Jie Peng (彭杰) is presently a Ph.D. candidate (graduating June 2028) at the Gaoling School of Artificial Intelligence, Renmin University of China, under the supervision of Prof. Zhewei Wei. Prior to this, he received his B.E. degree in Software Engineering from the School of Software Engineering, University of Electronic Science and Technology of China, in June 2023.
🔥 News
🚀 Expected to graduate from Renmin University of China in June 2028. Actively seeking internship opportunities!
- 2026.01 🎉 Paper accepted at ICLR 2026. Thanks to my co-authors!
- 2025.09 📢 Released GDGB, a new benchmark for Generative DyTAG Learning.
- 2025.05 🎉 Paper accepted at KDD 2025.
- 2025.01 🎉 Paper accepted at ICLR 2025.
- 2024.07 🎉 Paper accepted at CIKM 2024.
📝 Publications
-
Can Generative Recommendation Reach Cold Items? A Temporal Perspective on Semantic-ID Generation. [Paper]
Jie Peng, Yanping Zheng, Zhewei Wei*, Bin Tong, Guan Wang, Bo Zheng.
arXiv. (Preprint) -
GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning. [Paper]
Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei*, Yongchao Liu, Chuntao Hong*.
In Proceedings of the 14th International Conference on Learning Representations. (ICLR 2026) -
TIDFormer: Exploiting Temporal and Interactive Dynamics Makes A Great Dynamic Graph Transformer. [Paper]
Jie Peng, Zhewei Wei*, Yuhang Ye.
In Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. (KDD 2025) -
Beyond Over-smoothing: Uncovering the Trainability Challenges in Deep Graph Neural Networks. [Paper]
Jie Peng, Runlin Lei, Zhewei Wei*.
In Proceedings of the 33rd ACM International Conference on Information and Knowledge Management. (CIKM 2024) -
From Leakage to Fidelity: Reliable Benchmarking for Temporal Cascade Prediction [Paper]
Jie Peng, Rui Wang, Qiang Wang, Zhewei Wei*, Bin Tong, Guan Wang, Bo Zheng.
arXiv. (Preprint) -
TGB-Seq Benchmark: Challenging Temporal GNNs with Complex Sequential Dynamics. [Paper]
Lu Yi, Jie Peng, Yanping Zheng*, Fengran Mo, Zhewei Wei*, Yuhang Ye, Yue Zixuan, Zengfeng Huang.
In Proceedings of the 13th International Conference on Learning Representations. (ICLR 2025)
🎖 Honors and Awards
- 2025 Merit Student of Renmin University of China
- 2024 Merit Student of Renmin University of China
- 2023 Provincial Excellent Graduates
- 2021 IELTS Overall Rating: 7.5
- 2021 National Scholarship for Undergraduate Students
- 2020 National Scholarship for Undergraduate Students
💻 Internships
- 2025.03 - Present, Alimama, Beijing, China. Primarily engaged in research on Temporal Cascade Prediction and sales forecasting for private-domain e-commerce traffic scenarios.
- 2026.08 - Present, Huawei, Beijing, China. Focused on research into Generative Recommendation for Huawei Terminal Advertising.