MOFA Lab
Welcome to the MOFA(Machine Optimization and Fundamental Algorithms) Lab! Our goal is to establish explainable and simple rules for tackling modern machine learning, mostly via the use of optimization theory and alike.
Post-Doctoral Researchers
Xinsong Ma
Jun Chen
Jun Chen works as a Postdoctoral Fellow in the Department of Computer Science at City University of Hong Kong. His research interests lie in the theory and application of machine learning, particularly in statistical machine learning theory, unsupervised learning, and agentic AI.
Education:
- B.Sc. in Statistics, Taiyuan University of Technology
- Ph.D. in Agricultural Information Engineering, Huazhong Agricultural University
PhD Students
Hanzhang Wang
Hanzhang is a Ph.D. student in the Department of Computer Science. He is most interested in LLM pre-training and its intersections with quantization.
Education:
- B.Sc. in Data Science, Harbin Institute of Technology (Shenzhen)
Junze He
Junze is a Ph.D. student in the Department of Computer Science. His research focuses on matrix optimization theory, and effects of over-parametrization.
Education:
- B.Sc. in Mathematics, Central South University
Xiaying Chen
Xiaying is a Ph.D. student both in the Department of Computer Science at City University of Hong Kong and at Shenzhen Loop Area Institute (SLAI), supervised by Professor Ziye Ma. She focuses on efficient machine learning techniques.
Education:
- B.Sc. in Automation, Beihang University
Changrui Fang
Changrui is a Ph.D. student in the Department of Computer Science. His research interests include optimization, data efficient ML, and various mathematical topics. He also won a national second prize in mathematical modelling contest of China.
Education:
- B.Sc. in Mathematics, Wuhan Univeristy
Bowen Zhang
Bowen is a Ph.D. student in the Department of Computer Science. He mostly focuses on fine-tuning techniques.
Education:
- B.Sc. in Automation, Zhejiang University
- M.S. in EE, Chinese Univeristy of Hong Kong
Jiahe Chen
Jiahe is a Ph.D. student in the Department of Computer Science. He mostly focuses on zeroth-order optimization and machine learning.
Education:
- B.Sc. in EECS, Peking University
Tianqi Shen
Tianqi Shen is a Ph.D. student in the Department of Computer Science. His research focuses on optimization algorithms for machine learning and their applications. His interests include matrix sensing, tensor algebra, and topological data analysis.
Education:
- M.Sc. in Intelligent Systems, Beihang University
- B.Sc. in Control and Mathematics, Beihang University
MPhil Students
Runze Shi
Runze is a MPhil student in the Department of Computer Science. His research interests mostly focuse on mathematical parts of machine learning.
Education:
- B.Sc. in Mathematics, University of Birmingham
Alumni
Jinji Yang
Jinji worked as a RA in our lab and focused on matrix optimization and matrix sensing. He is currently pursuing his PhD degree in Soochow University.
Kunhan Gao
Kunhan was an undergraduate RA at the lab and worked on optimization related projects. She is currently pursuing her masters degree at Yale University.
Join Us
For those who are interested in joining our lab, we have a separate page for that.