An Efficient Approach to Web Services Discovery and Composition when Large Scale Services are Available. - Zhumin Chen; Jun Ma 001; Ling Song 002; Li Lian (APSCC, 2006)

An Efficient Algorithm for Web Services Composition with a Chain Data Structure. - Li Lian; Jun Ma 001; Zhumin Chen; Ling Song 002 (APSCC, 2006)

Fuzzy Similarity from Conceptual Relations. - Ling Song 002; Jun Ma 001; Li Lian; Zhumin Chen (APSCC, 2006)

Improving Flexibility and Reusage of Business Process Management: the Role of Cased-based Reasoning Technique. - Qing Yao; Zhumin Chen; Haiyang Wang (ICEBE, 2006)

An Improved Shark-Search Algorithm Based on Multi-information. - Zhumin Chen; Jun Ma 001; Jingsheng Lei; Bo Yuan; Li Lian (FSKD (4), 2007)

An Effective Relevance Prediction Algorithm Based on Hierarchical Taxonomy for Focused Crawling. - Zhumin Chen; Jun Ma 001; Xiaohui Han; Dongmei Zhang 002 (AIRS, 2008)

Finding and Using the Content Texts of HTML Pages. - Jun Ma 001; Zhumin Chen; Li Lian; Lianxia Li (AIRS, 2008)

A cross-language focused crawling algorithm based on multiple relevance prediction strategies. - Zhumin Chen; Jun Ma 001; Jingsheng Lei; Bo Yuan; Li Lian; Ling Song 002 (Comput. Math. Appl., 2009)

Web page publication time detection and its application for page rank. - Zhumin Chen; Jun Ma 001; Chaoran Cui; Hongxing Rui; Shaomang Huang (SIGIR, 2010)

Cager: a framework for cross-page search. - Zhumin Chen; Byron J. Gao; Qi Kang (CIKM, 2012)

Information-complete and redundancy-free keyword search over large data graphs. - Byron J. Gao; Zhumin Chen; Qi Kang (CIKM, 2012)

Learning to recommend with social relation ensemble. - Lei Guo 008; Jun Ma 001; Zhumin Chen; Haoran Jiang (CIKM, 2012)

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)

Learning to recommend with multi-faceted trust in social networks. - Lei Guo 008; Jun Ma 001; Zhumin Chen (WWW (Companion Volume), 2013)

Popularity Prediction in Microblogging Network. - Shuai Gao; Jun Ma 001; Zhumin Chen (APWeb, 2014)

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)

Effective and effortless features for popularity prediction in microblogging network. - Shuai Gao; Jun Ma 001; Zhumin Chen (WWW (Companion Volume), 2014)

Neighbor sum distinguishing index of planar graphs. - Guanghui Wang 002; Zhumin Chen; Jihui Wang (Discret. Math., 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)

Location Sensitive Friend Recommendation in Social Network. - Xueqin Sui; Zhumin Chen; Jun Ma 001 (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)

Listwise Collaborative Filtering. - Shanshan Huang 003; Shuaiqiang Wang; Tie-Yan Liu; Jun Ma 001; Zhumin Chen; Jari Veijalainen (SIGIR, 2015)

Modeling and Predicting Retweeting Dynamics on Microblogging Platforms. - Shuai Gao; Jun Ma 001; Zhumin Chen (WSDM, 2015)

A Novel Mittag-Leffler Kernel Based Hybrid Fault Diagnosis Method for Wheeled Robot Driving System. - Xianfeng Yuan; Mumin Song; Fengyu Zhou; Zhumin Chen; Yan Li 004 (Comput. Intell. Neurosci., 2015)

A Novel Fast Training Method for SVM and Its Application in Fault Diagnosis of Service Robot. - Xianfeng Yuan; Mumin Song; Fengyu Zhou; Yugang Wang; Zhumin Chen (Int. J. Online Eng., 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)

Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation. - Chaoran Cui; Jun Ma 001; Tao Lian; Zhumin Chen; Shuaiqiang Wang (J. Assoc. Inf. Sci. Technol., 2015)

Social Trust Aware Item Recommendation for Implicit Feedback. - Lei Guo 008; Jun Ma 001; Haoran Jiang; Zhumin Chen; Chang-Ming Xing (J. Comput. Sci. Technol., 2015)

Learning to recommend with social contextual information from implicit feedback. - Lei Guo 008; Jun Ma 001; Zhumin Chen; Huan Zhong (Soft Comput., 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)

Ranking-Oriented Collaborative Filtering: A Listwise Approach. - Shuaiqiang Wang; Shanshan Huang 003; Tie-Yan Liu; Jun Ma 001; Zhumin Chen; Jari Veijalainen (ACM Trans. Inf. Syst., 2016)

The Impact of Profile Coherence on Recommendation Performance for Shared Accounts on Smart TVs. - Tao Lian; Zhengxian Li; Zhumin Chen; Jun Ma 001 (CCIR, 2017)

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

Clothing Matching Based on Multi-modal Data. - Zekun Li 001; Xuemeng Song; Tian Gan; Zhumin Chen; Xiaoyu Zhu (ICIMCS, 2017)

Sentiment Analysis for Social Sensor. - Xiaoyu Zhu; Tian Gan; Xuemeng Song; Zhumin Chen (PCM (1), 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)

Understanding the Pulse of the Online Video Viewing Behavior on Smart TVs. - Tao Lian; Zhumin Chen; Yujie Lin; Jun Ma 001 (SMP, 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)

