Investigating Characteristics of Non-click Behavior Using Query Logs. - Ting Yao 004; Min Zhang 006; Yiqun Liu 001; Shaoping Ma; Yongfeng Zhang 003; Liyun Ru (AIRS, 2010)

A general collaborative filtering framework based on matrix bordered block diagonal forms. - Yongfeng Zhang 003; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (HT, 2013)

A Unified Framework for Emotional Elements Extraction Based on Finite State Matching Machine. - Yunzhi Tan; Yongfeng Zhang 003; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (NLPCC, 2013)

Improve collaborative filtering through bordered block diagonal form matrices. - Yongfeng Zhang 003; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (SIGIR, 2013)

Localized matrix factorization for recommendation based on matrix block diagonal forms. - Yongfeng Zhang 003; Min Zhang 006; Yiqun Liu 001; Shaoping Ma; Shi Feng (WWW, 2013)

Understanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables. - Yongfeng Zhang 003; Min Zhang 006; Yi Zhang 001; Yiqun Liu 001; Shaoping Ma (CIKM, 2014)

Explicit factor models for explainable recommendation based on phrase-level sentiment analysis. - Yongfeng Zhang 003; Guokun Lai; Min Zhang 006; Yi Zhang 001; Yiqun Liu 001; Shaoping Ma (SIGIR, 2014)

Do users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification. - Yongfeng Zhang 003; Haochen Zhang; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (SIGIR, 2014)

Task-based recommendation on a web-scale. - Yongfeng Zhang 003; Min Zhang 006; Yiqun Liu 001; Tat-Seng Chua; Yi Zhang 001; Shaoping Ma (IEEE BigData, 2015)

Catch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation. - Yongfeng Zhang 003; Yunzhi Tan; Min Zhang 006; Yiqun Liu 001; Tat-Seng Chua; Shaoping Ma (IJCAI, 2015)

Exploration of Semantic-aware Approach for Contextual Suggestion Using Knowledge from The Open Web. - Yuan Wang; Jie Liu 007; Yalou Huang; Yongfeng Zhang 003; Yi Zhang 001; Xintong Zhang (TREC, 2015)

Daily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis. - Yongfeng Zhang 003; Min Zhang 006; Yi Zhang 001; Guokun Lai; Yiqun Liu 001; Honghui Zhang; Shaoping Ma (WWW, 2015)

Boost Phrase-level Polarity Labelling with Review-level Sentiment Classification. - Yongfeng Zhang 003; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (CoRR, 2015)

Learning to Rank Features for Recommendation over Multiple Categories. - Xu Chen 017; Zheng Qin 003; Yongfeng Zhang 003; Tao Xu (SIGIR, 2016)

HLBPR: A Hybrid Local Bayesian Personal Ranking Method. - Xu Chen 017; Pengfei Wang 009; Zheng Qin 003; Yongfeng Zhang 003 (WWW (Companion Volume), 2016)

Economic Recommendation with Surplus Maximization. - Yongfeng Zhang 003; Qi Zhao; Yi Zhang 001; Daniel Friedman; Min Zhang 006; Yiqun Liu 001; Shaoping Ma (WWW, 2016)

Probabilistic Local Matrix Factorization Based on User Reviews. - Xu Chen 017; Yongfeng Zhang 003; Wayne Xin Zhao; Wenwen Ye; Zheng Qin 003 (AIRS, 2017)

A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images. - Wenwen Ye; Yongfeng Zhang 003; Wayne Xin Zhao; Xu Chen 017; Zheng Qin 003 (AIRS, 2017)

Joint Factorizational Topic Models for Cross-City Recommendation. - Xiao Lin 002; Min Zhang 006; Yongfeng Zhang 003 (APWeb/WAIM (1), 2017)

Disparity-Aware Group Formation for Recommendation. - Xiao Lin 002; Min Zhang 006; Yongfeng Zhang 003; Zhaoquan Gu (AAMAS, 2017)

Learning and Transferring Social and Item Visibilities for Personalized Recommendation. - Xiao Lin 002; Min Zhang 006; Yongfeng Zhang 003; Yiqun Liu 001; Shaoping Ma (CIKM, 2017)

Joint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources. - Yongfeng Zhang 003; Qingyao Ai; Xu Chen 017; W. Bruce Croft (CIKM, 2017)

Boosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-learning Approach. - Xiao Lin 002; Min Zhang 006; Yongfeng Zhang 003; Zhaoquan Gu; Yiqun Liu 001; Shaoping Ma (DASFAA (2), 2017)

Fairness-Aware Group Recommendation with Pareto-Efficiency. - Xiao Lin 002; Min Zhang 006; Yongfeng Zhang 003; Zhaoquan Gu; Yiqun Liu 001; Shaoping Ma (RecSys, 2017)

Learning a Hierarchical Embedding Model for Personalized Product Search. - Qingyao Ai; Yongfeng Zhang 003; Keping Bi; Xu Chen 017; W. Bruce Croft (SIGIR, 2017)

Personalized Key Frame Recommendation. - Xu Chen 017; Yongfeng Zhang 003; Qingyao Ai; Hongteng Xu; Junchi Yan; Zheng Qin 003 (SIGIR, 2017)

