zhen Wu, Wei Ye, Wenyuan Xu, Yue Zhang, Xinyu Dai, Shikun Zhang, Qingsong Wen:
RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation. CoRR abs/2408.11381 (2024) - [i39]Chaoya Jiang, Hongrui Jia, Haiyang Xu, Wei Ye, Mengfan Dong, Ming Yan, Ji Zhang, Fei Huang, Shikun Zhang:
MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language Model. CoRR abs/2408.12321 (2024) - [i38]Liguo Chen, Qi Guo, Hongrui Jia, Zhengran Zeng, Xin Wang, Yijiang Xu, Jian Wu, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang:
A Survey on Evaluating Large Language Models in Code Generation Tasks. CoRR abs/2408.16498 (2024) - [i37]Yijiang Xu, Hongrui Jia, Liguo Chen, Xin Wang, Zhengran Zeng, Yidong Wang, Qing Gao, Jindong Wang, Wei Ye, Shikun Zhang, Zhonghai Wu:
ISC4DGF: Enhancing Directed Grey-box Fuzzing with LLM-Driven Initial Seed Corpus Generation. CoRR abs/2409.14329 (2024) - 2023
- [c60]Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang:
Sequence Generation with Label Augmentation for Relation Extraction. AAAI 2023: 13043-13050 - [c59]Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang:
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. AAAI 2023: 13051-13058 - [c58]Chaoya Jiang, Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Pseudo Image Captions for Multimodal Summarization. ACL (Findings) 2023: 161-175 - [c57]Zile Qiao, Wei Ye, Dingyao Yu, Tong Mo, Weiping Li, Shikun Zhang:
Improving Knowledge Graph Completion with Generative Hard Negative Mining. ACL (Findings) 2023: 5866-5878 - [c56]Chaoya Jiang, Wei Ye, Haiyang Xu, Songfang Huang, Fei Huang, Shikun Zhang:
Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation. ACL (1) 2023: 14660-14679 - [c55]Yinyi Wei, Shuaipeng Liu, Hailei Yan, Wei Ye, Tong Mo, Guanglu Wan:
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations. ADMA (1) 2023: 309-323 - [c54]Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian:
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. EMNLP (Demos) 2023: 246-255 - [c53]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang:
BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. ICCV 2023: 2888-2898 - [c52]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Ji Zhang:
COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment. ACM Multimedia 2023: 4480-4491 - [c51]Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye:
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. SIGIR 2023: 3255-3259 - [i36]Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxing Jiao, Yue Zhang, Xing Xie:
On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective. CoRR abs/2302.12095 (2023) - [i35]Yuncheng Hua, Xiangyu Xi, Zheng Jiang, Guanwei Zhang, Chaobo Sun, Guanglu Wan, Wei Ye:
Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation. CoRR abs/2304.00884 (2023) - [i34]Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang:
Exploring Vision-Language Models for Imbalanced Learning. CoRR abs/2304.01457 (2023) - [i33]Bo Li, Gexiang Fang, Yang Yang, Quansen Wang, Wei Ye, Wen Zhao, Shikun Zhang:
Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness. CoRR abs/2304.11633 (2023) - [i32]Chaoya Jiang, Wei Ye, Haiyang Xu, Ming Yan, Shikun Zhang, Jie Zhang, Fei Huang:
Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation. CoRR abs/2305.04474 (2023) - [i31]Chaoya Jiang, Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Pseudo Image Captions for Multimodal Summarization. CoRR abs/2305.05496 (2023) - [i30]Ang Lv, Xu Tan, Peiling Lu, Wei Ye, Shikun Zhang, Jiang Bian, Rui Yan:
GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework. CoRR abs/2305.10841 (2023) - [i29]Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie:
PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. CoRR abs/2306.04528 (2023) - [i28]Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang:
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. CoRR abs/2306.05087 (2023) - [i27]Yinyi Wei, Shuaipeng Liu, Hailei Yan, Wei Ye, Tong Mo, Guanglu Wan:
Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations. CoRR abs/2306.15376 (2023) - [i26]Chenfei Kang, Peiling Lu, Botao Yu, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian:
