Ting Kei Pong - RankMe

59 papers Journal 59

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An extended sequential quadratic method with extrapolation. Comput. Optim. Appl. Yongle Zhang, Ting Kei Pong, Shiqi Xu
2025	J	`jnl`	Error bounds for perspective cones of a class of nonnegative Legendre functions. CoRR Xiaozhou Wang, Bruno F. Lourenço, Ting Kei Pong
2025	J	`jnl`	Kurdyka-Łojasiewicz Exponent via Hadamard Parametrization. SIAM J. Optim. Wenqing Ouyang, Yuncheng Liu, Ting Kei Pong, Hao Wang
2025	J	`jnl`	Optimal Error Bounds in the Absence of Constraint Qualifications with Applications to Math. Oper. Res. Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
2025	J	`jnl`	Subdifferentially Polynomially Bounded Functions and Gaussian Smoothing-Based Zeroth-Order Optimization. SIAM J. Optim. Ming Lei, Ting Kei Pong, Shuqin Sun, Man-Chung Yue
2025	J	`jnl`	Tight Error Bounds for Log-Determinant Cones Without Constraint Qualifications. J. Optim. Theory Appl. Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
2024	J	`jnl`	Convergence Rate Analysis of a Dykstra-Type Projection Algorithm. SIAM J. Optim. Xiaozhou Wang, Ting Kei Pong
2024	J	`jnl`	Frank-Wolfe-type methods for a class of nonconvex inequality-constrained problems. Math. Program. Liaoyuan Zeng, Yongle Zhang, Guoyin Li, Ting Kei Pong, Xiaozhou Wang
2024	J	`jnl`	Generalized Power Cones: Optimal Error Bounds and Automorphisms. SIAM J. Optim. Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
2024	J	`jnl`	Tight error bounds for log-determinant cones without constraint qualifications. CoRR Ying Lin, Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
2023	J	`jnl`	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. Chuan He, Zhaosong Lu, Ting Kei Pong
2023	J	`jnl`	A Newton-CG based augmented Lagrangian method for finding a second-order stationary point of nonconvex equality constrained optimization with complexity guarantees. CoRR Chuan He, Zhaosong Lu, Ting Kei Pong
2023	J	`jnl`	Doubly iteratively reweighted algorithm for constrained compressed sensing models. Comput. Optim. Appl. Shuqin Sun, Ting Kei Pong
2023	J	`jnl`	Doubly majorized algorithm for sparsity-inducing optimization problems with regularizer-compatible constraints. Comput. Optim. Appl. Tianxiang Liu, Ting Kei Pong, Akiko Takeda
2023	J	`jnl`	Error bounds, facial residual functions and applications to the exponential cone. Math. Program. Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
2023	J	`jnl`	Retraction-based first-order feasible methods for difference-of-convex programs with smooth inequality and simple geometric constraints. Adv. Comput. Math. Yongle Zhang, Guoyin Li, Ting Kei Pong, Shiqi Xu
2022	J	`jnl`	Kurdyka-Łojasiewicz Exponent via Inf-projection. Found. Comput. Math. Peiran Yu, Guoyin Li, Ting Kei Pong
2022	J	`jnl`	ρ-regularization subproblems: strong duality and an eigensolver-based algorithm. Comput. Optim. Appl. Liaoyuan Zeng, Ting Kei Pong
2021	J	`jnl`	A strictly contractive Peaceman-Rachford splitting method for the doubly nonnegative relaxation of the minimum cut problem. Comput. Optim. Appl. Xinxin Li, Ting Kei Pong, Hao Sun, Henry Wolkowicz
2021	J	`jnl`	Analysis and Algorithms for Some Compressed Sensing Models Based on L1/L2 Minimization. SIAM J. Optim. Liaoyuan Zeng, Peiran Yu, Ting Kei Pong
2021	J	`jnl`	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. Peiran Yu, Ting Kei Pong, Zhaosong Lu
2021	J	`jnl`	Tight error bounds and facial residual functions for the p-cones and beyond. CoRR Scott B. Lindstrom, Bruno F. Lourenço, Ting Kei Pong
2020	J	`jnl`	A Hybrid Penalty Method for a Class of Optimization Problems with Multiple Rank Constraints. SIAM J. Matrix Anal. Appl. Tianxiang Liu, Ivan Markovsky, Ting Kei Pong, Akiko Takeda
2020	J	`jnl`	A Subgradient-Based Approach for Finding the Maximum Feasible Subsystem with Respect to a Set. SIAM J. Optim. Minglu Ye, Ting Kei Pong
2020	J	`jnl`	A difference-of-convex approach for split feasibility with applications to matrix factorizations and outlier detection. J. Glob. Optim. Chen Chen, Ting Kei Pong, Lulin Tan, Liaoyuan Zeng
2020	J	`jnl`	Inner approximating the completely positive cone via the cone of scaled diagonally dominant matrices. J. Glob. Optim. João Gouveia, Ting Kei Pong, Mina Saee
2019	J	`jnl`	A refined convergence analysis of \(\hbox {pDCA}_{e}\) with applications to simultaneous sparse recovery and outlier detection. Comput. Optim. Appl. Tianxiang Liu, Ting Kei Pong, Akiko Takeda
2019	J	`jnl`	A successive difference-of-convex approximation method for a class of nonconvex nonsmooth optimization problems. Math. Program. Tianxiang Liu, Ting Kei Pong, Akiko Takeda
