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Yongfeng Zhang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

168

Venues

30

Active years

2009–2026

Best venue rank

A*

Where they publish

Papers

168 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLMemRec: Collaborative Memory-Augmented Agentic Recommender System.Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang
2026ACLTwinVoice: 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, Yongfeng Zhang, Qingyao Ai, Yiqun Liu
2026EACLH-Mem: Hybrid Multi-Dimensional Memory Management for Long-Context Conversational Agents.Zihe Ye, Jingyuan Huang, Weixin Chen, Yongfeng Zhang
2025ACLWhen Backdoors Speak: Understanding LLM Backdoor Attacks Through Model-Generated Explanations.Huaizhi Ge, Yiming Li, Qifan Wang, Yongfeng Zhang, Ruixiang Tang
2025ACLDisentangling 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, Jindong Wang, Yongfeng Zhang
2025ACLDisentangling Memory and Reasoning Ability in Large Language Models.Mingyu Jin, Weidi Luo, Sitao Cheng, Xinyi Wang, Wenyue Hua, Ruixiang Tang, William Yang Wang, Yongfeng Zhang
2025ACLADO: Automatic Data Optimization for Inputs in LLM Prompts.Sam Lin, Wenyue Hua, Lingyao Li, Zhenting Wang, Yongfeng Zhang
2025ACLiAgent: LLM Agent as a Shield between User and Recommender Systems.Wujiang Xu, Yunxiao Shi, Zujie Liang, Xuying Ning, Kai Mei, Kun Wang, Xi Zhu, Min Xu, Yongfeng Zhang
2025CIKMA Content-Driven Micro-Video Recommendation Dataset at Scale.Yongxin Ni, Yu Cheng, Xiangyan Liu, Junchen Fu, Youhua Li, Xiangnan He, Yongfeng Zhang, Fajie Yuan
2025CIKMUncertainty Quantification for Multiple-Choice Questions is Just One-Token Deep.Qingcheng Zeng, Mingyu Jin, Qinkai Yu, Zhenting Wang, Wenyue Hua, Guangyan Sun, Yanda Meng, Shiqing Ma, Qifan Wang, Felix Juefei-Xu, Fan Yang, Kaize Ding, Ruixiang Tang, Yongfeng Zhang
2025COLINGExploring 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, Kai Mei, Yanda Meng, Kaize Ding, Fan Yang, Mengnan Du, Yongfeng Zhang
2025EMNLPSAE-SSV: Supervised Steering in Sparse Representation Spaces for Reliable Control of Language Models.Zirui He, Mingyu Jin, Bo Shen, Ali Payani, Yongfeng Zhang, Mengnan Du
2025EMNLPInvisible Prompts, Visible Threats: Malicious Font Injection in External Resources for Large Language Models.Junjie Xiong, Changjia Zhu, Shuhang Lin, Chong Zhang, Yongfeng Zhang, Yao Liu, Lingyao Li
2025ICLRInteractive Speculative Planning: Enhance Agent Efficiency through Co-design of System and User Interface.Wenyue Hua, Mengting Wan, Jagannath Shashank Subramanya Sai Vadrevu, Ryan Nadel, Yongfeng Zhang, Chi Wang
2025ICLRFrom 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, Mengnan Du, Dong Deng, Yongfeng Zhang
2025ICLRVisual Agents as Fast and Slow Thinkers.Guangyan Sun, Mingyu Jin, Zhenting Wang, Cheng-Long Wang, Siqi Ma, Qifan Wang, Tong Geng, Ying Nian Wu, Yongfeng Zhang, Dongfang Liu
2025ICLRSLMRec: Distilling Large Language Models into Small for Sequential Recommendation.Wujiang Xu, Qitian Wu, Zujie Liang, Jiaojiao Han, Xuying Ning, Yunxiao Shi, Wenfang Lin, Yongfeng Zhang
