Zhaochun Ren
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
158
Venues
19
Active years
2011–2026
Best venue rank
A*
Where they publish
Papers
158 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Social Welfare Function Leaderboard: On the Emergence of LLM Agents as the Welfare Dictator. | Zhengliang Shi, Ruotian Ma, Jen-tse Huang, Xinbei Ma, Xingyu Chen, Mengru Wang, Qu Yang, Yue Wang, Fanghua Ye, Ziyang Chen, Shanyi Wang, Cixing Li, Wenxuan Wang, Zhaopeng Tu, Xiaolong Li, Zhaochun Ren, Liefeng Bo |
| 2026 | ACL | ReportLogic: Evaluating Logical Quality in Deep Research Reports. | Jujia Zhao, Zhaoxin Huan, Zihan Wang, Xiaolu Zhang, Jun Zhou, Suzan Verberne, Zhaochun Ren |
| 2026 | ACL | Reinforced Efficient Reasoning via Semantically Diverse Exploration. | Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, Zhumin Chen, Xinyu Ma, Daiting Shi, Shuaiqiang Wang, Dawei Yin, Xin Xin |
| 2026 | ECIR | Generative Retrieval with Few-Shot Indexing. | Arian Askari, Chuan Meng, Mohammad Aliannejadi, Zhaochun Ren, Evangelos Kanoulas, Suzan Verberne |
| 2026 | ECIR | The Third Search Futures Workshop at ECIR'26. | Leif Azzopardi, Charles L. A. Clarke, Claudia Hauff, Yubin Kim, Zhaochun Ren, Adam Roegiest, Johanne R. Trippas, Saber Zerhoudi |
| 2026 | WWW | R2NS: Recall and Re-ranking of Negative Samples for Sequential Recommendation. | Yuanzi Li, Xuri Ge, Jingyu Zhao, Yidan Wang, Jiyuan Yang, Zhumin Chen, Zhaochun Ren, Xin Xin |
| 2026 | WWW | Model Editing for New Document Integration in Generative Information Retrieval. | Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2026 | SIGIR | Differentiable Semantic ID for Generative Recommendation. | Junchen Fu, Xuri Ge, Alexandros Karatzoglou, Ioannis Arapakis, Suzan Verberne, Joemon M. Jose, Zhaochun Ren |
| 2026 | SIGIR | AgentSearch: Indexing, Retrieval, and Ranking of AI Agents. | Bin Wu, To Eun Kim, Yue Feng, Fernando Diaz, Zhaochun Ren, Emine Yilmaz |
| 2026 | SIGIR | Unifying Search and Recommendation in LLMs via Gradient Multi-Subspace Tuning. | Jujia Zhao, Zihan Wang, Shuaiqun Pan, Suzan Verberne, Zhaochun Ren |
| 2026 | WSDM | Have We Really Understood Collaborative Information? An Empirical Investigation. | Xiaokun Zhang, Zhaochun Ren, Bowei He, Ziqiang Cui, Chen Ma |
| 2025 | AAAI | ExcluIR: Exclusionary Neural Information Retrieval. | Wenhao Zhang, Mengqi Zhang, Shiguang Wu, Jiahuan Pei, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Pengjie Ren |
| 2025 | ACL | Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. | Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren |
| 2025 | ACL | Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. | Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin |
| 2025 | ACL | Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. | Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin |
| 2025 | CIKM | ProActLLM: Proactive Conversational Information Seeking with Large Language Models. | Shubham Chatterjee, Xi Wang, Shuo Zhang, Sajad Ebrahimi, Zhaochun Ren, Debasis Ganguly, Gareth J. F. Jones, Emine Yilmaz, Hamed Zamani |
| 2025 | CIKM | Fine-Grained Emotion Recognition via In-Context Learning. | Zhaochun Ren, Zhou Yang, Chenglong Ye, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao |
| 2025 | CIKM | The 1st Workshop on LLM Agents for Social Simulation. | Yige Yuan, Junkai Zhou, Bingbing Xu, Liang Pang, Du Su, An Zhang, Teng Xiao, Fengli Xu, Zhaochun Ren, Xu Chen |
| 2025 | ECIR | The Second Search Futures Workshop at ECIR'25. | Charles Clarke, Paul B. Kantor, Adam Roegiest, Ian Soboroff, Johanne R. Trippas, Zhaochun Ren |
| 2025 | ECIR | Malevolence Attacks Against Pretrained Dialogue Models. | Pengjie Ren, Ruiqi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke, Yangjun Zhang |
| 2025 | EMNLP | Enhancing RAG Efficiency with Adaptive Context Compression. | Shuyu Guo, Shuo Zhang, Zhaochun Ren |
| 2025 | EMNLP | UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets. | Wenyu Wang, Mengqi Zhang, Xiaotian Ye, Zhaochun Ren, Pengjie Ren, Zhumin Chen |
| 2025 | EMNLP | Bridging the Capability Gap: Joint Alignment Tuning for Harmonizing LLM-based Multi-Agent Systems. | Minghang Zhu, Zhengliang Shi, Zhiwei Xu, Shiguang Wu, Lingjie Wang, Pengjie Ren, Zhaochun Ren, Zhumin Chen |
| 2025 | ICLR | OmniKV: Dynamic Context Selection for Efficient Long-Context LLMs. | Jitai Hao, Yuke Zhu, Tian Wang, Jun Yu, Xin Xin, Bo Zheng, Zhaochun Ren, Sheng Guo |
| 2025 | ICLR | MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. | Yougang Lyu, Lingyong Yan, Zihan Wang, Dawei Yin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2025 | ICLR | SimPER: A Minimalist Approach to Preference Alignment without Hyperparameters. | Teng Xiao, Yige Yuan, Zhengyu Chen, Mingxiao Li, Shangsong Liang, Zhaochun Ren, Vasant G. Honavar |
| 2025 | KDD | FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking. | Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin |
| 2025 | KDD | Offline Trajectory Optimization for Offline Reinforcement Learning. | Ziqi Zhao, Zhaochun Ren, Liu Yang, Yunsen Liang, Fajie Yuan, Pengjie Ren, Zhumin Chen, Jun Ma, Xin Xin |
| 2025 | RecSys | Model Meets Knowledge: Analyzing Knowledge Types for Conversational Recommender Systems. | Jujia Zhao, Yumeng Wang, Zhaochun Ren, Suzan Verberne |
| 2025 | WWW | Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. | Zhengliang Shi, Shen Gao, Lingyong Yan, Yue Feng, Xiuyi Chen, Zhumin Chen, Dawei Yin, Suzan Verberne, Zhaochun Ren |
| 2025 | WWW | A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. | Zihan Wang, Ziqi Zhao, Yougang Lyu, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2025 | WWW | The 1st Workshop on Human-Centered Recommender Systems. | Kaike Zhang, Yunfan Wu, Yougang Lyu, Du Su, Yingqiang Ge, Shuchang Liu, Qi Cao, Zhaochun Ren, Fei Sun |
| 2025 | SIGIR | Constrained Auto-Regressive Decoding Constrains Generative Retrieval. | Shiguang Wu, Zhaochun Ren, Xin Xin, Jiyuan Yang, Mengqi Zhang, Zhumin Chen, Maarten de Rijke, Pengjie Ren |
| 2025 | SIGIR | Replication and Exploration of Generative Retrieval over Dynamic Corpora. | Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren |
| 2025 | SIGIR | Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. | Ziqi Zhao, Zhaochun Ren, Jiyuan Yang, Zuming Yan, Zihan Wang, Liu Yang, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Xin Xin |
| 2024 | AAAI | Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. | Shen Gao, Zhengliang Shi, Minghang Zhu, Bowen Fang, Xin Xin, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2024 | ACL | CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems. | Amin Abolghasemi, Zhaochun Ren, Arian Askari, Mohammad Aliannejadi, Maarten de Rijke, Suzan Verberne |
| 2024 | ACL | MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. | Jitai Hao, Weiwei Sun, Xin Xin, Qi Meng, Zhumin Chen, Pengjie Ren, Zhaochun Ren |
| 2024 | ACL | Self-Supervised Position Debiasing for Large Language Models. | Zhongkun Liu, Zheng Chen, Mengqi Zhang, Zhaochun Ren, Pengjie Ren, Zhumin Chen |
| 2024 | ACL | MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. | Pengjie Ren, Chengshun Shi, Shiguang Wu, Mengqi Zhang, Zhaochun Ren, Maarten de Rijke, Zhumin Chen, Jiahuan Pei |