Multi-Product Utility Maximization for Economic Recommendation. - Qi Zhao; Yongfeng Zhang 003; Yi Zhang 001; Daniel Friedman (WSDM, 2017)

Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. - Liu Yang 005; Hamed Zamani; Yongfeng Zhang 003; Jiafeng Guo; W. Bruce Croft (CoRR, 2017)

Towards Conversational Search and Recommendation: System Ask, User Respond. - Yongfeng Zhang 003; Xu Chen 017; Qingyao Ai; Liu Yang 005; W. Bruce Croft (CIKM, 2018)

Analyzing and Characterizing User Intent in Information-seeking Conversations. - Chen Qu 001; Liu Yang 005; W. Bruce Croft; Johanne R. Trippas; Yongfeng Zhang 003; Minghui Qiu (SIGIR, 2018)

Modeling Dynamic Pairwise Attention for Crime Classification over Legal Articles. - Pengfei Wang 009; Ze Yang 005; Shuzi Niu; Yongfeng Zhang 003; Lei Zhang 049; Shaozhang Niu (SIGIR, 2018)

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. - Liu Yang 005; Minghui Qiu; Chen Qu 001; Jiafeng Guo; Yongfeng Zhang 003; W. Bruce Croft; Jun Huang 007; Haiqing Chen (SIGIR, 2018)

SIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018). - Yongfeng Zhang 003; Yi Zhang 001; Min Zhang 006 (SIGIR, 2018)

Sequential Recommendation with User Memory Networks. - Xu Chen 017; Hongteng Xu; Yongfeng Zhang 003; Jiaxi Tang; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (WSDM, 2018)

IFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization. - Feida Zhu 001; Yongfeng Zhang 003; Neil Yorke-Smith; Guibing Guo; Xu Chen 017 (WSDM, 2018)

Learning Heterogeneous Knowledge Base Embeddings for Explainable Recommendation. - Qingyao Ai; Vahid Azizi 003; Xu Chen 017; Yongfeng Zhang 003 (Algorithms, 2018)

Visually Explainable Recommendation. - Xu Chen 017; Yongfeng Zhang 003; Hongteng Xu; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (CoRR, 2018)

Learning over Knowledge-Base Embeddings for Recommendation. - Yongfeng Zhang 003; Qingyao Ai; Xu Chen 017; Pengfei Wang 009 (CoRR, 2018)

Report on EARS'18: 1st International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang 003; Yi Zhang 001; Min Zhang 006 (SIGIR Forum, 2018)

Dynamic Explainable Recommendation Based on Neural Attentive Models. - Xu Chen 017; Yongfeng Zhang 003; Zheng Qin 003 (AAAI, 2019)

Answer Interaction in Non-factoid Question Answering Systems. - Chen Qu 001; Liu Yang 005; W. Bruce Croft; Falk Scholer; Yongfeng Zhang 003 (CHIIR, 2019)

User Intent Prediction in Information-seeking Conversations. - Chen Qu 001; Liu Yang 005; W. Bruce Croft; Yongfeng Zhang 003; Johanne R. Trippas; Minghui Qiu (CHIIR, 2019)

Conversational Product Search Based on Negative Feedback. - Keping Bi; Qingyao Ai; Yongfeng Zhang 003; W. Bruce Croft (CIKM, 2019)

Attentive History Selection for Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Minghui Qiu; Yongfeng Zhang 003; Cen Chen 001; W. Bruce Croft; Mohit Iyyer (CIKM, 2019)

Adaptive Feature Sampling for Recommendation with Missing Content Feature Values. - Shaoyun Shi; Min Zhang 006; Xinxing Yu; Yongfeng Zhang 003; Bin Hao; Yiqun Liu 001; Shaoping Ma (CIKM, 2019)

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation. - Xiao Lin 002; Hongjie Chen; Changhua Pei; Fei Sun 001; Xuanji Xiao; Hanxiao Sun; Yongfeng Zhang 003; Wenwu Ou; Peng Jiang 002 (RecSys, 2019)

Personalized re-ranking for recommendation. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang 003; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Junfeng Ge; Wenwu Ou; Dan Pei (RecSys, 2019)

Personalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation. - Xu Chen 017; Hanxiong Chen; Hongteng Xu; Yongfeng Zhang 003; Yixin Cao 002; Zheng Qin 003; Hongyuan Zha (SIGIR, 2019)

BERT with History Answer Embedding for Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Minghui Qiu; W. Bruce Croft; Yongfeng Zhang 003; Mohit Iyyer (SIGIR, 2019)

Unified Collaborative Filtering over Graph Embeddings. - Pengfei Wang 009; Hanxiong Chen; Yadong Zhu; Huawei Shen; Yongfeng Zhang 003 (SIGIR, 2019)

Hierarchical Matching Network for Crime Classification. - Pengfei Wang 009; Yu Fan 004; Shuzi Niu; Ze Yang 005; Yongfeng Zhang 003; Jiafeng Guo (SIGIR, 2019)

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. - Yikun Xian; Zuohui Fu; S. Muthukrishnan 001; Gerard de Melo; Yongfeng Zhang 003 (SIGIR, 2019)