2025ICLRAgent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents.Hanrong Zhang, Jingyuan Huang, Kai Mei, Yifei Yao, Zhenting Wang, Chenlu Zhan, Hongwei Wang, Yongfeng Zhang
2025ICMLMassive 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, Yongfeng Zhang
2025IJCNLPTask-Aligned Tool Recommendation for Large Language Models.Hang Gao, Yongfeng Zhang
2025KDDThe 4th Workshop on AI Agent for Information Retrieval: Generating and Ranking.Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2025KDDA Survey on Trustworthy LLM Agents: Threats and Countermeasures.Miao Yu, Fanci Meng, Xinyun Zhou, Shilong Wang, Junyuan Mao, Linsey Pang, Tianlong Chen, Kun Wang, Xinfeng Li, Yongfeng Zhang, Bo An, Qingsong Wen
2025NAACLEmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs.Sam Lin, Wenyue Hua, Zhenting Wang, Mingyu Jin, Lizhou Fan, Yongfeng Zhang
2025NAACLCerebrum (AIOS SDK): A Platform for Agent Development, Deployment, Distribution, and Discovery.Balaji Rama, Kai Mei, Yongfeng Zhang
2025RecSysThe Second Workshop on Generative AI for E-commerce.Mansi Ranjit Mane, Djordje Gligorijevic, Dingxian Wang, Topojoy Biswas, Evren Krpeoglu, Marios Savvides, Yongfeng Zhang, Julian J. McAuley
2025WWWThe 3rd Workshop on AI Agent for Information Retrieval: Generating and Ranking.Qingsong Wen, Yongfeng Zhang, Zhiwei Liu, Julian J. McAuley, Hua Wei, Linsey Pang, Wei Liu, Philip S. Yu
2024ACLNPHardEval: Dynamic Benchmark on Reasoning Ability of Large Language Models via Complexity Classes.Lizhou Fan, Wenyue Hua, Lingyao Li, Haoyang Ling, Yongfeng Zhang
2024ACLThe Impact of Reasoning Step Length on Large Language Models.Mingyu Jin, Qinkai Yu, Dong Shu, Haiyan Zhao, Wenyue Hua, Yanda Meng, Yongfeng Zhang, Mengnan Du
2024ACMLKnowledge Graph Large Language Model (KG-LLM) for Link Prediction.Dong Shu, Tianle Chen, Mingyu Jin, Chong Zhang, Mengnan Du, Yongfeng Zhang
2024CIKMExplainable and Coherent Complement Recommendation Based on Large Language Models.Zelong Li, Yan Liang, Ming Wang, Sungro Yoon, Jiaying Shi, Xin Shen, Xiang He, Chenwei Zhang, Wenyi Wu, Hanbo Wang, Jin Li, Jim Chan, Yongfeng Zhang
2024CIKMLawLLM: Law Large Language Model for the US Legal System.Dong Shu, Haoran Zhao, Xukun Liu, David Demeter, Mengnan Du, Yongfeng Zhang
2024CIKMAI Agent for Information Retrieval: Generating and Ranking.Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu
2024CISSFairness in Survival Outcome Prediction for Medical Treatments.Yunqi Li, Hanxiong Chen, Lanjing Zhang, Yongfeng Zhang
2024CISSProbing into the Fairness of Large Language Models: A Case Study of ChatGPT.Yunqi Li, Lanjing Zhang, Yongfeng Zhang
2024COLINGLarge Language Models for Generative Recommendation: A Survey and Visionary Discussions.Lei Li, Yongfeng Zhang, Dugang Liu, Li Chen
2024EACLUP5: Unbiased Foundation Model for Fairness-aware Recommendation.Wenyue Hua, Yingqiang Ge, Shuyuan Xu, Jianchao Ji, Zelong Li, Yongfeng Zhang
2024EACLLanguage is All a Graph Needs.Ruosong Ye, Caiqi Zhang, Runhui Wang, Shuyuan Xu, Yongfeng Zhang