EmoGen: Eliminating Subjective Bias in Emotional Music Generation. CoRR abs/2307.01229 (2023) - [i25]Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie:
A Survey on Evaluation of Large Language Models. CoRR abs/2307.03109 (2023) - [i24]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang:
BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. CoRR abs/2307.08504 (2023) - [i23]Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Ji Zhang, Fei Huang:
COPA: Efficient Vision-Language Pre-training Through Collaborative Object- and Patch-Text Alignment. CoRR abs/2308.03475 (2023) - [i22]Dingyao Yu, Kaitao Song, Peiling Lu, Tianyu He, Xu Tan, Wei Ye, Shikun Zhang, Jiang Bian:
MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models. CoRR abs/2310.11954 (2023) - [i21]Chaoya Jiang, Haiyang Xu, Mengfan Dong, Jiaxing Chen, Wei Ye, Ming Yan, Qinghao Ye, Ji Zhang, Fei Huang, Shikun Zhang:
Hallucination Augmented Contrastive Learning for Multimodal Large Language Model. CoRR abs/2312.06968 (2023) - [i20]Bo Li, Wei Ye, Quansen Wang, Wen Zhao, Shikun Zhang:
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks. CoRR abs/2312.08726 (2023) - [i19]Chaoya Jiang, Wei Ye, Haiyang Xu, Qinghao Ye, Ming Yan, Ji Zhang, Shikun Zhang:
TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training. CoRR abs/2312.08846 (2023) - [i18]Linyi Yang, Shuibai Zhang, Zhuohao Yu, Guangsheng Bao, Yidong Wang, Jindong Wang, Ruochen Xu, Wei Ye, Xing Xie, Weizhu Chen, Yue Zhang:
Supervised Knowledge Makes Large Language Models Better In-context Learners. CoRR abs/2312.15918 (2023) - 2022
- [c50]Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao:
Frequency-Aware Contrastive Learning for Neural Machine Translation. AAAI 2022: 11712-11720 - [c49]Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang:
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs. COLING 2022: 1813-1822 - [c48]Peiyang Liu, Xiangyu Xi, Wei Ye, Shikun Zhang:
Label Smoothing for Text Mining. COLING 2022: 2210-2219 - [c47]Yinyi Wei, Shuaipeng Liu, Jianwei Lv, Xiangyu Xi, Hailei Yan, Wei Ye, Tong Mo, Fan Yang, Guanglu Wan:
DESED: Dialogue-based Explanation for Sentence-level Event Detection. COLING 2022: 2483-2493 - [c46]Xiangyu Xi, Jianwei Lv, Shuaipeng Liu, Wei Ye, Fan Yang, Guanglu Wan:
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts. EMNLP 2022: 2947-2964 - [c45]Chaoya Jiang, Haiyang Xu, Chenliang Li, Ming Yan, Wei Ye, Shikun Zhang, Bin Bi, Songfang Huang:
TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection. EMNLP 2022: 4084-4096 - [c44]Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang:
Low-Resources Project-Specific Code Summarization. ASE 2022: 68:1-68:12 - [c43]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark for Classification. NeurIPS 2022 - [c42]Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu:
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. NeurIPS 2022 - [c41]Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan:
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example. SIGIR 2022: 3398-3402 - [i17]Xiangyu Xi, Chenxu Lv, Yuncheng Hua, Wei Ye, Chaobo Sun, Shuaipeng Liu, Fan Yang, Guanglu Wan:
A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example. CoRR abs/2205.06436 (2022) - [i16]Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yufeng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang:
USB: A Unified Semi-supervised Learning Benchmark. CoRR abs/2208.07204 (2022) - [i15]Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, Marios Savvides:
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. CoRR abs/2208.07463 (2022) - [i14]Zile Qiao, Wei Ye, Tong Zhang, Tong Mo, Weiping Li, Shikun Zhang:
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering Over Knowledge Graphs. CoRR abs/2209.00870 (2022) - [i13]Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu:
Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation. CoRR abs/2210.10349 (2022) - [i12]Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang:
Low-Resources Project-Specific Code Summarization. CoRR abs/2210.11843 (2022) - [i11]Xiangyu Xi, Jianwei Lv, Shuaipeng Liu, Wei Ye, Fan Yang, Guanglu Wan:
MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts. CoRR abs/2211.13896 (2022) - [i10]Bo Li, Dingyao Yu, Wei Ye, Jinglei Zhang, Shikun Zhang:
Sequence Generation with Label Augmentation for Relation Extraction. CoRR abs/2212.14266 (2022) - [i9]Bo Li, Wei Ye, Jinglei Zhang, Shikun Zhang:
Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction. CoRR abs/2212.14270 (2022) - 2021
- [c40]Bo Li, Wei Ye, Canming Huang, Shikun Zhang:
Multi-view Inference for Relation Extraction with Uncertain Knowledge. AAAI 2021: 13234-13242 - [c39]Zhonghao Sheng, Kaitao Song, Xu Tan, Yi Ren, Wei Ye, Shikun Zhang, Tao Qin:
SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint. AAAI 2021: 13798-13805 - [c38]Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu:
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. ACL/IJCNLP (1) 2021: 210-219 - [c37]Tong Zhang, Long Zhang, Wei Ye, Bo Li, Jinan Sun, Xiaoyu Zhu, Wen Zhao, Shikun Zhang:
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation. ACL/IJCNLP (1) 2021: 3970-3979 - [c36]Peiyang Liu, Xi Wang, Lin Wang, Wei Ye, Xiangyu Xi, Shikun Zhang:
Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval. CIKM 2021: 3965-3975 - [c35]Tianxiang Hu, Jingxi Liang, Wei Ye, Shikun Zhang:
Keyword-Aware Encoder for Abstractive Text Summarization. DASFAA (2) 2021: 37-52 - [c34]Peiyang Liu, Xi Wang, Sen Wang, Wei Ye, Xiangyu Xi, Shikun Zhang:
Improving Embedding-based Large-scale Retrieval via Label Enhancement. EMNLP (Findings) 2021: 133-142 - [c33]Xiangyu Xi, Wei Ye, Tong Zhang, Quanxiu Wang, Shikun Zhang, Huixing Jiang, Wei Wu:
Improving Event Detection by Exploiting Label Hierarchy. ICASSP 2021: 7688-7692 - [c32]Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach. ICPC 2021: 138-148 - [c31]Peiyang Liu, Sen Wang, Xi Wang, Wei Ye, Shikun Zhang:
QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval. NAACL-HLT 2021: 3734-3739 - [c30]Long Zhang, Tong Zhang, Haibo Zhang, Baosong Yang, Wei Ye, Shikun Zhang:
Multi-Hop Transformer for Document-Level Machine Translation. NAACL-HLT 2021: 3953-3963 - [c29]Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang:
Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting. SIGIR 2021: 993-1002 - [i8]Rui Xie, Wei Ye, Jinan Sun, Shikun Zhang:
Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach. CoRR abs/2103.11448 (2021) - [i7]Bo Li, Wei Ye, Canming Huang, Shikun Zhang:
Multi-view Inference for Relation Extraction with Uncertain Knowledge. CoRR abs/2104.13579 (2021) - [i6]Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu:
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. CoRR abs/2107.00189 (2021) - [i5]Luyao Ma, Yating Zhang, Tianyi Wang, Xiaozhong Liu, Wei Ye, Changlong Sun, Shikun Zhang:
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting. CoRR abs/2107.05192 (2021) - [i4]Tong Zhang, Wei Ye, Baosong Yang, Long Zhang, Xingzhang Ren, Dayiheng Liu, Jinan Sun, Shikun Zhang, Haibo Zhang, Wen Zhao:
Frequency-Aware Contrastive Learning for Neural Machine Translation. CoRR abs/2112.14484 (2021) - 2020
- [c28]Haixin Wang, Xingzhang Ren, Jinan Sun, Wei Ye, Long Chen, Muzhi Yu, Shikun Zhang:
Deep Dynamic Boosted Forest. ACML 2020: 257-272 - [c27]Bo Li, Wei Ye, Zhonghao Sheng, Rui Xie, Xiangyu Xi, Shikun Zhang:
Graph Enhanced Dual Attention Network for Document-Level Relation Extraction. COLING 2020: 1551-1560 - [c26]Tong Zhang, Wei Ye, Xiangyu Xi, Long Zhang, Shikun Zhang, Wen Zhao:
Leveraging Human Prior Knowledge to Learn Sense Representations. ECAI 2020: 2306-2313 - [c25]Haixin Wang, Tianhao Zhang, Muzhi Yu, Jinan Sun, Wei Ye, Chen Wang, Shikun Zhang:
Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework. ECCV (13) 2020: 446-462 - [c24]Bo Li, Zhonghao Sheng, Wei Ye, Jinglei Zhang, Kai Liu, Shikun Zhang:
Sliding Hierarchical Recurrent Neural Networks for Sequence Classification. IJCNN 2020: 1-8 - [c23]Peiyang Liu, Wei Ye, Xiangyu Xi, Tong Wang, Jinglei Zhang, Shikun Zhang:
Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings. IJCNN 2020: 1-8 - [c22]Jinglei Zhang, Rui Xie, Wei Ye, Yuhan Zhang, Shikun Zhang:
Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention. ICPC 2020: 219-229 - [c21]Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. WWW 2020: 2309-2319 - [i3]