Can Wu, Dong-hui Li, Defeng Sun*. Support matrix machine: exploring sample sparsity, low rank, and adaptive sieving in high-performance computing[J]. Mathematical Programming Computation, 2026, Online.
DOI: 10.1007/s12532-026-00306-51.
Can Wu,Ying Cui, Dong-hui Li, Defeng Sun. Convex and nonconvex risk-based linear regression at scale[J]. INFORMS Journal on Computing, 2023, 35(4):797-816.
DOI: 10.1287/ijoc.2023.1282.
Danqi Zhu, Can Wu, Dong-Hui Li*. An inexact regularized proximal Newton-type method for nonconvex composite optimization problems[J]. Pacific Journal of Optimization, 2024, 20(4):629-644.
DOI: 10.61208/pjo-2023-052.
Can Wu, Yunhai Xiao*, Peili Li. Semi-proximal augmented lagrangian method for sparse estimation of high-dimensional inverse covariance matrices[J]. Journal of Applied and Numerical Optimization, 2020, 2(2): 155-169.
DOI: 10.23952/jano.2.2020.2.03.
Can Wu, Qiuyu Wang*, Yunhai Xiao. On the equivalence of Peaceman-Rachford splitting method and some typical alternating direction method of multipliers. Journal of Nonlinear and Convex Analysis, 2018, 19(11):1933-1944.