SIGIR 2019 Tutorial on Explainable Recommendation and Search. - Yongfeng Zhang 003; Jiaxin Mao; Qingyao Ai (SIGIR, 2019)

EARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang 003; Yi Zhang 001; Min Zhang 006; Chirag Shah 001 (SIGIR, 2019)

Maximizing Marginal Utility per Dollar for Economic Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Shijie Geng; Zuohui Fu; Yongfeng Zhang 003 (WWW, 2019)

Value-aware Recommendation based on Reinforcement Profit Maximization. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang 003 (WWW, 2019)

WWW'19 Tutorial on Explainable Recommendation and Search. - Yongfeng Zhang 003; Jiaxin Mao; Qingyao Ai (WWW (Companion Volume), 2019)

Value-aware Recommendation based on Reinforced Profit Maximization in E-commerce Systems. - Changhua Pei; Xinru Yang; Qing Cui; Xiao Lin 002; Fei Sun 001; Peng Jiang 002; Wenwu Ou; Yongfeng Zhang 003 (CoRR, 2019)

Personalized Context-aware Re-ranking for E-commerce Recommender Systems. - Changhua Pei; Yi Zhang 001; Yongfeng Zhang 003; Fei Sun 001; Xiao Lin 002; Hanxiao Sun; Jian Wu 032; Peng Jiang 002; Wenwu Ou; Dan Pei (CoRR, 2019)

Neural Logic Networks. - Shaoyun Shi; Hanxiong Chen; Min Zhang 006; Yongfeng Zhang 003 (CoRR, 2019)

Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. - Pengfei Wang 009; Yongfeng Zhang 003; Shuzi Niu; Jiafeng Guo (J. Comput. Sci. Technol., 2019)

Adversarial Distillation for Efficient Recommendation with External Knowledge. - Xu Chen 017; Yongfeng Zhang 003; Hongteng Xu; Zheng Qin 003; Hongyuan Zha (ACM Trans. Inf. Syst., 2019)

Efficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation. - Chong Chen 001; Min Zhang 006; Yongfeng Zhang 003; Weizhi Ma; Yiqun Liu 001; Shaoping Ma (AAAI, 2020)

Generate Neural Template Explanations for Recommendation. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (CIKM, 2020)

Neural Logic Reasoning. - Shaoyun Shi; Hanxiong Chen; Weizhi Ma; Jiaxin Mao; Min Zhang 006; Yongfeng Zhang 003 (CIKM, 2020)

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. - Yikun Xian; Zuohui Fu; Handong Zhao; Yingqiang Ge; Xu Chen 017; Qiaoying Huang; Shijie Geng; Zhou Qin 001; Gerard de Melo; S. Muthukrishnan 001; Yongfeng Zhang 003 (CIKM, 2020)

E-commerce Recommendation with Weighted Expected Utility. - Zhichao Xu 001; Yi Han; Yongfeng Zhang 003; Qingyao Ai (CIKM, 2020)

HID: Hierarchical Multiscale Representation Learning for Information Diffusion. - Honglu Zhou; Shuyuan Xu; Zuohui Fu; Gerard de Melo; Yongfeng Zhang 003; Mubbasir Kapadia (IJCAI, 2020)

Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang 003; Yi Zhang 001 (RecSys, 2020)

Fairness-Aware Explainable Recommendation over Knowledge Graphs. - Zuohui Fu; Yikun Xian; Ruoyuan Gao; Jieyu Zhao 004; Qiaoying Huang; Yingqiang Ge; Shuyuan Xu; Shijie Geng; Chirag Shah 001; Yongfeng Zhang 003; Gerard de Melo (SIGIR, 2020)

Learning Personalized Risk Preferences for Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Zuohui Fu; Fei Sun 001; Yongfeng Zhang 003 (SIGIR, 2020)

Understanding Echo Chambers in E-commerce Recommender Systems. - Yingqiang Ge; Shuya Zhao; Honglu Zhou; Changhua Pei; Fei Sun 001; Wenwu Ou; Yongfeng Zhang 003 (SIGIR, 2020)

Beyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation. - Shaoyun Shi; Weizhi Ma; Min Zhang 006; Yongfeng Zhang 003; Xinxing Yu; Houzhi Shan; Yiqun Liu 001; Shaoping Ma (SIGIR, 2020)

EARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search. - Yongfeng Zhang 003; Xu Chen 017; Yi Zhang 001; Min Zhang 006; Chirag Shah 001 (SIGIR, 2020)

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. - Liu Yang 005; Minghui Qiu; Chen Qu 001; Cen Chen 001; Jiafeng Guo; Yongfeng Zhang 003; W. Bruce Croft; Haiqing Chen (WWW, 2020)

Towards Controllable Explanation Generation for Recommender Systems via Neural Template. - Lei Li 042; Li Chen 009; Yongfeng Zhang 003 (WWW (Companion Volume), 2020)

Learning Post-Hoc Causal Explanations for Recommendation. - Shuyuan Xu; Yunqi Li 003; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang 003 (CoRR, 2020)

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation. - Yikun Xian; Zuohui Fu; Qiaoying Huang; S. Muthukrishnan 001; Yongfeng Zhang 003 (CoRR, 2020)

