Google Scholar: https://scholar.google.com/citations?user=YtqXSzMAAAAJ&hl=en
Google Scholar: https://scholar.google.com/citations?user=YtqXSzMAAAAJ&hl=en
Jianan Li*, Jian Guan^, Wei Wu**, Zhengtao Yu, and Rui Yan. 2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models. In The Web Conference 2025.
Jiaxin Wen*, Jian Guan^, Hongning Wang, Wei Wu**, and Minlie Huang. CodePlan: Unlocking Reasoning Potential in Large Language Models by Scaling Code-form Planning. In ICLR 2025.
Chuanqi Cheng*, Jian Guan^, Wei Wu**, and Rui Yan. Scaling Video-Language Models to 10K Frames via Hierarichical Differential Distillation. In ICML 2025
Xiang Hu^, Zhihao Teng, Jun Zhao, Wei Wu**, and Kewei Tu. Efficient Length-Generalizable Attention via Causal Retrieval for Long-Context Language Modeling. In ICML 2025.
Zhuocheng Gong^, Jian Guan^, Wei Wu**, Huishuai Zhang, and Dongyan Zhao. Latent Preference Coding: Aligning Large Language Models via Discrete Latent Codes. In ICML 2025.
Xueliang Zhao*, Wei Wu**, Jian Guan^, and Lingpeng Kong. PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models. Findings of ACL 2025.
Jian Guan^, Junfei Wu*, Jianan Li*, Chuanqi Cheng*, and Wei Wu**. A Survey on Personalized Alignment--The Missing Piece for Large Language Models in Real-World Applications. Findings of ACL 2025.
Zhang Zhang, Guhao Feng*, Jian Guan^, Di He, and Wei Wu**. Beyond Online Sampling: Bridging Offline-to-Online Alignment via Dynamic Data Transformation for LLMs. In EMNLP 2025 (short).
Jian Guan^, Wei Wu**, Zujie Wen, Peng Xu, Hongning Wang, and Minlie Huang. AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback. In NeurIPS' 24.
Chuanqi Cheng*, Jian Guan^, Wei Wu**, and Rui Yan. From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis. In EMNLP'24.
Chuanqi Cheng*, Quan Tu, Shuo Shang, Cunli Mao, Zhengtao Yu, Wei Wu**, and Rui Yan. "In Dialogue We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning. In EMNLP'24.
Yuyan Chen*, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu**, Dayiheng Liu, Zhixu Li, Bang Liu, and Yanghua Xiao. MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. Findings of EMNLP'23.
Jian Song^, Di Liang^, Rumei Li^, Yuntao Li^, Sirui Wang^, Minglong Peng, Wei Wu, and Yongxin Yu. Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion. In Findings of EMNLP 2022.
Yupeng Zhang^, Hongzhi Zhang^, Sirui Wang^, Wei Wu, and Zhoujun Li. PATS: Sensitivity-aware Noisy Learning for Pre-trained Language Models. In EMNLP 2022 (short).
Jiduan Liu^, Jiahao Liu^, Yang Yang^, Jingang Wang^, Wei Wu, Dongyan Zhao, and Rui Yan. GNN-Encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval. In Findings of EMNLP 2022.
Dan Li^, Yang Yang^, Hongying Tang^, Jingang Wang^, Tong Xu, Wei Wu, and Enhong Chen. VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction. In EMNLP 2022.
Chen Zhang^, Lei Ren^, Jingang Wang^, Wei Wu, and Dawei Song. Making Pre-trained Language Models Good Long-tailed Learners. In EMNLP 2022.
Fang Ma^, Chen Zhang^, Lei Ren^, Jingang Wang^, Qifan Wang, Wei Wu, Xiaojun Quan, and Dawei Song. XPrompt: Exploring the Extreme of Prompt Tuning. In EMNLP 2022.
Yutao Mou, Pei Wang, Keqing He^, Yanan Wu, Jingang Wang^, Wei Wu, and Weiran Xu. UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. In EMNLP 2022.
