Jizhi Zhang

2026

Large Language Model Can Interpret Latent Space of Sequential Recommender.

Zhengyi Yang|Jiancan Wu|Yanchen Luo|Jizhi Zhang|Yancheng Yuan|An Zhang|Xiang Wang|Xiangnan He

ACM Transactions on Information Systems (TOIS) 2026 Volume 44 Issue 3

2025

Navigating Large Language Models for Recommendation: From Architecture to Learning Paradigms and Deployment.

Xinyu Lin|Keqin Bao|Jizhi Zhang|Yang Zhang|Wenjie Wang|Fuli Feng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

Agentic Feedback Loop Modeling Improves Recommendation and User Simulation.

Shihao Cai|Jizhi Zhang|Keqin Bao|Chongming Gao|Qifan Wang|Fuli Feng|Xiangnan He

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

Fair Recommendation with Biased-Limited Sensitive Attribute.

Jizhi Zhang|Haoyu Shen|Tianhao Shi|Keqin Bao|Xin Chen|Yang Zhang|Fuli Feng

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025

Debias Can Be Unreliable: Mitigating Bias in Evaluating Debiasing Recommendation.

Chengbing Wang|Wentao Shi|Jizhi Zhang|Wenjie Wang|Hang Pan|Fuli Feng

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation.

Chengbing Wang|Yang Zhang|Fengbin Zhu|Jizhi Zhang|Tianhao Shi|Fuli Feng

Companion Proceedings of the ACM on Web Conference 2025, WWW 2025, Sydney, NSW, Australia, 28 April 2025 - 2 May 2025

2024

Learnable Item Tokenization for Generative Recommendation.

Wenjie Wang|Honghui Bao|Xinyu Lin|Jizhi Zhang|Yongqi Li|Fuli Feng|See-Kiong Ng|Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024

Large Language Models for Recommendation: Past, Present, and Future.

Keqin Bao|Jizhi Zhang|Xinyu Lin|Yang Zhang|Wenjie Wang|Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

Large 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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.

Tianhao Shi|Yang Zhang|Jizhi Zhang|Fuli Feng|Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

Diffusion Models for Generative Outfit Recommendation.

Yiyan Xu|Wenjie Wang|Fuli Feng|Yunshan Ma|Jizhi Zhang|Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024

Item-side Fairness of Large Language Model-based Recommendation System.

Meng Jiang|Keqin Bao|Jizhi Zhang|Wenjie Wang|Zhengyi Yang|Fuli Feng|Xiangnan He

Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, May 13-17, 2024

Large Language Models for Recommendation: Progresses and Future Directions.

Jizhi Zhang|Keqin Bao|Yang Zhang|Wenjie Wang|Fuli Feng|Xiangnan He

Companion Proceedings of the ACM on Web Conference 2024, WWW 2024, Singapore, Singapore, May 13-17, 2024

2023

Popularity-aware Distributionally Robust Optimization for Recommendation System.

Jujia Zhao|Wenjie Wang|Xinyu Lin|Leigang Qu|Jizhi Zhang|Tat-Seng Chua

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023, Birmingham, United Kingdom, October 21-25, 2023

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts.

Zhengyi Yang|Xiangnan He|Jizhi Zhang|Jiancan Wu|Xin Xin|Jiawei Chen|Xiang Wang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.

Wentao Shi|Jiawei Chen|Fuli Feng|Jizhi Zhang|Junkang Wu|Chongming Gao|Xiangnan He

Proceedings of the ACM Web Conference 2023, WWW 2023, Austin, TX, USA, 30 April 2023 - 4 May 2023