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

Biography

Currently I am a fourth year Ph.D. student of School of Artificial Intelligence in Nanjing University and a member of LAMDA Group, led by professor Zhi-Hua Zhou. I got my B.Sc. degree in Computer Science and Technology in June 2020 from Shanghai Jiao Tong University, where I was also selected for ZhiYuan Honors Program. Additionally, I had the opportunity to visit the National University of Singapore from July to December 2019.

Research Interests

My research interests include Machine Learning and Data Mining. Most recently, I am interested in

• Online Learning and Reinforcement Learning
• Machine Learning in Non-stationary Environments

Publications

• 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: to appear.
  
  
• 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: to appear.
  
  
• 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

• NeurIPS Scholar Award, 2023.
• 南京大学优秀研究生, 2023.
• LAMDA 英才奖, 2023.
• 学业奖学金, 2021, 2022.
• Xu Xin International Student Exchange Scholarship, 2020.
• 博士生校长特别奖学金, 2020.
• 上海交通大学优秀毕业生, 2020.

Academic Service

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