Understanding Temporal Intent of User Query Based on Time-Based Query Classification. - Pengjie Ren; Zhumin Chen; Xiaomeng Song; Bin Li; Haopeng Yang; Jun Ma 001 (NLPCC, 2013)

Social Media as Sensor in Real World: Geolocate User with Microblog. - Xueqin Sui; Zhumin Chen; Kai Wu; Pengjie Ren; Jun Ma 001; Fengyu Zhou (NLPCC, 2014)

Learning Similarity Functions for Urban Events Detection by Mining Hotline Phone Records. - Pengjie Ren; Peng Liu; Zhumin Chen; Jun Ma 001; Xiaomeng Song (APWeb, 2015)

Sleep Quality Evaluation of Active Microblog Users. - Kai Wu; Jun Ma 001; Zhumin Chen; Pengjie Ren (APWeb, 2015)

Analysis of Subjective City Happiness Index Based on Large Scale Microblog Data. - Kai Wu; Jun Ma 001; Zhumin Chen; Pengjie Ren (APWeb, 2015)

Mining and ranking users' intents behind queries. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Shuaiqiang Wang; Zhiwei Zhang; Zhaochun Ren (Inf. Retr. J., 2015)

A Redundancy-Aware Sentence Regression Framework for Extractive Summarization. - Pengjie Ren; Furu Wei; Zhumin Chen; Jun Ma 001; Ming Zhou 001 (COLING, 2016)

Supervised Local Contexts Aggregation for Effective Session Search. - Zhiwei Zhang; Jingang Wang; Tao Wu 019; Pengjie Ren; Zhumin Chen; Luo Si (ECIR, 2016)

Neural Attentive Session-based Recommendation. - Jing Li; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Tao Lian; Jun Ma 001 (CIKM, 2017)

Entity Linking for Queries by Searching Wikipedia Sentences. - Chuanqi Tan; Furu Wei; Pengjie Ren; Weifeng Lv; Ming Zhou 001 (EMNLP, 2017)

Leveraging Contextual Sentence Relations for Extractive Summarization Using a Neural Attention Model. - Pengjie Ren; Zhumin Chen; Zhaochun Ren; Furu Wei; Jun Ma 001; Maarten de Rijke (SIGIR, 2017)

Neural Attentive Session-based Recommendation. - Jing Li; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Jun Ma 001 (CoRR, 2017)

Detecting temporal patterns of user queries. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhiwei Zhang; Luo Si; Shuaiqiang Wang (J. Assoc. Inf. Sci. Technol., 2017)

Relation Enhanced Neural Model for Type Classification of Entity Mentions with a Fine-Grained Taxonomy. - Kai-Yuan Cui; Pengjie Ren; Zhumin Chen; Tao Lian; Jun Ma 001 (J. Comput. Sci. Technol., 2017)

An Attentive Interaction Network for Context-aware Recommendations. - Lei Mei; Pengjie Ren; Zhumin Chen; Liqiang Nie; Jun Ma 001; Jian-Yun Nie (CIKM, 2018)

Explainable Fashion Recommendation with Joint Outfit Matching and Comment Generation. - Yujie Lin; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (CoRR, 2018)

User session level diverse reranking of search results. - Pengjie Ren; Zhumin Chen; Jun Ma 001; Shuaiqiang Wang; Zhiwei Zhang; Zhaochun Ren; Tinghuai Ma (Neurocomputing, 2018)

Sentence Relations for Extractive Summarization with Deep Neural Networks. - Pengjie Ren; Zhumin Chen; Zhaochun Ren; Furu Wei; Liqiang Nie; Jun Ma 001; Maarten de Rijke (ACM Trans. Inf. Syst., 2018)

RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation. - Pengjie Ren; Zhumin Chen; Jing Li; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (AAAI, 2019)

Order-free Medicine Combination Prediction with Graph Convolutional Reinforcement Learning. - Shanshan Wang; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (CIKM, 2019)

A Multi-granularity Neural Network for Answer Sentence Selection. - Chenggong Zhang; Weijuan Zhang; Daren Zha; Pengjie Ren; Nan Mu (IJCNN, 2019)

Bayesian Personalized Feature Interaction Selection for Factorization Machines. - Yifan Chen 003; Pengjie Ren; Yang Wang 023; Maarten de Rijke (SIGIR, 2019)

π-Net: A Parallel Information-sharing Network for Shared-account Cross-domain Sequential Recommendations. - Muyang Ma; Pengjie Ren; Yujie Lin; Zhumin Chen; Jun Ma 001; Maarten de Rijke (SIGIR, 2019)

