Started PhD in CMU in September 2024; One paper accepted by ICML 2024 in April 2024; Two papers accepted by ICLR 2024 in January 2024, one of which was selected as a spotlight paper; Received Tsinghua Comprehensive Excellence Scholarship in October 2023; Won the 'Yao Award' in IIIS, Tsinghua University (top 9, Bronze Medal) in September 2023; One paper accepted by NeurIPS 2023 in September 2023; One paper accepted by ICLR 2023 in January 2023
Research Experience
Worked with Professor Simon S. Du at the University of Washington starting February 2023
Education
PhD: Machine Learning Department, CMU, advised by Prof. Aarti Singh; Bachelor's: IIIS (Yao class), Tsinghua University
Background
Research interests: learning theory, RLHF/LLM, especially theoretically elegant and implement-friendly algorithms for RLHF/LLM/decision-making; reinforcement learning theory and deep learning theory. The goal is to understand the phenomenon of machine learning and provide new efficient algorithms from the theoretical aspect, serving as a guide for the application of machine learning.
Miscellany
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