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce. - Zuohui Fu; Yikun Xian; Yaxin Zhu; Yongfeng Zhang 003; Gerard de Melo (CoRR, 2020)

Explainable Recommendation: A Survey and New Perspectives. - Yongfeng Zhang 003; Xu Chen 017 (Found. Trends Inf. Retr., 2020)

Explainable Product Search with a Dynamic Relation Embedding Model. - Qingyao Ai; Yongfeng Zhang 003; Keping Bi; W. Bruce Croft (ACM Trans. Inf. Syst., 2020)

Neural Feature-aware Recommendation with Signed Hypergraph Convolutional Network. - Xu Chen 017; Kun Xiong; Yongfeng Zhang 003; Long Xia; Dawei Yin 001; Jimmy Xiangji Huang (ACM Trans. Inf. Syst., 2020)

Efficient Neural Matrix Factorization without Sampling for Recommendation. - Chong Chen 001; Min Zhang 006; Yongfeng Zhang 003; Yiqun Liu 001; Shaoping Ma (ACM Trans. Inf. Syst., 2020)

Personalized Transformer for Explainable Recommendation. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (ACL/IJCNLP (1), 2021)

CIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems. - Yunqi Li 003; Yingqiang Ge; Yongfeng Zhang 003 (CIKM, 2021)

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. - Zuohui Fu; Yikun Xian; Shijie Geng; Gerard de Melo; Yongfeng Zhang 003 (CIKM, 2021)

Counterfactual Explainable Recommendation. - Juntao Tan; Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Xu Chen 017; Yongfeng Zhang 003 (CIKM, 2021)

Counterfactual Review-based Recommendation. - Kun Xiong; Wenwen Ye; Xu Chen 017; Yongfeng Zhang 003; Wayne Xin Zhao; Binbin Hu; Zhiqiang Zhang 012; Jun Zhou 011 (CIKM, 2021)

IUI 2021 Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang 003; Yi Zhang 001 (IUI Companion, 2021)

Faithfully Explainable Recommendation via Neural Logic Reasoning. - Yaxin Zhu; Yikun Xian; Zuohui Fu; Gerard de Melo; Yongfeng Zhang 003 (NAACL-HLT, 2021)

EX3: Explainable Attribute-aware Item-set Recommendations. - Yikun Xian; Tong Zhao 002; Jin Li 003; Jim Chan; Andrey Kan; Jun Ma 029; Xin Luna Dong; Christos Faloutsos; George Karypis; S. Muthukrishnan 001; Yongfeng Zhang 003 (RecSys, 2021)

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. - Zuohui Fu; Yikun Xian; Yaxin Zhu; Shuyuan Xu; Zelong Li 001; Gerard de Melo; Yongfeng Zhang 003 (SIGIR, 2021)

Towards Personalized Fairness based on Causal Notion. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Yongfeng Zhang 003 (SIGIR, 2021)

Tutorial on Fairness of Machine Learning in Recommender Systems. - Yunqi Li 003; Yingqiang Ge; Yongfeng Zhang 003 (SIGIR, 2021)

EXTRA: Explanation Ranking Datasets for Explainable Recommendation. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (SIGIR, 2021)

FedCT: Federated Collaborative Transfer for Recommendation. - Shuchang Liu 001; Shuyuan Xu; Wenhui Yu; Zuohui Fu; Yongfeng Zhang 003; Amélie Marian (SIGIR, 2021)

Counterfactual Data-Augmented Sequential Recommendation. - Zhenlei Wang; Jingsen Zhang; Hongteng Xu; Xu Chen 017; Yongfeng Zhang 003; Wayne Xin Zhao; Ji-Rong Wen (SIGIR, 2021)

CSR 2021: The 1st International Workshop on Causality in Search and Recommendation. - Yongfeng Zhang 003; Xu Chen 017; Yi Zhang 001; Xianjie Chen (SIGIR, 2021)

WSDM 2021 Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang 003; Yi Zhang 001 (WSDM, 2021)

Towards Long-term Fairness in Recommendation. - Yingqiang Ge; Shuchang Liu 001; Ruoyuan Gao; Yikun Xian; Yunqi Li 003; Xiangyu Zhao 001; Changhua Pei; Fei Sun 001; Junfeng Ge; Wenwu Ou; Yongfeng Zhang 003 (WSDM, 2021)

The 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021). - Yongfeng Zhang 003; Min Zhang 006; Hanxiong Chen; Xu Chen 017; Xianjie Chen; Chuang Gan 001; Tong Sun; Xin Luna Dong (WSDM, 2021)

Neural Collaborative Reasoning. - Hanxiong Chen; Shaoyun Shi; Yunqi Li 003; Yongfeng Zhang 003 (WWW, 2021)

User-oriented Fairness in Recommendation. - Yunqi Li 003; Hanxiong Chen; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang 003 (WWW, 2021)

Efficient Non-Sampling Knowledge Graph Embedding. - Zelong Li 001; Jianchao Ji; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Chong Chen 001; Yongfeng Zhang 003 (WWW, 2021)

Variation Control and Evaluation for Generative Slate Recommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; Yongfeng Zhang 003 (WWW, 2021)

Generate Natural Language Explanations for Recommendation. - Hanxiong Chen; Xu Chen 017; Shaoyun Shi; Yongfeng Zhang 003 (CoRR, 2021)