A Collaborative Session-based Recommendation Approach with Parallel Memory Modules. - Meirui Wang; Pengjie Ren; Lei Mei; Zhumin Chen; Jun Ma 001; Maarten de Rijke (SIGIR, 2019)

ILPS at TREC 2019 Conversational Assistant Track. - Nikos Voskarides; Dan Li 015; Andreas Panteli; Pengjie Ren (TREC, 2019)

Improving Neural Response Diversity with Frequency-Aware Cross-Entropy Loss. - Shaojie Jiang; Pengjie Ren; Christof Monz; Maarten de Rijke (WWW, 2019)

Improving Outfit Recommendation with Co-supervision of Fashion Generation. - Yujie Lin; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (WWW, 2019)

Multi-resolution representation with recurrent neural networks application for streaming time series in IoT. - Yupeng Hu; Pengjie Ren; Wei Luo; Peng Zhan; Xueqing Li (Comput. Networks, 2019)

Improving Background Based Conversation with Context-aware Knowledge Pre-selection. - Yangjun Zhang; Pengjie Ren; Maarten de Rijke (CoRR, 2019)

A Modular Task-oriented Dialogue System Using a Neural Mixture-of-Experts. - Jiahuan Pei; Pengjie Ren; Maarten de Rijke (CoRR, 2019)

Improving End-to-End Sequential Recommendations with Intent-aware Diversification. - Wanyu Chen; Pengjie Ren; Fei Cai; Maarten de Rijke (CoRR, 2019)

Parallel Split-Join Networks for Shared-account Cross-domain Sequential Recommendations. - Pengjie Ren; Yujie Lin; Muyang Ma; Zhumin Chen; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (CoRR, 2019)

From Personalization to Privatization: Meta Matrix Factorization for Private Rating Predictions. - Yujie Lin; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Dongxiao Yu; Jun Ma 001; Maarten de Rijke; Xiuzhen Cheng 001 (CoRR, 2019)

RefNet: A Reference-Aware Network for Background Based Conversation. - Chuan Meng; Pengjie Ren; Zhumin Chen; Christof Monz; Jun Ma 001; Maarten de Rijke (AAAI, 2020)

Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation. - Pengjie Ren; Zhumin Chen; Christof Monz; Jun Ma 001; Maarten de Rijke (AAAI, 2020)

Improving End-to-End Sequential Recommendations with Intent-aware Diversification. - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun 001; Maarten de Rijke (CIKM, 2020)

EmpDG: Multi-resolution Interactive Empathetic Dialogue Generation. - Qintong Li; Hongshen Chen; Zhaochun Ren; Pengjie Ren; Zhaopeng Tu; Zhumin Chen (COLING, 2020)

Retrospective and Prospective Mixture-of-Generators for Task-Oriented Dialogue Response Generation. - Jiahuan Pei; Pengjie Ren; Christof Monz; Maarten de Rijke (ECAI, 2020)

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 001 (ECAI, 2020)

AIIS: The SIGIR 2020 Workshop on Applied Interactive Information Systems. - Hongshen Chen; Zhaochun Ren; Pengjie Ren; Dawei Yin; Xiaodong He 001 (SIGIR, 2020)

Meta Matrix Factorization for Federated Rating Predictions. - Yujie Lin; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Dongxiao Yu; Jun Ma 001; Maarten de Rijke; Xiuzhen Cheng 001 (SIGIR, 2020)

DukeNet: A Dual Knowledge Interaction Network for Knowledge-Grounded Conversation. - Chuan Meng; Pengjie Ren; Zhumin Chen; Weiwei Sun 001; Zhaochun Ren; Zhaopeng Tu; Maarten de Rijke (SIGIR, 2020)

Query Resolution for Conversational Search with Limited Supervision. - Nikos Voskarides; Dan Li 015; Pengjie Ren; Evangelos Kanoulas; Maarten de Rijke (SIGIR, 2020)

Coding Electronic Health Records with Adversarial Reinforcement Path Generation. - Shanshan Wang; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Jian-Yun Nie; Jun Ma 001; Maarten de Rijke (SIGIR, 2020)

NLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations. - Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin; Maarten de Rijke (WSDM, 2020)

Conversations with Search Engines. - Pengjie Ren; Zhumin Chen; Zhaochun Ren; Evangelos Kanoulas; Christof Monz; Maarten de Rijke (CoRR, 2020)

