About
- I have been working with Prof. Shengchao Liu since June 2025, and formally serve as a Research Assistant at the Department of Computer Science and Engineering, The Chinese University of Hong Kong starting from Spring 2026.
- I was a visiting student at Hefei Institutes of Physical Science, Chinese Academy of Sciences, hosted by Prof. Jianhui Zhou, from July 2025 to Oct. 2025.
- I received my Bachelor of Science degree from the School of Physics, Sun Yat-sen University, in June 2025. During this period, I was a member of the PMI Lab and was advised by Prof. Haiping Huang from Oct. 2022 to June 2025.
Interests
- Theoretical Mechanism of LLM and Deep Learning
- Statistical Mechanics of Disordered Systems
- Mean Field Theory of Spin Glass Models (Replica Method, Cavity Method, etc.)
- Random Matrix Theory, Dynamical Mean Field Theory, Nonlinear Dynamics
- Applications of LLM in Science and Engineering
Publications
- Yuhao Li, Ruoran Bai, and Haiping Huang. "Spin Glass Model of In-Context Learning." Phys. Rev. E 112, L013301, 2025.
Notes
- Note on Ensemble Theory (Equilibrium Statistical Physics)
Writing
Timeline of Deep Learning
A timeline highlighting key milestones in the development of deep learning.
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Phase Transition Point in Classical Dynamics
A brief derivation of the stability/chaos transition in a classical random dynamical system using mean-field theory.
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Timeline for Statistical Mechanics of Neural Networks
A timeline highlighting key developments in the application of statistical mechanics to neural networks.
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