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2020 – today
- 2024
[j47]Liaoyuan Zeng, Yongle Zhang, Guoyin Li, Ting Kei Pong, Xiaozhou Wang:
Frank-Wolfe-type methods for a class of nonconvex inequality-constrained problems. Math. Program. 208(1): 717-761 (2024)- [j46]Xiaozhou Wang
, Ting Kei Pong:
Convergence Rate Analysis of a Dykstra-Type Projection Algorithm. SIAM J. Optim. 34(1): 563-589 (2024) - [j45]Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong:
Generalized Power Cones: Optimal Error Bounds and Automorphisms. SIAM J. Optim. 34(2): 1316-1340 (2024) - [i6]Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong:
Tight error bounds for log-determinant cones without constraint qualifications. CoRR abs/2403.07295 (2024) - 2023
- [j44]Yongle Zhang, Guoyin Li, Ting Kei Pong, Shiqi Xu:
Retraction-based first-order feasible methods for difference-of-convex programs with smooth inequality and simple geometric constraints. Adv. Comput. Math. 49(1): 8 (2023) - [j43]Shuqin Sun, Ting Kei Pong:
Doubly iteratively reweighted algorithm for constrained compressed sensing models. Comput. Optim. Appl. 85(2): 583-619 (2023) - [j42]Tianxiang Liu, Ting Kei Pong, Akiko Takeda:
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. Comput. Optim. Appl. 86(2): 521-553 (2023) - [j41]Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong:
Error bounds, facial residual functions and applications to the exponential cone. Math. Program. 200(1): 229-278 (2023) - [j40]Chuan He, Zhaosong Lu, Ting Kei Pong:
A Newton-CG Based Augmented Lagrangian Method for Finding a Second-Order Stationary Point of Nonconvex Equality Constrained Optimization with Complexity Guarantees. SIAM J. Optim. 33(3): 1734-1766 (2023) - [i5]Chuan He, Zhaosong Lu, Ting Kei Pong:
A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees. CoRR abs/2301.03139 (2023) - 2022
- [j39]Liaoyuan Zeng, Ting Kei Pong:
ρ-regularization subproblems: strong duality and an eigensolver-based algorithm. Comput. Optim. Appl. 81(2): 337-368 (2022) - [j38]Peiran Yu, Guoyin Li, Ting Kei Pong:
Kurdyka-Łojasiewicz Exponent via Inf-projection. Found. Comput. Math. 22(4): 1171-1217 (2022) - 2021
- [j37]Xinxin Li, Ting Kei Pong, Hao Sun, Henry Wolkowicz:
A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem. Comput. Optim. Appl. 78(3): 853-891 (2021) - [j36]Liaoyuan Zeng, Peiran Yu, Ting Kei Pong:
Analysis and Algorithms for Some Compressed Sensing Models Based on L1/L2 Minimization. SIAM J. Optim. 31(2): 1576-1603 (2021) - [j35]Peiran Yu, Ting Kei Pong, Zhaosong Lu:
Convergence Rate Analysis of a Sequential Convex Programming Method with Line Search for a Class of Constrained Difference-of-Convex Optimization Problems. SIAM J. Optim. 31(3): 2024-2054 (2021) - [i4]Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong:
Tight error bounds and facial residual functions for the p-cones and beyond. CoRR abs/2109.11729 (2021) - 2020
- [j34]João Gouveia, Ting Kei Pong, Mina Saee:
Inner approximating the completely positive cone via the cone of scaled diagonally dominant matrices. J. Glob. Optim. 76(2): 383-405 (2020) - [j33]Chen Chen, Ting Kei Pong, Lulin Tan, Liaoyuan Zeng:
A difference-of-convex approach for split feasibility with applications to matrix factorizations and outlier detection. J. Glob. Optim. 78(1): 107-136 (2020) - [j32]Minglu Ye, Ting Kei Pong:
A Subgradient-Based Approach for Finding the Maximum Feasible Subsystem with Respect to a Set. SIAM J. Optim. 30(2): 1274-1299 (2020) - [j31]Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda:
A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM J. Matrix Anal. Appl. 41(3): 1260-1283 (2020)
2010 – 2019
- 2019
- [j30]Tianxiang Liu, Ting Kei Pong, Akiko Takeda:
A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection. Comput. Optim. Appl. 73(1): 69-100 (2019) - [j29]Peiran Yu, Ting Kei Pong:
Iteratively reweighted \(\ell _1\) algorithms with extrapolation. Comput. Optim. Appl. 73(2): 353-386 (2019) - [j28]Tianxiang Liu, Ting Kei Pong, Akiko Takeda:
A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems. Math. Program. 176(1-2): 339-367 (2019) - [j27]Michael P. Friedlander, Ives Macêdo, Ting Kei Pong:
Polar Convolution. SIAM J. Optim. 29(2): 1366-1391 (2019) - 2018
- [j26]Bo Wen, Xiaojun Chen, Ting Kei Pong:
A proximal difference-of-convex algorithm with extrapolation. Comput. Optim. Appl. 69(2): 297-324 (2018) - [j25]Guoyin Li, Ting Kei Pong:
Calculus of the Exponent of Kurdyka-Łojasiewicz Inequality and Its Applications to Linear Convergence of First-Order Methods. Found. Comput. Math. 18(5): 1199-1232 (2018) - [j24]Lei Yang, Ting Kei Pong, Xiaojun Chen:
A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems. SIAM J. Optim. 28(4): 3402-3430 (2018) - 2017
- [j23]Tianxiang Liu, Ting Kei Pong:
Further properties of the forward-backward envelope with applications to difference-of-convex programming. Comput. Optim. Appl. 67(3): 489-520 (2017) - [j22]Guoyin Li, Tianxiang Liu, Ting Kei Pong:
Peaceman-Rachford splitting for a class of nonconvex optimization problems. Comput. Optim. Appl. 68(2): 407-436 (2017) - [j21]Xiaojun Chen, Ting Kei Pong, Roger J.-B. Wets:
Two-stage stochastic variational inequalities: an ERM-solution procedure. Math. Program. 165(1): 71-111 (2017) - [j20]Lei Yang, Ting Kei Pong, Xiaojun Chen:
Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction. SIAM J. Imaging Sci. 10(1): 74-110 (2017) - [j19]Bo Wen, Xiaojun Chen, Ting Kei Pong:
Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems. SIAM J. Optim. 27(1): 124-145 (2017) - 2016
- [j18]Ting Kei Pong, Hao Sun, Ningchuan Wang, Henry Wolkowicz:
Eigenvalue, quadratic programming, and semidefinite programming relaxations for a cut minimization problem. Comput. Optim. Appl. 63(2): 333-364 (2016) - [j17]Michael P. Friedlander, Nathan Krislock, Ting Kei Pong:
Social Resistance. Comput. Sci. Eng. 18(2): 98-103 (2016) - [j16]Guoyin Li, Ting Kei Pong:
Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems. Math. Program. 159(1-2): 371-401 (2016) - [j15]Xiaojun Chen, Zhaosong Lu, Ting Kei Pong:
Penalty Methods for a Class of Non-Lipschitz Optimization Problems. SIAM J. Optim. 26(3): 1465-1492 (2016) - 2015
- [j14]Guoyin Li, Ting Kei Pong:
Global Convergence of Splitting Methods for Nonconvex Composite Optimization. SIAM J. Optim. 25(4): 2434-2460 (2015) - [i3]Guoyin Li, Ting Kei Pong:
Peaceman-Rachford splitting for a class of nonconvex optimization problems. CoRR abs/1507.00887 (2015) - 2014
- [j13]Ting Kei Pong, Henry Wolkowicz:
The generalized trust region subproblem. Comput. Optim. Appl. 58(2): 273-322 (2014) - [j12]Guoyin Li, Alfred Ka Chun Ma, Ting Kei Pong:
Robust least square semidefinite programming with applications. Comput. Optim. Appl. 58(2): 347-379 (2014) - [j11]Michael P. Friedlander, Ives Macêdo, Ting Kei Pong:
Gauge Optimization and Duality. SIAM J. Optim. 24(4): 1999-2022 (2014) - [i2]Guoyin Li, Ting Kei Pong:
Splitting methods for nonconvex composite optimization. CoRR abs/1407.0753 (2014) - 2013
- [j10]Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng:
Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. 34(3): 946-977 (2013) - [j9]Zhaosong Lu, Ting Kei Pong:
Computing Optimal Experimental Designs via Interior Point Method. SIAM J. Matrix Anal. Appl. 34(4): 1556-1580 (2013) - [i1]Lisa Elkin, Ting Kei Pong, Stephen A. Vavasis:
Convex relaxation for finding planted influential nodes in a social network. CoRR abs/1307.4047 (2013) - 2012
- [j8]João Gouveia, Ting Kei Pong:
Comparing SOS and SDP relaxations of sensor network localization. Comput. Optim. Appl. 52(3): 609-627 (2012) - [j7]Ting Kei Pong:
Edge-based semidefinite programming relaxation of sensor network localization with lower bound constraints. Comput. Optim. Appl. 53(1): 23-44 (2012) - [j6]Zhaosong Lu, Ting Kei Pong, Yong Zhang:
An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. 56(12): 4037-4046 (2012) - 2011
- [j5]Ting Kei Pong, Paul Tseng:
(Robust) Edge-based semidefinite programming relaxation of sensor network localization. Math. Program. 130(2): 321-358 (2011) - [j4]Zhaosong Lu, Ting Kei Pong:
Minimizing Condition Number via Convex Programming. SIAM J. Matrix Anal. Appl. 32(4): 1193-1211 (2011) - 2010
- [j3]Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye:
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning. SIAM J. Optim. 20(6): 3465-3489 (2010)
2000 – 2009
- 2008
- [j2]Chong Li, Kung Fu Ng, Ting Kei Pong:
Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization. SIAM J. Optim. 19(1): 163-187 (2008) - 2007
- [j1]Chong Li, Kung Fu Ng, Ting Kei Pong:
The SECQ, Linear Regularity, and the Strong CHIP for an Infinite System of Closed Convex Sets in Normed Linear Spaces. SIAM J. Optim. 18(2): 643-665 (2007)
Coauthor Index
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