Social media as sensor in real world: movement trajectory detection with microblog. - Xueqin Sui; Zhumin Chen; Lei Guo 008; Kai Wu; Jun Ma 001; Guanghui Wang 002 (Soft Comput., 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)

A Personal Privacy Preserving Framework: I Let You Know Who Can See What. - Xuemeng Song; Xiang Wang 010; Liqiang Nie; Xiangnan He 001; Zhumin Chen; Wei Liu 005 (SIGIR, 2018)

Network Embedding Based Recommendation Method in Social Networks. - Yufei Wen; Lei Guo 008; Zhumin Chen; Jun Ma 001 (WWW (Companion Volume), 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)

Learning to rank images for complex queries in concept-based search. - Chaoran Cui; Jialie Shen 001; Zhumin Chen; Shuaiqiang Wang; Jun Ma 001 (Neurocomputing, 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)

Temporal patterns of the online video viewing behavior of smart TV viewers. - Tao Lian; Zhumin Chen; Yujie Lin; Jun Ma 001 (J. Assoc. Inf. Sci. Technol., 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)

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)

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)

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)

EmpGAN: Multi-resolution Interactive Empathetic Dialogue Generation. - Qintong Li; Hongshen Chen; Zhaochun Ren; Zhumin Chen; Zhaopeng Tu; Jun Ma 001 (CoRR, 2019)

Neural fashion experts: I know how to make the complementary clothing matching. - Jinhuan Liu; Xuemeng Song; Zhumin Chen; Jun Ma 001 (Neurocomputing, 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)

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

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)

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)

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

Empathetic Dialogue Generation via Knowledge Enhancing and Emotion Dependency Modeling. - Qintong Li; Piji Li; Zhumin Chen; Zhaochun Ren (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)

Evaluating and improving the interpretability of item embeddings using item-tag relevance information. - Tao Lian; Lin Du; Mingfu Zhao; Chaoran Cui; Zhumin Chen; Jun Ma 001 (Frontiers Comput. Sci., 2020)

MGCM: Multi-modal generative compatibility modeling for clothing matching. - Jinhuan Liu; Xuemeng Song; Zhumin Chen; Jun Ma 001 (Neurocomputing, 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)

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)

DCAP: Deep Cross Attentional Product Network for User Response Prediction. - Zekai Chen; Fangtian Zhong; Zhumin Chen; Xiao Zhang 015; Robert Pless; Xiuzhen Cheng 001 (CIKM, 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)

Abstractive Opinion Tagging. - Qintong Li; Piji Li; Xinyi Li 001; Zhaochun Ren; Zhumin Chen; Maarten de Rijke (WSDM, 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)

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)

Information retrieval: a view from the Chinese IR community. - Zhumin Chen; Xueqi Cheng; Shoubin Dong; Zhicheng Dou; Jiafeng Guo; Xuanjing Huang 001; Yanyan Lan; Chenliang Li; Ru Li; Tie-Yan Liu; Yiqun Liu 001; Jun Ma 001; et al. (Frontiers Comput. Sci., 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)

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)

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)

From LSAT: The Progress and Challenges of Complex Reasoning. - Siyuan Wang; Zhongkun Liu; Wanjun Zhong; Ming Zhou 001; Zhongyu Wei; Zhumin Chen; Nan Duan (IEEE ACM Trans. Audio Speech Lang. Process., 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)

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

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)

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)

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)

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

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 Tools: Large Language Model is an Automatic Multi-tool Learner. - Zhengliang Shi; Shen Gao; Xiuyi Chen; Yue Feng 002; Lingyong Yan; Haibo Shi; Dawei Yin; Zhumin Chen; Suzan Verberne; Zhaochun Ren (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)

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)

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 (ACL (Findings), 2025)

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

Towards Maximizing Semantic Coverage for Image-Text Retrieval. - Junhao Xu; Zheng Liu; Zhumin Chen; Fei Shen (ICASSP, 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)

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)

Exploration and Exploitation of Hard Negative Samples for Cross-Domain Sequential Recommendation. - Yidan Wang; Xuri Ge; Xin Chen 091; Ruobing Xie; Su Yan 004; Xu Zhang 028; Zhumin Chen; Jun Ma 001; Xin Xin 003 (WSDM, 2025)

Tool Learning in the Wild: Empowering Language Models as Automatic Tool Agents. - Zhengliang Shi; Shen Gao; Lingyong Yan; Yue Feng 002; Xiuyi Chen; Zhumin Chen; Dawei Yin; Suzan Verberne; Zhaochun Ren (WWW, 2025)

A Cooperative Multi-Agent Framework for Zero-Shot Named Entity Recognition. - Zihan Wang 002; Ziqi Zhao; Yougang Lyu; Zhumin Chen; Maarten de Rijke; Zhaochun Ren (WWW, 2025)

CSA: Cross-scale alignment with adaptive semantic aggregation and filter for image-text retrieval. - Zheng Liu; Junhao Xu; Shanshan Gao; Zhumin Chen (Pattern Recognit., 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)

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)

Cognitive Debiasing Large Language Models for Decision-Making. - Yougang Lyu; Shijie Ren; Yue Feng 002; Zihan Wang 002; Zhumin Chen; Zhaochun Ren; Maarten de Rijke (CoRR, 2025)

Joint Flashback Adaptation for Forgetting-Resistant Instruction Tuning. - Yukun Zhao; Lingyong Yan; Zhenyang Li; Shuaiqiang Wang; Zhumin Chen; Zhaochun Ren; Dawei Yin (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)