2024ECAILarge Language Model Agentic Approach to Fact Checking and Fake News Detection.Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2024ECIRGenRec: Large Language Model for Generative Recommendation.Jianchao Ji, Zelong Li, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Juntao Tan, Yongfeng Zhang
2024ECIRPrompt-Based Generative News Recommendation (PGNR): Accuracy and Controllability.Xinyi Li, Yongfeng Zhang, Edward C. Malthouse
2024EMNLPTrustAgent: Towards Safe and Trustworthy LLM-based Agents.Wenyue Hua, Xianjun Yang, Mingyu Jin, Zelong Li, Wei Cheng, Ruixiang Tang, Yongfeng Zhang
2024EMNLPBattleAgent: 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, Yongfeng Zhang
2024IGARSSCombining Spaceborne GNSS-R Data and Ensemble Machine Learning Methods for the Retrieval Vegetation Optical Depth.Jinwei Bu, Qiulan Wang, Linghui Li, Yongfeng Zhang, Xinyu Liu
2024NAACLPre-trained Language Models for Entity Blocking: A Reproducibility Study.Runhui Wang, Yongfeng Zhang
2024SIGIRIDGenRec: LLM-RecSys Alignment with Textual ID Learning.Juntao Tan, Shuyuan Xu, Wenyue Hua, Yingqiang Ge, Zelong Li, Yongfeng Zhang
2024SIGIROpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems.Shuyuan Xu, Wenyue Hua, Yongfeng Zhang
2024SDMTowards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training.Juntao Tan, Shelby Heinecke, Zhiwei Liu, Yongjun Chen, Yongfeng Zhang, Huan Wang
2024SDMNeural Locality Sensitive Hashing for Entity Blocking.Runhui Wang, Luyang Kong, Yefan Tao, Andrew Borthwick, Davor Golac, Henrik Johnson, Shadie Hijazi, Dong Deng, Yongfeng Zhang
2023CIKMPrompt Distillation for Efficient LLM-based Recommendation.Lei Li, Yongfeng Zhang, Li Chen
2023ECAIUser-Controllable Recommendation via Counterfactual Retrospective and Prospective Explanations.Juntao Tan, Yingqiang Ge, Yan Zhu, Yinglong Xia, Jiebo Luo, Jianchao Ji, Yongfeng Zhang
2023EMNLPVIP5: Towards Multimodal Foundation Models for Recommendation.Shijie Geng, Juntao Tan, Shuchang Liu, Zuohui Fu, Yongfeng Zhang
2023ICLRHiCLIP: Contrastive Language-Image Pretraining with Hierarchy-aware Attention.Shijie Geng, Jianbo Yuan, Yu Tian, Yuxiao Chen, Yongfeng Zhang
2023ICTIRCausal Collaborative Filtering.Shuyuan Xu, Yingqiang Ge, Yunqi Li, Zuohui Fu, Xu Chen, Yongfeng Zhang
2023KDDExplainableFold: Understanding AlphaFold Prediction with Explainable AI.Juntao Tan, Yongfeng Zhang
2023RecSysTutorial on Large Language Models for Recommendation.Wenyue Hua, Lei Li, Shuyuan Xu, Li Chen, Yongfeng Zhang
2023WWWExploration and Regularization of the Latent Action Space in Recommendation.Shuchang Liu, Qingpeng Cai, Bowen Sun, Yuhao Wang, Ji Jiang, Dong Zheng, Peng Jiang, Kun Gai, Xiangyu Zhao, Yongfeng Zhang
2023WWWTutorials at The Web Conference 2023.Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023SIGIRThe Dark Side of Explanations: Poisoning Recommender Systems with Counterfactual Examples.Ziheng Chen, Fabrizio Silvestri, Jia Wang, Yongfeng Zhang, Gabriele Tolomei
2023WSDMCounterfactual Collaborative Reasoning.Jianchao Ji, Zelong Li, Shuyuan Xu, Max Xiong, Juntao Tan, Yingqiang Ge, Hao Wang, Yongfeng Zhang
