CV

Curriculum vitae.

Education

  • 2021 - 2026

    Wuhan, China

    Ph.D. Student
    School of Computer Science, Wuhan University
    Computer Science and Technology
    • Advisor: Prof. Weiwei Liu.
    • Research focus: statistical learning theory, deep learning theory, representation learning, and trustworthy machine learning.
  • 2017 - 2021

    Wuhan, China

    Bachelor Student
    School of Computer Science, Wuhan University
    Software Engineering
    • GPA 3.897/4.0.

Research Interests

  • Statistical Learning Theory:
    • PAC learning
    • Boosting
    • Generalization bounds
  • Generalization Theory:
    • Uniform convergence
    • Stability
    • Feature learning
  • Trustworthy Machine Learning:
    • Adversarial learning
    • Out-of-distribution generalization
    • Out-of-distribution detection
  • Large Language Models:
    • Pretraining (Architecture)
    • Optimization
    • Scaling

Projects and Grants

  • 2025.01 - 2026.12
    Fundamental Research Project for Young Professional from NSFC (Principal Investigator)
  • 2025.01 - 2026.06
    Youth Talents Support Project - Doctoral Student Special Program

Honors and Awards

  • 2025
    Tianyuan Dic Scholarship
  • 2025
    Lei Jun Breakthrough Scholarship
  • 2024
    National Scholarship (For Ph.D. students)
  • 2023
    Huawei Scholarship
  • 2023 - 2025
    Outstanding Student Scholarship, Wuhan University
  • 2018 - 2020
    Outstanding Student Scholarship, Wuhan University
  • 2018
    National Scholarship (For Undergraduate students)

Academic Services

  • Conference Reviewing:
    • ICML 2023-2026
    • NeurIPS 2023-2025
    • ICLR 2024-2026
    • AISTATS 2025-2026
    • AAAI 2025-2026
    • IJCAI 2024
  • Journal Reviewing:
    • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • Transactions on Machine Learning Research (TMLR)
    • Neurocomputing

CV Files

Other Interests

  • Badminton
  • Table tennis