Yutao Mou, Keqing He^, Pei Wang, Yanan Wu, Jingang Wang^, Wei Wu, and Weiran Xu. Watch The Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. In EMNLP 2022.
Keqing He^, Jingang Wang^, Chaobo Sun, and Wei Wu. Unified Knowledge Prompt Pre-training for Customer Service Dialogues. In CIKM 2022.
Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun and Ming Gu. Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. In NeurIPS 2022.
Borun Chen^, Hongyin Tang^, Jingang Wang^, Wei Wu, Qifan Wang, Haitao Zheng, and Liqian Yu. CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. In COLING 2022.
Chen Zhang^, Lei Ren^, Fang Ma^, Jingang Wang^, Wei Wu, and Dawei Song. Structural Bias for Aspect Sentiment Triplet Extraction. In COLING 2022.
Yutao Mou, Keqing He^, Yanan Wu, Pei Wang, Jingang Wang^, Wei Wu, Yi Huang, Junlan Feng, and Weiran Xu. Generalized Intent Discovery: Learning from Open World Dialogue System. In COLING 2022.
Ruotian Ma^, Yiding Tan, Xin Zhou, Xuanting Chen, Tao Gui, Di Liang^, Sirui Wang^, and Wei Wu. Searching for Optimal Subword Tokenization in Cross-domain NER. In IJCAI-ECAI 2022.
Yuling Wang^, Hao Xu^, Yanhua Yu, Zhenhao Li, Mengdi Zhang^, Yuji Yang^, and Wei Wu. Ensemble Multi-Relational Graph Neural Networks. In IJCAI-ECAI 2022.
Xueliang Zhao*, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, and Rui Yan. Learning to Express in Knowledge-grounded Conversation. In NAACL 2022.
Yanan Wu, Keqing He^, Yuanmeng Yan, Qixiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang^, Wei Wu, and Weiran Xu. Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. In NAACL 2022.
Ze Yang*, Christian Wang, Zhoujin Tian, Wei Wu, and, Zhoujun Li. TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization. In Findings of NAACL 2022.
Mengxue Zhao^, Yang Yang^, Miao Li^, Jingang Wang^, Wei Wu, Pengjie Ren, Maarten de Rijke, and Zhaochun Ren. Personalized Abstractive Opinion Tagging. In SIGIR 2022.
Kai Zhang^, Qi Liu, Zhenya Huang, Mengdi Zhang^, Kun Zhang, Mingyue Cheng, Wei Wu, and Enhong Chen. Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. In SIGIR 2022.
Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He^, Ruotong Zheng, Huixing Jiang^, Wei Wu, and Weiran Xu. ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. In SIGIR 2022.
Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang^, Juanzi Li, Wei Wu, and Maosong Sun. Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. In ACL 2022.
Rui Zheng, Rong Bao, Yuhao Zhou, Di Liang^, Sirui Wang^, Wei Wu, Tao Gui, Qi Zhang, and Xuanjing Huang. Robust Lottery Tickets for Pre-trained Language Models. In ACL 2022.
Zichu Bi, Qi Zhang, Tao Gui, Di Liang^, Sirui Wang^, Wei Wu, and Xuanjing Huang. CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. In ACL 2022.
Xin Mao^, Meirong Ma, Hao Yuan, Jianchao Zhu, Zongyu Wang^, Rui Xie^, Wei Wu, and Man Lan. An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism. In ACL 2022.
Yutao Mu, Keqing He^, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang^, Wei Wu, and Weiran Xu. Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. In ACL 2022.
Kai Zhang^, Kun Zhang, Mengdi Zhang^, Hongke Zhao, Qi Liu, Wei Wu, and Enhong Chen. Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. In Findings of ACL 2022.
Miaoxin Chen, Zibo Lin, Rongyi Sun, Kai Ouyang, Hai-Tao Zheng, Rui Xie^, and Wei Wu. Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialog Systems. In IEEE ICASSP 2022.
