The Chinese University of Hong Kong, Shenzhen.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:
- 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)?
- How can we use neural operators to replace part of the algorithms to make neural algorithm reasoning more reliable and efficient?
- 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.
Action required
Problem: The current root path of this site is "baseurl ("_config.yml.
Solution: Please set the
baseurl in _config.yml to "Education
-
Southern University of Science and TechnologyBachelor of Science with Honours, Magna Cum LaudeSep. 2022 - June. 2026 -
The Chinese University of Hong Kong (ShenZhen)PhD in Data ScienceSep. 2026 - present
Honors & Awards
-
Outstanding Student, SUSTech2023-2025
-
Outstanding Graduation Thesis Award (Top2), SUSTech2026
-
Honorable Mention, Top 10 Graduates, College of Science, SUSTech2026
-
Presidential Fellowship, CUHKSZ2026