My current interests include:
Continuous optimization;
Mixed-discrete and continuous nonconvex programming;
Large-scale optimization methods for machine learning.
My long-term interests include:
Convex analysis, large-scale decomposition, networks, game theory;
Algebra, computational algebraic geometry, cryptography;
Statistics.
Exact Matrix-Vector Multiplication Complexity for Kernel Projection and Its Application on Distributed Consensus Optimization
Yunheng Jiang, Yuyuan Ouyang, and Yibo Xu.
Parallel and distributed asynchronous adaptive stochastic gradient methods
Yangyang Xu, Yibo Xu, Yonggui Yan, and Jie Chen.
Mathematical Programming Computation, Vol. 15, No. 3, pp. 471-508, 2023
Momentum-based variance-reduced proximal stochastic gradient method for composite nonconvex stochastic optimization
Yangyang Xu and Yibo Xu.
Journal of Optimization Theory and Applications, Vol. 196, No. 1, pp. 266-297, 2023
Distributed stochastic inertial-accelerated methods with delayed derivatives for nonconvex problems
Yangyang Xu, Yibo Xu, Yonggui Yan, Colin Sutcher-Shepard, Leopold Grinberg, and Jie Chen.
SIAM Journal on Imaging Sciences, Vol. 15, No. 2, pp. 550-590, 2022.
Katyusha Acceleration for Convex Finite-Sum Compositional Optimization
Yibo Xu and Yangyang Xu.
INFORMS Journal on Optimization, Vol. 3, No. 4, pp. 418-443, 2021.
Convex Hull Derivation for a Symmetric Multilinear Polynomial and a Symmetric Polytope
Yibo Xu.
Convex Hulls of Symmetric Multilinear Polynomials over Box Constraints
Yibo Xu, Warren Adams and Akshay Gupte.
Error bounds for monomial convexification in polynomial optimization
Warren Adams, Akshay Gupte and Yibo Xu.
Mathematical Programming Series A, Vol. 175, No. 1, pp. 355-393, 2019.
Other Solutions for the 2nd Problem in the Second Round of National Senior High School's Mathematical Competition of China in 2005 (in Chinese)
High-School Mathematics, No. 8, pp. 19-21, 2007.
Proof of a set of inequalities (in Chinese)
Yibo Xu and Shuineng Yu.
Bulletin of Mathematics, No. 18, pp. 46-47, 2004.
Yuheng Jiang (Ph.D., Summer 2024)
"Tina" Yidan Guo (Ph.D., Summer 2024)