Professor Chen's primary research focus is in to developing theory and algorithms for efficient analysis of large-scale data sets and networks, and to understand the fundamental limits imposed by the characteristics of the problem. He is interested in developing and analyzing statistical and mach...
Professor Chen's primary research focus is in to developing theory and algorithms for efficient analysis of large-scale data sets and networks, and to understand the fundamental limits imposed by the characteristics of the problem. He is interested in developing and analyzing statistical and machine learning algorithms that are both computationally efficient and robust to noise. He has worked on problems in high-dimensional statistics, sparse and low-rank estimation, community detection and clustering in networks, as well as applications in communication and transportation networks.