Published and preprinted several papers, such as 'MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models', 'Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization', etc. Awards: Outstanding Graduate of South China University of Technology in 2020, First Prize in the 14th National University Students' Smart Car Competition in 2019.
Research Experience
Involved in multiple research projects including MetaMath, Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization, etc.
Education
MPhil student at Peking University, supervised by Prof. Yuesheng Zhu; Collaborated with Dr. Weiyang Liu and Prof. Adrian Weller from the University of Cambridge, Dr. Lanqing Hong from the National University of Singapore, and Prof. Zhenguo Li from the Hong Kong University of Science and Technology.
Background
Research Interests: Artificial General Intelligence and Machine Learning; Specialties: Large Language Model, AI Alignment, Scalable Learning (Continual Learning, Semi-supervised Learning), Distribution Robustness (Long-tailed Learning, Out-of-Distribution Detection), Neural Collapse; Brief Introduction: Currently seeking a Ph.D. opportunity starting in FALL 2024.
Miscellany
Personal Interests: Interested in real-world applications of AI, such as Autonomous Driving, NeRF, and Vector Font Synthesis.