Ze Yang*, Wei Wu, Can Xu, Huang Hu, and Zhoujun Li. Open Domain Dialogue Generation with Latent Images. In AAAI'21.
Yuanmeng Yan, Rumei Li^, Sirui Wang^, Fuzheng Zhang, Wei Wu, and Weiran Xu. ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. In ACL'21.
Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, and Wei Wu. Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. In ACL'21.
Hongyin Tang^, Xingwu Sun, Beihong Jin, Jingang Wang^, Fuzheng Zhang, and Wei Wu. Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. In ACL'21.
Kun Zhou, Wayne Xin Zhao, Sirui Wang^, Fuzheng Zhang, Wei Wu, and Jirong Wen. Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. In EMNLP'21.
Yuanmeng Yan, Rumei Li^, Sirui Wang^, Hongzhi Zhang^, Daoguang Zan, Fuzheng Zhang, Wei Wu, and Weiran Xu. Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. In EMNLP'21 (short).
Xiangyu Xi^, Wei Ye, Tong Zhang, Quanxiu Wang, Shikun Zhang, Huixing Jiang^, and Wei Wu. Improving Event Detection by Exploiting Label Hierarchy. In IEEE ICASSP 2021.
Jiahao Bu^, Lei Ren^, Shuang Zheng^, Yang Yang^, Jingang Wang^, Fuzheng Zhang, and Wei Wu. ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. In NAACL-HLT 2021.
Junkang Wu, Wentao Shi, Xuezhi Cao^, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, and Xiangnan He. DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. In CIKM'21.
Chenxu Lv^, Hengtong Lu, Shuyu Lei^, Huixing Jiang^, Wei Wu, Caixia Yuan, and Xiaojie Wang. Task-Oriented Clustering for Dialogues. In Findings of EMNLP'21.
Hengtong Lu, Zhuoxin Han, Caixia Yuan, Xiaojie Wang, Shuyu Lei, Huixing Jiang, and Wei Wu. Slot Transferability for Cross-domain Slot Filling. In Findings of ACL'21.
Chongyang Tao, Jiazhan Feng, Ruijian Xu, Wei Wu, and Daxin Jiang. A Survey on Response Selection for Retrieval-based Dialogues. In IJCAI'21.
Rui Yan and Wei Wu. Empowering Conversational AI is a trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues. In AAAI'21 (Senior Member Presentation Track).
Linxiao Li, Can Xu^, Wei Wu, Yufan Zhao^, Xueliang Zhao*, and Chongyang Tao*. Zero-Resource Knowledge-Grounded Dialogue Generation. In NeurIPS' 20.
Ze Yang*, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, and Zhoujun Li. Stylized Response Generation with Pre-trained Language Models. In Findings of EMNLP'20.
Yufan Zhao^, Can Xu^, Wei Wu. Learning a Simple and Effective Model for Multi-turn Response Generation with Auxiliary Tasks. In EMNLP'20.
Xueliang Zhao*, Wei Wu, Can Xu^, Chongyang Tao*, Dongyan Zhao, and Rui Yan. Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. In EMNLP'20.
Xueliang Zhao*, Wei Wu, Chongyang Tao*, Can Xu^, Dongyan Zhao, and Rui Yan. Low-Resource Knowledge-Grounded Dialogue Generation. In ICLR'20.
Ze Yang*, Wei Wu, Jian Yang, Can Xu^, and Zhoujun Li. Low-Resource Response Generation with Template Prior. In EMNLP'19.
Jia Li, Chongyang Tao*, Wei Wu, Yansong Feng, Dongyan Zhao, and Rui Yan. Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems. In EMNLP'19, short paper.
