Nonlinearly Constrained Best Approximation in Hilbert Spaces: The Strong CHIP and the Basic Constraint Qualification. - Chong Li 002; Xiao-Qing Jin (SIAM J. Optim., 2002)

On Best Approximation by Nonconvex Sets and Perturbation of Nonconvex Inequality Systems in Hilbert Spaces. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2002)

On best uniform restricted range approximation in complex-valued continuous function spaces. - Chong Li 002 (J. Approx. Theory, 2003)

Porosity of mutually nearest and mutually furthest points in Banach spaces. - Chong Li 002; Hong-Kun Xu (J. Approx. Theory, 2003)

Constraint Qualification, the Strong CHIP, and Best Approximation with Convex Constraints in Banach Spaces. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2003)

Strong uniqueness of the restricted Chebyshev center with respect to an RS-set in a Banach space. - Chong Li 002 (J. Approx. Theory, 2005)

On best restricted range approximation in continuous complex-valued function spaces. - Chong Li 002; Kung Fu Ng (J. Approx. Theory, 2005)

Strong CHIP for Infinite System of Closed Convex Sets in Normed Linear Spaces. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2005)

On Constraint Qualification for an Infinite System of Convex Inequalities in a Banach Space. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2005)

Uniqueness of the singular points of vector fields on Riemannian manifolds under the gamma-condition. - Jin-hua Wang 001; Chong Li 002 (J. Complex., 2006)

Majorizing Functions and Convergence of the Gauss–Newton Method for Convex Composite Optimization. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2007)

The SECQ, Linear Regularity, and the Strong CHIP for an Infinite System of Closed Convex Sets in Normed Linear Spaces. - Chong Li 002; Kung Fu Ng; Ting Kei Pong (SIAM J. Optim., 2007)

Uniqueness of simultaneous approximations in continuous function spaces. - Lihui Peng; Chong Li 002 (Appl. Math. Lett., 2008)

Newton's method for sections on Riemannian manifolds: Generalized covariant alpha-theory. - Chong Li 002; Jinhua Wang 001 (J. Complex., 2008)

Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization. - Chong Li 002; Kung Fu Ng; Ting Kei Pong (SIAM J. Optim., 2008)

Smale's point estimate theory for Newton's method on Lie groups. - Chong Li 002; Jin-Hua Wang 001; Jean-Pierre Dedieu (J. Complex., 2009)

Stable and Total Fenchel Duality for Convex Optimization Problems in Locally Convex Spaces. - Chong Li 002; Donghui Fang; Genaro López-Acedo; Marco A. López 001 (SIAM J. Optim., 2009)

Nearest and farthest points in spaces of curvature bounded below. - Rafael Espínola; Chong Li 002; Genaro López-Acedo (J. Approx. Theory, 2010)

The Bregman distance, approximate compactness and convexity of Chebyshev sets in Banach spaces. - Chong Li 002; Wen Song; Jen-Chih Yao (J. Approx. Theory, 2010)

Convergence behavior of Gauss-Newton's method and extensions of the Smale point estimate theory. - Chong Li 002; Nuchun Hu; Jinhua Wang 001 (J. Complex., 2010)

Subdifferentials of perturbed distance functions in Banach spaces. - Jin-Hua Wang 001; Chong Li 002; Hong-Kun Xu (J. Glob. Optim., 2010)

Existence of best simultaneous approximations in Lp(S, Σ, X). - Xian-Fa Luo; Chong Li 002; Hong-Kun Xu; Jen-Chih Yao (J. Approx. Theory, 2011)

Adaptive pixon represented segmentation (APRS) for 3D MR brain images based on mean shift and Markov random fields. - Lei Lin; Daniel García-Lorenzo; Chong Li 002; Tianzi Jiang; Christian Barillot (Pattern Recognit. Lett., 2011)

Weak Sharp Minima on Riemannian Manifolds. - Chong Li 002; Boris S. Mordukhovich; Jinhua Wang 001; Jen-Chih Yao (SIAM J. Optim., 2011)

Subdifferential Calculus Rules for Supremum Functions in Convex Analysis. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2011)

Gauss-Newton method for convex composite optimizations on Riemannian manifolds. - Jin-Hua Wang 001; Jen-Chih Yao; Chong Li 002 (J. Glob. Optim., 2012)

Variational Inequalities for Set-Valued Vector Fields on Riemannian Manifolds: Convexity of the Solution Set and the Proximal Point Algorithm. - Chong Li 002; Jen-Chih Yao (SIAM J. Control. Optim., 2012)

Approximate Solutions for Abstract Inequality Systems. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2013)

Quasi-Slater and Farkas-Minkowski Qualifications for Semi-infinite Programming with Applications. - Chong Li 002; Xiaopeng Zhao; Yaohua Hu (SIAM J. Optim., 2013)

An improved OPDT model in high angular resolution diffusion imaging. - Na Zhang; Chong Li 002; Tianzi Jiang (J. Math. Imaging Vis., 2014)

The Dual Normal CHIP and Linear Regularity for Infinite Systems of Convex Sets in Banach Spaces. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2014)

Convergence analysis of inexact proximal point algorithms on Hadamard manifolds. - Jinhua Wang 001; Chong Li 002; Genaro López-Acedo; Jen-Chih Yao (J. Glob. Optim., 2015)

Subgradient Projection Algorithms for Convex Feasibility on Riemannian Manifolds with Lower Bounded Curvatures. - Xiangmei Wang; Chong Li 002; Jen-Chih Yao (J. Optim. Theory Appl., 2015)

