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Chong Li 0002
Person information
- affiliation: Zhejiang University, School of Mathematical Sciences, Hangzhou, China
Other persons with the same name
- Chong Li — disambiguation page
- Chong Li 0001
— Temple University, Philadelphia, PA, USA - Chong Li 0003
— Huawei Technologies France S.A.S.U, Boulogne-Billancourt, France (and 1 more) - Chong Li 0004
— Tsinghua University, Department of Mechanical Engineering, Lab of Intelligent and Biomimetic Machinery, Beijing, China (and 2 more) - Chong Li 0005
(aka: Max Chong Li) — Columbia University, Department of Electical Engineering, New York City, NY, USA (and 3 more) - Chong Li 0006
— Ocean University of China, School of Engineering, Department of Automation and Measurement, Qingdao, China (and 2 more) - Chong Li 0007
— Fudan University, School of Computer Science, Shanghai, China
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2020 – today
- 2023
[j57]Jinhua Wang, Weiping Shen, Chong Li, Xiao-Qing Jin:
An extended Ulm-like method for inverse singular value problems with multiple and/or zero singular values. J. Comput. Appl. Math. 432: 115261 (2023)
[j56]Xin Li, Yaohua Hu
, Chong Li, Xiaoqi Yang, Tianzi Jiang:
Sparse estimation via lower-order penalty optimization methods in high-dimensional linear regression. J. Glob. Optim. 85(2): 315-349 (2023)
[j55]Xiangmei Wang, Jinhua Wang, Chong Li:
Convergence of Inexact Steepest Descent Algorithm for Multiobjective Optimizations on Riemannian Manifolds Without Curvature Constraints. J. Optim. Theory Appl. 198(1): 187-214 (2023)
[j54]Sangho Kum, Chong Li, Jinhua Wang, Jen-Chih Yao, Linglingzhi Zhu
:
Riemannian linearized proximal algorithms for nonnegative inverse eigenvalue problem. Numer. Algorithms 94(4): 1819-1848 (2023)
[j53]Jinhua Wang, Chong Li, K. F. Ng:
Convergence Rate of Inexact Proximal Point Algorithms for Operator with Hölder Metric Subregularity. SIAM J. Optim. 33(3): 1996-2020 (2023)- 2021
[j52]Yaohua Hu, Chong Li, Kaiwen Meng
, Xiaoqi Yang:
Linear convergence of inexact descent method and inexact proximal gradient algorithms for lower-order regularization problems. J. Glob. Optim. 79(4): 853-883 (2021)
[j51]Jinhua Wang, Xiangmei Wang, Chong Li, Jen-Chih Yao:
Convergence Analysis of Gradient Algorithms on Riemannian Manifolds without Curvature Constraints and Application to Riemannian Mass. SIAM J. Optim. 31(1): 172-199 (2021)
[j50]Chong Li, Kung Fu Ng, Jen-Chih Yao, Xiaopeng Zhao:
The FM and BCQ Qualifications for Inequality Systems of Convex Functions in Normed Linear Spaces. SIAM J. Optim. 31(2): 1410-1432 (2021)- 2020
[j49]Xin Li, Dongya Wu, Chong Li, Jinhua Wang, Jen-Chih Yao:
Sparse recovery via nonconvex regularized M-estimators over ℓq-balls. Comput. Stat. Data Anal. 152: 107047 (2020)
2010 – 2019
- 2019
[j48]Xin Li
, Dongya Wu, Yue Cui, Bing Liu, Henrik Walter
, Gunter Schumann
, Chong Li, Tianzi Jiang:
Reliable heritability estimation using sparse regularization in ultrahigh dimensional genome-wide association studies. BMC Bioinform. 20(1): 219:1-219:11 (2019)
[j47]Jinhua Wang, Yaohua Hu
, Carisa Kwok Wai Yu, Chong Li, Xiaoqi Yang:
Extended Newton Methods for Multiobjective Optimization: Majorizing Function Technique and Convergence Analysis. SIAM J. Optim. 29(3): 2388-2421 (2019)
[i1]Xin Li, Yaohua Hu, Chong Li, Xiaoqi Yang, Tianzi Jiang:
Sparse estimation via 𝓁q optimization method in high-dimensional linear regression. CoRR abs/1911.05073 (2019)- 2018
[j46]Weiping Shen, Yaohua Hu, Chong Li, Jen-Chih Yao:
