Tianjun Wei

According to our database, Tianjun Wei authored at least 25 papers between 2022 and 2026.

Collaborative distances:

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

2026

Through Their Eyes: Fixation-aligned Tuning for Personalized User Emulation.

Lingfeng Huang, Huizhong Guo, Tianjun Wei, Yingpeng Du, Zhu Sun

CoRR, April, 2026

When should I search more: Adaptive Complex Query Optimization with Reinforcement Learning.

Wei Wen, Sihang Deng, Tianjun Wei, Keyu Chen, Ruizhi Qiao, Xing Sun

CoRR, January, 2026

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

CoRR, January, 2026

MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging.

Tianjun Wei, Enneng Yang, Yingpeng Du, Huizhong Guo, Jie Zhang, Zhu Sun

CoRR, January, 2026

ONE-PASS: Single Forward Pass Decoding for Listwise Reranking.

Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang

Proceedings of the ACM Web Conference 2026, 2026

Reinforcement Speculative Decoding for Fast Ranking.

Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems.

Jianghong Ma, Changran He, Dezhao Yang, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation.

Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang

CoRR, August, 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

Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks.

Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang

Proceedings of the 33rd ACM International Conference on Multimedia, 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