2022ACLImproving Personalized Explanation Generation through Visualization.Shijie Geng, Zuohui Fu, Yingqiang Ge, Lei Li, Gerard de Melo, Yongfeng Zhang
2022CIKMLearn Basic Skills and Reuse: Modularized Adaptive Neural Architecture Search (MANAS).Hanxiong Chen, Yunqi Li, He Zhu, Yongfeng Zhang
2022CIKMDynamic Causal Collaborative Filtering.Shuyuan Xu, Juntao Tan, Zuohui Fu, Jianchao Ji, Shelby Heinecke, Yongfeng Zhang
2022EMNLPData-Efficient Concept Extraction from Pre-trained Language Models for Commonsense Explanation Generation.Yanbo Fang, Yongfeng Zhang
2022EMNLPSystem 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning.Wenyue Hua, Yongfeng Zhang
2022IJCNLPAssessing Combinational Generalization of Language Models in Biased Scenarios.Yanbo Fang, Zuohui Fu, Xin Dong, Yongfeng Zhang, Gerard de Melo
2022RecSysFairness-aware Federated Matrix Factorization.Shuchang Liu, Yingqiang Ge, Shuyuan Xu, Yongfeng Zhang, Amlie Marian
2022RecSysRecommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5).Shijie Geng, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2022WWWPath Language Modeling over Knowledge Graphsfor Explainable Recommendation.Shijie Geng, Zuohui Fu, Juntao Tan, Yingqiang Ge, Gerard de Melo, Yongfeng Zhang
2022WWWLearning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning.Juntao Tan, Shijie Geng, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Yunqi Li, Yongfeng Zhang
2022WWWExpScore: Learning Metrics for Recommendation Explanation.Bingbing Wen, Yunhe Feng, Yongfeng Zhang, Chirag Shah
2022SIGIRExplainable Fairness in Recommendation.Yingqiang Ge, Juntao Tan, Yan Zhu, Yinglong Xia, Jiebo Luo, Shuchang Liu, Zuohui Fu, Shijie Geng, Zelong Li, Yongfeng Zhang
2022SIGIRAutoLossGen: Automatic Loss Function Generation for Recommender Systems.Zelong Li, Jianchao Ji, Yingqiang Ge, Yongfeng Zhang
2022WSDMGraph Collaborative Reasoning.Hanxiong Chen, Yunqi Li, Shaoyun Shi, Shuchang Liu, He Zhu, Yongfeng Zhang
2022WSDMToward 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
2022WSDMRGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems.Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong
2021AAAIDynamic Graph Representation Learning for Video Dialog via Multi-Modal Shuffled Transformers.Shijie Geng, Peng Gao, Moitreya Chatterjee, Chiori Hori, Jonathan Le Roux, Yongfeng Zhang, Hongsheng Li, Anoop Cherian
2021ACLPersonalized Transformer for Explainable Recommendation.Lei Li, Yongfeng Zhang, Li Chen
2021CIKMCIKM 2021 Tutorial on Fairness of Machine Learning in Recommender Systems.Yunqi Li, Yingqiang Ge, Yongfeng Zhang
2021CIKMPopcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems.Zuohui Fu, Yikun Xian, Shijie Geng, Gerard de Melo, Yongfeng Zhang
2021CIKMCounterfactual Explainable Recommendation.Juntao Tan, Shuyuan Xu, Yingqiang Ge, Yunqi Li, Xu Chen, Yongfeng Zhang
2021CIKMCounterfactual Review-based Recommendation.Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
2021IUIIUI 2021 Tutorial on Conversational Recommendation Systems.Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang
2021NAACLFaithfully Explainable Recommendation via Neural Logic Reasoning.Yaxin Zhu, Yikun Xian, Zuohui Fu, Gerard de Melo, Yongfeng Zhang
2021RecSysEX3: Explainable Attribute-aware Item-set Recommendations.Yikun Xian, Tong Zhao, Jin Li, Jim Chan, Andrey Kan, Jun Ma, Xin Luna Dong, Christos Faloutsos, George Karypis, S. Muthukrishnan, Yongfeng Zhang
2021WWWNeural Collaborative Reasoning.Hanxiong Chen, Shaoyun Shi, Yunqi Li, Yongfeng Zhang
2021WWWUser-oriented Fairness in Recommendation.Yunqi Li, Hanxiong Chen, Zuohui Fu, Yingqiang Ge, Yongfeng Zhang
2021WWWEfficient Non-Sampling Knowledge Graph Embedding.Zelong Li, Jianchao Ji, Zuohui Fu, Yingqiang Ge, Shuyuan Xu, Chong Chen, Yongfeng Zhang
2021WWWVariation Control and Evaluation for Generative Slate Recommendations.Shuchang Liu, Fei Sun, Yingqiang Ge, Changhua Pei, Yongfeng Zhang
2021SIGIRHOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation.Zuohui Fu, Yikun Xian, Yaxin Zhu, Shuyuan Xu, Zelong Li, Gerard de Melo, Yongfeng Zhang
2021SIGIRTowards Personalized Fairness based on Causal Notion.Yunqi Li, Hanxiong Chen, Shuyuan Xu, Yingqiang Ge, Yongfeng Zhang
2021SIGIRTutorial on Fairness of Machine Learning in Recommender Systems.Yunqi Li, Yingqiang Ge, Yongfeng Zhang
2021SIGIRFedCT: Federated Collaborative Transfer for Recommendation.Shuchang Liu, Shuyuan Xu, Wenhui Yu, Zuohui Fu, Yongfeng Zhang, Amlie Marian
2021SIGIREXTRA: Explanation Ranking Datasets for Explainable Recommendation.Lei Li, Yongfeng Zhang, Li Chen
2021SIGIRCounterfactual Data-Augmented Sequential Recommendation.Zhenlei Wang, Jingsen Zhang, Hongteng Xu, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen
2021SIGIRLearning Causal Explanations for Recommendation.Shuyuan Xu, Yunqi Li, Shuchang Liu, Zuohui Fu, Yingqiang Ge, Xu Chen, Yongfeng Zhang
2021SIGIRCSR 2021: The 1st International Workshop on Causality in Search and Recommendation.Yongfeng Zhang, Xu Chen, Yi Zhang, Xianjie Chen
2021WSDMWSDM 2021 Tutorial on Conversational Recommendation Systems.Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang
2021WSDMTowards Long-term Fairness in Recommendation.Yingqiang Ge, Shuchang Liu, Ruoyuan Gao, Yikun Xian, Yunqi Li, Xiangyu Zhao, Changhua Pei, Fei Sun, Junfeng Ge, Wenwu Ou, Yongfeng Zhang
2021WSDMThe 1st International Workshop on Machine Reasoning: International Machine Reasoning Conference (MRC 2021).Yongfeng Zhang, Min Zhang, Hanxiong Chen, Xu Chen, Xianjie Chen, Chuang Gan, Tong Sun, Xin Luna Dong
2020AAAIEfficient Heterogeneous Collaborative Filtering without Negative Sampling for Recommendation.Chong Chen, Min Zhang, Yongfeng Zhang, Weizhi Ma, Yiqun Liu, Shaoping Ma
2020CIKMGenerate Neural Template Explanations for Recommendation.Lei Li, Yongfeng Zhang, Li Chen
2020CIKMNeural Logic Reasoning.Shaoyun Shi, Hanxiong Chen, Weizhi Ma, Jiaxin Mao, Min Zhang, Yongfeng Zhang
2020CIKMCAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation.Yikun Xian, Zuohui Fu, Handong Zhao, Yingqiang Ge, Xu Chen, Qiaoying Huang, Shijie Geng, Zhou Qin, Gerard de Melo, S. Muthukrishnan, Yongfeng Zhang
