Ruizhe Li
Logo Southern University of Science and Technology

I will be commencing my postgraduate studies at the School of Data Science at The Chinese University of Hong Kong, Shenzhen, an institution dedicated to cutting-edge research and innovation in data science. Previously, I was an undergraduate student at Southern University of Science and Technology (SUSTech) in Shenzhen, China. I was also a member of the Fields Honor Class, an elite program for mathematics undergraduates which is led by the Fields Award winner Efim Zelmanov. During my undergraduate career, I was very fortunate to meet Prof. Minghua Chen, Prof. Jiang Yang, Prof. Zhen Zhang, and Prof. Jin Zhang, who help me a lot in the study of applied mathematics.

My research interests lie at the intersection of optimization, graph learning, and machine learning, with a particular focus on theoretical foundations. To be precise, I am interested in the following problems:

  1. How can the inductive bias of optimization problems be leveraged to design learning-based architectures that achieve both universality and efficiency (in terms of training and generalization)?
  2. How can we design computationally efficient methods that guarantee solution feasibility, even in non-convex settings?
  3. How can we design interpretable methods for learning to optimize that extend beyond deep unrolling?

I am very fortunate to work with Enming Liang and be supervised by Prof. Minghua Chen.


Education
  • Southern University of Science and Technology
    Southern University of Science and Technology
    Bachelor of Science with Honours, Magna Cum Laude
    Sep. 2022 - June. 2026
  • The Chinese University of Hong Kong (ShenZhen)
    The Chinese University of Hong Kong (ShenZhen)
    PhD in Data Science
    Sep. 2026 - present
Honors & Awards
  • Outstanding Student, SUSTech
    2023-2025
  • Outstanding Graduation Thesis Award (Top2), SUSTech
    2026
  • Honorable Mention, Top 10 Graduates, College of Science, SUSTech
    2026
  • Presidential Fellowship, CUHKSZ
    2026
News
2026
One paper accepted by ICLR 2026
Jan 26