| 2025 | EMNLP | Latent Inter-User Difference Modeling for LLM Personalization. | Yilun Qiu, Tianhao Shi, Xiaoyan Zhao, Fengbin Zhu, Yang Zhang, Fuli Feng |
| 2025 | EMNLP | Decoding in Latent Spaces for Efficient Inference in LLM-based Recommendation. | Chengbing Wang, Yang Zhang, Zhicheng Wang, Tianhao Shi, Keqin Bao, Fuli Feng, Tat-Seng Chua |
| 2025 | ICASSP | Diffusion Models are Good Unsupervised Class-agnostic Shape Part Segmentators. | Zhongbin Jiang, Tianhao Shi, Hao Gao, Jun Liu, Ye Liu |
| 2025 | WWW | Leveraging Memory Retrieval to Enhance LLM-based Generative Recommendation. | Chengbing Wang, Yang Zhang, Fengbin Zhu, Jizhi Zhang, Tianhao Shi, Fuli Feng |
| 2025 | SIGIR | Fair Recommendation with Biased-Limited Sensitive Attribute. | Jizhi Zhang, Haoyu Shen, Tianhao Shi, Keqin Bao, Xin Chen, Yang Zhang, Fuli Feng |
| 2024 | CIKM | 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 |
| 2024 | ECCV | SphereHead: Stable 3D Full-Head Synthesis with Spherical Tri-Plane Representation. | Heyuan Li, Ce Chen, Tianhao Shi, Yuda Qiu, Sizhe An, Guanying Chen, Xiaoguang Han |
| 2024 | SIGIR | Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. | Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He |
| 2023 | SIGIR | Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. | Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang |