Biography
Research Interest
My research interests include
Reinforcement Learning and its applications.
Most recently, I am interested in:
- RLHF: Reinforcement Learning from Human Feedback
- Efficient Rollout Generation for LLM Reinforcement Learning
Publications
- Chenyang Wu, Pengfei Liu, Zongzhang Zhang. Parallel-in-Time Variational Inference for
Latent Stochastic Differential Equations. In Proceedings of the 40th Annual Conference on
Neural Information Processing Systems (NeurIPS-2026), 2026. (to appear)
- Chenyang Wu, Tianyu Wang, Shengjun Fang, Mingjun Cao, Pengfei Liu, Zongzhang Zhang,
Yeshu Li, Zhilin Zhang, Chuan Yu, Jian Xu, et al. Physics-Informed Generative World Models for
Real-Time Bidding: Deriving Statistical Laws from First Principles. In Proceedings of the
32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD-2026, Oral Presentation), 2026.
- Pengfei Liu, Rui Kong, Zongzhang Zhang. Efficient Preference Alignment via Pareto
Exploration (Student Abstract). In Proceedings of the 40th AAAI Conference on Artificial
Intelligence (AAAI-2026), 2026.
Awards & Honors
- Outstanding Graduate of Nanjing University, 2025.
- National Scholarship, 2024.
- People's Scholarship of Nanjing University, 2022&2023.
Correspondence
Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus
Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
Office: Room A323, Big Data and Artificial Intelligence Research Building, Xianlin Campus,
Nanjing University