Discrete Knowledge Graph Embedding based on Discrete Optimization. - Yunqi Li 003; Shuyuan Xu; Bo Liu 093; Zuohui Fu; Shuchang Liu 001; Xu Chen 017; Yongfeng Zhang 003 (CoRR, 2021)

Learning to Explain Recommendations. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (CoRR, 2021)

Variation Control and Evaluation for Generative SlateRecommendations. - Shuchang Liu 001; Fei Sun 001; Yingqiang Ge; Changhua Pei; Yongfeng Zhang 003 (CoRR, 2021)

Counterfactual Evaluation for Explainable AI. - Yingqiang Ge; Shuchang Liu 001; Zelong Li 001; Shuyuan Xu; Shijie Geng; Yunqi Li 003; Juntao Tan; Fei Sun 001; Yongfeng Zhang 003 (CoRR, 2021)

Deconfounded Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Shelby Heinecke; Jia Li; Yongfeng Zhang 003 (CoRR, 2021)

From Kepler to Newton: Explainable AI for Science Discovery. - Zelong Li 001; Jianchao Ji; Yongfeng Zhang 003 (CoRR, 2021)

Improving Personalized Explanation Generation through Visualization. - Shijie Geng; Zuohui Fu; Yingqiang Ge; Lei Li 042; Gerard de Melo; Yongfeng Zhang 003 (ACL (1), 2022)

Learn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS). - Hanxiong Chen; Yunqi Li 003; He Zhu 001; Yongfeng Zhang 003 (CIKM, 2022)

Dynamic Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Zuohui Fu; Jianchao Ji; Shelby Heinecke; Yongfeng Zhang 003 (CIKM, 2022)

Assessing Combinational Generalization of Language Models in Biased Scenarios. - Yanbo Fang; Zuohui Fu; Xin Dong 010; Yongfeng Zhang 003; Gerard de Melo (AACL/IJCNLP (2), 2022)

Causal factorization machine for robust recommendation. - Yunqi Li 003; Hanxiong Chen; Juntao Tan; Yongfeng Zhang 003 (JCDL, 2022)

Fairness-aware Federated Matrix Factorization. - Shuchang Liu 001; Yingqiang Ge; Shuyuan Xu; Yongfeng Zhang 003; Amélie Marian (RecSys, 2022)

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). - Shijie Geng; Shuchang Liu 001; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang 003 (RecSys, 2022)

Explainable Fairness in Recommendation. - Yingqiang Ge; Juntao Tan; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Shuchang Liu 001; Zuohui Fu; Shijie Geng; Zelong Li 001; Yongfeng Zhang 003 (SIGIR, 2022)

AutoLossGen: Automatic Loss Function Generation for Recommender Systems. - Zelong Li 001; Jianchao Ji; Yingqiang Ge; Yongfeng Zhang 003 (SIGIR, 2022)

Graph Collaborative Reasoning. - Hanxiong Chen; Yunqi Li 003; Shaoyun Shi; Shuchang Liu 001; He Zhu 001; Yongfeng Zhang 003 (WSDM, 2022)

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. - Yingqiang Ge; Xiaoting Zhao; Lucia Yu; Saurabh Paul; Diane Hu; Chu-Cheng Hsieh; Yongfeng Zhang 003 (WSDM, 2022)

RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems. - Zohreh Ovaisi; Shelby Heinecke; Jia Li 015; Yongfeng Zhang 003; Elena Zheleva; Caiming Xiong (WSDM, 2022)

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. - Shijie Geng; Zuohui Fu; Juntao Tan; Yingqiang Ge; Gerard de Melo; Yongfeng Zhang 003 (WWW, 2022)

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. - Juntao Tan; Shijie Geng; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Yunqi Li 003; Yongfeng Zhang 003 (WWW, 2022)

ExpScore: Learning Metrics for Recommendation Explanation. - Bingbing Wen; Yunhe Feng; Yongfeng Zhang 003; Chirag Shah 001 (WWW, 2022)

Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. - Yingqiang Ge; Xiaoting Zhao; Lucia Yu; Saurabh Paul; Diane Hu; Chu-Cheng Hsieh; Yongfeng Zhang 003 (CoRR, 2022)

Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. - Xu Chen 017; Yongfeng Zhang 003; Ji-Rong Wen (CoRR, 2022)

Fairness in Recommendation: A Survey. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 001; Yongfeng Zhang 003 (CoRR, 2022)

Towards Generating Robust, Fair, and Emotion-Aware Explanations for Recommender Systems. - Bingbing Wen; Yunhe Feng; Yongfeng Zhang 003; Chirag Shah 001 (CoRR, 2022)

Prompt Distillation for Efficient LLM-based Recommendation. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (CIKM, 2023)

User-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations. - Juntao Tan; Yingqiang Ge; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Jianchao Ji; Yongfeng Zhang 003 (ECAI, 2023)

VIP5: Towards Multimodal Foundation Models for Recommendation. - Shijie Geng; Juntao Tan; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang 003 (EMNLP (Findings), 2023)

Causal Collaborative Filtering. - Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Zuohui Fu; Xu Chen 017; Yongfeng Zhang 003 (ICTIR, 2023)

