Ting Kei Pong

Work

Hong Kong Polytechnic University

Professor

Hong Kong

Jul 2024→ Present

Hong Kong Polytechnic University

Associate Professor

Hong Kong

Jul 2020→ Jun 2024

The Hong Kong Polytechnic University

Assistant Professor

China

Aug 2014→ Jun 2020

University of British Columbia

PIMS Postdoctoral Fellow

Canada

Jul 2013→ Jul 2014

University of Waterloo

Postdoctoral Fellow

Canada

Jun 2011→ Jul 2013

Education

University of Washington

United States of America

Jun 2011→ Jul 2013

PhD

Chinese University of Hong Kong

China

Jun 2011→ Jul 2013

MPhil

Chinese University of Hong Kong

China

Jun 2011→ Jul 2013

Bachelor

Publications

An extended sequential quadratic method with extrapolation

Computational Optimization and Applications

Jan 2025

journal-article

Optimal Error Bounds in the Absence of Constraint Qualifications with Applications to p-Cones and Beyond

Mathematics of Operations Research

Jan 2025

journal-article

Doubly iteratively reweighted algorithm for constrained compressed sensing models

Computational Optimization and Applications

Jan 2023

journal-article

$$\rho$$-regularization subproblems: strong duality and an eigensolver-based algorithm

Computational Optimization and Applications

Jan 2022

journal-article

Kurdyka–Łojasiewicz Exponent via Inf-projection

Foundations of Computational Mathematics

Jan 2021

journal-article

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

Computational Optimization and Applications

Jan 2021

journal-article

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

SIAM Journal on Optimization

Jan 2021

journal-article

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

SIAM Journal on Optimization

Jan 2021

journal-article

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

SIAM Journal on Matrix Analysis and Applications

Jan 2020

journal-article

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

Journal of Global Optimization

Jan 2020

journal-article

A subgradient-based approach for finding the maximum feasible subsystem with respect to a set

SIAM Journal on Optimization

Jan 2020

journal-article

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

Journal of Global Optimization

Jan 2020

journal-article

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

Mathematical Programming

Jan 2019

journal-article

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

Mathematical Programming

Jan 2019

journal-article

Iteratively reweighted $$\ell _1$$ ℓ 1 algorithms with extrapolation

Computational Optimization and Applications

Jan 2019

journal-article

Iteratively reweighted ℓ 1 algorithms with extrapolation

Computational Optimization and Applications

Jan 2019

journal-article

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

Computational Optimization and Applications

Jan 2019

journal-article

A refined convergence analysis of pDCA e with applications to simultaneous sparse recovery and outlier detection

Computational Optimization and Applications

Jan 2019

journal-article

Polar Convolution

SIAM Journal on Optimization

Jan 2019

journal-article

Polar convolution

SIAM Journal on Optimization

Jan 2019

journal-article

A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems Read More: https://epubs.siam.org/doi/abs/10.1137/17M1130113

SIAM Journal on Optimization

Jan 2018

journal-article

A nonmonotone alternating updating method for a class of matrix factorization problems ^∗

SIAM Journal on Optimization

Jan 2018

journal-article

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

Foundations of Computational Mathematics

Jan 2018

journal-article

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

Foundations of Computational Mathematics

Jan 2018

journal-article

A proximal difference-of-convex algorithm with extrapolation

Computational Optimization and Applications

Jan 2018

journal-article

A proximal difference-of-convex algorithm with extrapolation

Computational Optimization and Applications

Jan 2018

journal-article

Peaceman-Rachford splitting for a class of nonconvex optimization problems

Computational Optimization and Applications

Jan 2017

journal-article

Peaceman–Rachford splitting for a class of nonconvex optimization problems

Computational Optimization and Applications

Jan 2017

journal-article

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

Mathematical Programming

Jan 2017

journal-article

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

Mathematical Programming

Jan 2017

journal-article

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

Computational Optimization and Applications

Jan 2017

journal-article

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

Computational Optimization and Applications

Jan 2017

journal-article

Alternating direction method of multipliers for a class of nonconvex and nonsmooth problems with applications to background/foreground extraction

SIAM Journal on Optimization

Jan 2017

journal-article

Alternating direction method of multipliers for a class of nonconvex and nonsmooth problems with applications to background/foreground extraction

SIAM Journal on Imaging Sciences

Jan 2017

journal-article

Linear convergence of proximal gradient algorithm with extrapolation for a class of nonconvex nonsmooth minimization problems

SIAM Journal on Optimization

Jan 2017

journal-article

Linear convergence of proximal gradient algorithm with extrapolation for a class of nonconvex nonsmooth minimization problems

SIAM Journal on Optimization

Jan 2017

journal-article

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

Mathematical Programming

Jan 2016

journal-article

Douglas–Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems

Mathematical Programming

Jan 2016

journal-article

Penalty methods for a class of non-Lipschitz optimization problems

SIAM Journal on Optimization

Jan 2016

journal-article

Penalty methods for a class of non-lipschitz optimization problems

SIAM Journal on Optimization

Jan 2016

journal-article

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

Computational Optimization and Applications

Jan 2016

journal-article

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

Computational Optimization and Applications

Jan 2016

journal-article

Social resistance

Computing in Science and Engineering

Jan 2016

journal-article

Global convergence of splitting methods for nonconvex composite optimization

SIAM Journal on Optimization

Jan 2015

journal-article

Global convergence of splitting methods for nonconvex composite op timization

SIAM Journal on Optimization

Jan 2015

journal-article

Gauge Optimization and Duality

SIAM Journal on Optimization

Jan 2014

journal-article

Gauge optimization and duality

SIAM Journal on Optimization

Jan 2014

journal-article

Robust least square semidefinite programming with applications

Computational Optimization and Applications

Jan 2014

journal-article

Robust least square semidefinite programming with applications

Jan 2014

journal-article

The generalized trust region subproblem

Computational Optimization and Applications

Jan 2014

journal-article

The generalized trust region subproblem

Comput Optim Appl

Jan 2014

journal-article

The generalized trust region subproblem

Computational Optimization and Applications

Jan 2014

journal-article

Computing optimal experimental designs via interior point method

SIAM Journal on Matrix Analysis and Applications

Jan 2013

journal-article

Computing optimal experimental designs via interior point method

Jan 2013

journal-article

Hankel matrix rank minimization with applications to system identification and realization