Finite Termination of Inexact Proximal Point Algorithms in Hilbert Spaces. - Jinhua Wang 001; Chong Li 002; Jen-Chih Yao (J. Optim. Theory Appl., 2015)

Linear Convergence of Subgradient Algorithm for Convex Feasibility on Riemannian Manifolds. - Xiangmei Wang; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao (SIAM J. Optim., 2015)

New Insights into Signed Path Coefficient Granger Causality Analysis. - Jian Zhang 035; Chong Li 002; Tianzi Jiang (Frontiers Neuroinformatics, 2016)

Local convergence of Newton's method on the Heisenberg group. - Béchir Dali; Chong Li 002; Jinhua Wang 001 (J. Comput. Appl. Math., 2016)

What Do 'Convexities' Imply on Hadamard Manifolds? - Alexandru Kristály; Chong Li 002; Genaro López-Acedo; Adriana Nicolae (J. Optim. Theory Appl., 2016)

On Some Basic Results Related to Affine Functions on Riemannian Manifolds. - Xiangmei Wang; Chong Li 002; Jen-Chih Yao (J. Optim. Theory Appl., 2016)

On Convergence Rates of Linearized Proximal Algorithms for Convex Composite Optimization with Applications. - Yaohua Hu; Chong Li 002; Xiaoqi Yang 001 (SIAM J. Optim., 2016)

Proximal Point Algorithms on Hadamard Manifolds: Linear Convergence and Finite Termination. - Jinhua Wang 001; Chong Li 002; Genaro López-Acedo; Jen-Chih Yao (SIAM J. Optim., 2016)

Convergence Analysis of Newton-Like Methods for Inverse Eigenvalue Problems with Multiple Eigenvalues. - Weiping Shen; Chong Li 002; Jen-Chih Yao (SIAM J. Numer. Anal., 2016)

Group Sparse Optimization via lp, q Regularization. - Yaohua Hu; Chong Li 002; Kaiwen Meng; Jing Qin 004; Xiaoqi Yang 001 (J. Mach. Learn. Res., 2017)

Convergence of a Ulm-like method for square inverse singular value problems with multiple and zero singular values. - Weiping Shen; Yaohua Hu; Chong Li 002; Jen-Chih Yao (Numer. Algorithms, 2018)

Weak Sharp Minima for Convex Infinite Optimization Problems in Normed Linear Spaces. - Chong Li 002; Li Meng; Lihui Peng; Yaohua Hu; Jen-Chih Yao (SIAM J. Optim., 2018)

Quantitative Analysis for Perturbed Abstract Inequality Systems in Banach Spaces. - Chong Li 002; Kung Fu Ng (SIAM J. Optim., 2018)

Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies. - Xin Li 061; Dongya Wu; Yue Cui 005; Bing Liu 008; Henrik Walter; Gunter Schumann; Chong Li 002; Tianzi Jiang (BMC Bioinform., 2019)

Sparse estimation via 𝓁q optimization method in high-dimensional linear regression. - Xin Li 061; Yaohua Hu; Chong Li 002; Xiaoqi Yang 001; Tianzi Jiang (CoRR, 2019)

Extended Newton Methods for Multiobjective Optimization: Majorizing Function Technique and Convergence Analysis. - Jinhua Wang 001; Yaohua Hu; Carisa Kwok Wai Yu; Chong Li 002; Xiaoqi Yang 001 (SIAM J. Optim., 2019)

Sparse recovery via nonconvex regularized M-estimators over ℓq-balls. - Xin Li 061; Dongya Wu; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao (Comput. Stat. Data Anal., 2020)

Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems. - Yaohua Hu; Chong Li 002; Kaiwen Meng; Xiaoqi Yang 001 (J. Glob. Optim., 2021)

The FM and BCQ Qualifications for Inequality Systems of Convex Functions in Normed Linear Spaces. - Chong Li 002; Kung Fu Ng; Jen-Chih Yao; Xiaopeng Zhao (SIAM J. Optim., 2021)

Convergence Analysis of Gradient Algorithms on Riemannian Manifolds without Curvature Constraints and Application to Riemannian Mass. - Jinhua Wang 001; Xiangmei Wang; Chong Li 002; Jen-Chih Yao (SIAM J. Optim., 2021)

Sparse estimation via lower-order penalty optimization methods in high-dimensional linear regression. - Xin Li 061; Yaohua Hu; Chong Li 002; Xiaoqi Yang 001; Tianzi Jiang (J. Glob. Optim., 2023)

Convergence of Inexact Steepest Descent Algorithm for Multiobjective Optimizations on Riemannian Manifolds Without Curvature Constraints. - Xiangmei Wang; Jinhua Wang 001; Chong Li 002 (J. Optim. Theory Appl., 2023)

Convergence Rate of Inexact Proximal Point Algorithms for Operator with Hölder Metric Subregularity. - Jinhua Wang 001; Chong Li 002; K. F. Ng (SIAM J. Optim., 2023)

An extended Ulm-like method for inverse singular value problems with multiple and/or zero singular values. - Jinhua Wang 001; Weiping Shen; Chong Li 002; Xiao-Qing Jin (J. Comput. Appl. Math., 2023)

Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem. - Sangho Kum; Chong Li 002; Jinhua Wang 001; Jen-Chih Yao; Linglingzhi Zhu (Numer. Algorithms, 2023)