ExplainableFold: Understanding AlphaFold Prediction with Explainable AI. - Juntao Tan; Yongfeng Zhang 003 (KDD, 2023)

OpenAGI: When LLM Meets Domain Experts. - Yingqiang Ge; Wenyue Hua; Kai Mei; Jianchao Ji; Juntao Tan; Shuyuan Xu; Zelong Li 001; Yongfeng Zhang 003 (NeurIPS, 2023)

Tutorial on Large Language Models for Recommendation. - Wenyue Hua; Lei Li 042; Shuyuan Xu; Li Chen 009; Yongfeng Zhang 003 (RecSys, 2023)

How to Index Item IDs for Recommendation Foundation Models. - Wenyue Hua; Shuyuan Xu; Yingqiang Ge; Yongfeng Zhang 003 (SIGIR-AP, 2023)

Counterfactual Collaborative Reasoning. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Max Xiong; Juntao Tan; Yingqiang Ge; Hao Wang 014; Yongfeng Zhang 003 (WSDM, 2023)

Exploration and Regularization of the Latent Action Space in Recommendation. - Shuchang Liu 001; Qingpeng Cai 001; Bowen Sun; Yuhao Wang 006; Ji Jiang; Dong Zheng; Peng Jiang 002; Kun Gai; Xiangyu Zhao 001; Yongfeng Zhang 003 (WWW, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation. - Wenyue Hua; Yingqiang Ge; Shuyuan Xu; Jianchao Ji; Yongfeng Zhang 003 (CoRR, 2023)

Fairness of ChatGPT. - Yunqi Li 003; Yongfeng Zhang 003 (CoRR, 2023)

FMMRec: Fairness-aware Multimodal Recommendation. - Weixin Chen; Li Chen 009; Yongxin Ni; Yuhan Zhao 001; Fajie Yuan; Yongfeng Zhang 003 (CoRR, 2023)

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars. - Wenyue Hua; Lizhou Fan; Lingyao Li; Kai Mei; Jianchao Ji; Yingqiang Ge; Libby Hemphill; Yongfeng Zhang 003 (CoRR, 2023)

LLM as OS, Agents as Apps: Envisioning AIOS, Agents and the AIOS-Agent Ecosystem. - Yingqiang Ge; Yujie Ren; Wenyue Hua; Shuyuan Xu; Juntao Tan; Yongfeng Zhang 003 (CoRR, 2023)

Efficient Non-Sampling Graph Neural Networks. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Yongfeng Zhang 003 (Inf., 2023)

On the Relationship between Explanation and Recommendation: Learning to Rank Explanations for Improved Performance. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (ACM Trans. Intell. Syst. Technol., 2023)

Data Augmented Sequential Recommendation Based on Counterfactual Thinking. - Xu Chen 017; Zhenlei Wang; Hongteng Xu; Jingsen Zhang; Yongfeng Zhang 003; Wayne Xin Zhao; Ji-Rong Wen (IEEE Trans. Knowl. Data Eng., 2023)

Fairness in Recommendation: Foundations, Methods, and Applications. - Yunqi Li 003; Hanxiong Chen; Shuyuan Xu; Yingqiang Ge; Juntao Tan; Shuchang Liu 001; Yongfeng Zhang 003 (ACM Trans. Intell. Syst. Technol., 2023)

Personalized Prompt Learning for Explainable Recommendation. - Lei Li 042; Yongfeng Zhang 003; Li Chen 009 (ACM Trans. Inf. Syst., 2023)

Deconfounded Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Shelby Heinecke; Vena Jia Li; Yongfeng Zhang 003 (Trans. Recomm. Syst., 2023)

The Impact of Reasoning Step Length on Large Language Models. - Mingyu Jin; Qinkai Yu; Dong Shu; Haiyan Zhao 003; Wenyue Hua; Yanda Meng; Yongfeng Zhang 003; Mengnan Du (ACL (Findings), 2024)

Explainable and Coherent Complement Recommendation Based on Large Language Models. - Zelong Li 001; Yan Liang 004; Ming Wang; Sungro Yoon; Jiaying Shi; Xin Shen; Xiang He 007; Chenwei Zhang; Wenyi Wu; Hanbo Wang; Jin Li 003; Jim Chan; et al. (CIKM, 2024)

LawLLM: Law Large Language Model for the US Legal System. - Dong Shu; Haoran Zhao; Xukun Liu; David Demeter; Mengnan Du; Yongfeng Zhang 003 (CIKM, 2024)

Fairness in Survival Outcome Prediction for Medical Treatments. - Yunqi Li 003; Hanxiong Chen; Lanjing Zhang; Yongfeng Zhang 003 (CISS, 2024)

Probing into the Fairness of Large Language Models: A Case Study of ChatGPT. - Yunqi Li 003; Lanjing Zhang; Yongfeng Zhang 003 (CISS, 2024)

Large Language Models for Generative Recommendation: A Survey and Visionary Discussions. - Lei Li 042; Yongfeng Zhang 003; Dugang Liu; Li Chen 009 (LREC/COLING, 2024)

UP5: Unbiased Foundation Model for Fairness-aware Recommendation. - Wenyue Hua; Yingqiang Ge; Shuyuan Xu; Jianchao Ji; Zelong Li 001; Yongfeng Zhang 003 (EACL (1), 2024)

Large Language Model Agentic Approach to Fact Checking and Fake News Detection. - Xinyi Li; Yongfeng Zhang 003; Edward C. Malthouse (ECAI, 2024)

GenRec: Large Language Model for Generative Recommendation. - Jianchao Ji; Zelong Li 001; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Juntao Tan; Yongfeng Zhang 003 (ECIR (3), 2024)

Prompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability. - Xinyi Li; Yongfeng Zhang 003; Edward C. Malthouse (ECIR (2), 2024)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents. - Wenyue Hua; Xianjun Yang; Mingyu Jin; Zelong Li 001; Wei Cheng 002; Ruixiang Tang; Yongfeng Zhang 003 (EMNLP (Findings), 2024)

Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training. - Juntao Tan; Shelby Heinecke; Zhiwei Liu 001; Yongjun Chen; Yongfeng Zhang 003; Huan Wang 014 (SDM, 2024)

IDGenRec: LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li 001; Yongfeng Zhang 003 (SIGIR, 2024)

OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems. - Shuyuan Xu; Wenyue Hua; Yongfeng Zhang 003 (SIGIR, 2024)

PAP-REC: Personalized Automatic Prompt for Recommendation Language Model. - Zelong Li 001; Jianchao Ji; Yingqiang Ge; Wenyue Hua; Yongfeng Zhang 003 (CoRR, 2024)

Health-LLM: Personalized Retrieval-Augmented Disease Prediction System. - Mingyu Jin; Qinkai Yu; Dong Shu; Chong Zhang 006; Lizhou Fan; Wenyue Hua; Suiyuan Zhu; Yanda Meng; Zhenting Wang; Mengnan Du; Yongfeng Zhang 003; Yanda Meng (CoRR, 2024)

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents. - Zelong Li 001; Wenyue Hua; Hao Wang 014; He Zhu 001; Yongfeng Zhang 003 (CoRR, 2024)

TrustAgent: Towards Safe and Trustworthy LLM-based Agents through Agent Constitution. - Wenyue Hua; Xianjun Yang; Zelong Li 001; Wei Cheng 002; Yongfeng Zhang 003 (CoRR, 2024)

NPHardEval4V: A Dynamic Reasoning Benchmark of Multimodal Large Language Models. - Lizhou Fan; Wenyue Hua; Xiang Li; Kaijie Zhu; Mingyu Jin; Lingyao Li; Haoyang Ling; Jinkui Chi; Jindong Wang 001; Xin Ma; Yongfeng Zhang 003 (CoRR, 2024)

AIOS: LLM Agent Operating System. - Kai Mei; Zelong Li 001; Shuyuan Xu; Ruosong Ye; Yingqiang Ge; Yongfeng Zhang 003 (CoRR, 2024)

Towards LLM-RecSys Alignment with Textual ID Learning. - Juntao Tan; Shuyuan Xu; Wenyue Hua; Yingqiang Ge; Zelong Li 001; Yongfeng Zhang 003 (CoRR, 2024)

Exploring Concept Depth: How Large Language Models Acquire Knowledge at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (CoRR, 2024)

BattleAgent: Multi-modal Dynamic Emulation on Historical Battles to Complement Historical Analysis. - Shuhang Lin; Wenyue Hua; Lingyao Li; Che-Jui Chang; Lizhou Fan; Jianchao Ji; Hang Hua; Mingyu Jin; Jiebo Luo 001; Yongfeng Zhang 003 (CoRR, 2024)

A scoping review of using Large Language Models (LLMs) to investigate Electronic Health Records (EHRs). - Lingyao Li; Jiayan Zhou; Zhenxiang Gao; Wenyue Hua; Lizhou Fan; Huizi Yu; Loni Hagen; Yongfeng Zhang 003; Themistocles L. Assimes; Libby Hemphill; Siyuan Ma (CoRR, 2024)

AIOS Compiler: LLM as Interpreter for Natural Language Programming and Flow Programming of AI Agents. - Shuyuan Xu; Zelong Li 001; Kai Mei; Yongfeng Zhang 003 (CoRR, 2024)

Uncertainty is Fragile: Manipulating Uncertainty in Large Language Models. - Qingcheng Zeng; Mingyu Jin; Qinkai Yu; Zhenting Wang; Wenyue Hua; Zihao Zhou; Guangyan Sun; Yanda Meng; Shiqing Ma; Qifan Wang 001; Felix Juefei-Xu; Kaize Ding; et al. (CoRR, 2024)

AutoFlow: Automated Workflow Generation for Large Language Model Agents. - Zelong Li 001; Shuyuan Xu; Kai Mei; Wenyue Hua; Balaji Rama; Om Raheja; Hao Wang 014; He Zhu 001; Yongfeng Zhang 003 (CoRR, 2024)

Visual Agents as Fast and Slow Thinkers. - Guangyan Sun; Mingyu Jin; Zhenting Wang; Cheng-Long Wang; Siqi Ma; Qifan Wang 001; Ying Nian Wu; Yongfeng Zhang 003; Dongfang Liu (CoRR, 2024)

