Ting Kei Pong

According to our database, Ting Kei Pong authored at least 50 papers between 2007 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Convergence Rate Analysis of a Dykstra-Type Projection Algorithm.

Xiaozhou Wang, Ting Kei Pong

SIAM J. Optim., March, 2024

Tight error bounds for log-determinant cones without constraint qualifications.

Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong

CoRR, 2024

2023

Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints.

Tianxiang Liu, Ting Kei Pong, Akiko Takeda

Comput. Optim. Appl., November, 2023

A Newton-CG Based Augmented Lagrangian Method for Finding a Second-Order Stationary Point of Nonconvex Equality Constrained Optimization with Complexity Guarantees.

Chuan He, Zhaosong Lu, Ting Kei Pong

SIAM J. Optim., September, 2023

Doubly iteratively reweighted algorithm for constrained compressed sensing models.

Shuqin Sun, Ting Kei Pong

Comput. Optim. Appl., June, 2023

Retraction-based first-order feasible methods for difference-of-convex programs with smooth inequality and simple geometric constraints.

Yongle Zhang, Guoyin Li, Ting Kei Pong, Shiqi Xu

Adv. Comput. Math., February, 2023

Error bounds, facial residual functions and applications to the exponential cone.

Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong

Math. Program., 2023

2022

Kurdyka-Łojasiewicz Exponent via Inf-projection.

Peiran Yu, Guoyin Li, Ting Kei Pong

Found. Comput. Math., 2022

ρ-regularization subproblems: strong duality and an eigensolver-based algorithm.

Liaoyuan Zeng, Ting Kei Pong

Comput. Optim. Appl., 2022

2021

Analysis and Algorithms for Some Compressed Sensing Models Based on L1/L2 Minimization.

Liaoyuan Zeng, Peiran Yu, Ting Kei Pong

SIAM J. Optim., 2021

Convergence Rate Analysis of a Sequential Convex Programming Method with Line Search for a Class of Constrained Difference-of-Convex Optimization Problems.

Peiran Yu, Ting Kei Pong, Zhaosong Lu

SIAM J. Optim., 2021

Tight error bounds and facial residual functions for the p-cones and beyond.

Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong

CoRR, 2021

A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem.

Xinxin Li, Ting Kei Pong, Hao Sun, Henry Wolkowicz

Comput. Optim. Appl., 2021

2020

A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints.

Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda

SIAM J. Matrix Anal. Appl., 2020

A Subgradient-Based Approach for Finding the Maximum Feasible Subsystem with Respect to a Set.

Minglu Ye, Ting Kei Pong

SIAM J. Optim., 2020

Inner approximating the completely positive cone via the cone of scaled diagonally dominant matrices.

João Gouveia, Ting Kei Pong, Mina Saee

J. Glob. Optim., 2020

A difference-of-convex approach for split feasibility with applications to matrix factorizations and outlier detection.

Chen Chen, Ting Kei Pong, Lulin Tan, Liaoyuan Zeng

J. Glob. Optim., 2020

2019

Polar Convolution.

Michael P. Friedlander, Ives Macêdo, Ting Kei Pong

SIAM J. Optim., 2019

A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems.

Tianxiang Liu, Ting Kei Pong, Akiko Takeda

Math. Program., 2019

Iteratively reweighted \(\ell _1\) algorithms with extrapolation.

Peiran Yu, Ting Kei Pong

Comput. Optim. Appl., 2019

A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection.

Tianxiang Liu, Ting Kei Pong, Akiko Takeda

Comput. Optim. Appl., 2019

2018

A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems.

Lei Yang, Ting Kei Pong, Xiaojun Chen

SIAM J. Optim., 2018

Calculus of the Exponent of Kurdyka-Łojasiewicz Inequality and Its Applications to Linear Convergence of First-Order Methods.

Guoyin Li, Ting Kei Pong

Found. Comput. Math., 2018

A proximal difference-of-convex algorithm with extrapolation.

