Tianxiang Liu
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Further properties of the forward–backward envelope with applications to difference-of-convex programming
T Liu, TK Pong
Computational Optimization and Applications 67 (3), 489-520, 2017
312017
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems
T Liu, TK Pong, A Takeda
Mathematical Programming 176 (1), 339-367, 2019
242019
Peaceman–Rachford splitting for a class of nonconvex optimization problems
G Li, T Liu, TK Pong
Computational Optimization and Applications 68 (2), 407-436, 2017
212017
A refined convergence analysis of pDCA e with applications to simultaneous sparse recovery and outlier detection
T Liu, TK Pong, A Takeda
Computational Optimization and Applications 73 (1), 69-100, 2019
172019
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
52019
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
22020
Data-driven structured noise filtering via common dynamics estimation
I Markovsky, T Liu, A Takeda
IEEE Transactions on Signal Processing 68, 3064-3073, 2020
12020
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
12020
An inexact successive quadratic approximation method for a class of difference-of-convex optimization problems
T Liu, A Takeda
2021
Convergence analysis under consistent error bounds
T Liu, BF Lourenço
arXiv preprint arXiv:2008.12968, 2020
2020
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