Game-theoretic LLM: Agent Workflow for Negotiation Games. - Wenyue Hua; Ollie Liu; Lingyao Li; Alfonso Amayuelas; Julie Chen; Lucas Jiang; Mingyu Jin; Lizhou Fan; Fei Sun; William Wang 001; Xintong Wang; Yongfeng Zhang 003 (CoRR, 2024)

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. - Zhichao Xu 001; Hansi Zeng; Juntao Tan; Zuohui Fu; Yongfeng Zhang 003; Qingyao Ai (ACM Trans. Inf. Syst., 2024)

Introduction to the Special Issue on Causal Inference for Recommender Systems. - Yongfeng Zhang 003; Xu Chen 017; Da Xu 008; Tobias Schnabel (Trans. Recomm. Syst., 2024)

When Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations. - Huaizhi Ge; Yiming Li; Qifan Wang 001; Yongfeng Zhang 003; Ruixiang Tang (ACL (1), 2025)

Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities. - Wenyue Hua; Kaijie Zhu; Lingyao Li; Lizhou Fan; Mingyu Jin; Shuhang Lin; Haochen Xue; Zelong Li 001; Jindong Wang 001; Yongfeng Zhang 003 (ACL (Findings), 2025)

Disentangling Memory and Reasoning Ability in Large Language Models. - Mingyu Jin; Weidi Luo; Sitao Cheng; Xinyi Wang 003; Wenyue Hua; Ruixiang Tang; William Yang Wang; Yongfeng Zhang 003 (ACL (1), 2025)

Exploring Concept Depth: How Large Language Models Acquire Knowledge and Concept at Different Layers? - Mingyu Jin; Qinkai Yu; Jingyuan Huang; Qingcheng Zeng; Zhenting Wang; Wenyue Hua; Haiyan Zhao 003; Kai Mei; Yanda Meng; Kaize Ding; Fan Yang 023; Mengnan Du; et al. (COLING, 2025)

From Commands to Prompts: LLM-based Semantic File System for AIOS. - Zeru Shi; Kai Mei; Mingyu Jin; Yongye Su; Chaoji Zuo; Wenyue Hua; Wujiang Xu; Yujie Ren; Zirui Liu 001; Mengnan Du; Dong Deng 001; Yongfeng Zhang 003 (ICLR, 2025)

Visual Agents as Fast and Slow Thinkers. - Guangyan Sun; Mingyu Jin; Zhenting Wang; Cheng-Long Wang; Siqi Ma; Qifan Wang 001; Tong Geng; Ying Nian Wu; Yongfeng Zhang 003; Dongfang Liu (ICLR, 2025)

The Second Workshop on Generative AI for E-commerce. - Mansi Ranjit Mane; Djordje Gligorijevic; Dingxian Wang; Topojoy Biswas; Evren Körpeoglu; Marios Savvides; Yongfeng Zhang 003; Julian J. McAuley (RecSys, 2025)

The 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking. - Qingsong Wen; Yongfeng Zhang 003; Zhiwei Liu 001; Julian J. McAuley; Hua Wei 001; Linsey Pang; Wei Liu 007; Philip S. Yu (WWW (Companion Volume), 2025)

Massive Values in Self-Attention Modules are the Key to Contextual Knowledge Understanding. - Mingyu Jin; Kai Mei; Wujiang Xu; Mingjie Sun; Ruixiang Tang; Mengnan Du; Zirui Liu 001; Yongfeng Zhang 003 (CoRR, 2025)

Fuzzy Neural Logic Reasoning for Robust Classification. - Guo Lin; Yongfeng Zhang 003 (ACM Trans. Knowl. Discov. Data, 2025)

LLM as GNN: Graph Vocabulary Learning for Text-Attributed Graph Foundation Models. - Xi Zhu; Haochen Xue; Ziwei Zhao; Wujiang Xu; Jingyuan Huang; Minghao Guo; Qifan Wang 001; Kaixiong Zhou; Yongfeng Zhang 003 (CoRR, 2025)

Causal Inference for Recommendation: Foundations, Methods, and Applications. - Shuyuan Xu; Jianchao Ji; Yunqi Li 003; Yingqiang Ge; Juntao Tan; Yongfeng Zhang 003 (ACM Trans. Intell. Syst. Technol., 2025)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 001; Zuohui Fu; Juntao Tan; Zelong Li 001; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang 003 (Trans. Recomm. Syst., 2025)

TwinVoice: A Multi-dimensional Benchmark Towards Digital Twins via LLM Persona Simulation. - Bangde Du; Minghao Guo; Songming He; Ziyi Ye; Xi Zhu; Weihang Su; Shuqi Zhu; Yujia Zhou 002; Yongfeng Zhang 003; Qingyao Ai; Yiqun Liu 001 (CoRR, 2025)

Cache Mechanism for Agent RAG Systems. - Shuhang Lin; Zhencan Peng; Lingyao Li; Xiao Lin 002; Xi Zhu; Yongfeng Zhang 003 (CoRR, 2025)

Introduction to the Special Issue on Causality Representation Learning in LLMs-Driven Recommender Systems. - Lina Yao 001; Julian J. McAuley; Yongfeng Zhang 003; Kun Zhang 015 (ACM Trans. Inf. Syst., 2025)