Publications

Full list see my Google Scholar

* Corresponding author

2023

  1. Learning to Tokenize for Generative Retrieval
    Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten Rijke, and Zhaochun Ren*
    NeurIPS (CORE rank A*), 2023
  2. Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
    Weiwei Sun, Lingyong Yan, Xinyu Ma, Pengjie Ren, Dawei Yin, and Zhaochun Ren*
    EMNLP (CORE rank A*), 2023
  3. Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning
    Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, and Zhaochun Ren*
    EMNLP (CORE rank A*), 2023
  4. Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features
    Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten Rijke, and Zhaochun Ren*
    EMNLP (CORE rank A*), 2023
  5. Towards a Unified Framework for Reference Retrieval and Related Work Generation
    Zhengliang Shi, Shen Gao, Zhen Zhang, Xiuying Chen, Zhumin Chen, Pengjie Ren, and Zhaochun Ren*
    EMNLP (CORE rank A*), 2023
  6. DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment
    Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren*, and Dawei Yin
    EMNLP (CORE rank A*), 2023
  7. Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
    Zhou Yang, Zhaochun Ren, Yufeng Wang, Xiaofei Zhu, Zhihao Chen, Tiecheng Cai, Yunbing Wu, Yisong Su, Sibo Ju Ju, and Xiangwen Liao
    EMNLP (CORE rank A*), 2023
  8. Syllogistic Reasoning for Legal Judgment Analysis
    Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, and Pengjie Ren
    EMNLP (CORE rank A*), 2023
  9. Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation
    Xuanfan Ni, Hongliang Dai, Zhaochun Ren, and Piji Li
    EMNLP (CORE rank A*), 2023
  10. Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations
    Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten Rijke, and Zhaochun Ren*
    CIKM (CORE rank A), 2023
  11. Privacy-Preserving Federated Learning via Disentanglement
    Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, and Zhe Liu
    CIKM (CORE rank A), 2023
  12. RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue
    Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, and Zhaochun Ren*
    ACL (CORE rank A*), 2023
  13. Answering Ambiguous Questions via Iterative Prompting
    Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten Rijke, and Zhaochun Ren*
    ACL (CORE rank A*), 2023
  14. UMSE: Unified Multi-scenario Summarization Evaluation
    Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, and Zhumin Chen
    ACL (CORE rank A*), 2023
  15. Towards Explainable Conversational Recommender Systems
    Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, and Zhaochun Ren*
    SIGIR (CORE rank A*), 2023
  16. Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems.
    Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Ma Jun, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, and Xin Xin
    (co-first author)
    SIGIR (CORE rank A*)
    , 2023
  17. Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment.
    Xin Xin, Xiangyuan Liu, Hanbing Wang, Pengjie Ren, Zhumin Chen, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Maarten de Rijke, and Zhaochun Ren*
    SIGIR (CORE rank A*), 2023
  18. Feature-Level Debiased Natural Language Understanding.
    Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, and Zhaochun Ren*
    AAAI (CORE rank A*), 2023
  19. Contrastive Learning Reduces Hallucination in Conversations.
    Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, and Zhaochun Ren*
    AAAI (CORE rank A*), 2023
  20. Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation.
    Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, and Zhaochun Ren*
    WSDM (CORE rank A), 2023

2022

  1. Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems
    Weiwei Sun, Shuyu Guo, Shuo Zhang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, and Zhaochun Ren*
    In ACM TOIS, 2022
  2. Variational Reasoning about User Preferences for Conversational Recommendation.
    Zhaochun Ren*, Zhi Tian, Dongdong Li, Pengjie Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, and Zhumin Chen
    (co-first author)
    SIGIR (CORE rank A*)
    , 2022
  3. Debiasing Learning for Membership Inference Attacks Against Recommender Systems.
    Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, and Zhaochun Ren*
    KDD (CORE rank A*), 2022
  4. Knowledge bridging for empathetic dialogue generation.
    Qintong Li, Piji Li*, Zhaochun Ren*, Pengjie Ren, and Zhumin Chen
    AAAI (CORE rank A*), 2022

