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Xiangnan He

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

202

Venues

24

Active years

2009–2026

Best venue rank

A*

Where they publish

Papers

202 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLAJ-Bench: Benchmarking Agent-as-a-Judge for Environment-Aware Evaluation.Wentao Shi, Yu Wang, Yuyang Zhao, Yuxin Chen, Fuli Feng, Xueyuan Hao, Xi Su, Qi Gu, Hui Su, Xunliang Cai, Xiangnan He
2026ACLEfficient Multi-Agent System Training with Data Influence-Oriented Tree Search.Wentao Shi, Zichun Yu, Fuli Feng, Xiangnan He, Chenyan Xiong
2026ACLMitigating Hallucinations in Large Vision-Language Models without Performance Degradation.Xingyu Zhu, Junfeng Fang, Shuo Wang, Beier Zhu, Zhicai Wang, Yonghui Yang, Xiangnan He
2026WWWLPEdit: Locality-Preserving Knowledge Editing for MultiModal Large Language Models.Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Xingyu Zhu, Xiang Wang, Xiangnan He
2026SIGIRBeyond Static Best-of-N: Bayesian List-wise Alignment for LLM-based Recommendation.Ruijun Chen, Chongming Gao, Jiawei Chen, Weiqin Yang, Xiangnan He
2026SIGIRAlpsBench: An LLM Personalization Benchmark for Real-Dialogue Memorization and Preference Alignment.Jianfei Xiao, Xiang Yu, Chengbing Wang, Wuqiang Zheng, Xinyu Lin, Kaining Liu, Hongxun Ding, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2025ACLCustomizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation.Keqin Bao, Ming Yan, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2025ACLPersonalized Generation In Large Model Era: A Survey.Yiyan Xu, Jinghao Zhang, Alireza Salemi, Xinting Hu, Wenjie Wang, Fuli Feng, Hamed Zamani, Xiangnan He, Tat-Seng Chua
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
2025CIKMAppAgent-Pro: A Proactive GUI Agent System for Multidomain Information Integration and User Assistance.Yuyang Zhao, Wentao Shi, Fuli Feng, Xiangnan He
2025CVPRPrecise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters.Yuan Wang, Ouxiang Li, Tingting Mu, Yanbin Hao, Kuien Liu, Xiang Wang, Xiangnan He
2025EMNLPRoute Sparse Autoencoder to Interpret Large Language Models.Wei Shi, Sihang Li, Tao Liang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He
2025ICLRUnified Parameter-Efficient Unlearning for LLMs.Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2025ICLRAlphaEdit: Null-Space Constrained Knowledge Editing for Language Models.Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025ICLRTowards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization.Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025ICMLLarger or Smaller Reward Margins to Select Preferences for LLM Alignment?Kexin Huang, Junkang Wu, Ziqian Chen, Xue Wang, Jinyang Gao, Bolin Ding, Jiancan Wu, Xiangnan He, Xiang Wang
2025ICMLAnyEdit: Edit Any Knowledge Encoded in Language Models.Houcheng Jiang, Junfeng Fang, Ningyu Zhang, Mingyang Wan, Guojun Ma, Xiang Wang, Xiangnan He, Tat-Seng Chua
2025ICMLDAMA: Data- and Model-aware Alignment of Multi-modal LLMs.Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025ICMLAlphaDPO: Adaptive Reward Margin for Direct Preference Optimization.Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He
2025WWWGenerative Recommendation: Towards Personalized Multimodal Content Generation.Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua
2025WWWSPRec: Self-Play to Debias LLM-based Recommendation.Chongming Gao, Ruijun Chen, Shuai Yuan, Kexin Huang, Yuanqing Yu, Xiangnan He
2025WWWPersonalized Image Generation with Large Multimodal Models.Yiyan Xu, Wenjie Wang, Yang Zhang, Biao Tang, Peng Yan, Fuli Feng, Xiangnan He
2025WWWThe 3rd Workshop on Personal Intelligence with Generative AI.Yang Zhang, Wenjie Wang, Xinyu Lin, Fuli Feng, Hongzhi Yin, Wayne Xin Zhao, Lina Yao, Yang Song, Xiangnan He
2025WWWExplainable and Efficient Editing for Large Language Models.Tianyu Zhang, Junfeng Fang, Houcheng Jiang, Baolong Bi, Xiang Wang, Xiangnan He
