| 2026 | AAAI | Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. | Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu |
| 2026 | AAAI | SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems. | Jianghong Ma, Changran He, Dezhao Yang, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang |
| 2026 | AAAI | Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure. | Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang |
| 2026 | ACL | Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model. | Ziyan Wang, Yingpeng Du, Tianjun Wei, Haoyan Chua, Jieyi Bi, Jie Zhang, Zhu Sun |
| 2026 | ACL | Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation. | Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Huang Chen, Dongxia Wang, Jie Zhang |
| 2026 | KDD | Reinforcement Speculative Decoding for Fast Ranking. | Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang |
| 2026 | WWW | ONE-PASS: Single Forward Pass Decoding for Listwise Reranking. | Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang |
| 2026 | SIGIR | Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking. | Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun |
| 2025 | ICLR | RocketEval: Efficient automated LLM evaluation via grading checklist. | Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma |
| 2025 | SIGIR | Enhancing New-item Fairness in Dynamic Recommender Systems. | Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang |
| 2023 | WWW | Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. | Tianjun Wei, Jianghong Ma, Tommy W. S. Chow |
| 2023 | SIGIR | Collaborative Residual Metric Learning. | Tianjun Wei, Jianghong Ma, Tommy W. S. Chow |