2021

  1. Membership Inference Attacks Against Recommender Systems.
    Zhaochun Ren*, Minxing Zhanag, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, and Yang Zhang
    (co-first author)
    CCS (CORE rank A*)
    , 2021
  2. Semi-Supervised Variational Reasoning for Medical Dialogue Generation.
    Zhaochun Ren*, Dongdong Li, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, and Maarten de Rijke
    (co-first author)
    SIGIR (CORE rank A*)
    , 2021

2020

  1. EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation.
    Qintong Li, Hongshen Chen, Zhaochun Ren*, Zhumin Chen, Zhaopeng Tu, and Jun Ma
    COLING (CORE rank A), 2020
  2. Keywords Generation Improves E-Commerce Session-based Recommendation.
    Yuanxing Liu, Zhaochun Ren*, Wanxiang Che, Ting Liu, and Dawei Yin
    In The Web Conference, 2020
  3. Streaming graph neural networks.
    Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, and Dawei Yin
    SIGIR (CORE rank A*), 2020

2019

  1. Robust Embedding with Multi-Level Structures for Link Prediction.
    Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, and Yue Hu
    IJCAI (CORE rank A*), 2019
  2. Taxonomy-aware Multi-hop Reasoning Networks for Sequential Recommendation.
    Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, and Daxiang Dong
    WSDM (CORE rank A), 2019

2018

  1. Explicit State Tracking with Semi-Supervision for Neural Dialogue Generation.
    Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Eric Zhao, and Dawei Yin
    CIKM (CORE rank A), 2018
  2. Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.
    Wenqiang Lei, Xisen Jin, Zhaochun Ren, Xiangnan He, Min-Yen Kan, and Dawei Yin
    ACL (CORE rank A*), 2018
  3. Knowledge Diffusion for Neural Dialogue Generation.
    Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, and Dawei Yin
    ACL (CORE rank A*), 2018
  4. Hierarchical Variational Memory Network for Dialogue Generation.
    Zhaochun Ren*, Hongshen Chen, Jiliang Tang, Yihong Eric Zhao, and Dawei Yin
    (co-first author)
    WWW (CORE rank A*)
    , 2018
  5. Multi-dimensional network embedding with hierarchical structures.
    Zhaochun Ren*, Yao Ma, Ziheng Jiang, Jiliang Tang, and Dawei Yin
    (co-first author)
    WSDM (CORE rank A)
    , 2018
  6. A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.
    (Best Student Paper Award)
    Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, and Dawei Yin
    WSDM (CORE rank A), 2018

2017

  1. Neural Attentive Session-based Recommendation.
    (Best Full Paper Runner Up Award)
    Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, and Jun Ma
    CIKM (CORE rank A), 2017
  2. Summarizing Answers in Non-Factoid Community Question-Answering.
    Zhaochun Ren*, Hongya Song, Shangsong Liang, Piji Li, Jun Ma, and Maarten de Rijke
    (co-first author)
    WSDM (CORE rank A)
    , 2017
  3. Social Collaborative Viewpoint Regression with Explainable Recommendations.
    Zhaochun Ren*, Shangsong Liang, Piji Li, Shuaiqiang Wang, and Maarten de Rijke
    WSDM (CORE rank A), 2017

2016

  1. Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams.
    Zhaochun Ren, Oana Inel, Lora Aroyo, and Maarten de Rijke
    CIKM (CORE rank A), 2016
  2. Explainable User Clustering in Short Text Streams.
    Zhaochun Ren*, Yukun Zhao, Shangsong Liang, Jun Ma, Emine Yilmaz, and Maarten de Rijke
    (co-first author)
    SIGIR (CORE rank A*)
    , 2016

2015

  1. Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes.
    Zhaochun Ren, and Maarten de Rijke
    SIGIR (CORE rank A*), 2015

2014

  1. Hierarchical Multi-Label Classification of Social Text Streams.
    Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Willemijn van Dolen, and Maarten de Rijke
    SIGIR (CORE rank A*), 2014

2013

  1. Personalized Time-aware Tweets Summarization.
    Zhaochun Ren, Shangsong Liang, Edgar Meij, and Maarten de Rijke
    SIGIR (CORE rank A*), 2013

2011

  1. Summarizing web forum threads based on a latent topic propagation process.
    Zhaochun Ren, Jun Ma, Shuaiqiang Wang, and Yang Liu
    CIKM (CORE rank A), 2011