2025SIGIRAgentic Feedback Loop Modeling Improves Recommendation and User Simulation.Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Qifan Wang, Fuli Feng, Xiangnan He
2025SIGIRProcess-Supervised LLM Recommenders via Flow-guided Tuning.Chongming Gao, Mengyao Gao, Chenxiao Fan, Shuai Yuan, Wentao Shi, Xiangnan He
2025SIGIRMulti-Grained Patch Training for Efficient LLM-based Recommendation.Jiayi Liao, Ruobing Xie, Sihang Li, Xiang Wang, Xingwu Sun, Zhanhui Kang, Xiangnan He
2025SIGIRAddressing Missing Data Issue for Diffusion-based Recommendation.Wenyu Mao, Zhengyi Yang, Jiancan Wu, Haozhe Liu, Yancheng Yuan, Xiang Wang, Xiangnan He
2024AAAIText-to-Image Generation for Abstract Concepts.Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang
2024AAAIBoosting Few-Shot Learning via Attentive Feature Regularization.Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
2024ACLText-like Encoding of Collaborative Information in Large Language Models for Recommendation.Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He
2024CIKMPreliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian
2024CVPREnhance Image Classification via Inter-Class Image Mixup with Diffusion Model.Zhicai Wang, Longhui Wei, Tan Wang, Heyu Chen, Yanbin Hao, Xiang Wang, Xiangnan He, Qi Tian
2024ICLRTowards 3D Molecule-Text Interpretation in Language Models.Sihang Li, Zhiyuan Liu, Yanchen Luo, Xiang Wang, Xiangnan He, Kenji Kawaguchi, Tat-Seng Chua, Qi Tian
2024ICLRBe Aware of the Neighborhood Effect: Modeling Selection Bias under Interference.Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
2024ICMLA3S: A General Active Clustering Method with Pairwise Constraints.Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang
2024WWWProactive Recommendation with Iterative Preference Guidance.Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He
2024WWWEXGC: Bridging Efficiency and Explainability in Graph Condensation.Junfeng Fang, Xinglin Li, Yongduo Sui, Yuan Gao, Guibin Zhang, Kun Wang, Xiang Wang, Xiangnan He
2024WWWSimulating Human Society with Large Language Model Agents: City, Social Media, and Economic System.Chen Gao, Fengli Xu, Xu Chen, Xiang Wang, Xiangnan He, Yong Li
2024WWWItem-side Fairness of Large Language Model-based Recommendation System.Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He
2024WWWLower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He
2024WWWThe 2nd Workshop on Recommendation with Generative Models.Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He
2024WWWLarge Language Models for Recommendation: Progresses and Future Directions.Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2024SIGIRLLaRA: Large Language-Recommendation Assistant.Jiayi Liao, Sihang Li, Zhengyi Yang, Jiancan Wu, Yancheng Yuan, Xiang Wang, Xiangnan He
2024SIGIRLarge Language Models are Learnable Planners for Long-Term Recommendation.Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng
2024SIGIRFair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He
2024SIGIRDiffusion Models for Generative Outfit Recommendation.Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He
2024SIGIRLeave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He
2023AAAIKnowledge Graph Embedding by Normalizing Flows.Changyi Xiao, Xiangnan He, Yixin Cao
2023ACLCounterfactual Active Learning for Out-of-Distribution Generalization.Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao
2023BMVCHow Can Contrastive Pre-training Benefit Audio-Visual Segmentation? A Study from Supervised and Zero-shot Perspectives.Jiarui Yu, Haoran Li, Yanbin Hao, Jinmeng Wu, Tong Xu, Shuo Wang, Xiangnan He
2023CIKMThe 1st Workshop on Recommendation with Generative Models.Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun
2023CVPRBi-Directional Distribution Alignment for Transductive Zero-Shot Learning.Zhicai Wang, Yanbin Hao, Tingting Mu, Ouxiang Li, Shuo Wang, Xiangnan He
