About me

Hi! I am a rising senior undergraduate student majoring in Computer Science & Mathematics in The Hong Kong University of Science and Technology (HKUST). My research interest lies in deep learning theory, providing theoretical foundations for modern deep learning algorithms to better understand why they work. I am interested in applying for PhD position in 2025 Fall. Feel free to connect if you have similar research interest with me!

I am very fortunate to work with Wei Hu at Michigan and Yiping Lu at Northwestern. And I am very grateful to Tong Zhang (previously at HKUST) for giving me opportunity to begin my research journey in my sophomore year.

Education

  • BSc in Computer Science & Mathematics, Hong Kong University of Science and Technology, 2025 (Expected)
  • Exchange (Computer Science), École Polytechnique Fédérale de Lausanne, 2024 Spring

Research experience

  • Apr 2024 ~ Now: Summer Research
    • Supervised under Professor Wei Hu @ Michigan
    • Working on understanding in-context learning mechanism
  • July 2023 ~ Now: Remote Collaboration
    • Supervised under Professor Yiping Lu @ Northwestern
    • Worked on benign overfitting for scientific learning, have a first-authored paper under review
  • Oct 2022 ~ Nov 2023: Undergraduate Research Opportunities Program (UROP) @ HKUST
    • Supervised under Professor Tong Zhang @ HKUST
    • Worked on theoretical understanding of ensemble on Out-of-distribution scenario
    • Had a Paper accepted to ICLR2024 as the Fourth author
    • (Here begins my research journey! Very thankful to Yong Lin, Yifan Hao and Lu Tan for guiding me)

Reviewing experience

  • Reviewer for NeurIPS 2024, ICML 2024 Workshop on Theoretical Foundations of Foundation Models (TF2M), ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning (BGPT)

Academics

  • Cumulative GPA (Top 1%): 4.099/4.3, Major GPA: 4.140/4.3, Rank: 1/13
  • Selected Graduate-level courses: COMP5212 Machine Learning (A), MATH5411 Advanced Probability Theory (A)
  • Selected Undergraduate courses: COMP3711 Design and Analysis of Algorithms (A+), MATH4335 Optimization (A), MATH4063 Functional Analysis (A), MATH3312 Numerical Analysis (A+), COMP2012H Honors OOP and Data Structure (A+), MATH3043 Honors Real Analysis (A+), MATH2431 Honors Probability (A+)
  • Other courses taking at EPFL: Graduate Level NLP, Graduate Level Optimization, Theory of Computation

Scholarship and Awards

  • Tin Ka Ping Scholarship (Exchange) 24’ (HKD$20,000)
  • HKUST Epsilon Fund Award 24’ (Awarded to top math students, less than 10 undergraduates per year)
  • HKUST Study Abroad Funding Support 24’ (HKD$10,000)
  • Hong Kong Government Scholarship 22’ (Awarded to students with top academic performance, HKD$40,000 per year)
  • Chern Class Entry & Talent Scholarship 22’, 23’ (Awarded to students in the prestigious S.S. Chern Class)

Activities

These are the activities that greatly broaden my horizon (I am always grateful for having the chance to grow and learn!):

  • Heidelberg Laureate Forum, Heidelberg, Germany, Sep 2024 (Expected)
  • LeT-All Mentorship Workshop, Learning Theory Alliance, Online, June 2024
  • International Conference on Learning Representations (ICLR), Vienna, May 2024
  • Conference on Parismony and Learning (CPAL), Hong Kong, Jan 2024
  • Discover Citadel & Citadel Securities, Hong Kong, Apr 2024