I conduct both theoretical and applied research in the areas of large
scale inverse optimization, compressive sensing, sparse learning,
image/video processing, multimedia, computer vision and medical image
analysis. I am most interested in creating efficient algorithms with
nice theoretical guarantees and practical values (especially in practical
applications involved large scale data), as well as developing novel
theoretical insights into existing algorithms and problems.