Attribute-aware Diversification for Sequential Recommendations. - Anton Steenvoorden; Emanuele Di Gloria; Wanyu Chen; Pengjie Ren; Maarten de Rijke (CoRR, 2020)

Diversifying Task-oriented Dialogue Response Generation with Prototype Guided Paraphrasing. - Phillip Lippe; Pengjie Ren; Hinda Haned; Bart Voorn; Maarten de Rijke (CoRR, 2020)

Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology. - Yangjun Zhang; Pengjie Ren; Maarten de Rijke (CoRR, 2020)

Mixed Information Flow for Cross-domain Sequential Recommendations. - Muyang Ma; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Lifan Zhao; Jun Ma 001; Maarten de Rijke (CoRR, 2020)

Report on the international workshop on natural language processing for recommendations (NLP4REC 2020) workshop held at WSDM 2020. - Xiao Huang 001; Pengjie Ren; Zhaochun Ren; Fei Sun 001; Xiangnan He 001; Dawei Yin; Maarten de Rijke (SIGIR Forum, 2020)

Explainable Outfit Recommendation with Joint Outfit Matching and Comment Generation. - Yujie Lin; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2020)

Learning to Ask Conversational Questions by Optimizing Levenshtein Distance. - Zhongkun Liu; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Maarten de Rijke; Ming Zhou 001 (ACL/IJCNLP (1), 2021)

A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues. - Yangjun Zhang; Pengjie Ren; Maarten de Rijke (ACL/IJCNLP (1), 2021)

Membership Inference Attacks Against Recommender Systems. - Minxing Zhang; Zhaochun Ren; Zihan Wang 002; Pengjie Ren; Zhumin Chen; Pengfei Hu 001; Yang Zhang 016 (CCS, 2021)

Semi-Supervised Variational Reasoning for Medical Dialogue Generation. - Dongdong Li; Zhaochun Ren; Pengjie Ren; Zhumin Chen; Miao Fan; Jun Ma 001; Maarten de Rijke (SIGIR, 2021)

Initiative-Aware Self-Supervised Learning for Knowledge-Grounded Conversations. - Chuan Meng; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Tengxiao Xi; Maarten de Rijke (SIGIR, 2021)

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 (SIGIR, 2021)

Simulating User Satisfaction for the Evaluation of Task-oriented Dialogue Systems. - Weiwei Sun 001; Shuo Zhang 006; Krisztian Balog; Zhaochun Ren; Pengjie Ren; Zhumin Chen; Maarten de Rijke (SIGIR, 2021)

Conversations Powered by Cross-Lingual Knowledge. - Weiwei Sun 001; Chuan Meng; Qi Meng; Zhaochun Ren; Pengjie Ren; Zhumin Chen; Maarten de Rijke (SIGIR, 2021)

Cross-Domain Contract Element Extraction with a Bi-directional Feedback Clause-Element Relation Network. - Zihan Wang 002; Hongye Song; Zhaochun Ren; Pengjie Ren; Zhumin Chen; Xiaozhong Liu; Hongsong Li; Maarten de Rijke (SIGIR, 2021)

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 (WWW, 2021)

A Cooperative Memory Network for Personalized Task-oriented Dialogue Systems with Incomplete User Profiles. - Jiahuan Pei; Pengjie Ren; Maarten de Rijke (WWW, 2021)

Few-Shot Electronic Health Record Coding through Graph Contrastive Learning. - Shanshan Wang; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Huasheng Liang; Qiang Yan 001; Evangelos Kanoulas; Maarten de Rijke (CoRR, 2021)

M^2-MedDialog: A Dataset and Benchmarks for Multi-domain Multi-service Medical Dialogues. - Guojun Yan; Jiahuan Pei; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Huasheng Liang (CoRR, 2021)

A taxonomy, data set, and benchmark for detecting and classifying malevolent dialogue responses. - Yangjun Zhang; Pengjie Ren; Maarten de Rijke (J. Assoc. Inf. Sci. Technol., 2021)

Conversations with Search Engines: SERP-based Conversational Response Generation. - Pengjie Ren; Zhumin Chen; Zhaochun Ren; Evangelos Kanoulas; Christof Monz; Maarten de Rijke (ACM Trans. Inf. Syst., 2021)

Knowledge Bridging for Empathetic Dialogue Generation. - Qintong Li; Piji Li; Zhaochun Ren; Pengjie Ren; Zhumin Chen (AAAI, 2022)

Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement. - Yangjun Zhang; Pengjie Ren; Wentao Deng; Zhumin Chen; Maarten de Rijke (ACL (1), 2022)

Debiasing Learning for Membership Inference Attacks Against Recommender Systems. - Zihan Wang 002; Na Huang; Fei Sun 001; Pengjie Ren; Zhumin Chen; Hengliang Luo; Maarten de Rijke; Zhaochun Ren (KDD, 2022)

Variational Reasoning about User Preferences for Conversational Recommendation. - Zhaochun Ren; Zhi Tian; Dongdong Li; Pengjie Ren; Liu Yang; Xin Xin 003; Huasheng Liang; Maarten de Rijke; Zhumin Chen (SIGIR, 2022)

Rethinking Reinforcement Learning for Recommendation: A Prompt Perspective. - Xin Xin 003; Tiago Pimentel; Alexandros Karatzoglou; Pengjie Ren; Konstantina Christakopoulou; Zhaochun Ren (SIGIR, 2022)

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues. - Guojun Yan; Jiahuan Pei; Pengjie Ren; Zhaochun Ren; Xin Xin 003; Huasheng Liang; Maarten de Rijke; Zhumin Chen (SIGIR, 2022)

Personalized Abstractive Opinion Tagging. - Mengxue Zhao; Yang Yang 129; Miao Li; Jingang Wang; Wei Wu 014; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (SIGIR, 2022)

Improving Conversational Recommender Systems via Transformer-based Sequential Modelling. - Jie Zou; Evangelos Kanoulas; Pengjie Ren; Zhaochun Ren; Aixin Sun; Cheng Long 001 (SIGIR, 2022)

Bayesian feature interaction selection for factorization machines. - Yifan Chen 003; Yang Wang 023; Pengjie Ren; Meng Wang 001; Maarten de Rijke (Artif. Intell., 2022)

Paying More Attention to Self-attention: Improving Pre-trained Language Models via Attention Guiding. - Shanshan Wang; Zhumin Chen; Zhaochun Ren; Huasheng Liang; Qiang Yan 001; Pengjie Ren (CoRR, 2022)

Improving legal judgment prediction through reinforced criminal element extraction. - Yougang Lyu; Zihan Wang 002; Zhaochun Ren; Pengjie Ren; Zhumin Chen; Xiaozhong Liu; Yujun Li; Hongsong Li; Hongye Song (Inf. Process. Manag., 2022)

Mixed Information Flow for Cross-Domain Sequential Recommendations. - Muyang Ma; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Lifan Zhao; Peiyu Liu 001; Jun Ma 001; Maarten de Rijke (ACM Trans. Knowl. Discov. Data, 2022)

Multi-interest Diversification for End-to-end Sequential Recommendation. - Wanyu Chen; Pengjie Ren; Fei Cai; Fei Sun 001; Maarten de Rijke (ACM Trans. Inf. Syst., 2022)

Feature-Level Debiased Natural Language Understanding. - Yougang Lyu; Piji Li; Yechang Yang; Maarten de Rijke; Pengjie Ren; Yukun Zhao; Dawei Yin; Zhaochun Ren (AAAI, 2023)

Contrastive Learning Reduces Hallucination in Conversations. - Weiwei Sun 001; Zhengliang Shi; Shen Gao; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (AAAI, 2023)

UMSE: Unified Multi-scenario Summarization Evaluation. - Shen Gao; Zhitao Yao; Chongyang Tao; Xiuying Chen; Pengjie Ren; Zhaochun Ren; Zhumin Chen (ACL (Findings), 2023)

RADE: Reference-Assisted Dialogue Evaluation for Open-Domain Dialogue. - Zhengliang Shi; Weiwei Sun 001; Shuo Zhang 006; Zhen Zhang; Pengjie Ren; Zhaochun Ren (ACL (1), 2023)

Answering Ambiguous Questions via Iterative Prompting. - Weiwei Sun 001; Hengyi Cai; Hongshen Chen; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (ACL (1), 2023)

Iteratively Learning Representations for Unseen Entities with Inter-Rule Correlations. - Zihan Wang 002; Kai Zhao; Yongquan He; Zhumin Chen; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (CIKM, 2023)

Generative Knowledge Selection for Knowledge-Grounded Dialogues. - Weiwei Sun 001; Pengjie Ren; Zhaochun Ren (EACL (Findings), 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. - Weiwei Sun 001; Lingyong Yan; Xinyu Ma; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin; Zhaochun Ren (EMNLP, 2023)

