Hi! I’m Yu, a third-year Ph.D. student in Statistics at the Wharton School, University of Pennsylvania, advised by Professors Yuxin Chen and Yuting Wei. Previously, I completed my M.S. in Computer Science (2023) and B.S. in Mathematics (2020) at Tsinghua University.
I am broadly interested in the mathematical foundations of deep learning, with a current focus on developing theoretical principles for understanding and improving the reasoning capabilities of large language models across data, architectural design, and learning dynamics.
Selected Recent Papers
- On the Emergence of Implicit Curriculum in RLVR Learning Dynamics. Y. Huang*, Z. Wen*, Y. Chi, Y. Wei, A. Singh, Y. Liang, Y. Chen. ICML 2026
- Preconditioning Benefits of Spectral Orthogonalization in Muon. J. Ma, Y. Huang, Y. Chi, Y. Chen. arXiv Preprint
- Transformers Provably Learn Chain-of-Thought Reasoning with Length Generalization. Y. Huang*, Z. Wen*, A. Singh, Y. Chi, Y. Chen. NeurIPS 2025