Experience
Education
Bio
His research interests include machine learning, computer vision, and optimization. He also worked on statistical process control and neuroscience signal/data processing. Some specific research projects are: low-rank/high-rank matrix recovery theory and algorithms and their applications in image processing, recommendation system, and automatic machine learning; tensor decomposition/recovery for big data analysis; semi-supervised learning; non-smooth optimization.