2023EMNLPAttack Prompt Generation for Red Teaming and Defending Large Language Models.Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He
2023ICDEModelling High-Order Social Relations for Item Recommendation (Extended Abstract).Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
2023ICDELightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction.Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He
2023ICDEModeling Product's Visual and Functional Characteristics for Recommender Systems (Extended Abstract).Bin Wu, Xiangnan He, Yu Chen, Liqiang Nie, Kai Zheng, Yangdong Ye
2023IJCAIDiscriminative-Invariant Representation Learning for Unbiased Recommendation.Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He
2023RecSysTALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023RecSysADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou
2023RecSysRecAD: Towards A Unified Library for Recommender Attack and Defense.Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He
2023RecSysIs ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He
2023WWWAdap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He
2023WWWAddressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2023WWWOn the Theories Behind Hard Negative Sampling for Recommendation.Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He
2023WWWGIF: A General Graph Unlearning Strategy via Influence Function.Jiancan Wu, Yi Yang, Yuchun Qian, Yongduo Sui, Xiang Wang, Xiangnan He
2023SIGIRAlleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation.Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He
2023SIGIRDiffusion Recommender Model.Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua
2023SIGIRCausal Recommendation: Progresses and Future Directions.Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He
2023SIGIRA Generic Learning Framework for Sequential Recommendation with Distribution Shifts.Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang
2023SIGIRReformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang
2023WSDMUnbiased Knowledge Distillation for Recommendation.Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He
2023WSDMCooperative Explanations of Graph Neural Networks.Junfeng Fang, Xiang Wang, An Zhang, Zemin Liu, Xiangnan He, Tat-Seng Chua
2023WSDMAlleviating Structural Distribution Shift in Graph Anomaly Detection.Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang
2022ACLLearning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua
2022CIKMKuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems.Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua
2022CIKMKuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos.Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He
2022CIKMSelf-Supervised Learning for Recommendation.Chao Huang, Lianghao Xia, Xiang Wang, Xiangnan He, Dawei Yin
2022CVPRGroup Contextualization for Video Recognition.Yanbin Hao, Hao Zhang, Chong-Wah Ngo, Xiangnan He
2022EMNLPDebiasGAN: Eliminating Position Bias in News Recommendation with Adversarial Learning.Chuhan Wu, Fangzhao Wu, Xiangnan He, Yongfeng Huang
2022ICLRDiscovering Invariant Rationales for Graph Neural Networks.Yingxin Wu, Xiang Wang, An Zhang, Xiangnan He, Tat-Seng Chua
2022ICMLLet Invariant Rationale Discovery Inspire Graph Contrastive Learning.Sihang Li, Xiang Wang, An Zhang, Yingxin Wu, Xiangnan He, Tat-Seng Chua
2022KDDAddressing Unmeasured Confounder for Recommendation with Sensitivity Analysis.Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang
2022KDDCausal Attention for Interpretable and Generalizable Graph Classification.Yongduo Sui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022WWWIHGNN: Interactive Hypergraph Neural Network for Personalized Product Search.Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He