2019	J	`jnl`	Iteratively reweighted \(\ell _1\) algorithms with extrapolation. Comput. Optim. Appl. Peiran Yu, Ting Kei Pong
2019	J	`jnl`	Polar Convolution. SIAM J. Optim. Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
2018	J	`jnl`	A Nonmonotone Alternating Updating Method for a Class of Matrix Factorization Problems. SIAM J. Optim. Lei Yang, Ting Kei Pong, Xiaojun Chen
2018	J	`jnl`	A proximal difference-of-convex algorithm with extrapolation. Comput. Optim. Appl. Bo Wen, Xiaojun Chen, Ting Kei Pong
2018	J	`jnl`	Calculus of the Exponent of Kurdyka-Łojasiewicz Inequality and Its Applications to Linear Convergence of First-Order Methods. Found. Comput. Math. Guoyin Li, Ting Kei Pong
2017	J	`jnl`	Alternating Direction Method of Multipliers for a Class of Nonconvex and Nonsmooth Problems with Applications to Background/Foreground Extraction. SIAM J. Imaging Sci. Lei Yang, Ting Kei Pong, Xiaojun Chen
2017	J	`jnl`	Further properties of the forward-backward envelope with applications to difference-of-convex programming. Comput. Optim. Appl. Tianxiang Liu, Ting Kei Pong
2017	J	`jnl`	Linear Convergence of Proximal Gradient Algorithm with Extrapolation for a Class of Nonconvex Nonsmooth Minimization Problems. SIAM J. Optim. Bo Wen, Xiaojun Chen, Ting Kei Pong
2017	J	`jnl`	Peaceman-Rachford splitting for a class of nonconvex optimization problems. Comput. Optim. Appl. Guoyin Li, Tianxiang Liu, Ting Kei Pong
2017	J	`jnl`	Two-stage stochastic variational inequalities: an ERM-solution procedure. Math. Program. Xiaojun Chen, Ting Kei Pong, Roger J.-B. Wets
2016	J	`jnl`	Douglas-Rachford splitting for nonconvex optimization with application to nonconvex feasibility problems. Math. Program. Guoyin Li, Ting Kei Pong
2016	J	`jnl`	Eigenvalue, quadratic programming, and semidefinite programming relaxations for a cut minimization problem. Comput. Optim. Appl. Ting Kei Pong, Hao Sun, Ningchuan Wang, Henry Wolkowicz
2016	J	`jnl`	Penalty Methods for a Class of Non-Lipschitz Optimization Problems. SIAM J. Optim. Xiaojun Chen, Zhaosong Lu, Ting Kei Pong
2016	J	`jnl`	Social Resistance. Comput. Sci. Eng. Michael P. Friedlander, Nathan Krislock, Ting Kei Pong
2015	J	`jnl`	Global Convergence of Splitting Methods for Nonconvex Composite Optimization. SIAM J. Optim. Guoyin Li, Ting Kei Pong
2015	J	`jnl`	Peaceman-Rachford splitting for a class of nonconvex optimization problems. CoRR Guoyin Li, Ting Kei Pong
2014	J	`jnl`	Gauge Optimization and Duality. SIAM J. Optim. Michael P. Friedlander, Ives Macêdo, Ting Kei Pong
2014	J	`jnl`	Robust least square semidefinite programming with applications. Comput. Optim. Appl. Guoyin Li, Alfred Ka Chun Ma, Ting Kei Pong
2014	J	`jnl`	Splitting methods for nonconvex composite optimization. CoRR Guoyin Li, Ting Kei Pong
2014	J	`jnl`	The generalized trust region subproblem. Comput. Optim. Appl. Ting Kei Pong, Henry Wolkowicz
2013	J	`jnl`	Computing Optimal Experimental Designs via Interior Point Method. SIAM J. Matrix Anal. Appl. Zhaosong Lu, Ting Kei Pong
2013	J	`jnl`	Convex relaxation for finding planted influential nodes in a social network. CoRR Lisa Elkin, Ting Kei Pong, Stephen A. Vavasis
2013	J	`jnl`	Hankel Matrix Rank Minimization with Applications to System Identification and Realization. SIAM J. Matrix Anal. Appl. Maryam Fazel, Ting Kei Pong, Defeng Sun, Paul Tseng
2012	J	`jnl`	An alternating direction method for finding Dantzig selectors. Comput. Stat. Data Anal. Zhaosong Lu, Ting Kei Pong, Yong Zhang
2012	J	`jnl`	Comparing SOS and SDP relaxations of sensor network localization. Comput. Optim. Appl. João Gouveia, Ting Kei Pong
2012	J	`jnl`	Edge-based semidefinite programming relaxation of sensor network localization with lower bound constraints. Comput. Optim. Appl. Ting Kei Pong
2011	J	`jnl`	(Robust) Edge-based semidefinite programming relaxation of sensor network localization. Math. Program. Ting Kei Pong, Paul Tseng
2011	J	`jnl`	Minimizing Condition Number via Convex Programming. SIAM J. Matrix Anal. Appl. Zhaosong Lu, Ting Kei Pong
2010	J	`jnl`	Trace Norm Regularization: Reformulations, Algorithms, and Multi-Task Learning. SIAM J. Optim. Ting Kei Pong, Paul Tseng, Shuiwang Ji, Jieping Ye
2008	J	`jnl`	Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization. SIAM J. Optim. Chong Li, Kung Fu Ng, Ting Kei Pong
2007	J	`jnl`	The SECQ, Linear Regularity, and the Strong CHIP for an Infinite System of Closed Convex Sets in Normed Linear Spaces. SIAM J. Optim. Chong Li, Kung Fu Ng, Ting Kei Pong