Methodologies: Machine Learning, Optimization, Tensor, random matrix

Ming Lin

Research Investigator, Computational Medicine and Bioinformatics


Center for Network and Storage-Enabled Collaborative Computational Science

Ming Lin’s research focuses on  high dimensional high order statistics and the related applications in real world machine learning problems. His recent research topics includes symmetric matrix sensing, Positive Unlabeled learning, One-bit Active learning and nonconvex tensor machine.