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Resume (English only)
Academic Achievements
Published multiple high-level papers including 'Learning Threshold Neurons via the Edge of Stability' (NeurIPS 2023), 'Why are Convolutional Nets more Sample-Efficient than Fully-Connected Nets?' (ICLR 2021), and received the Wallace Memorial Fellowship in Engineering, one of the highest honors awarded to Ph.D. students.
Research Experience
Currently a Senior Researcher in the Machine Learning Foundations group at Microsoft Research Redmond. Involved in several research projects such as 'Textbooks are all you need', 'Sparks of Artificial General Intelligence: Early experiments with GPT-4', etc.
Education
Ph.D. from Princeton University, advised by Sanjeev Arora; Bachelor's degrees from Shanghai Jiao Tong University and the University of Michigan, Ann Arbor, where he was advised by Honglak Lee.
Background
Senior Researcher in the Machine Learning Foundations group, with research interests in machine learning theory and applications.
Miscellany
A proud dad of a 2-year-old Shiba Inu named Lambo, also known as Bobo or 啵啵.