Efficient and Scalable Recommendation via Item-Item Graph Partitioning. - Tianjun Wei; Jianghong Ma; Tommy W. S. Chow (CoRR, 2022)

Collaborative Residual Metric Learning. - Tianjun Wei; Jianghong Ma; Tommy W. S. Chow (SIGIR, 2023)

Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. - Tianjun Wei; Jianghong Ma; Tommy W. S. Chow (WWW, 2023)

ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. - Tianjun Wei; Tommy W. S. Chow; Jianghong Ma; Mingbo Zhao (Neural Networks, 2023)

FPSR Implementation. - Tianjun Wei; Jianghong Ma; Tommy W. S. Chow (Zenodo, 2023)

FGCR: Fused graph context-aware recommender system. - Tianjun Wei; Tommy W. S. Chow (Knowl. Based Syst., 2023)

Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation. - Tianjun Wei; Tommy W. S. Chow; Jianghong Ma (IEEE Trans. Neural Networks Learn. Syst., 2023)

FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling. - Tianjun Wei; Tommy W. S. Chow; Jianghong Ma (IEEE Trans. Knowl. Data Eng., 2024)

RocketEval: Efficient automated LLM evaluation via grading checklist. - Tianjun Wei; Wei Wen; Ruizhi Qiao; Xing Sun 001; Jianghong Ma (ICLR, 2025)

Enhancing New-item Fairness in Dynamic Recommender Systems. - Huizhong Guo; Zhu Sun 001; Dongxia Wang 002; Tianjun Wei; Jinfeng Li; Jie Zhang 002 (SIGIR, 2025)

Correlation-Driven Explainable Recommendation With Aspect and Rating Boosted Representation Learning: A Unified Joint-Ranking Framework. - Jianghong Ma; Rong Wang; Tianjun Wei; Kangzhe Liu; Haijun Zhang 002; Xiaolei Lu (IEEE Trans. Syst. Man Cybern. Syst., 2025)

Reinforcement Speculative Decoding for Fast Ranking. - Yingpeng Du; Tianjun Wei; Zhu Sun 001; Jie Zhang 002 (CoRR, 2025)

Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects. - Zihan Hong; Yushi Wu; Zhiting Zhao; Shanshan Feng 001; Jianghong Ma; Jiao Liu; Tianjun Wei (CoRR, 2025)

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. - Ziyan Wang; Yingpeng Du; Zhu Sun 001; Jieyi Bi; Haoyan Chua; Tianjun Wei; Jie Zhang 002 (CoRR, 2025)