2022

• 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.

2021

• • 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).

2020

• • 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.

Prior to 2020

• • 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.

*Students Mentored by Me.

^Employee or Intern in My Team.