Tianjun Wei - RankMe

29 papers A* 9Journal 19Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. AAAI Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2026	A*	`conf`	Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure. AAAI Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2026	J	`jnl`	MMGRid: Navigating Temporal-aware and Cross-domain Generative Recommendation via Model Merging. CoRR Tianjun Wei, Enneng Yang, Yingpeng Du, Huizhong Guo, Jie Zhang, Zhu Sun
2026	A*	`conf`	ONE-PASS: Single Forward Pass Decoding for Listwise Reranking. WWW Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang
2026	—	`conf`	Reinforcement Speculative Decoding for Fast Ranking. KDD (1) Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang
2026	A*	`conf`	SGMT: Social Generating with Multiview-Guided Tuning In Recommender Systems. AAAI Jianghong Ma, Changran He, Dezhao Yang, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2026	J	`jnl`	Think When Needed: Model-Aware Reasoning Routing for LLM-based Ranking. CoRR Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun
2026	J	`jnl`	When should I search more: Adaptive Complex Query Optimization with Reinforcement Learning. CoRR Wei Wen, Sihang Deng, Tianjun Wei, Keyu Chen, Ruizhi Qiao, Xing Sun
2025	J	`jnl`	Correlation-Driven Explainable Recommendation With Aspect and Rating Boosted Representation Learning: A Unified Joint-Ranking Framework. IEEE Trans. Syst. Man Cybern. Syst. Jianghong Ma, Rong Wang, Tianjun Wei, Kangzhe Liu, Haijun Zhang, Xiaolei Lu
2025	J	`jnl`	Diagnostic-Guided Dynamic Profile Optimization for LLM-based User Simulators in Sequential Recommendation. CoRR Hongyang Liu, Zhu Sun, Tianjun Wei, Yan Wang, Jiajie Zhu, Xinghua Qu
2025	J	`jnl`	Diversity Recommendation via Causal Deconfounding of Co-purchase Relations and Counterfactual Exposure. CoRR Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2025	A*	`conf`	Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks. ACM Multimedia Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2025	J	`jnl`	Dual-Phase Playtime-guided Recommendation: Interest Intensity Exploration and Multimodal Random Walks. CoRR Jingmao Zhang, Zhiting Zhao, Yunqi Lin, Jianghong Ma, Tianjun Wei, Haijun Zhang, Xiaofeng Zhang
2025	A*	`conf`	Enhancing New-item Fairness in Dynamic Recommender Systems. SIGIR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	Enhancing New-item Fairness in Dynamic Recommender Systems. CoRR Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang
2025	J	`jnl`	LLM-Driven Dual-Level Multi-Interest Modeling for Recommendation. CoRR Ziyan Wang, Yingpeng Du, Zhu Sun, Jieyi Bi, Haoyan Chua, Tianjun Wei, Jie Zhang
2025	J	`jnl`	Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation. CoRR Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Chen Huang, Dongxia Wang, Jie Zhang
2025	J	`jnl`	Multi-Objective Recommendation in the Era of Generative AI: A Survey of Recent Progress and Future Prospects. CoRR Zihan Hong, Yushi Wu, Zhiting Zhao, Shanshan Feng, Jianghong Ma, Jiao Liu, Tianjun Wei
2025	J	`jnl`	Reinforcement Speculative Decoding for Fast Ranking. CoRR Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang
2025	J	`jnl`	RocketEval: Efficient Automated LLM Evaluation via Grading Checklist. CoRR Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma
2025	A*	`conf`	RocketEval: Efficient automated LLM evaluation via grading checklist. ICLR Tianjun Wei, Wei Wen, Ruizhi Qiao, Xing Sun, Jianghong Ma
2024	J	`jnl`	FPSR+: Toward Robust, Efficient, and Scalable Collaborative Filtering With Partition-Aware Item Similarity Modeling. IEEE Trans. Knowl. Data Eng. Tianjun Wei, Tommy W. S. Chow, Jianghong Ma
2023	A*	`conf`	Collaborative Residual Metric Learning. SIGIR Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
2023	J	`jnl`	Collaborative Residual Metric Learning. CoRR Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
2023	J	`jnl`	ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. Neural Networks Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao
2023	J	`jnl`	FGCR: Fused graph context-aware recommender system. Knowl. Based Syst. Tianjun Wei, Tommy W. S. Chow
2023	A*	`conf`	Fine-tuning Partition-aware Item Similarities for Efficient and Scalable Recommendation. WWW Tianjun Wei, Jianghong Ma, Tommy W. S. Chow
2023	J	`jnl`	Modeling Self-Representation Label Correlations for Textual Aspects and Emojis Recommendation. IEEE Trans. Neural Networks Learn. Syst. Tianjun Wei, Tommy W. S. Chow, Jianghong Ma
2022	J	`jnl`	Efficient and Scalable Recommendation via Item-Item Graph Partitioning. CoRR Tianjun Wei, Jianghong Ma, Tommy W. S. Chow