Ming Yan's research lies on the intersection of parallel and distributed algorithms, signal and image processing, and inverse problems. He is particularly interested in developing optimization methods and their applications in sparse recovery and regularized inverse problems, variational methods for image processing, and parallel and distributed algorithms for solving big data problems. Currently, I am working on developing synchronous/asynchronous parallel optimization algorithms for large scale problems.

Selected Publications

M. Yan, Restoration of images corrupted by impulse noise and mixed Gaussian impulse noise using blind inpainting, SIAM Journal on Imaging Sciences, 6 (2013), 1227-1245. Open

Z. Peng, Y. Xu, M. Yan, and W. Yin, ARock: an algorithmic framework for asynchronous parallel coordinate updates, SIAM Journal on Scientific Computing, 38 (2016), A2851-A2879. Open

Z. Peng, T. Wu, Y. Xu, M. Yan, and W. Yin, Coordinate friendly structures, algorithms and applications, Annals of Mathematical Sciences and Applications, 1 (2016), 57-119. Open

M. Yan and W. Yin, Self equivalence of the alternating direction method of multipliers, in R. Glowinski, S. Osher, and W. Yin (Eds.), Splitting Methods in Communication and Imaging, Science and Engineering (2017), New York, Springer, 165-194. Open