He, Xiangnan

Explainable Reasoning over Knowledge Graphs for Recommendation

Wang, X., Wang, D., Xu, C., He, X., Cao, Y., & Chua, T.-S. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Recommender Systems and TechniquesAdvanced Graph Neural Networks

Cited by 785

Bias and Debias in Recommender System: A Survey and Future Directions

Chen, J., Dong, H., Wang, X., Feng, F., Wang, M., & He, X. (2023) · ACM Transactions on Information Systems

Recommender Systems and TechniquesEthics and Social Impacts of AI

Cited by 741

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Bao, K., Zhang, J., Zhang, Y., Wang, W., Feng, F., & He, X. (2023) · Proceedings of the 17th ACM Conference on Recommender Systems

Recommender Systems and TechniquesTopic Modeling

Cited by 469

Causal Intervention for Leveraging Popularity Bias in Recommendation

Zhang, Y., Feng, F., He, X., Wei, T., Song, C., Ling, G., & Zhang, Y. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 443

Disentangling User Interest and Conformity for Recommendation with Causal Embedding

Zheng, Y., Gao, C., Li, X., He, X., Li, Y., & Jin, D. (2021) · Proceedings of the Web Conference 2021

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 356

Estimation-Action-Reflection: Towards Deep Interaction Between Conversational and Recommender Systems

Lei, W., He, X., Miao, Y., Wu, Q., Hong, R., Kan, M.-Y., & Chua, T.-S. (2020) · Proceedings of the 13th International Conference on Web Search and Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 253

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Zhang, J., Bao, K., Zhang, Y., Wang, W., Feng, F., & He, X. (2023) · arXiv

Ethics and Social Impacts of AIRecommender Systems and Techniques

Cited by 196

AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models

Fang, J., Jiang, H., Wang, K., Ma, Y., Jie, S., Wang, X., He, X., & Chua, T.-S. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 170

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation

Zhang, Y., Feng, F., Zhang, J., Bao, K., Wang, Q., & He, X. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 146

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation

Zhao, Z., Chen, J., Zhou, S., He, X., Cao, X., Zhang, F., & Wu, W. (2023) · IEEE Transactions on Knowledge and Data Engineering

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 117

Large Language Models are Learnable Planners for Long-Term Recommendation

Shi, W., He, X., Zhang, Y., Gao, C., Li, X., Zhang, J., Wang, Q., & Feng, F. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 35

Generative Recommendation: Towards Next-generation Recommender Paradigm

Wang, W., Lin, X., Feng, F., He, X., & Chua, T.-S. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 34

Reinforced Prompt Personalization for Recommendation with Large Language Models

Mao, W., Wu, J., Chen, W., Gao, C., Wang, X., & He, X. (2025) · ACM Transactions on Information Systems

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 20

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation

Cai, S., Zhang, J., Bao, K., Gao, C., Wang, Q., Feng, F., & He, X. (2024) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 14

AnyEdit: Edit Any Knowledge Encoded in Language Models

Jiang, H., Fang, J., Zhang, N., Ma, G., Wan, M., Wang, X., He, X., & Chua, T.-S. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0