Tianhao Shi

2025

doi dblp
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
doi dblp
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

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

2023

doi dblp
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.
Yang Zhang|Tianhao Shi|Fuli Feng|Wenjie Wang|Dingxian Wang|Xiangnan He|Yongdong Zhang
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2023, Taipei, Taiwan, July 23-27, 2023