About me
I am an undergraduate majoring in Statistics at Fudan University in Shanghai, China, with a keen interest in machine learning theory. My research focus is on providing mathematical explanations for intriguing phenomena in deep learning. While modern machine learning systems are highly complex and often rely on intuition and experimental approaches, I believe that rigorous theoretical analysis can offer valuable insights and have the potential to guide the design and optimization of neural networks, driving the advancement of high-performance artificial intelligence.
If you share a similar passion for understanding the theoretical foundations of machine learning, feel free to reach out and connect with me!
News
- Dec, 2024 I’m going to visit Yang Yuan @ THU IIIS !
- Apr, 2024 Start my research supervised by Jiaye Teng !
Education
- BSc in Statistics, Fudan University, 2027 (Expected)
Research experience
- January 2025 - Feburary 2025: Visiting Student, Supervised by Prof. Yang Yuan @ THU IIIS
- April 2024 - Present: Research Assistant, Supervised by Prof. Jiaye Teng @ SUFE
- Try to find the mathemetical explanation of in-context learning of tranformer under next token prediction setting;
- Investigate the benign overfitting in neural network under mild overparameterized regime;
- Extend the application of conformal prediction in causal inference.
Notes
I’m sharing some personal reading notes at Zhihu. If you find any errors in it, please contact me immediately!