SIAM Journal on Matrix Analysis and Applications

Jan 2013

journal-article

Hankel matrix rank minimization with applications to system identification and realization

Jan 2013

journal-article

An alternating direction method for finding Dantzig selectors

Computational Statistics & Data Analysis

Jan 2012

journal-article

An alternating direction method for finding Dantzig selectors

Jan 2012

journal-article

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

Computational Optimization and Applications

Jan 2012

journal-article

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

Jan 2012

journal-article

Comparing SOS and SDP relaxations of sensor network localization

Computational Optimization and Applications

Jan 2012

journal-article

Comparing SOS and SDP relaxations of sensor network localization

Jan 2012

journal-article

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

Mathematical Programming

Jan 2011

journal-article

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

Jan 2011

journal-article

Minimizing condition number via convex programming

SIAM Journal on Matrix Analysis and Applications

Jan 2011

journal-article

Minimizing condition number via convex programming

Jan 2011

journal-article

Trace norm regularization: Reformulations, algorithms, and multi-task learning

SIAM Journal on Optimization

Jan 2010

journal-article

Trace norm regularization: Reformulations, algorithms, and multi-task learning

Jan 2010

journal-article

Constraint qualifications for convex inequality systems with applications in constrained optimization

SIAM Journal on Optimization

Jan 2008

journal-article

Constraint qualifications for convex inequality systems with applications in constrained optimization

Jan 2008

journal-article

The SECQ, linear regularity, and the strong chip for an infinite system of closed convex sets in normed linear spaces

SIAM Journal on Optimization

Jan 2007

journal-article

The SECQ, linear regularity, and the strong chip for an infinite system of closed convex sets in normed linear spaces

Jan 2007

journal-article

Ting Kei Pong

Work

Hong Kong Polytechnic University

Hong Kong Polytechnic University

The Hong Kong Polytechnic University

University of British Columbia

University of Waterloo

Education

University of Washington

Chinese University of Hong Kong

Chinese University of Hong Kong

Publications

An extended sequential quadratic method with extrapolation

Optimal Error Bounds in the Absence of Constraint Qualifications with Applications to p-Cones and Beyond

Doubly iteratively reweighted algorithm for constrained compressed sensing models

$$\rho$$-regularization subproblems: strong duality and an eigensolver-based algorithm

Kurdyka–Łojasiewicz Exponent via Inf-projection

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

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

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

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

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

A subgradient-based approach for finding the maximum feasible subsystem with respect to a set

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

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

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

Iteratively reweighted $$\ell _1$$ ℓ 1 algorithms with extrapolation

Iteratively reweighted ℓ 1 algorithms with extrapolation

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

A refined convergence analysis of pDCA e with applications to simultaneous sparse recovery and outlier detection

Polar Convolution

Polar convolution

A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems Read More: https://epubs.siam.org/doi/abs/10.1137/17M1130113

A nonmonotone alternating updating method for a class of matrix factorization problems ∗

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

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

A proximal difference-of-convex algorithm with extrapolation

A proximal difference-of-convex algorithm with extrapolation

Peaceman-Rachford splitting for a class of nonconvex optimization problems

Peaceman–Rachford splitting for a class of nonconvex optimization problems

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

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

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

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

Alternating direction method of multipliers for a class of nonconvex and nonsmooth problems with applications to background/foreground extraction

Alternating direction method of multipliers for a class of nonconvex and nonsmooth problems with applications to background/foreground extraction

Linear convergence of proximal gradient algorithm with extrapolation for a class of nonconvex nonsmooth minimization problems

Linear convergence of proximal gradient algorithm with extrapolation for a class of nonconvex nonsmooth minimization problems

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

Douglas–Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems

Penalty methods for a class of non-Lipschitz optimization problems

Penalty methods for a class of non-lipschitz optimization problems

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

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

Social resistance

Global convergence of splitting methods for nonconvex composite optimization

Global convergence of splitting methods for nonconvex composite op timization

Gauge Optimization and Duality

Gauge optimization and duality

Robust least square semidefinite programming with applications

Robust least square semidefinite programming with applications

The generalized trust region subproblem

The generalized trust region subproblem

The generalized trust region subproblem

Computing optimal experimental designs via interior point method

Computing optimal experimental designs via interior point method

Hankel matrix rank minimization with applications to system identification and realization

Hankel matrix rank minimization with applications to system identification and realization

An alternating direction method for finding Dantzig selectors

An alternating direction method for finding Dantzig selectors

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

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

Comparing SOS and SDP relaxations of sensor network localization

Comparing SOS and SDP relaxations of sensor network localization

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

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

Minimizing condition number via convex programming

Minimizing condition number via convex programming

Trace norm regularization: Reformulations, algorithms, and multi-task learning

Trace norm regularization: Reformulations, algorithms, and multi-task learning

A nonmonotone alternating updating method for a class of matrix factorization problems ^∗