Can Xu^, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, and Ying Wang. Neural Response Generation with Meta-Words. In ACL'19
Chongyang Tao*, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, and Rui Yan. One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. In ACL'19
Jiazhan Feng, Chongyao Tao*, Wei Wu, Yansong Feng, Dongyan Zhao, and Rui Yan. Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. In ACL'19
Xueliang Zhao*, Chongyang Tao*, Wei Wu, Can Xu, Dongyan Zhao, and Rui Yan. A Document-grounded Matching Network Response Selection in Retrieval-based Chatbots. In IJCAI'19
Yu Wu*, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, and Ming Zhou. A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-based Chatbots. Computational Linguistics, Volume 45, No.1, March 2019, Pages 163-197.
Chongyang Tao*, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, and Rui Yan. Multi-Representation Fusion Network for Multi-turn Response Selection in Retrieval-based Chatbots. In WSDM'19.
Yu Wu*, Zhoujun Li, Wei Wu, and Ming Zhou. Response Selection with Topic Clues for Retrieval-based Chatbots. Neurocomputing, Volume 316, 17 November 2018, Pages 251-261.
Huang Hu^, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu and Zhan Chen. Playing 20 Question Game with Policy-Based Reinforcement Learning. In EMNLP'18.
Yu Wu*, Wei Wu, Zhoujun Li, and Ming Zhou. Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. In ACL'18, short paper.
Chongyang* Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, and Rui Yan. Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. In IJCAI'18.
Chen Xing*, Wei Wu, Yu Wu*, Ming Zhou, Yalou Huang, and Wei-Ying Ma. Hierarchical Recurrent Attention Network for Response Generation. In AAAI'18.
Yu Wu*, Wei Wu, Zhoujun Li, and Ming Zhou. Knowledge Enhanced Hybrid Neural Network for Text Matching. In AAAI'18.
Yu Wu*, Wei Wu, Dejian Yang, Can Xu*, Zhoujun Li, and Ming Zhou. Neural Response Generation with Dynamic Vocabularies. In AAAI'18.
Yu Wu*, Wei Wu, Chen Xing*, Zhoujun Li, and Ming Zhou. Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots. In ACL'17.
Chen Xing*, Wei Wu, Yu Wu*, Jie Liu, Yalou Huang, Ming Zhou, and Wei-Ying Ma. Topic Aware Neural Response Generation. In AAAI'17
Chaozhou Li*, Yu Wu*, Wei Wu, Chen Xing*, Zhoujun Li, and Ming Zhou. Detecting Context Dependent Messages in a Conversational Environment. In COLING'16
Kai Zhang*, Wei Wu, Fang Wang*, Ming Zhou, and Zhoujun Li. Learning Distributed Representations of Data in Community Question Answering for Question Retrieval. In WSDM'16
Yu Wu*, Wei Wu, Xiang Zhang, Zhoujun Li, and Ming Zhou. Improving Recommendation of Tail Tags for Questions in Community Question Answering. In AAAI'16
Yu Wu*, Wei Wu, Zhoujun Li, and Ming Zhou. Mining Query Subtopics from Questions in Community Question Answering. In AAAI'15.
Kai Zhang*, Wei Wu, Haocheng Wu*, Zhoujun Li, and Ming Zhou. Question Retrieval with High Quality Answers in Community Question Answering. In CIKM'14.
Haocheng Wu*, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, and Heung-Yeung Shum. Improving Search Relevance for Short Queries in Community Question Answering. In WSDM'14.
Wei Wu, Hang Li, and Jun Xu. Learning Query and Document Similarities from Click-through Bipartite Graph with Metadata. In WSDM'13.
Wei Wu, Zhengdong Lu, and Hang Li. Learning Bilinear Model for Matching Queries and Documents. In JMLR'13.
Wei Wu, Hang Li, Jun Xu, and Satoshi Oyama. Learning a Robust Relevance Model for Search Using Kernel Methods. In JMLR'11.
Wei Wu, Hang Li, Yunhua Hu, and Rong Jin. Multi-Task Learning in Square Integrable Space. In AAAI'11.
** Corresponding Author
*Students Mentored by Me.
^Employee or Intern in My Team.