2020CIKME-commerce Recommendation with Weighted Expected Utility.Zhichao Xu, Yi Han, Yongfeng Zhang, Qingyao Ai
2020COLINGA Representation Learning Approach to Animal Biodiversity Conservation.Meet Mukadam, Mandhara Jayaram, Yongfeng Zhang
2020IJCAIHID: Hierarchical Multiscale Representation Learning for Information Diffusion.Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia
2020RecSysTutorial on Conversational Recommendation Systems.Zuohui Fu, Yikun Xian, Yongfeng Zhang, Yi Zhang
2020WWWIART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems.Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen
2020WWWTowards Controllable Explanation Generation for Recommender Systems via Neural Template.Lei Li, Li Chen, Yongfeng Zhang
2020SIGIRFairness-Aware Explainable Recommendation over Knowledge Graphs.Zuohui Fu, Yikun Xian, Ruoyuan Gao, Jieyu Zhao, Qiaoying Huang, Yingqiang Ge, Shuyuan Xu, Shijie Geng, Chirag Shah, Yongfeng Zhang, Gerard de Melo
2020SIGIRLearning Personalized Risk Preferences for Recommendation.Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Zuohui Fu, Fei Sun, Yongfeng Zhang
2020SIGIRUnderstanding Echo Chambers in E-commerce Recommender Systems.Yingqiang Ge, Shuya Zhao, Honglu Zhou, Changhua Pei, Fei Sun, Wenwu Ou, Yongfeng Zhang
2020SIGIRBeyond User Embedding Matrix: Learning to Hash for Modeling Large-Scale Users in Recommendation.Shaoyun Shi, Weizhi Ma, Min Zhang, Yongfeng Zhang, Xinxing Yu, Houzhi Shan, Yiqun Liu, Shaoping Ma
2020SIGIREARS 2020: The 3rd International Workshop on ExplainAble Recommendation and Search.Yongfeng Zhang, Xu Chen, Yi Zhang, Min Zhang, Chirag Shah
2019AAAIDynamic Explainable Recommendation Based on Neural Attentive Models.Xu Chen, Yongfeng Zhang, Zheng Qin
2019CHIIRAnswer Interaction in Non-factoid Question Answering Systems.Chen Qu, Liu Yang, W. Bruce Croft, Falk Scholer, Yongfeng Zhang
2019CHIIRUser Intent Prediction in Information-seeking Conversations.Chen Qu, Liu Yang, W. Bruce Croft, Yongfeng Zhang, Johanne R. Trippas, Minghui Qiu
2019CIKMConversational Product Search Based on Negative Feedback.Keping Bi, Qingyao Ai, Yongfeng Zhang, W. Bruce Croft
2019CIKMAttentive History Selection for Conversational Question Answering.Chen Qu, Liu Yang, Minghui Qiu, Yongfeng Zhang, Cen Chen, W. Bruce Croft, Mohit Iyyer
2019CIKMAdaptive Feature Sampling for Recommendation with Missing Content Feature Values.Shaoyun Shi, Min Zhang, Xinxing Yu, Yongfeng Zhang, Bin Hao, Yiqun Liu, Shaoping Ma
2019ICTIRTutorial on Explainable Recommendation and Search.Yongfeng Zhang
2019RecSysRecommendation in multistakeholder environments.Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
2019RecSysRMSE: Workshop on Recommendation in Multi-stakeholder Environments.Robin Burke, Himan Abdollahpouri, Edward C. Malthouse, K. P. Thai, Yongfeng Zhang
2019RecSysA pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang
2019RecSysPersonalized re-ranking for recommendation.Changhua Pei, Yi Zhang, Yongfeng Zhang, Fei Sun, Xiao Lin, Hanxiao Sun, Jian Wu, Peng Jiang, Junfeng Ge, Wenwu Ou, Dan Pei
