Tianjun Wei

According to our database, Tianjun Wei authored at least 14 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang

CoRR, July, 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, Jianghong Ma, Jiao Liu, Tianjun Wei

CoRR, June, 2025

Reinforcement Speculative Decoding for Fast Ranking.

Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang

CoRR, May, 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, Xiaolei Lu

IEEE Trans. Syst. Man Cybern. Syst., April, 2025

Enhancing New-item Fairness in Dynamic Recommender Systems.

Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

RocketEval: Efficient automated LLM evaluation via grading checklist.

Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

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., December, 2024

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., December, 2023

FGCR: Fused graph context-aware recommender system.

Tianjun Wei, Tommy W. S. Chow

Knowl. Based Syst., October, 2023

FPSR Implementation.

Tianjun Wei, Jianghong Ma, Tommy W. S. Chow

Dataset, February, 2023

ExpGCN: Review-aware Graph Convolution Network for explainable recommendation.

Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao

Neural Networks, 2023

Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation.

Tianjun Wei, Jianghong Ma, Tommy W. S. Chow

Proceedings of the ACM Web Conference 2023, 2023

Collaborative Residual Metric Learning.

Tianjun Wei, Jianghong Ma, Tommy W. S. Chow

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

2022

Efficient and Scalable Recommendation via Item-Item Graph Partitioning.

Tianjun Wei, Jianghong Ma, Tommy W. S. Chow

CoRR, 2022