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Xiangnan He

  1. LightGCN: Simplifying and Powering Graph Convolution Network for Recommendation
    2020/02/06 by Xiangnan He, Kuan Deng, He, Xiangnan +9 · 167 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Caching and Content Delivery
  2. Neural Collaborative Filtering
    2017/08/16 by Xiangnan He, Lizi Liao, He, Xiangnan +9 · 124 citations
    Computer Science · Social Sciences · #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Information Retrieval (cs.IR) #Music and Audio Processing #Recommender Systems and Techniques
  3. LightGCN
    2020/07/25 by Xiangnan He, Kuan Deng, Xiang Wang +3 · 128 citations
    Computer Science · #Advanced Graph Neural Networks #Image and Video Quality Assessment #Recommender Systems and Techniques
  4. A Survey of Graph Neural Networks for Recommender Systems: Challenges, Methods, and Directions
    2021/09/27 by Chen Gao, Yu Zheng, Gao, Chen +19 · 23 citations
    Computer Science · #Advanced Graph Neural Networks #Recommender Systems and Techniques #Graph Theory and Algorithms
  5. Bias and Debias in Recommender System: A Survey and Future Directions
    2020/10/07 by Jiawei Chen, Chen, Jiawei, Hande Dong +9 · 19 citations
    Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Smart Grid Energy Management
  6. GRCN: Graph-Refined Convolutional Network for Multimedia Recommendation with Implicit Feedback
    2021/11/03 by Wei Yinwei, Yinwei, Wei, Xiang, Wang +6 · 18 citations
    Computer Science · Psychology · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Mental Health via Writing
  7. Generative Recommendation: Towards Next-generation Recommender Paradigm
    2023/04/07 by Wenjie Wang, Wang, Wenjie, Xinyu Lin +7 · 22 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis #Topic Modeling #Multimodal Machine Learning Applications
  8. Temporal Relational Ranking for Stock Prediction
    2019/03/05 by Fuli Feng, Xiangnan He, Xiang Wang +3 · 13 citations
    Computer Science · Decision Sciences · #Data Stream Mining Techniques #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
  9. A Content-Driven Micro-Video Recommendation Dataset at Scale
    2023/09/27 by Yongxin Ni, Yu Cheng, Ni, Yongxin +13 · 21 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  10. A Simple Convolutional Generative Network for Next Item Recommendation
    2018/08/15 by Fajie Yuan, Yuan, Fajie, Alexandros Karatzoglou +7 · 10 citations
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Topic Modeling
  11. CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation
    2023/10/30 by Yang Zhang, Fuli Feng, Zhang, Yang +9 · 20 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling #Machine Learning in Healthcare
  12. LLaRA: Large Language-Recommendation Assistant
    2023/12/05 by Jiayi Liao, Liao, Jiayi, Sihang Li +11 · 19 citations
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Recommender Systems and Techniques #Topic Modeling
  13. Bias and Debias in Recommender System: A Survey and Future Directions
    2023/02/07 by Jiawei Chen, Hande Dong, Xiang Wang +3 · 14 citations
  14. β-DPO: Direct Preference Optimization with Dynamic β
    2024/07/11 by Junkang Wu, Yuexiang Xie, Wu, Junkang +13 · 21 citations
    Computer Science · #Constraint Satisfaction and Optimization #Data Management and Algorithms #Rough Sets and Fuzzy Logic
  15. Adversarial Training Towards Robust Multimedia Recommender System
    2018/09/19 by Jinhui Tang, Xiaoyu Du, Tang, Jinhui +9 · 6 citations
    Computer Science · #Stochastic Gradient Optimization Techniques #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  16. Graph Learning based Recommender Systems: A Review
    2021/05/13 by Shoujin Wang, Liang Hu, Wang, Shoujin +15 · 7 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Topic Modeling
  17. Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure
    2019/02/20 by Fuli Feng, Xiangnan He, Feng, Fuli +5 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Social and Information Networks (cs.SI)
  18. Deep Item-based Collaborative Filtering for Top-N Recommendation
    2018/11/11 by Feng Xue, Xiangnan He, Xue, Feng +9 · 4 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Image and Video Quality Assessment #Advanced Bandit Algorithms Research
