| Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization Y Xu, Y Xu Journal of Optimization Theory and Applications 196 (1), 266-297, 2022 | 25 | 2022 |
| Katyusha acceleration for convex finite-sum compositional optimization Y Xu, Y Xu INFORMS Journal on Optimization 3 (4), 418-443, 2021 | 14 | 2021 |
| Error bounds for monomial convexification in polynomial optimization W Adams, A Gupte, Y Xu Mathematical Programming Series A 175 (1), 355-393, 2019 | 11 | 2019 |
| Parallel and distributed asynchronous adaptive stochastic gradient methods Y Xu, Y Xu, Y Yan, C Sutcher-Shepard, L Grinberg, J Chen Mathematical Programming Computation 15 (3), 471-508, 2023 | 5* | 2023 |
| Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems Y Xu, Y Xu, Y Yan, J Chen SIAM Journal on Imaging Sciences 15 (2), 550-590, 2022 | 5 | 2022 |
| Polyhedral analysis of symmetric multilinear polynomials over box constraints Y Xu, W Adams, A Gupte arXiv preprint arXiv:2012.06394, 2020 | 4 | 2020 |
| Convex Hulls, Relaxations, and Approximations of General Monomials and Multilinear Functions Y Xu PhD Dissertation, Clemson University, 2018 | 1 | 2018 |
| Other Solutions for the 2nd Problem in the Second Round of National Senior High School's Mathematical Competition of China in 2005 Y Xu High-School Mathematics 26 (8), 19-21, 2007 | | 2007 |
| Proof of a set of inequalities Y Xu, S Yu Bulletin of Mathematics (Wuhan), 46-47, 2004 | | 2004 |
Yangyang XuRensselaer Polytechnic InstituteVerified email at rpi.edu