2022WWWCross Pairwise Ranking for Unbiased Item Recommendation.Qi Wan, Xiangnan He, Xiang Wang, Jiancan Wu, Wei Guo, Ruiming Tang
2022WWWCausal Representation Learning for Out-of-Distribution Recommendation.Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua
2022WWWLearning Robust Recommenders through Cross-Model Agreement.Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He
2022SIGIRInterpolative Distillation for Unifying Biased and Debiased Recommendation.Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang
2022SIGIRSelf-Supervised Learning for Recommender System.Chao Huang, Xiang Wang, Xiangnan He, Dawei Yin
2022WSDMGraph Neural Networks for Recommender System.Chen Gao, Xiang Wang, Xiangnan He, Yong Li
2021ACLEmpowering Language Understanding with Counterfactual Reasoning.Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
2021CIKMA Deep Learning Framework for Self-evolving Hierarchical Community Detection.Daizong Ding, Mi Zhang, Hanrui Wang, Xudong Pan, Min Yang, Xiangnan He
2021CIKMDisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network.Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He
2021ICDEOn Disambiguating Authors: Collaboration Network Reconstruction in a Bottom-up Manner.Na Li, Renyu Zhu, Xiaoxu Zhou, Xiangnan He, Wenyuan Cai, Ming Gao, Aoying Zhou
2021IJCAIGraph Learning based Recommender Systems: A Review.Shoujin Wang, Liang Hu, Yan Wang, Xiangnan He, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Francesco Ricci, Philip S. Yu
2021KDDDeconfounded Recommendation for Alleviating Bias Amplification.Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua
2021KDDModel-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He
2021RecSysBias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021.Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He
2021WWWOn the Equivalence of Decoupled Graph Convolution Network and Label Propagation.Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui
2021WWWLearning Intents behind Interactions with Knowledge Graph for Recommendation.Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua
2021WWWDisentangling User Interest and Conformity for Recommendation with Causal Embedding.Yu Zheng, Chen Gao, Xiang Li, Xiangnan He, Yong Li, Depeng Jin
2021SIGIRAutoDebias: Learning to Debias for Recommendation.Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang
2021SIGIRShould Graph Convolution Trust Neighbors? A Simple Causal Inference Method.Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua
2021SIGIRClicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue.Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua
2021SIGIRSelf-supervised Graph Learning for Recommendation.Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie
2021SIGIRCausal Intervention for Leveraging Popularity Bias in Recommendation.Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang
2021WSDMDenoising Implicit Feedback for Recommendation.Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua
2020AAAIImproving the Robustness of Wasserstein Embedding by Adversarial PAC-Bayesian Learning.Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2020AAAIMining Unfollow Behavior in Large-Scale Online Social Networks via Spatial-Temporal Interaction.Haozhe Wu, Zhiyuan Hu, Jia Jia, Yaohua Bu, Xiangnan He, Tat-Seng Chua
2020ICDESyndrome-aware Herb Recommendation with Multi-Graph Convolution Network.Yuanyuan Jin, Wei Zhang, Xiangnan He, Xinyu Wang, Xiaoling Wang
2020ICDEImproving Neural Relation Extraction with Implicit Mutual Relations.Jun Kuang, Yixin Cao, Jianbing Zheng, Xiangnan He, Ming Gao, Aoying Zhou
2020ICDEPrice-aware Recommendation with Graph Convolutional Networks.Yu Zheng, Chen Gao, Xiangnan He, Yong Li, Depeng Jin
2020ICDMModeling Personalized Out-of-Town Distances in Location Recommendation.Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2020ICDMFast Adaptation for Cold-start Collaborative Filtering with Meta-learning.Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang
2020IJCAIBilinear Graph Neural Network with Neighbor Interactions.Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang
2020KDDEnterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network.Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong
2020KDDInteractive Path Reasoning on Graph for Conversational Recommendation.Wenqiang Lei, Gangyi Zhang, Xiangnan He, Yisong Miao, Xiang Wang, Liang Chen, Tat-Seng Chua
2020WWWReinforced Negative Sampling over Knowledge Graph for Recommendation.Xiang Wang, Yaokun Xu, Xiangnan He, Yixin Cao, Meng Wang, Tat-Seng Chua
2020WWWFuture Data Helps Training: Modeling Future Contexts for Session-based Recommendation.Fajie Yuan, Xiangnan He, Haochuan Jiang, Guibing Guo, Jian Xiong, Zhezhao Xu, Yilin Xiong
2020SIGIRLightGCN: Simplifying and Powering Graph Convolution Network for Recommendation.Xiangnan He, Kuan Deng, Xiang Wang, Yan Li, Yong-Dong Zhang, Meng Wang
2020SIGIRBundle Recommendation with Graph Convolutional Networks.Jianxin Chang, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2020SIGIRFinIR 2020: The First Workshop on Information Retrieval in Finance.Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua
2020SIGIRModeling Personalized Item Frequency Information for Next-basket Recommendation.Haoji Hu, Xiangnan He, Jinyang Gao, Zhi-Li Zhang
2020SIGIRMulti-behavior Recommendation with Graph Convolutional Networks.Bowen Jin, Chen Gao, Xiangnan He, Depeng Jin, Yong Li
2020SIGIRConversational Recommendation: Formulation, Methods, and Evaluation.Wenqiang Lei, Xiangnan He, Maarten de Rijke, Tat-Seng Chua
2020SIGIRCertifiable Robustness to Discrete Adversarial Perturbations for Factorization Machines.Yang Liu, Xianzhuo Xia, Liang Chen, Xiangnan He, Carl Yang, Zibin Zheng
2020SIGIRHierarchical Fashion Graph Network for Personalized Outfit Recommendation.Xingchen Li, Xiang Wang, Xiangnan He, Long Chen, Jun Xiao, Tat-Seng Chua
2020SIGIRDisentangled Graph Collaborative Filtering.Xiang Wang, Hongye Jin, An Zhang, Xiangnan He, Tong Xu, Tat-Seng Chua
2020SIGIRParameter-Efficient Transfer from Sequential Behaviors for User Modeling and Recommendation.Fajie Yuan, Xiangnan He, Alexandros Karatzoglou, Liguang Zhang
2020SIGIRHow to Retrain Recommender System?: A Sequential Meta-Learning Method.Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang
2020WSDMEstimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems.Wenqiang Lei, Xiangnan He, Yisong Miao, Qingyun Wu, Richang Hong, Min-Yen Kan, Tat-Seng Chua
2020WSDMNLP4REC: The WSDM 2020 Workshop on Natural Language Processing for Recommendations.Pengjie Ren, Zhaochun Ren, Fei Sun, Xiangnan He, Dawei Yin, Maarten de Rijke
2020WSDMLearning and Reasoning on Graph for Recommendation.Xiang Wang, Xiangnan He, Tat-Seng Chua
2019AAAIBeyond RNNs: Positional Self-Attention with Co-Attention for Video Question Answering.Xiangpeng Li, Jingkuan Song, Lianli Gao, Xianglong Liu, Wenbing Huang, Xiangnan He, Chuang Gan
2019AAAIExplainable Reasoning over Knowledge Graphs for Recommendation.Xiang Wang, Dingxian Wang, Canran Xu, Xiangnan He, Yixin Cao, Tat-Seng Chua
2019CIKMLearning and Reasoning on Graph for Recommendation.Xiang Wang, Xiangnan He, Tat-Seng Chua
2019ICCVCounterfactual Critic Multi-Agent Training for Scene Graph Generation.Long Chen, Hanwang Zhang, Jun Xiao, Xiangnan He, Shiliang Pu, Shih-Fu Chang
2019ICDENeural Multi-task Recommendation from Multi-behavior Data.Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin
2019IJCAISemi-supervised User Profiling with Heterogeneous Graph Attention Networks.Weijian Chen, Yulong Gu, Zhaochun Ren, Xiangnan He, Hongtao Xie, Tong Guo, Dawei Yin, Yongdong Zhang
2019IJCAIMatching User with Item Set: Collaborative Bundle Recommendation with Deep Attention Network.Liang Chen, Yang Liu, Xiangnan He, Lianli Gao, Zibin Zheng