Syllogistic Reasoning for Legal Judgment Analysis. - Wentao Deng; Jiahuan Pei; Keyi Kong; Zhe Chen; Furu Wei; Yujun Li; Zhaochun Ren; Zhumin Chen; Pengjie Ren (EMNLP, 2023)

Multi-Defendant Legal Judgment Prediction via Hierarchical Reasoning. - Yougang Lyu; Jitai Hao; Zihan Wang 002; Kai Zhao; Shen Gao; Pengjie Ren; Zhumin Chen; Fang Wang; Zhaochun Ren (EMNLP (Findings), 2023)

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 (EMNLP (Findings), 2023)

Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features. - Zihan Wang 002; Ziqi Zhao; Zhumin Chen; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (EMNLP (Findings), 2023)

Learning to Tokenize for Generative Retrieval. - Weiwei Sun 001; Lingyong Yan; Zheng Chen; Shuaiqiang Wang; Haichao Zhu; Pengjie Ren; Zhumin Chen; Dawei Yin; Maarten de Rijke; Zhaochun Ren (NeurIPS, 2023)

Improving Implicit Feedback-Based Recommendation through Multi-Behavior Alignment. - Xin Xin 003; Xiangyuan Liu; Hanbing Wang; Pengjie Ren; Zhumin Chen; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Joemon M. Jose; Maarten de Rijke; Zhaochun Ren (SIGIR, 2023)

Towards Explainable Conversational Recommender Systems. - Shuyu Guo; Shuo Zhang 006; Weiwei Sun 001; Pengjie Ren; Zhumin Chen; Zhaochun Ren (SIGIR, 2023)

Contrastive State Augmentations for Reinforcement Learning-Based Recommender Systems. - Zhaochun Ren; Na Huang; Yidan Wang; Pengjie Ren; Jun Ma 001; Jiahuan Lei; Xinlei Shi; Hengliang Luo; Joemon M. Jose; Xin Xin 003 (SIGIR, 2023)

Variational Reasoning over Incomplete Knowledge Graphs for Conversational Recommendation. - Xiaoyu Zhang; Xin Xin 003; Dongdong Li; Wenxuan Liu; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (WSDM, 2023)

A Self-Correcting Sequential Recommender. - Yujie Lin; Chenyang Wang; Zhumin Chen; Zhaochun Ren; Xin Xin 003; Qiang Yan 001; Maarten de Rijke; Xiuzhen Cheng 001; Pengjie Ren (WWW, 2023)

Modeling Sequential Recommendation as Missing Information Imputation. - Yujie Lin; Zhumin Chen; Zhaochun Ren; Chenyang Wang; Qiang Yan 001; Maarten de Rijke; Xiuzhen Cheng 001; Pengjie Ren (CoRR, 2023)

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent. - Weiwei Sun 001; Lingyong Yan; Xinyu Ma; Pengjie Ren; Dawei Yin; Zhaochun Ren (CoRR, 2023)

Intent-calibrated Self-training for Answer Selection in Open-domain Dialogues. - Wentao Deng; Jiahuan Pei; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2023)

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. - Shen Gao; Zhengliang Shi; Minghang Zhu; Bowen Fang; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001 (CoRR, 2023)

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. - Weiwei Sun 001; Zheng Chen; Xinyu Ma; Lingyong Yan; Shuaiqiang Wang; Pengjie Ren; Zhumin Chen; Dawei Yin; Zhaochun Ren (CoRR, 2023)

On the User Behavior Leakage from Recommender System Exposure. - Xin Xin 003; Jiyuan Yang; Hanbing Wang; Jun Ma 001; Pengjie Ren; Hengliang Luo; Xinlei Shi; Zhumin Chen; Zhaochun Ren (ACM Trans. Inf. Syst., 2023)

Improving Transformer-based Sequential Recommenders through Preference Editing. - Muyang Ma; Pengjie Ren; Zhumin Chen; Zhaochun Ren; Huasheng Liang; Jun Ma 001; Maarten de Rijke (ACM Trans. Inf. Syst., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Parallel Split-Join Networks for Shared Account Cross-Domain Sequential Recommendations. - Wenchao Sun; Muyang Ma; Pengjie Ren; Yujie Lin; Zhumin Chen; Zhaochun Ren; Jun Ma 001; Maarten de Rijke (IEEE Trans. Knowl. Data Eng., 2023)

Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum. - Shen Gao; Zhengliang Shi; Minghang Zhu; Bowen Fang; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (AAAI, 2024)

