Biography

Education

• Ph.D. student in computer science;

  • 08/2023 - present;

  • University of Illinois Urbana-Champaign, Urbana, USA;

  • Advisor: Prof. Tong Zhang and Prof. Nan Jiang.

• Master student in mathematics;

  • 09/2021 - 08/2023;

  • The Hong Kong University of Science and Technology, Hong Kong, China;

  • Advisor: Prof. Tong Zhang .

  • Thesis: A Sufficient Condition of Sample-Efficient Reinforcement Learning with General Function Approximation

• B.S. in mathematics (outstanding graduate);

  • University of Science and Technology of China, Hefei, China;

  • Electronic Engineering;

  • Probability and Statistics;

  • Thesis: Algorithms of multi-player multi-armed bandits under different settings

• Exchange Student;

  • Shanghai Jiao Tong University, Shanghai, China;

  • School of Electronic Information and Electrical Engineering, 2018;

Experience

• Visiting student (virtual), advised by Prof. Zhuoran Yang.

  • Yale University, USA;

  • 01/2022 - 05/2022;

  • Worked on the mathematical foundation of reinforcement learning.

• Intern, advised by Dr. Wenxue Cheng, and Dr. Li Zhao.

  • Microsoft Research Asia (MSRA), Beijing, China;

  • 01/2021 - 05/2021;

  • Worked on bandwidth estimation for real-time communications with reinforcement learning.

• Research intern, advised by Prof. Tong Zhang.

  • The Hong Kong University of Science and Technology, Hong Kong, China;

  • 06/2020 - 10/2020;

  • Developed a general algorithmic framework of decentralized composite problems: PMGT-VR.

• Research intern, advised by Prof. Cong Shen.

  • University of Virginia, Charlottesville, USA;

  • 08/2019 - 11/2019;

  • Developed efficient algorithms for multi-player multi-armed bandit problem.