| 2024 | ACL | Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. | Zhengliang Shi, Shuo Zhang, Weiwei Sun, Shen Gao, Pengjie Ren, Zhumin Chen, Zhaochun Ren |
| 2024 | ACL | An Iterative Associative Memory Model for Empathetic Response Generation. | Zhou Yang, Zhaochun Ren, Yufeng Wang, Haizhou Sun, Chao Chen, Xiaofei Zhu, Xiangwen Liao |
| 2024 | CIKM | Content-Based Collaborative Generation for Recommender Systems. | Yidan Wang, Zhaochun Ren, Weiwei Sun, Jiyuan Yang, Zhixiang Liang, Xin Chen, Ruobing Xie, Su Yan, Xu Zhang, Pengjie Ren, Zhumin Chen, Xin Xin |
| 2024 | COLING | How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. | Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu |
| 2024 | COLING | Improving the Robustness of Large Language Models via Consistency Alignment. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2024 | ECIR | Answer Retrieval in Legal Community Question Answering. | Arian Askari, Zihui Yang, Zhaochun Ren, Suzan Verberne |
| 2024 | ECIR | The Search Futures Workshop. | Leif Azzopardi, Charles L. A. Clarke, Paul B. Kantor, Bhaskar Mitra, Johanne R. Trippas, Zhaochun Ren |
| 2024 | ECIR | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | EMNLP | MAIR: A Massive Benchmark for Evaluating Instructed Retrieval. | Weiwei Sun, Zhengliang Shi, Wu Long, Lingyong Yan, Xinyu Ma, Yiding Liu, Min Cao, Dawei Yin, Zhaochun Ren |
| 2024 | EMNLP | KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. | Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2024 | EMNLP | Learning to Use Tools via Cooperative and Interactive Agents. | Zhengliang Shi, Shen Gao, Xiuyi Chen, Yue Feng, Lingyong Yan, Haibo Shi, Dawei Yin, Pengjie Ren, Suzan Verberne, Zhaochun Ren |
| 2024 | NAACL | Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2024 | RecSys | Towards Empathetic Conversational Recommender Systems. | Xiaoyu Zhang, Ruobing Xie, Yougang Lyu, Xin Xin, Pengjie Ren, Mingfei Liang, Bo Zhang, Zhanhui Kang, Maarten de Rijke, Zhaochun Ren |
| 2024 | WWW | Generative News Recommendation. | Shen Gao, Jiabao Fang, Quan Tu, Zhitao Yao, Zhumin Chen, Pengjie Ren, Zhaochun Ren |
| 2024 | SIGIR | Generative Retrieval as Multi-Vector Dense Retrieval. | Shiguang Wu, Wenda Wei, Mengqi Zhang, Zhumin Chen, Jun Ma, Zhaochun Ren, Maarten de Rijke, Pengjie Ren |
| 2024 | SIGIR | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Disentangling ID and Modality Effects for Session-based Recommendation. | Xiaokun Zhang, Bo Xu, Zhaochun Ren, Xiaochen Wang, Hongfei Lin, Fenglong Ma |
| 2024 | WSDM | On the Effectiveness of Unlearning in Session-Based Recommendation. | Xin Xin, Liu Yang, Ziqi Zhao, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2024 | WSDM | Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. | Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin |
| 2023 | AAAI | Feature-Level Debiased Natural Language Understanding. | Yougang Lyu, Piji Li, Yechang Yang, Maarten de Rijke, Pengjie Ren, Yukun Zhao, Dawei Yin, Zhaochun Ren |
| 2023 | AAAI | Contrastive Learning Reduces Hallucination in Conversations. | Weiwei Sun, Zhengliang Shi, Shen Gao, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | ACL | UMSE: Unified Multi-scenario Summarization Evaluation. | Shen Gao, Zhitao Yao, Chongyang Tao, Xiuying Chen, Pengjie Ren, Zhaochun Ren, Zhumin Chen |
| 2023 | ACL | RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue. | Zhengliang Shi, Weiwei Sun, Shuo Zhang, Zhen Zhang, Pengjie Ren, Zhaochun Ren |
| 2023 | ACL | Answering Ambiguous Questions via Iterative Prompting. | Weiwei Sun, Hengyi Cai, Hongshen Chen, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren |
| 2023 | CIKM | Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. | Zihan Wang, Kai Zhao, Yongquan He, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | CIKM | Privacy-Preserving Federated Learning via Disentanglement. | Wenjie Zhou, Piji Li, Zhaoyang Han, Xiaozhen Lu, Juan Li, Zhaochun Ren, Zhe Liu |
| 2023 | EACL | Generative Knowledge Selection for Knowledge-Grounded Dialogues. | Weiwei Sun, Pengjie Ren, Zhaochun Ren |
| 2023 | EMNLP | Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. | Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren |
| 2023 | EMNLP | Syllogistic Reasoning for Legal Judgment Analysis. | Wentao Deng, Jiahuan Pei, Keyi Kong, Zhe Chen, Furu Wei, Yujun Li, Zhaochun Ren, Zhumin Chen, Pengjie Ren |
| 2023 | EMNLP | Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. | Yougang Lyu, Jitai Hao, Zihan Wang, Kai Zhao, Shen Gao, Pengjie Ren, Zhumin Chen, Fang Wang, Zhaochun Ren |
| 2023 | EMNLP | Multi-Source Multi-Type Knowledge Exploration and Exploitation for Dialogue Generation. | Xuanfan Ni, Hongliang Dai, Zhaochun Ren, Piji Li |
| 2023 | EMNLP | Towards a Unified Framework for Reference Retrieval and Related Work Generation. | Zhengliang Shi, Shen Gao, Zhen Zhang, Xiuying Chen, Zhumin Chen, Pengjie Ren, Zhaochun Ren |
| 2023 | EMNLP | Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. | Zihan Wang, Ziqi Zhao, Zhumin Chen, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2023 | EMNLP | 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, Xiangwen Liao |
| 2023 | EMNLP | DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. | Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin |
| 2023 | WWW | A Self-Correcting Sequential Recommender. | Yujie Lin, Chenyang Wang, Zhumin Chen, Zhaochun Ren, Xin Xin, Qiang Yan, Maarten de Rijke, Xiuzhen Cheng, Pengjie Ren |
| 2023 | WWW | CTRLStruct: Dialogue Structure Learning for Open-Domain Response Generation. | Congchi Yin, Piji Li, Zhaochun Ren |
| 2023 | SIGIR | 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, Zhaochun Ren |
| 2023 | SIGIR | Towards Explainable Conversational Recommender Systems. | Shuyu Guo, Shuo Zhang, Weiwei Sun, Pengjie Ren, Zhumin Chen, Zhaochun Ren |
| 2023 | SIGIR | Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. | Zhaochun Ren, Na Huang, Yidan Wang, Pengjie Ren, Jun Ma, Jiahuan Lei, Xinlei Shi, Hengliang Luo, Joemon M. Jose, Xin Xin |
| 2023 | WSDM | Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. | Xiaoyu Zhang, Xin Xin, Dongdong Li, Wenxuan Liu, Pengjie Ren, Zhumin Chen, Jun Ma, Zhaochun Ren |
| 2022 | AAAI | Knowledge Bridging for Empathetic Dialogue Generation. | Qintong Li, Piji Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen |
| 2022 | ACL | Event Transition Planning for Open-ended Text Generation. | Qintong Li, Piji Li, Wei Bi, Zhaochun Ren, Yuxuan Lai, Lingpeng Kong |
| 2022 | KDD | Debiasing Learning for Membership Inference Attacks Against Recommender Systems. | Zihan Wang, Na Huang, Fei Sun, Pengjie Ren, Zhumin Chen, Hengliang Luo, Maarten de Rijke, Zhaochun Ren |
| 2022 | SIGIR | Variational Reasoning about User Preferences for Conversational Recommendation. | Zhaochun Ren, Zhi Tian, Dongdong Li, Pengjie Ren, Liu Yang, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | SIGIR | Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. | Xin Xin, Tiago Pimentel, Alexandros Karatzoglou, Pengjie Ren, Konstantina Christakopoulou, Zhaochun Ren |
| 2022 | SIGIR | ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. | Guojun Yan, Jiahuan Pei, Pengjie Ren, Zhaochun Ren, Xin Xin, Huasheng Liang, Maarten de Rijke, Zhumin Chen |