2019IJCAIReinforced Negative Sampling for Recommendation with Exposure Data.Jingtao Ding, Yuhan Quan, Xiangnan He, Yong Li, Depeng Jin
2019IJCAIEnhancing Stock Movement Prediction with Adversarial Training.Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua
2019IJCAICFM: Convolutional Factorization Machines for Context-Aware Recommendation.Xin Xin, Bo Chen, Xiangnan He, Dong Wang, Yue Ding, Joemon M. Jose
2019KDDλOpt: Learn to Regularize Recommender Models in Finer Levels.Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang
2019KDDModeling Extreme Events in Time Series Prediction.Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Xiangnan He
2019KDDSets2Sets: Learning from Sequential Sets with Neural Networks.Haoji Hu, Xiangnan He
2019KDDKGAT: Knowledge Graph Attention Network for Recommendation.Xiang Wang, Xiangnan He, Yixin Cao, Meng Liu, Tat-Seng Chua
2019WWWUnifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences.Yixin Cao, Xiang Wang, Xiangnan He, Zikun Hu, Tat-Seng Chua
2019WWWCross-domain Recommendation Without Sharing User-relevant Data.Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin
2019SIGIRNeural Graph Collaborative Filtering.Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua
2019SIGIRRelational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation.Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang, Joemon M. Jose
2019SIGIRInterpretable Fashion Matching with Rich Attributes.Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua
2019WSDMDeep Learning for Matching in Search and Recommendation.Jun Xu, Xiangnan He, Hang Li
2019WSDMA Simple Convolutional Generative Network for Next Item Recommendation.Fajie Yuan, Alexandros Karatzoglou, Ioannis Arapakis, Joemon M. Jose, Xiangnan He
2018AAAIGroup-Pair Convolutional Neural Networks for Multi-View Based 3D Object Retrieval.Zan Gao, Deyu Wang, Xiangnan He, Hua Zhang
2018ACLBatch IS NOT Heavy: Learning Word Representations From All Samples.Xin Xin, Fajie Yuan, Xiangnan He, Joemon M. Jose
2018ACLSequicity: Simplifying Task-oriented Dialogue Systems with Single Sequence-to-Sequence Architectures.Wenqiang Lei, Xisen Jin, Min-Yen Kan, Zhaochun Ren, Xiangnan He, Dawei Yin
2018ICDEA Graph-Theoretic Fusion Framework for Unsupervised Entity Resolution.Dongxiang Zhang, Long Guo, Xiangnan He, Jie Shao, Sai Wu, Heng Tao Shen
2018IJCAIOuter Product-based Neural Collaborative Filtering.Xiangnan He, Xiaoyu Du, Xiang Wang, Feng Tian, Jinhui Tang, Tat-Seng Chua
2018IJCAIA^3NCF: An Adaptive Aspect Attention Model for Rating Prediction.Zhiyong Cheng, Ying Ding, Xiangnan He, Lei Zhu, Xuemeng Song, Mohan S. Kankanhalli
2018IJCAIImproving Implicit Recommender Systems with View Data.Jingtao Ding, Guanghui Yu, Xiangnan He, Yuhan Quan, Yong Li, Tat-Seng Chua, Depeng Jin, Jiajie Yu
2018IJCAIDiscrete Factorization Machines for Fast Feature-based Recommendation.Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang
2018IJCAICross-Domain Depression Detection via Harvesting Social Media.Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall
2018MMMVenue Prediction for Social Images by Exploiting Rich Temporal Patterns in LBSNs.Jingyuan Chen, Xiangnan He, Xuemeng Song, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua
2018WWWAn Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin
2018WWWLearning on Partial-Order Hypergraphs.Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua
2018WWWTEM: Tree-enhanced Embedding Model for Explainable Recommendation.Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua
2018WWWAesthetic-based Clothing Recommendation.Wenhui Yu, Huidi Zhang, Xiangnan He, Xu Chen, Li Xiong, Zheng Qin
2018SIGIRBiNE: Bipartite Network Embedding.Ming Gao, Leihui Chen, Xiangnan He, Aoying Zhou
2018SIGIRAdversarial Personalized Ranking for Recommendation.Xiangnan He, Zhankui He, Xiaoyu Du, Tat-Seng Chua
2018SIGIRAttentive Group Recommendation.Da Cao, Xiangnan He, Lianhai Miao, Yahui An, Chao Yang, Richang Hong