MEFT: Memory-Efficient Fine-Tuning through Sparse Adapter. - Jitai Hao; Weiwei Sun 001; Xin Xin 003; Qi Meng; Zhumin Chen; Pengjie Ren; Zhaochun Ren (ACL (1), 2024)

Self-Supervised Position Debiasing for Large Language Models. - Zhongkun Liu; Zheng Chen; Mengqi Zhang; Zhaochun Ren; Pengjie Ren; Zhumin Chen (ACL (Findings), 2024)

Autonomous Workflow for Multimodal Fine-Grained Training Assistants Towards Mixed Reality. - Jiahuan Pei; Irene Viola 001; Haochen Huang; Junxiao Wang; Moonisa Ahsan; Fanghua Ye 001; Yiming Jiang 017; Yao Sai; Di Wang 015; Zhumin Chen; Pengjie Ren; Pablo César (ACL (Findings), 2024)

MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. - Pengjie Ren; Chengshun Shi; Shiguang Wu 003; Mengqi Zhang; Zhaochun Ren; Maarten de Rijke; Zhumin Chen; Jiahuan Pei (ACL (1), 2024)

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering. - Zhengliang Shi; Shuo Zhang 006; Weiwei Sun 001; Shen Gao; Pengjie Ren; Zhumin Chen; Zhaochun Ren (ACL (1), 2024)

Content-Based Collaborative Generation for Recommender Systems. - Yidan Wang; Zhaochun Ren; Weiwei Sun 001; Jiyuan Yang; Zhixiang Liang; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Pengjie Ren; Zhumin Chen; Xin Xin 003 (CIKM, 2024)

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 (EMNLP, 2024)

Learning to Use Tools via Cooperative and Interactive Agents. - Zhengliang Shi; Shen Gao; Xiuyi Chen; Yue Feng 002; Lingyong Yan; Haibo Shi; Dawei Yin; Pengjie Ren; Suzan Verberne; Zhaochun Ren (EMNLP (Findings), 2024)

Knowledge Graph Enhanced Large Language Model Editing. - Mengqi Zhang; Xiaotian Ye; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen (EMNLP, 2024)

Towards Empathetic Conversational Recommender Systems. - Xiaoyu Zhang; Ruobing Xie; Yougang Lyu; Xin Xin 003; Pengjie Ren; Mingfei Liang; Bo Zhang 056; Zhanhui Kang; Maarten de Rijke; Zhaochun Ren (RecSys, 2024)

Generative Retrieval as Multi-Vector Dense Retrieval. - Shiguang Wu 003; Wenda Wei; Mengqi Zhang; Zhumin Chen; Jun Ma 001; Zhaochun Ren; Maarten de Rijke; Pengjie Ren (SIGIR, 2024)

On the Effectiveness of Unlearning in Session-Based Recommendation. - Xin Xin 003; Liu Yang; Ziqi Zhao; Pengjie Ren; Zhumin Chen; Jun Ma 001; Zhaochun Ren (WSDM, 2024)

Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. - Jiyuan Yang; Yue Ding 001; Yidan Wang; Pengjie Ren; Zhumin Chen; Fei Cai; Jun Ma 001; Rui Zhang 003; Zhaochun Ren; Xin Xin 003 (WSDM, 2024)

Generative News Recommendation. - Shen Gao; Jiabao Fang; Quan Tu; Zhitao Yao; Zhumin Chen; Pengjie Ren; Zhaochun Ren (WWW, 2024)

Zero-Shot Position Debiasing for Large Language Models. - Zhongkun Liu; Zheng Chen; Mengqi Zhang; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2024)

A Multi-Agent Conversational Recommender System. - Jiabao Fang; Shen Gao; Pengjie Ren; Xiuying Chen; Suzan Verberne; Zhaochun Ren (CoRR, 2024)

Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning. - Pengjie Ren; Chengshun Shi; Shiguang Wu 003; Mengqi Zhang; Zhaochun Ren; Maarten de Rijke; Zhumin Chen; Jiahuan Pei (CoRR, 2024)

Learning to Use Tools via Cooperative and Interactive Agents. - Zhengliang Shi; Shen Gao; Xiuyi Chen; Lingyong Yan; Haibo Shi; Dawei Yin; Zhumin Chen; Pengjie Ren; Suzan Verberne; Zhaochun Ren (CoRR, 2024)

