Dr. Li is interested in the intersection of machine learning and computer vision, espeically segmentation in images/videos and visual object recognition. He has published more than 30 papers in machine learning, computer vision and proteomics. He and his colleagues have won the prestigious PASCAL Visual Object Recognition challenge in Segmentation from 2009-2012, beating teams from University of Stanford, University of Chicago, Oxford University, University of California—Berkeley, among others. He is a reviewer for more than 15 renowned international journals, and serves as the program committee for all major machine learning and computer vision conferences such as CVPR, ICCV, ECCV, NIPS, ICML. He has won a Microsoft research award, 2 best reviewer awards and is currently leading an NSF project.