李龙飞 Long-Fei Li Ph.D., LAMDA Group School of Artificial Intelligence Nanjing University, Nanjing 210023, China Supervisor: Professor Zhi-Hua Zhou

Biography

I obtained my Ph.D. degree from the School of Artificial Intelligence at Nanjing University in 2025, where I was very fortunate to be advised by Prof. Zhi-Hua Zhou. Before that, I received my B.Sc. degree in Computer Science and Technology in June 2020 from Shanghai Jiao Tong University, where I was also selected for the ZhiYuan Honors Program. Additionally, I visited the National University of Singapore from July to December 2019.

Research Interests

My research interests include Machine Learning and Sequential Decision Making. Most recently, I am interested in

• Online Learning, Bandits, MDPs, Reinforcement Learning
• LLM alignment, Reinforcement Learning from Human Feedback (RLHF)

Preprints

• Provably Efficient RLHF Pipeline: A Unified View from Contextual Bandits. [PDF, arXiv]
  Long-Fei Li*, Yu-Yang Qian*, Peng Zhao, and Zhi-Hua Zhou. (* Equal contribution)
  
  

Publications

• Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation. [PDF, arXiv]
  Long-Fei Li, Yu-Jie Zhang, Peng Zhao, and Zhi-Hua Zhou.
  In: Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Vancouver, Canada, 2024. Page: 58539--58573.
  
  
• Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs. [PDF, arXiv]
  Long-Fei Li, Peng Zhao, and Zhi-Hua Zhou.
  In: Advances in Neural Information Processing Systems 37 (NeurIPS 2024), Vancouver, Canada, 2024. Page: 55858--55883.
  
  
• Improved Algorithm for Adversarial Linear Mixture MDPs with Bandit Feedback and Unknown Transition. [PDF, arXiv]
  Long-Fei Li, Peng Zhao, and Zhi-Hua Zhou.
  In: Proceedings of the 27th International Conference on Artificial Intelligence and Statistics (AISTATS 2024), Valencia, Spain, 2024. Page: 3061--3069.
  
  
• Dynamic Regret of Adversarial MDPs with Unknown Transition and Linear Function Approximation. [PDF]
  Long-Fei Li, Peng Zhao, and Zhi-Hua Zhou.
  In: Proceedings of the 38th AAAI Conference on Artificial Intelligence (AAAI 2024), Vancouver, Canada, 2024. Page: 13572-13580.
  
  
• Dynamic Regret of Adversarial Linear Mixture MDPs. [PDF]
  Long-Fei Li, Peng Zhao, and Zhi-Hua Zhou.
  In: Advances in Neural Information Processing Systems 36 (NeurIPS 2023), New Orleans, Louisiana, 2023. Page: 60685-60711.
  
  
• Tracking Treatment Effect Heterogeneity in Evolving Environments. [PDF]
  Tian Qin, Long-Fei Li, Tian-Zuo Wang, and Zhi-Hua Zhou.
  In: Machine Learning, 2023. Page: 1-21.
  
  
• Dynamic Regret of Online Markov Decision Processes. [PDF, arXiv, full version]
  Peng Zhao, Long-Fei Li, and Zhi-Hua Zhou.
  In: Proceedings of the 39th International Conference on Machine Learning (ICML 2022), Baltimore, Maryland, 2022. Page: 26865-26894.
  
  
• Knowledge Consistency between Neural Networks and Beyond. [PDF, arXiv, Code]
  Ruofan Liang, Tianlin Li, Long-Fei Li, Jing Wang and Quanshi Zhang.
  In: Proceedings of the 8th International Conference on Learning Representations (ICLR 2020), Online, 2020.
  
  

Awards & Honors

• Outstanding Graduates of Nanjing University, 2025.
  
  
• Outstanding Doctoral Dissertation Award of the School of Artificial Intelligence, 2025.
  
  
• AISTATS Best Reviewer Award, 2025.
  
  
• NeurIPS Scholar Award, 2024.
  
  
• Excellent Graduate Student of Nanjing University, 2023.
  
  
• LAMDA Excellent Student Award, 2023.
  
  
• First Prize, DIGIX Global Campus AI Algorithm Competition, 2021.
  
  
• Xu Xin International Student Exchange Scholarship, 2020.
  
  
• President's Special Scholarship for Doctoral Students, 2020.
  
  
• Outstanding Graduate of Shanghai Jiaotong University, 2020.
  
  

Academic Service

• Reviewer for ICML(2022, 2023, 2024), NeurIPS(2023, 2024), ICLR(2024), AAAI(2024), AISTATS(2023, 2024, 2025), UAI(2023, 2024).

Correspondence

Email: lilf@lamda.nju.edu.cn

Office: Room 912, Computer Science Building, Xianlin Campus of Nanjing University

Address: National Key Laboratory for Novel Software Technology, Nanjing University, Xianlin Campus Mailbox 603, 163 Xianlin Avenue, Qixia District, Nanjing 210023, China
(In Chinese: 南京市栖霞区仙林大道163号, 南京大学仙林校区603信箱, 软件新技术国家重点实验室, 210023)