| 2022 | SIGIR | Personalized Abstractive Opinion Tagging. | Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2022 | SIGIR | Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. | Jie Zou, Evangelos Kanoulas, Pengjie Ren, Zhaochun Ren, Aixin Sun, Cheng Long |
| 2021 | ACL | Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. | Zhongkun Liu, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Maarten de Rijke, Ming Zhou |
| 2021 | CCS | Membership Inference Attacks Against Recommender Systems. | Minxing Zhang, Zhaochun Ren, Zihan Wang, Pengjie Ren, Zhumin Chen, Pengfei Hu, Yang Zhang |
| 2021 | ICDE | Description Generation for Points of Interest. | Meng Zhou, Jingbo Zhou, Yanjie Fu, Zhaochun Ren, Xiaoli Wang, Hui Xiong |
| 2021 | WWW | CrowdGP: a Gaussian Process Model for Inferring Relevance from Crowd Annotations. | Dan Li, Zhaochun Ren, Evangelos Kanoulas |
| 2021 | WWW | Long Short-Term Session Search: Joint Personalized Reranking and Next Query Prediction. | Qiannan Cheng, Zhaochun Ren, Yujie Lin, Pengjie Ren, Zhumin Chen, Xiangyuan Liu, Maarten de Rijke |
| 2021 | SIGIR | Multi-Type Textual Reasoning for Product-Aware Answer Generation. | Yue Feng, Zhaochun Ren, Weijie Zhao, Mingming Sun, Ping Li |
| 2021 | SIGIR | Semi-Supervised Variational Reasoning for Medical Dialogue Generation. | Dongdong Li, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Miao Fan, Jun Ma, Maarten de Rijke |
| 2021 | SIGIR | Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. | Chuan Meng, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tengxiao Xi, Maarten de Rijke |
| 2021 | SIGIR | Wizard of Search Engine: Access to Information Through Conversations with Search Engines. | Pengjie Ren, Zhongkun Liu, Xiaomeng Song, Hongtao Tian, Zhumin Chen, Zhaochun Ren, Maarten de Rijke |
| 2021 | SIGIR | Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. | Weiwei Sun, Shuo Zhang, Krisztian Balog, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | SIGIR | Conversations Powered by Cross-Lingual Knowledge. | Weiwei Sun, Chuan Meng, Qi Meng, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Maarten de Rijke |
| 2021 | SIGIR | Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. | Zihan Wang, Hongye Song, Zhaochun Ren, Pengjie Ren, Zhumin Chen, Xiaozhong Liu, Hongsong Li, Maarten de Rijke |
| 2021 | WSDM | Abstractive Opinion Tagging. | Qintong Li, Piji Li, Xinyi Li, Zhaochun Ren, Zhumin Chen, Maarten de Rijke |
| 2020 | CIKM | VN Network: Embedding Newly Emerging Entities with Virtual Neighbors. | Yongquan He, Zihan Wang, Peng Zhang, Zhaopeng Tu, Zhaochun Ren |
| 2020 | COLING | EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. | Qintong Li, Hongshen Chen, Zhaochun Ren, Pengjie Ren, Zhaopeng Tu, Zhumin Chen |
| 2020 | ECAI | A Neural Topical Expansion Framework for Unstructured Persona-Oriented Dialogue Generation. | Minghong Xu, Piji Li, Haoran Yang, Pengjie Ren, Zhaochun Ren, Zhumin Chen, Jun Ma |
| 2020 | IJCAI | From Standard Summarization to New Tasks and Beyond: Summarization with Manifold Information. | Shen Gao, Xiuying Chen, Zhaochun Ren, Dongyan Zhao, Rui Yan |
| 2020 | IJCAI | Auxiliary Template-Enhanced Generative Compatibility Modeling. | Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma |
| 2020 | WWW | Keywords Generation Improves E-Commerce Session-based Recommendation. | Yuanxing Liu, Zhaochun Ren, Wei-Nan Zhang, Wanxiang Che, Ting Liu, Dawei Yin |
| 2020 | SIGIR | Streaming Graph Neural Networks. | Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin |
| 2020 | SIGIR | AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. | Hongshen Chen, Zhaochun Ren, Pengjie Ren, Dawei Yin, Xiaodong He |
| 2020 | SIGIR | Meta Matrix Factorization for Federated Rating Predictions. | Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Dongxiao Yu, Jun Ma, Maarten de Rijke, Xiuzhen Cheng |
| 2020 | SIGIR | DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. | Chuan Meng, Pengjie Ren, Zhumin Chen, Weiwei Sun, Zhaochun Ren, Zhaopeng Tu, Maarten de Rijke |
| 2020 | SIGIR | Coding Electronic Health Records with Adversarial Reinforcement Path Generation. | Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jian-Yun Nie, Jun Ma, Maarten de Rijke |
| 2020 | WSDM | NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. | Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke |
| 2020 | WSDM | LARA: Attribute-to-feature Adversarial Learning for New-item Recommendation. | Changfeng Sun, Han Liu, Meng Liu, Zhaochun Ren, Tian Gan, Liqiang Nie |
| 2019 | AAAI | Abstractive Text Summarization by Incorporating Reader Comments. | Shen Gao, Xiuying Chen, Piji Li, Zhaochun Ren, Lidong Bing, Dongyan Zhao, Rui Yan |
| 2019 | AAAI | Spectral Clustering in Heterogeneous Information Networks. | Xiang Li, Ben Kao, Zhaochun Ren, Dawei Yin |
| 2019 | AAAI | RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. | Pengjie Ren, Zhumin Chen, Jing Li, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | CIKM | Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. | Shanshan Wang, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | ECIR | Vectors of Pairwise Item Preferences. | Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang |
| 2019 | IJCAI | Semi-supervised User Profiling with Heterogeneous Graph Attention Networks. | Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang |
| 2019 | IJCAI | Robust Embedding with Multi-Level Structures for Link Prediction. | Zihan Wang, Zhaochun Ren, Chunyu He, Peng Zhang, Yue Hu |
| 2019 | WWW | Improving Outfit Recommendation with Co-supervision of Fashion Generation. | Yujie Lin, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Jun Ma, Maarten de Rijke |
| 2019 | WWW | From Stances' Imbalance to Their HierarchicalRepresentation and Detection. | Qiang Zhang, Shangsong Liang, Aldo Lipani, Zhaochun Ren, Emine Yilmaz |
| 2019 | WSDM | DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. | Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo |
| 2019 | WSDM | Product-Aware Answer Generation in E-Commerce Question-Answering. | Shen Gao, Zhaochun Ren, Yihong Eric Zhao, Dongyan Zhao, Dawei Yin, Rui Yan |
| 2019 | WSDM | Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. | Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong |
| 2018 | ACL | Sequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures. | Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin |
| 2018 | ACL | Knowledge Diffusion for Neural Dialogue Generation. | Shuman Liu, Hongshen Chen, Zhaochun Ren, Yang Feng, Qun Liu, Dawei Yin |
| 2018 | CIKM | Explicit State Tracking with Semi-Supervisionfor Neural Dialogue Generation. | Xisen Jin, Wenqiang Lei, Zhaochun Ren, Hongshen Chen, Shangsong Liang, Yihong Zhao, Dawei Yin |
| 2018 | KDD | Dynamic Embeddings for User Profiling in Twitter. | Shangsong Liang, Xiangliang Zhang, Zhaochun Ren, Evangelos Kanoulas |
| 2018 | WWW | Hierarchical Variational Memory Network for Dialogue Generation. | Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin |
| 2018 | WWW | Manifold Learning for Rank Aggregation. | Shangsong Liang, Ilya Markov, Zhaochun Ren, Maarten de Rijke |
