Yangyang Xu
Assistant Professor
Mathematical Sciences
Rensselaer Polytechnic Institute
United States of America
Biography
Dr. Yangyang Xu earned a bachelor degree in Computational Mathematics from Nanjing University, a master degree from the Institute of Applied Mathematics at Chinese Academy of Sciences, and his Ph.D from the Department of Computational and Applied Mathematics at Rice University in 2014. Before joining RPI, Dr. Xu was an assistant professor at University of Alabama. He also spent one year as a postdoctoral fellow at University of Waterloo and another year as an NSF postdoc at University of Minnesota
Research Interest
Optimization and applications in machine learning, statistics, and signal processing, Stochastic parallel computing, Compressed sensing
Publications
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Y. Xu and W. Yin. A globally convergent algorithm for nonconvex optimization based on block coordinate update. Journal of Scientific Computing, 72(2), 700-734, 2017.
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Y. Xu. Accelerated first-order primal-dual proximal methods for linearly constrained composite convex programming. SIAM Journal on Optimization, 27(3), 1459-1484, 2017
