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.
MOFA-LAB on GitHub Code & repositories
Post-Doctoral Researchers Xinsong Ma Trustworthy ML & explainability Xinsong Ma Trustworthy ML & explainability
Xinsong studies trustworthy and explainable machine learning, including robustness and fairness, out-of-distribution detection, and anomaly detection.
Ph.D., Wuhan University, 2026 Ph.D. advisor: WeiWei Liu
Google Scholar Jun Chen Statistical learning & agentic AI Jun Chen Statistical learning & agentic AI
Jun works on statistical machine learning theory, unsupervised learning, and agentic AI.
Ph.D., Agricultural Information Engineering, Huazhong Agricultural University B.Sc., Statistics, Taiyuan University of Technology Ph.D. advisor: Hong Chen
PhD Students Hanzhang Wang LLM pre-training & quantization Junze He Matrix optimization & over-parametrization Xiaying Chen Efficient machine learning Xiaying Chen Efficient machine learning
Jointly based at City University of Hong Kong and Shenzhen Loop Area Institute (SLAI), supervised by Ziye Ma.
B.Sc., Automation, Beihang University Changrui Fang Optimization & data-efficient ML Changrui Fang Optimization & data-efficient ML
Changrui also explores a range of mathematical topics and received a national second prize in China's mathematical modelling contest.
B.Sc., Mathematics, Wuhan University Bowen Zhang Fine-tuning techniques Bowen Zhang Fine-tuning techniques
M.S., EE, Chinese University of Hong Kong B.Sc., Automation, Zhejiang University Jiahe Chen Zeroth-order optimization Jiahe Chen Zeroth-order optimization
Jiahe studies zeroth-order optimization and machine learning.
B.Sc., EECS, Peking University Tianqi Shen Optimization for machine learning Tianqi Shen Optimization for machine learning
Tianqi's interests include matrix sensing, tensor algebra, and topological data analysis.
M.Sc., Intelligent Systems, Beihang University B.Sc., Control and Mathematics, Beihang University MPhil Students Runze Shi Mathematics of machine learning Alumni Jinji Yang Ph.D. student, Soochow University Jinji Yang Ph.D. student, Soochow University
Former research assistant working on matrix optimization and matrix sensing. Now pursuing a Ph.D. at Soochow University.
Kunhan Gao Master's student, Yale University Kunhan Gao Master's student, Yale University
Former undergraduate research assistant working on optimization. Now pursuing a master's degree at Yale University.
Join Us For those who are interested in joining our lab, we have a separate page for that .