2018SIGIRAttentive Moment Retrieval in Videos.Meng Liu, Xiang Wang, Liqiang Nie, Xiangnan He, Baoquan Chen, Tat-Seng Chua
2018SIGIRFast Scalable Supervised Hashing.Xin Luo, Liqiang Nie, Xiangnan He, Ye Wu, Zhen-Duo Chen, Xin-Shun Xu
2018SIGIRInformation Discovery in E-commerce: Half-day SIGIR 2018 Tutorial.Zhaochun Ren, Xiangnan He, Dawei Yin, Maarten de Rijke
2018SIGIRA Personal Privacy Preserving Framework: I Let You Know Who Can See What.Xuemeng Song, Xiang Wang, Liqiang Nie, Xiangnan He, Zhumin Chen, Wei Liu
2018SIGIRDeep Learning for Matching in Search and Recommendation.Jun Xu, Xiangnan He, Hang Li
2018UAIfFajie Yuan, Xin Xin, Xiangnan He, Guibing Guo, Weinan Zhang, Tat-Seng Chua, Joemon M. Jose
2017CIKMSMASC 2017: First International Workshop on Social Media Analytics for Smart Cities.Manjira Sinha, Xiangnan He, Alessandro Bozzon, Sandya Mannarswamy, Pradeep K. Murukannaiah, Tridib Mukherjee
2017ICONIPAdaptive L_p (0 Regularization: Oracle Property and Applications.Yunxiao Shi, Xiangnan He, Han Wu, Zhong-Xiao Jin, Wenlian Lu
2017IJCAISWIM: A Simple Word Interaction Model for Implicit Discourse Relation Recognition.Wenqiang Lei, Xuancong Wang, Meichun Liu, Ilija Ilievski, Xiangnan He, Min-Yen Kan
2017IJCAIRepresentativeness-aware Aspect Analysis for Brand Monitoring in Social Media.Lizi Liao, Xiangnan He, Zhaochun Ren, Liqiang Nie, Huan Xu, Tat-Seng Chua
2017IJCAIAttentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks.Jun Xiao, Hao Ye, Xiangnan He, Hanwang Zhang, Fei Wu, Tat-Seng Chua
2017WWWA Generic Coordinate Descent Framework for Learning from Implicit Feedback.Immanuel Bayer, Xiangnan He, Bhargav Kanagal, Steffen Rendle
2017WWWNeural Collaborative Filtering.Xiangnan He, Lizi Liao, Hanwang Zhang, Liqiang Nie, Xia Hu, Tat-Seng Chua
2017SIGIRNeural Factorization Machines for Sparse Predictive Analytics.Xiangnan He, Tat-Seng Chua
2017SIGIREmbedding Factorization Models for Jointly Recommending Items and User Generated Lists.Da Cao, Liqiang Nie, Xiangnan He, Xiaochi Wei, Shunzhi Zhu, Tat-Seng Chua
2017SIGIRAttentive Collaborative Filtering: Multimedia Recommendation with Item- and Component-Level Attention.Jingyuan Chen, Hanwang Zhang, Xiangnan He, Liqiang Nie, Wei Liu, Tat-Seng Chua
2017SIGIRItem Silk Road: Recommending Items from Information Domains to Social Users.Xiang Wang, Xiangnan He, Liqiang Nie, Tat-Seng Chua
2016SIGIRFast Matrix Factorization for Online Recommendation with Implicit Feedback.Xiangnan He, Hanwang Zhang, Min-Yen Kan, Tat-Seng Chua
2016SIGIRDiscrete Collaborative Filtering.Hanwang Zhang, Fumin Shen, Wei Liu, Xiangnan He, Huanbo Luan, Tat-Seng Chua
2015AAAIVELDA: Relating an Image Tweet's Text and Images.Tao Chen, Hany M. SalahEldeen, Xiangnan He, Min-Yen Kan, Dongyuan Lu
2015CIKMTriRank: Review-aware Explainable Recommendation by Modeling Aspects.Xiangnan He, Tao Chen, Min-Yen Kan, Xiao Chen
2015ISCCDifferential spread strategy: An incentive for advertisement dissemination.Xiao Chen, Min Liu, Yaqin Zhou, Zhongcheng Li, Shuang Chen, Xiangnan He
2014WWWComment-based multi-view clustering of web 2.0 items.Xiangnan He, Min-Yen Kan, Peichu Xie, Xiao Chen
2014SIGIRPredicting the popularity of web 2.0 items based on user comments.Xiangnan He, Ming Gao, Min-Yen Kan, Yiqun Liu, Kazunari Sugiyama
2013EMNLPMining Scientific Terms and their Definitions: A Study of the ACL Anthology.Yiping Jin, Min-Yen Kan, Jun-Ping Ng, Xiangnan He
2013ICONIPNeuronal Synfire Chain via Moment Neuronal Network Approach.Xiangnan He, Wenlian Lu, Jianfeng Feng
2012IJCNNA note on adaptive Lp regularization.Xiangnan He, Wenlian Lu, Tianping Chen
2010APWEBRecording How-Provenance on Probabilistic Databases.Ming Gao, Xiangnan He, Cheqing Jin, Xiaoling Wang, Aoying Zhou
2009ISNNNonnegative Periodic Dynamics of Cohen-Grossberg Neural Networks with Discontinuous Activations and Discrete Time Delays.Xiangnan He, Wenlian Lu, Tianping Chen