Bo Wen, Xiaojun Chen, Ting Kei Pong

Comput. Optim. Appl., 2018

2017

Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems.

Bo Wen, Xiaojun Chen, Ting Kei Pong

SIAM J. Optim., 2017

Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction.

Lei Yang, Ting Kei Pong, Xiaojun Chen

SIAM J. Imaging Sci., 2017

Two-stage stochastic variational inequalities: an ERM-solution procedure.

Xiaojun Chen, Ting Kei Pong, Roger J.-B. Wets

Math. Program., 2017

Further properties of the forward-backward envelope with applications to difference-of-convex programming.

Tianxiang Liu, Ting Kei Pong

Comput. Optim. Appl., 2017

Peaceman-Rachford splitting for a class of nonconvex optimization problems.

Guoyin Li, Tianxiang Liu, Ting Kei Pong

Comput. Optim. Appl., 2017

2016

Penalty Methods for a Class of Non-Lipschitz Optimization Problems.

Xiaojun Chen, Zhaosong Lu, Ting Kei Pong

SIAM J. Optim., 2016

Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems.

Guoyin Li, Ting Kei Pong

Math. Program., 2016

Social Resistance.

Michael P. Friedlander, Nathan Krislock, Ting Kei Pong

Comput. Sci. Eng., 2016

Eigenvalue, quadratic programming, and semidefinite programming relaxations for a cut minimization problem.

Ting Kei Pong, Hao Sun, Ningchuan Wang, Henry Wolkowicz

Comput. Optim. Appl., 2016

2015

Global Convergence of Splitting Methods for Nonconvex Composite Optimization.

Guoyin Li, Ting Kei Pong

SIAM J. Optim., 2015

Peaceman-Rachford splitting for a class of nonconvex optimization problems.

Guoyin Li, Ting Kei Pong

CoRR, 2015

2014

Gauge Optimization and Duality.

Michael P. Friedlander, Ives Macêdo, Ting Kei Pong

SIAM J. Optim., 2014

Splitting methods for nonconvex composite optimization.

Guoyin Li, Ting Kei Pong

CoRR, 2014

The generalized trust region subproblem.

Ting Kei Pong, Henry Wolkowicz

Comput. Optim. Appl., 2014

Robust least square semidefinite programming with applications.

Guoyin Li, Alfred Ka Chun Ma, Ting Kei Pong

Comput. Optim. Appl., 2014

2013

Computing Optimal Experimental Designs via Interior Point Method.

Zhaosong Lu, Ting Kei Pong

SIAM J. Matrix Anal. Appl., 2013

Hankel Matrix Rank Minimization with Applications to System Identification and Realization.

Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng

SIAM J. Matrix Anal. Appl., 2013

Convex relaxation for finding planted influential nodes in a social network.

Lisa Elkin, Ting Kei Pong, Stephen A. Vavasis

CoRR, 2013

2012

An alternating direction method for finding Dantzig selectors.

Zhaosong Lu, Ting Kei Pong, Yong Zhang

Comput. Stat. Data Anal., 2012

Edge-based semidefinite programming relaxation of sensor network localization with lower bound constraints.

Ting Kei Pong

Comput. Optim. Appl., 2012

Comparing SOS and SDP relaxations of sensor network localization.

João Gouveia, Ting Kei Pong

Comput. Optim. Appl., 2012

2011

Minimizing Condition Number via Convex Programming.

Zhaosong Lu, Ting Kei Pong

SIAM J. Matrix Anal. Appl., 2011

(Robust) Edge-based semidefinite programming relaxation of sensor network localization.

Ting Kei Pong, Paul Tseng

Math. Program., 2011

2010

Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning.

Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye

SIAM J. Optim., 2010

2008

Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization.

Chong Li, Kung Fu Ng, Ting Kei Pong

SIAM J. Optim., 2008

2007

The SECQ, Linear Regularity, and the Strong CHIP for an Infinite System of Closed Convex Sets in Normed Linear Spaces.

Chong Li, Kung Fu Ng, Ting Kei Pong

SIAM J. Optim., 2007