  19. Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
    2024/03/28 by Zhicai Wang, Wang, Zhicai, Longhui Wei +13 · 8 citations
    Computer Science · Neuroscience · #AI in cancer detection #Brain Tumor Detection and Classification #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques
  20. A Survey of Adversarial Learning on Graphs
    2020/03/10 by Liang Chen, Jintang Li, Chen, Liang +14 · 5 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Adversarial Robustness in Machine Learning #Complex Network Analysis Techniques
  21. CoLLM: Integrating Collaborative Embeddings Into Large Language Models for Recommendation
    2025/02/12 by Yang Zhang, Fuli Feng, Jizhi Zhang +3 · 13 citations
    Computer Science · #Machine Learning in Healthcare #Recommender Systems and Techniques #Topic Modeling
  22. Reinforced Latent Reasoning for LLM-based Recommendation
    2025/05/25 by Yang Zhang, Zhang, Yang, Wenxin Xu +11 · 17 citations
    Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies #Topic Modeling
  23. Precise, Fast, and Low-cost Concept Erasure in Value Space: Orthogonal Complement Matters
    2024/12/09 by Yuan Wang, Wang, Yuan, Ouxiang Li +11 · 10 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fuzzy Logic and Control Systems #Rough Sets and Fuzzy Logic #Statistical and Computational Modeling
  24. Reason4Rec: Deliberative User Preference Alignment of Large Language Models for Recommendation
    2025/02/04 by Yi Fang, Fang, Yi, Wenjie Wang +11 · 10 citations
    Computer Science · #Recommender Systems and Techniques #Sentiment Analysis and Opinion Mining #Topic Modeling #cs.IR
  25. Text-like Encoding of Collaborative Information in Large Language Models for Recommendation
    2024/06/05 by Yang Zhang, Zhang, Yang, Keqin Bao +9 · 8 citations
    Computer Science · #Recommender Systems and Techniques #Topic Modeling
  26. Let Invariant Rationale Discovery Inspire Graph Contrastive Learning
    2022/06/16 by Sihang Li, Xiang Wang, Li, Sihang +9 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Recommender Systems and Techniques
  27. Personalized Generation In Large Model Era: A Survey
    2025/03/04 by Yuehang Xu, Xu, Yiyan, Jinghao Zhang +15 · 13 citations
    Computer Science · #Distributed and Parallel Computing Systems #Age of Information Optimization
  28. Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
    2023/07/19 by Qingyao Ai, Ting Bai, Ai, Qingyao +63 · 5 citations
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Natural Language Processing Techniques #Topic Modeling
  29. Hierarchical Fashion Graph Network for Personalized Outfit Recommendation
    2020/05/26 by Xingchen Li, Xiang Wang, Li, Xingchen +9 · 3 citations
    Computer Science · #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Visual Attention and Saliency Detection
  30. Adversarial Attack on Large Scale Graph
    2020/09/08 by Jintang Li, Tao Xie, Li, Jintang +9 · 3 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #Adversarial Robustness in Machine Learning
  31. Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization
    2024/07/10 by Junkang Wu, Yuexiang Xie, Wu, Junkang +15 · 6 citations
    Computer Science · #Natural Language Processing Techniques #Speech and dialogue systems
  32. Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation
    2021/09/16 by Zihao Zhao, Jiawei Chen, Zhao, Zihao +11 · 3 citations
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques
  33. BiRank: Towards Ranking on Bipartite Graphs
    2017/08/15 by Xiangnan He, He, Xiangnan, Ming Gao +5 · 2 citations
    Physics and Astronomy · Computer Science · #Complex Network Analysis Techniques #Recommender Systems and Techniques #Advanced Graph Neural Networks
  34. Causal Inference in Recommender Systems: A Survey and Future Directions
    2024/01/02 by Chen Gao, Yu Zheng, Wenjie Wang +3 · 4 citations
    Computer Science · #Advanced Graph Neural Networks #Bayesian Modeling and Causal Inference #Recommender Systems and Techniques
  35. Item-side Fairness of Large Language Model-based Recommendation System
    2024/02/23 by Meng Jiang, Keqin Bao, Jiang, Meng +11 · 4 citations
