Further properties of the forward–backward envelope with applications to difference-of-convex programming T Liu, TK Pong
Computational Optimization and Applications 67, 489-520, 2017
50 2017 A refined convergence analysis of with applications to simultaneous sparse recovery and outlier detection T Liu, TK Pong, A Takeda
Computational Optimization and Applications 73 (1), 69-100, 2019
41 2019 A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems T Liu, TK Pong, A Takeda
Mathematical Programming 176, 339-367, 2019
39 2019 Peaceman–Rachford splitting for a class of nonconvex optimization problems G Li, T Liu, TK Pong
Computational Optimization and Applications 68, 407-436, 2017
31 2017 An exact penalty method for semidefinite-box-constrained low-rank matrix optimization problems T Liu, Z Lu, X Chen, YH Dai
IMA Journal of Numerical Analysis 40 (1), 563-586, 2020
11 2020 Convergence analysis under consistent error bounds T Liu, BF Lourenço
Foundations of Computational Mathematics, 1-51, 2022
9 2022 Subspace methods for multi-channel sum-of-exponentials common dynamics estimation I Markovsky, T Liu, A Takeda
2019 IEEE 58th Conference on Decision and Control (CDC), 2672-2675, 2019
7 2019 An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems T Liu, A Takeda
Computational Optimization and Applications 82 (1), 141-173, 2022
5 2022 Data-driven structured noise filtering via common dynamics estimation I Markovsky, T Liu, A Takeda
IEEE Transactions on Signal Processing 68, 3064-3073, 2020
3 2020 A hybrid penalty method for a class of optimization problems with multiple rank constraints T Liu, I Markovsky, TK Pong, A Takeda
SIAM Journal on Matrix Analysis and Applications 41 (3), 1260-1283, 2020
3 2020 Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints T Liu, TK Pong, A Takeda
Computational Optimization and Applications 86 (2), 521-553, 2023
2023