Uncovering Selective State Space Model's Capabilities in Lifelong Sequential Recommendation. - Jiyuan Yang; Yuanzi Li; Jingyu Zhao; Hanbing Wang; Muyang Ma; Jun Ma 001; Zhaochun Ren; Mengqi Zhang; Xin Xin 003; Zhumin Chen; Pengjie Ren (CoRR, 2024)

Enhanced Generative Recommendation via Content and Collaboration Integration. - Yidan Wang; Zhaochun Ren; Weiwei Sun 001; Jiyuan Yang; Zhixiang Liang; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Pengjie Ren; Zhumin Chen; Xin Xin 003 (CoRR, 2024)

Offline Trajectory Generalization for Offline Reinforcement Learning. - Ziqi Zhao; Zhaochun Ren; Liu Yang; Fajie Yuan; Pengjie Ren; Zhumin Chen; Jun Ma 001; Xin Xin 003 (CoRR, 2024)

Chain-of-Strategy Planning with LLMs: Aligning the Generation of Psychotherapy Dialogue with Strategy in Motivational Interviewing. - Xin Sun 016; Xiao Tang; Abdallah El Ali; Zhuying Li; Xiaoyu Shen; Pengjie Ren; Jan de Wit; Jiahuan Pei; Jos A. Bosch (CoRR, 2024)

Beyond Local Views: Global State Inference with Diffusion Models for Cooperative Multi-Agent Reinforcement Learning. - Zhiwei Xu 005; Hangyu Mao; Nianmin Zhang; Xin Xin 003; Pengjie Ren; Dapeng Li 001; Bin Zhang 052; Guoliang Fan; Zhumin Chen; Changwei Wang 001; Jiangjin Yin (CoRR, 2024)

Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing. - Mengqi Zhang; Bowen Fang; Qiang Liu 006; Pengjie Ren; Shu Wu; Zhumin Chen; Liang Wang 001 (CoRR, 2024)

ASLoRA: Adaptive Sharing Low-Rank Adaptation Across Layers. - Junyan Hu; Xue Xiao; Mengqi Zhang; Yao Chen; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2024)

Metaphorical User Simulators for Evaluating Task-oriented Dialogue Systems. - Weiwei Sun 001; Shuyu Guo; Shuo Zhang 006; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (ACM Trans. Inf. Syst., 2024)

Center-retained fine-tuning for conversational question ranking through unsupervised center identification. - Zhongkun Liu; Zhumin Chen; Zhaochun Ren; Shen Gao; Jun Ma 001; Pengjie Ren (Inf. Process. Manag., 2024)

Diversifying Sequential Recommendation with Retrospective and Prospective Transformers. - Chaoyu Shi; Pengjie Ren; Dongjie Fu; Xin Xin 003; Shansong Yang; Fei Cai; Zhaochun Ren; Zhumin Chen (ACM Trans. Inf. Syst., 2024)

Mixture-of-Languages Routing for Multilingual Dialogues. - Jiahuan Pei; Guojun Yan; Maarten de Rijke; Pengjie Ren (ACM Trans. Inf. Syst., 2024)

ExcluIR: Exclusionary Neural Information Retrieval. - Wenhao Zhang; Mengqi Zhang; Shiguang Wu 003; Jiahuan Pei; Zhaochun Ren; Maarten de Rijke; Zhumin Chen; Pengjie Ren (AAAI, 2025)

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 (ACL (Findings), 2025)

SLARD: A Chinese Superior Legal Article Retrieval Dataset. - Zhe Chen; Pengjie Ren; Fuhui Sun; Xiaoyan Wang; Yujun Li; Siwen Zhao; Tengyi Yang (COLING, 2025)

Rethinking the Alignment of Psychotherapy Dialogue Generation with Motivational Interviewing Strategies. - Xin Sun 016; Xiao Tang; Abdallah El Ali; Zhuying Li; Pengjie Ren; Jan de Wit; Jiahuan Pei; Jos A. Bosch (COLING, 2025)

Malevolence Attacks Against Pretrained Dialogue Models. - Pengjie Ren; Ruiqi Li; Zhaochun Ren; Zhumin Chen; Maarten de Rijke; Yangjun Zhang (ECIR (1), 2025)

MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization. - Yougang Lyu; Lingyong Yan; Zihan Wang 002; Dawei Yin; Pengjie Ren; Maarten de Rijke; Zhaochun Ren (ICLR, 2025)

Uncovering Overfitting in Large Language Model Editing. - Mengqi Zhang; Xiaotian Ye; Qiang Liu 006; Shu Wu; Pengjie Ren; Zhumin Chen (ICLR, 2025)