2019WWWMaximizing Marginal Utility per Dollar for Economic Recommendation.Yingqiang Ge, Shuyuan Xu, Shuchang Liu, Shijie Geng, Zuohui Fu, Yongfeng Zhang
2019WWWNeural Variational Correlated Topic Modeling.Luyang Liu, Heyan Huang, Yang Gao, Yongfeng Zhang, Xiaochi Wei
2019WWWValue-aware Recommendation based on Reinforcement Profit Maximization.Changhua Pei, Xinru Yang, Qing Cui, Xiao Lin, Fei Sun, Peng Jiang, Wenwu Ou, Yongfeng Zhang
2019WWWWWW'19 Tutorial on Explainable Recommendation and Search.Yongfeng Zhang, Jiaxin Mao, Qingyao Ai
2019SIGIRPersonalized Fashion Recommendation with Visual Explanations based on Multimodal Attention Network: Towards Visually Explainable Recommendation.Xu Chen, Hanxiong Chen, Hongteng Xu, Yongfeng Zhang, Yixin Cao, Zheng Qin, Hongyuan Zha
2019SIGIRBERT with History Answer Embedding for Conversational Question Answering.Chen Qu, Liu Yang, Minghui Qiu, W. Bruce Croft, Yongfeng Zhang, Mohit Iyyer
2019SIGIRUnified Collaborative Filtering over Graph Embeddings.Pengfei Wang, Hanxiong Chen, Yadong Zhu, Huawei Shen, Yongfeng Zhang
2019SIGIRHierarchical Matching Network for Crime Classification.Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo
2019SIGIRReinforcement Knowledge Graph Reasoning for Explainable Recommendation.Yikun Xian, Zuohui Fu, S. Muthukrishnan, Gerard de Melo, Yongfeng Zhang
2019SIGIRRelational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose
2019SIGIRSIGIR 2019 Tutorial on Explainable Recommendation and Search.Yongfeng Zhang, Jiaxin Mao, Qingyao Ai
2019SIGIREARS 2019: The 2nd International Workshop on ExplainAble Recommendation and Search.Yongfeng Zhang, Yi Zhang, Min Zhang, Chirag Shah
2018CIKMTowards Conversational Search and Recommendation: System Ask, User Respond.Yongfeng Zhang, Xu Chen, Qingyao Ai, Liu Yang, W. Bruce Croft
2018SIGIRAnalyzing and Characterizing User Intent in Information-seeking Conversations.Chen Qu, Liu Yang, W. Bruce Croft, Johanne R. Trippas, Yongfeng Zhang, Minghui Qiu
2018SIGIRModeling Dynamic Pairwise Attention for Crime Classification over Legal Articles.Pengfei Wang, Ze Yang, Shuzi Niu, Yongfeng Zhang, Lei Zhang, Shaozhang Niu
2018SIGIRResponse Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems.Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen
2018SIGIRSIGIR 2018 Workshop on ExplainAble Recommendation and Search (EARS 2018).Yongfeng Zhang, Yi Zhang, Min Zhang
2018WSDMSequential Recommendation with User Memory Networks.Xu Chen, Hongteng Xu, Yongfeng Zhang, Jiaxi Tang, Yixin Cao, Zheng Qin, Hongyuan Zha
2018WSDMIFUP: Workshop on Multi-dimensional Information Fusion for User Modeling and Personalization.Feida Zhu, Yongfeng Zhang, Neil Yorke-Smith, Guibing Guo, Xu Chen
2017APWEBJoint Factorizational Topic Models for Cross-City Recommendation.Xiao Lin, Min Zhang, Yongfeng Zhang
2017CIKMLearning and Transferring Social and Item Visibilities for Personalized Recommendation.Xiao Lin, Min Zhang, Yongfeng Zhang, Yiqun Liu, Shaoping Ma
2017CIKMJoint Representation Learning for Top-N Recommendation with Heterogeneous Information Sources.Yongfeng Zhang, Qingyao Ai, Xu Chen, W. Bruce Croft
