About me

Hi! I am a third-year student majoring in Computer Science & Mathematics in The Hong Kong University of Science and Technology. I am very fortunate to work with Yiping Lu at Northwestern. Previously, I was supervised by Tong Zhang at The Hong Kong University of Science and Technology. I will conduct summer research under the guidence of Wei Hu at University of Michigan.

My research interest lies in providing theoretical foundations for modern deep learning algorithms to gain more understandings of their practical achievements. I am also interested in diving into deep neural networks by empirical investigations like using mechanistic interpretability approaches. Recently, I am working on in-context learning. I believe that theory without practice is empty, but equally, practice without theory is blind. Feel free to connect if you have similar research interest with me!

I am maintaining a Bilibili account for introducing interesting concepts in Computer Science or Mathematics using Manim, and I also have a Zhihu account for sharing and discussing my opinions and ideas with peers.

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 Intern
- Supervised under Professor Wei Hu @ Michigan
- Working on in-context learning
July 2023 ~ Now: Cooperating Undergraduate Student
- Supervised under Professor Yiping Lu @ Northwestern
- Working on Kernel, to be submitted to Neurips 2024
Oct 2022 ~ Nov 2023: Research Intern
- Supervised under Professor Tong Zhang @ HKUST
- Worked on theoretical understanding of ensemble on Out-of-distribution scenario
- Paper accepted to ICLR2024

Professional Services

Reviewer for ICLR 2024 Workshop on Bridging the Gap Between Practice and Theory in Deep Learning

Courses

Cumulative GPA (Top 1%): 4.099/4.3, Major GPA: 4.140/4.3
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

Awards

HKUST Epsilon Award Honorable Mention 23’ (Awarded to top math students, less than 10 undergraduates per year)
Hong Kong Government Scholarship 22’ (Awarded to students with top academic performance, HKD$40,000 per year)
Chern Class Entry & Talent Scholarship 22’ (Awarded to students in the prestigious S.S. Chern Class)

Academic and Other acitivities

Some activities that greatly broaden my horizon and I always appreciate these precious opportunities!

Heidelberg Laureate Forum, Heidelberg, Germany, Sep 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

Honam WONG