    Computer Science · #Recommender Systems and Techniques #Technology and Data Analysis
  36. Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients
    2024/03/26 by Zihao Zhao, Zhao, Zihao, Jing Yi +9 · 4 citations
    Medicine · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Medication Adherence and Compliance #Pharmaceutical Practices and Patient Outcomes #Pharmaceutical studies and practices
  37. Modeling Personalized Item Frequency Information for Next-basket Recommendation
    2020/05/31 by Haoji Hu, Hu, Haoji, Xiangnan He +5 · 2 citations
    Computer Science · Decision Sciences · #Recommender Systems and Techniques #Image Retrieval and Classification Techniques #Advanced Bandit Algorithms Research
  38. Understanding Contrastive Learning via Distributionally Robust Optimization
    2023/10/17 by Junkang Wu, Wu, Junkang, Jiawei Chen +9 · 3 citations
    Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques
  39. Modelling High-Order Social Relations for Item Recommendation
    2020/03/23 by Yang Liu, Liang Chen, Liu, Yang +9 · 2 citations
    Computer Science · #Recommender Systems and Techniques #Advanced Graph Neural Networks #Topic Modeling
  40. Rumor Detection with Self-supervised Learning on Texts and Social Graph
    2022/04/19 by Yuan Gao, Xiang Wang, Gao, Yuan +7 · 2 citations
    Social Sciences · Physics and Astronomy · Computer Science · #Misinformation and Its Impacts #Complex Network Analysis Techniques #Spam and Phishing Detection
  41. α-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs
    2024/10/14 by Junkang Wu, Xue Wang, Wu, Junkang +13 · 4 citations
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Constraint Satisfaction and Optimization #Data Management and Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG)
  42. Boosting Few-Shot Learning via Attentive Feature Regularization
    2024/03/23 by Xingyu Zhu, Zhu, Xingyu, Shuo Wang +9 · 3 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM
  43. Learning Vertex Representations for Bipartite Networks
    2019/01/16 by Ming Gao, Gao, Ming, Xiangnan He +9 · 1 citation
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Recommender Systems and Techniques #Social and Information Networks (cs.SI)
  44. Relational Collaborative Filtering:Modeling Multiple Item Relations for Recommendation
    2019/04/29 by Xin Xin, Xin, Xin, Xiangnan He +7 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
  45. RosePO: Aligning LLM-based Recommenders with Human Values
    2024/10/16 by Jiayi Liao, Xiangnan He, Liao, Jiayi +13 · 3 citations
    Computer Science · Decision Sciences · #Semantic Web and Ontologies #Data Quality and Management #Natural Language Processing Techniques
  46. Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning
    2024/10/30 by Keqin Bao, Bao, Keqin, Ming Yan +11 · 2 citations
    Computer Science · #Recommender Systems and Techniques
  47. RecAD: Towards A Unified Library for Recommender Attack and Defense
    2023/09/09 by Changsheng Wang, Wang, Changsheng, Jianbai Ye +9 · 1 citation
    Computer Science · #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Network Security and Intrusion Detection #Spam and Phishing Detection #Topic Modeling
  48. SeViCES: Unifying Semantic-Visual Evidence Consensus for Long Video Understanding
    2025/10/23 by Sheng Yuan, Sheng, Yuan, Yanbin Hao +7 · 2 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis #Multimodal Machine Learning Applications
  49. DAMA: Data- and Model-aware Alignment of Multi-modal LLMs
    2025/02/04 by J.J. Lu, Lu, Jinda, Junkang Wu +15 · 2 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomedical Text Mining and Ontologies #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Natural Language Processing Techniques #Semantic Web and Ontologies
  50. Knowledge Graph Embedding by Normalizing Flows
    2024/09/30 by Changyi Xiao, Xiangnan He, Xiao, Changyi +3 · 1 citation
    Computer Science · #Advanced Graph Neural Networks #Neural Networks and Applications #Data Stream Mining Techniques
  51. ARMOR: Stabilizing On-Policy LLM RL with Off-Policy Anchor Samples
    2026/07/11 by Kexin Huang, Junkang Wu, Jinda Lu +7
    #cs.LG #cs.AI #cs.CL