| 2018 | SIGIR | Information Discovery in E-commerce: Half-day SIGIR 2018 Tutorial. | Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke |
| 2018 | WSDM | Multi-Dimensional Network Embedding with Hierarchical Structure. | Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin |
| 2018 | WSDM | A Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce. | Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin |
| 2017 | AAAI | Collaborative User Clustering for Short Text Streams. | Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Evangelos Kanoulas |
| 2017 | AAAI | Salience Estimation via Variational Auto-Encoders for Multi-Document Summarization. | Piji Li, Zihao Wang, Wai Lam, Zhaochun Ren, Lidong Bing |
| 2017 | CIKM | Neural Attentive Session-based Recommendation. | Jing Li, Pengjie Ren, Zhumin Chen, Zhaochun Ren, Tao Lian, Jun Ma |
| 2017 | IJCAI | Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media. | Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua |
| 2017 | WWW | A Concept Language Model for Ad-hoc Retrieval. | Bin Zou, Vasileios Lampos, Shangsong Liang, Zhaochun Ren, Emine Yilmaz, Ingemar J. Cox |
| 2017 | SIGIR | Neural Rating Regression with Abstractive Tips Generation for Recommendation. | Piji Li, Zihao Wang, Zhaochun Ren, Lidong Bing, Wai Lam |
| 2017 | SIGIR | Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. | Pengjie Ren, Zhumin Chen, Zhaochun Ren, Furu Wei, Jun Ma, Maarten de Rijke |
| 2017 | WSDM | Social Collaborative Viewpoint Regression with Explainable Recommendations. | Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke |
| 2017 | WSDM | Summarizing Answers in Non-Factoid Community Question-Answering. | Hongya Song, Zhaochun Ren, Shangsong Liang, Piji Li, Jun Ma, Maarten de Rijke |
| 2016 | CIKM | Time-aware Multi-Viewpoint Summarization of Multilingual Social Text Streams. | Zhaochun Ren, Oana Inel, Lora Aroyo, Maarten de Rijke |
| 2016 | DEXA | Summary Generation for Temporal Extractions. | Yafang Wang, Zhaochun Ren, Martin Theobald, Maximilian Dylla, Gerard de Melo |
| 2016 | SIGIR | Explainable User Clustering in Short Text Streams. | Yukun Zhao, Shangsong Liang, Zhaochun Ren, Jun Ma, Emine Yilmaz, Maarten de Rijke |
| 2015 | SIGIR | Summarizing Contrastive Themes via Hierarchical Non-Parametric Processes. | Zhaochun Ren, Maarten de Rijke |
| 2014 | CIKM | Time-Aware Rank Aggregation for Microblog Search. | Shangsong Liang, Zhaochun Ren, Wouter Weerkamp, Edgar Meij, Maarten de Rijke |
| 2014 | ECIR | The Impact of Semantic Document Expansion on Cluster-Based Fusion for Microblog Search. | Shangsong Liang, Zhaochun Ren, Maarten de Rijke |
| 2014 | KDD | Personalized search result diversification via structured learning. | Shangsong Liang, Zhaochun Ren, Maarten de Rijke |
| 2014 | SIGIR | Fusion helps diversification. | Shangsong Liang, Zhaochun Ren, Maarten de Rijke |
| 2014 | SIGIR | Hierarchical multi-label classification of social text streams. | Zhaochun Ren, Maria-Hendrike Peetz, Shangsong Liang, Willemijn van Dolen, Maarten de Rijke |
| 2013 | SIGIR | Ranking-oriented nearest-neighbor based method for automatic image annotation. | Chaoran Cui, Jun Ma, Tao Lian, Xiaofang Wang, Zhaochun Ren |
| 2013 | SIGIR | Personalized time-aware tweets summarization. | Zhaochun Ren, Shangsong Liang, Edgar Meij, Maarten de Rijke |
| 2012 | CIKM | PRAVDA-live: interactive knowledge harvesting. | Yafang Wang, Maximilian Dylla, Zhaochun Ren, Marc Spaniol, Gerhard Weikum |
| 2011 | CIKM | Summarizing web forum threads based on a latent topic propagation process. | Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu |