Ting Kei Pong

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 37

Top Topics

Optimization Problems

Convergence Rate

Augmented Lagrangian

Top Venues

Comput. Optim. Appl.

Publications

Xiaozhou Wang, Ting Kei Pong
Convergence Rate Analysis of a Dykstra-Type Projection Algorithm. SIAM J. Optim. 34 (1) (2024)
Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
Tight error bounds for log-determinant cones without constraint qualifications. CoRR (2024)
Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
Generalized Power Cones: Optimal Error Bounds and Automorphisms. SIAM J. Optim. 34 (2) (2024)
Tianxiang Liu, Ting Kei Pong, Akiko Takeda
Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. Comput. Optim. Appl. 86 (2) (2023)
Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
Error bounds, facial residual functions and applications to the exponential cone. Math. Program. 200 (1) (2023)
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) (2023)
Shuqin Sun, Ting Kei Pong
Doubly iteratively reweighted algorithm for constrained compressed sensing models. Comput. Optim. Appl. 85 (2) (2023)
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 (2023)
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) (2023)
Liaoyuan Zeng, Ting Kei Pong
ρ-regularization subproblems: strong duality and an eigensolver-based algorithm. Comput. Optim. Appl. 81 (2) (2022)
Peiran Yu, Guoyin Li, Ting Kei Pong
Kurdyka-Łojasiewicz Exponent via Inf-projection. Found. Comput. Math. 22 (4) (2022)
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) (2021)
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) (2021)
Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
Tight error bounds and facial residual functions for the p-cones and beyond. CoRR (2021)
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) (2021)
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) (2020)
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) (2020)
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) (2020)
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) (2020)
Peiran Yu, Ting Kei Pong
Iteratively reweighted \(\ell _1\) algorithms with extrapolation. Comput. Optim. Appl. 73 (2) (2019)
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) (2019)
Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
Polar Convolution. SIAM J. Optim. 29 (2) (2019)
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) (2019)
Lei Yang, Ting Kei Pong, Xiaojun Chen
A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems. SIAM J. Optim. 28 (4) (2018)
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) (2018)
Bo Wen, Xiaojun Chen, Ting Kei Pong
A proximal difference-of-convex algorithm with extrapolation. Comput. Optim. Appl. 69 (2) (2018)
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) (2017)
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) (2017)
Tianxiang Liu, Ting Kei Pong
Further properties of the forward-backward envelope with applications to difference-of-convex programming. Comput. Optim. Appl. 67 (3) (2017)
Xiaojun Chen, Ting Kei Pong, Roger J.-B. Wets
Two-stage stochastic variational inequalities: an ERM-solution procedure. Math. Program. 165 (1) (2017)
Guoyin Li, Tianxiang Liu, Ting Kei Pong
Peaceman-Rachford splitting for a class of nonconvex optimization problems. Comput. Optim. Appl. 68 (2) (2017)
Xiaojun Chen, Zhaosong Lu, Ting Kei Pong
Penalty Methods for a Class of Non-Lipschitz Optimization Problems. SIAM J. Optim. 26 (3) (2016)
Guoyin Li, Ting Kei Pong
Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems. Math. Program. 159 (1-2) (2016)
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) (2016)
Michael P. Friedlander, Nathan Krislock, Ting Kei Pong
Social Resistance. Comput. Sci. Eng. 18 (2) (2016)
Guoyin Li, Ting Kei Pong
Peaceman-Rachford splitting for a class of nonconvex optimization problems. CoRR (2015)
Guoyin Li, Ting Kei Pong
Global Convergence of Splitting Methods for Nonconvex Composite Optimization. SIAM J. Optim. 25 (4) (2015)
Ting Kei Pong, Henry Wolkowicz
The generalized trust region subproblem. Comput. Optim. Appl. 58 (2) (2014)
Guoyin Li, Alfred Ka Chun Ma, Ting Kei Pong
Robust least square semidefinite programming with applications. Comput. Optim. Appl. 58 (2) (2014)
Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
Gauge Optimization and Duality. SIAM J. Optim. 24 (4) (2014)
Guoyin Li, Ting Kei Pong
Splitting methods for nonconvex composite optimization. CoRR (2014)
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) (2013)
Zhaosong Lu, Ting Kei Pong
Computing Optimal Experimental Designs via Interior Point Method. SIAM J. Matrix Anal. Appl. 34 (4) (2013)
Lisa Elkin, Ting Kei Pong, Stephen A. Vavasis
Convex relaxation for finding planted influential nodes in a social network. CoRR (2013)
Ting Kei Pong
Edge-based semidefinite programming relaxation of sensor network localization with lower bound constraints. Comput. Optim. Appl. 53 (1) (2012)
Zhaosong Lu, Ting Kei Pong, Yong Zhang
An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. 56 (12) (2012)
João Gouveia, Ting Kei Pong
Comparing SOS and SDP relaxations of sensor network localization. Comput. Optim. Appl. 52 (3) (2012)
Ting Kei Pong, Paul Tseng
(Robust) Edge-based semidefinite programming relaxation of sensor network localization. Math. Program. 130 (2) (2011)
Zhaosong Lu, Ting Kei Pong
Minimizing Condition Number via Convex Programming. SIAM J. Matrix Anal. Appl. 32 (4) (2011)
Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning. SIAM J. Optim. 20 (6) (2010)
Chong Li, Kung Fu Ng, Ting Kei Pong
Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization. SIAM J. Optim. 19 (1) (2008)
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) (2007)