Constrained Auto-Regressive Decoding Constrains Generative Retrieval. - Shiguang Wu 003; Zhaochun Ren; Xin Xin 003; Jiyuan Yang; Mengqi Zhang; Zhumin Chen; Maarten de Rijke; Pengjie Ren (SIGIR, 2025)

Triplet Contrastive Learning with Learnable Sequence Augmentation for Sequential Recommendation. - Wei Wang 375; Yujie Lin; Moyan Zhang; Hongyu Lu; Jianli Zhao 002; Jie Sun; Xianye Ben; Pengjie Ren; Yujun Li (SIGIR, 2025)

Replication and Exploration of Generative Retrieval over Dynamic Corpora. - Zhen Zhang; Xinyu Ma; Weiwei Sun 001; Pengjie Ren; Zhumin Chen; Shuaiqiang Wang; Dawei Yin; Maarten de Rijke; Zhaochun Ren (SIGIR, 2025)

Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure. - Ziqi Zhao; Zhaochun Ren; Jiyuan Yang; Zuming Yan; Zihan Wang 002; Liu Yang; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Xin Xin 003 (SIGIR, 2025)

Learning Robust Sequential Recommenders through Confident Soft Labels. - Shiguang Wu 003; Xin Xin 003; Pengjie Ren; Zhumin Chen; Jun Ma 001; Maarten de Rijke; Zhaochun Ren (ACM Trans. Inf. Syst., 2025)

UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets. - Wenyu Wang; Mengqi Zhang; Xiaotian Ye; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2025)

Learnable Sequence Augmenter for Triplet Contrastive Learning in Sequential Recommendation. - Wei Wang 375; Yujie Lin; Jianli Zhao 002; Moyan Zhang; Pengjie Ren; Xianye Ben; Yujun Li (CoRR, 2025)

Privacy-Preserving Sequential Recommendation with Collaborative Confusion. - Wei Wang 375; Yujie Lin; Pengjie Ren; Zhumin Chen; Tsunenori Mine; Jianli Zhao 002; Qiang Zhao 011; Moyan Zhang; Xianye Ben; Yujun Li (ACM Trans. Inf. Syst., 2025)

Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot Control. - Haochen Wang; Zhiwei Shi; Chengxi Zhu; Yafei Qiao; Cheng Zhang; Fan Yang; Pengjie Ren; Lan Lu; Dong Xuan (CoRR, 2025)

Direct Retrieval-augmented Optimization: Synergizing Knowledge Selection and Language Models. - Zhengliang Shi; Lingyong Yan; Weiwei Sun 001; Yue Feng 002; Pengjie Ren; Xinyu Ma; Shuaiqiang Wang; Dawei Yin; Maarten de Rijke; Zhaochun Ren (CoRR, 2025)

Disentangling Knowledge Representations for Large Language Model Editing. - Mengqi Zhang; Zisheng Zhou; Xiaotian Ye; Qiang Liu 006; Zhaochun Ren; Zhumin Chen; Pengjie Ren (CoRR, 2025)

Graph-Enhanced Prompt Learning for Cross-Domain Contract Element Extraction. - Zihan Wang 002; Hanbing Wang; Pengjie Ren; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (ACM Trans. Inf. Syst., 2025)

Trustworthy Medical Question Answering: An Evaluation-Centric Survey. - Yinuo Wang; Robert E. Mercer; Frank Rudzicz; Sudipta Singha Roy; Pengjie Ren; Zhumin Chen; Xindi Wang 001 (CoRR, 2025)

Evolution without Large Models: Training Language Model with Task Principles. - Minghang Zhu; Shen Gao; Zhengliang Shi; Jiabao Fang; Pengjie Ren; Zhaochun Ren; Zhumin Chen; Shuo Shang (CoRR, 2025)

Curriculum Approximate Unlearning for Session-based Recommendation. - Liu Yang; Zhaochun Ren; Ziqi Zhao; Pengjie Ren; Zhumin Chen; Xinyi Li 001; Shuaiqiang Wang; Dawei Yin; Xin Xin 003 (CoRR, 2025)

Custom training data: Aligning model distribution via Prefix-Guided Preference Data Synthesis. - Zhe Chen; Feng Qiao; Hailong Chen; Wenzhen Zhang; Pengjie Ren; Sen Lin; Jie Sun; Yujun Li (Inf. Process. Manag., 2026)