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General Information

Full Name Xiang Li
Languages English, Chinese

Education

  • 2023
    PhD
    School of Mathematical Sciences, Peking University, Beijing, China
  • 2018
    Bachelor of Science
    Peking University, Beijing, China
    • Main degree in Statistics, School of Mathematical Sciences
    • Dual degree in Economics, National School of Development

Experience

  • Feb. 2022 - Feb. 2023
    Visiting Phd. student
    Department of Statistical Science, University of Toronto
    • Work with Prof. Qiang Sun.
    • Focus on robust reinforcement learning and deep learning theory
  • 28 Jun. - 10 Jul. 2020
    Participant of the Machine Learning Summer Schools (MLSS 2020)
    Max Planck Institute for Intelligent Systems
    • Remote participation due to Covid19
  • Jun. 2018 - Nov. 2018
    Intern
    Megvii Technology Limited, Beijing
  • Mar. 2018 - May. 2018
    Intern
    TuSimple - Autonomous Driving Technology, Beijing

Academic Interests

  • Optimization
    • Develop provably optimal methods for (non-)convex and stochastic optimization for structured problems.
  • Statistics
    • Propose practical methods for structural estimation and online statistical inference.
    • Deepen theoretical understanding of the interaction between optimization and sampling.
  • Sequential Decision Making
    • Develop computationally efficient online algorithms that balance the exploration-exploitation trade-off in problems such as bandit or reinforcement learning.
  • Trustworthy Machine Learning
    • Understand the trade-offs between accuracy, privacy, robustness, and fairness.
    • Design efficient algorithms with provable guarantees for large-scale problems.

Other Interests

  • Hobbies: Body-building, Tennis, Music, Animation.