About
I am a fourth-year Ph.D. student at Toyota Technological Institute at Chicago, advised by Professor Zhiyuan Li. My research interests lie broadly in optimization and language model training.
My work focuses on the theory of deep learning optimization, particularly understanding why adaptive methods such as Adam are effective for training large language models. I also have extensive hands-on experience training language models and building and debugging empirical ML pipelines.
Previously, I received a B.S. in statistics from Peking University and an M.S. in statistics from the University of Chicago, and did research in natural language processing with Hongyuan Mei and Hao Tan.
Experience
Publications
($\alpha$-$\beta$) indicates alphabetical order. * indicates equal contribution.
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ICLR 2026
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NeurIPS 2025
OPT Workshop
ORAL -
ICML 2025
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ICML 2025
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ICLR 2025
SPOTLIGHT -
ICML 2024
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EMNLP 2022
Findings
Honors and Awards
- Gold Medal, Chinese Mathematical Olympiad (CMO)
- Rank 1st, Chinese Girls’ Mathematical Olympiad (CGMO)
Miscellaneous
Outside of research, I enjoy cooking, learning Japanese on Duolingo, playing squash and bouldering. During my undergraduate years, I was a member of the Peking University Softball Team and captain of the softball team of the School of Mathematical Sciences.