2017DASFAABoosting Moving Average Reversion Strategy for Online Portfolio Selection: A Meta-learning Approach.Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma
2017ICTAIGive me Something Unknown: Incorporate Exploration Preference in Cognition into Recommender System.Daoyi Li, Minlie Huang, Yongfeng Zhang, Xiaoyan Zhu
2017RecSysFairness-Aware Group Recommendation with Pareto-Efficiency.Xiao Lin, Min Zhang, Yongfeng Zhang, Zhaoquan Gu, Yiqun Liu, Shaoping Ma
2017SIGIRLearning a Hierarchical Embedding Model for Personalized Product Search.Qingyao Ai, Yongfeng Zhang, Keping Bi, Xu Chen, W. Bruce Croft
2017SIGIRPersonalized Key Frame Recommendation.Xu Chen, Yongfeng Zhang, Qingyao Ai, Hongteng Xu, Junchi Yan, Zheng Qin
2017WSDMMulti-Product Utility Maximization for Economic Recommendation.Qi Zhao, Yongfeng Zhang, Yi Zhang, Daniel Friedman
2016WWWHLBPR: A Hybrid Local Bayesian Personal Ranking Method.Xu Chen, Pengfei Wang, Zheng Qin, Yongfeng Zhang
2016WWWEconomic Recommendation with Surplus Maximization.Yongfeng Zhang, Qi Zhao, Yi Zhang, Daniel Friedman, Min Zhang, Yiqun Liu, Shaoping Ma
2016SIGIRLearning to Rank Features for Recommendation over Multiple Categories.Xu Chen, Zheng Qin, Yongfeng Zhang, Tao Xu
2015AAAISoF: Soft-Cluster Matrix Factorization for Probabilistic Clustering.Han Zhao, Pascal Poupart, Yongfeng Zhang, Martin Lysy
2015IJCAICatch the Black Sheep: Unified Framework for Shilling Attack Detection Based on Fraudulent Action Propagation.Yongfeng Zhang, Yunzhi Tan, Min Zhang, Yiqun Liu, Tat-Seng Chua, Shaoping Ma
2015WWWDaily-Aware Personalized Recommendation based on Feature-Level Time Series Analysis.Yongfeng Zhang, Min Zhang, Yi Zhang, Guokun Lai, Yiqun Liu, Honghui Zhang, Shaoping Ma
2015WSDMIncorporating Phrase-level Sentiment Analysis on Textual Reviews for Personalized Recommendation.Yongfeng Zhang
2014CIKMUnderstanding the Sparsity: Augmented Matrix Factorization with Sampled Constraints on Unobservables.Yongfeng Zhang, Min Zhang, Yi Zhang, Yiqun Liu, Shaoping Ma
2014IJCNNInterpolating Deep Spatio-Temporal Inference Network features for image classification.Yongfeng Zhang, Changjing Shang, Qiang Shen
2014RecSysBrowser-oriented universal cross-site recommendation and explanation based on user browsing logs.Yongfeng Zhang
2014SIGIRExplicit factor models for explainable recommendation based on phrase-level sentiment analysis.Yongfeng Zhang, Guokun Lai, Min Zhang, Yi Zhang, Yiqun Liu, Shaoping Ma
2014SIGIRDo users rate or review?: boost phrase-level sentiment labeling with review-level sentiment classification.Yongfeng Zhang, Haochen Zhang, Min Zhang, Yiqun Liu, Shaoping Ma
2013WWWLocalized matrix factorization for recommendation based on matrix block diagonal forms.Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma, Shi Feng
2013SIGIRImprove collaborative filtering through bordered block diagonal form matrices.Yongfeng Zhang, Min Zhang, Yiqun Liu, Shaoping Ma
2009HISResearch on Turn Ratio of Magnetic Valve Type Controlled Reactor Based on Bifurcation Theory.Yongfeng Zhang, Xingong Cheng, Xiju Zong