Convergence of a Ulm-like method for square inverse singular value problems with multiple and zero singular values. Numer. Algorithms 79(2): 375-398 (2018)
[j45]Chong Li, Li Meng, Lihui Peng, Yaohua Hu
, Jen-Chih Yao:
Weak Sharp Minima for Convex Infinite Optimization Problems in Normed Linear Spaces. SIAM J. Optim. 28(3): 1999-2021 (2018)
[j44]Chong Li, Kung Fu Ng:
Quantitative Analysis for Perturbed Abstract Inequality Systems in Banach Spaces. SIAM J. Optim. 28(4): 2872-2901 (2018)- 2017
[j43]Yaohua Hu, Chong Li, Kaiwen Meng, Jing Qin, Xiaoqi Yang:
Group Sparse Optimization via lp, q Regularization. J. Mach. Learn. Res. 18: 30:1-30:52 (2017)- 2016
[j42]Jian Zhang
, Chong Li, Tianzi Jiang:
New Insights into Signed Path Coefficient Granger Causality Analysis. Frontiers Neuroinformatics 10: 47 (2016)
[j41]Béchir Dali, Chong Li, Jinhua Wang:
Local convergence of Newton's method on the Heisenberg group. J. Comput. Appl. Math. 300: 217-232 (2016)
[j40]Xiangmei Wang, Chong Li, Jen-Chih Yao:
On Some Basic Results Related to Affine Functions on Riemannian Manifolds. J. Optim. Theory Appl. 170(3): 783-803 (2016)
[j39]Alexandru Kristály, Chong Li, Genaro López-Acedo, Adriana Nicolae:
What Do 'Convexities' Imply on Hadamard Manifolds? J. Optim. Theory Appl. 170(3): 1068-1074 (2016)
[j38]Yaohua Hu, Chong Li, Xiaoqi Yang
:
On Convergence Rates of Linearized Proximal Algorithms for Convex Composite Optimization with Applications. SIAM J. Optim. 26(2): 1207-1235 (2016)
[j37]Jinhua Wang, Chong Li, Genaro López-Acedo, Jen-Chih Yao:
Proximal Point Algorithms on Hadamard Manifolds: Linear Convergence and Finite Termination. SIAM J. Optim. 26(4): 2696-2729 (2016)
[j36]Weiping Shen, Chong Li, Jen-Chih Yao:
Convergence Analysis of Newton-Like Methods for Inverse Eigenvalue Problems with Multiple Eigenvalues. SIAM J. Numer. Anal. 54(5): 2938-2950 (2016)- 2015
[j35]Jinhua Wang, Chong Li, Genaro López-Acedo
, Jen-Chih Yao:
Convergence analysis of inexact proximal point algorithms on Hadamard manifolds. J. Glob. Optim. 61(3): 553-573 (2015)
[j34]Xiangmei Wang, Chong Li, Jen-Chih Yao:
Subgradient Projection Algorithms for Convex Feasibility on Riemannian Manifolds with Lower Bounded Curvatures. J. Optim. Theory Appl. 164(1): 202-217 (2015)
[j33]Jinhua Wang, Chong Li, Jen-Chih Yao:
Finite Termination of Inexact Proximal Point Algorithms in Hilbert Spaces. J. Optim. Theory Appl. 166(1): 188-212 (2015)
[j32]Xiangmei Wang, Chong Li, Jinhua Wang, Jen-Chih Yao:
Linear Convergence of Subgradient Algorithm for Convex Feasibility on Riemannian Manifolds. SIAM J. Optim. 25(4): 2334-2358 (2015)- 2014
[j31]Na Zhang, Chong Li, Tianzi Jiang:
An improved OPDT model in high angular resolution diffusion imaging. J. Math. Imaging Vis. 48(3): 385-395 (2014)
[j30]Chong Li, Kung Fu Ng:
The Dual Normal CHIP and Linear Regularity for Infinite Systems of Convex Sets in Banach Spaces. SIAM J. Optim. 24(3): 1075-1101 (2014)- 2013
[j29]Chong Li, Kung Fu Ng:
Approximate Solutions for Abstract Inequality Systems. SIAM J. Optim. 23(2): 1237-1256 (2013)
[j28]Chong Li, Xiaopeng Zhao, Yaohua Hu:
Quasi-Slater and Farkas-Minkowski Qualifications for Semi-infinite Programming with Applications. SIAM J. Optim. 23(4): 2208-2230 (2013)- 2012
[j27]Jin-Hua Wang, Jen-Chih Yao, Chong Li:
Gauss-Newton method for convex composite optimizations on Riemannian manifolds. J. Glob. Optim. 53(1): 5-28 (2012)
[j26]Chong Li, Jen-Chih Yao:
Variational Inequalities for Set-Valued Vector Fields on Riemannian Manifolds: Convexity of the Solution Set and the Proximal Point Algorithm. SIAM J. Control. Optim. 50(4): 2486-2514 (2012)- 2011
[j25]Xian-Fa Luo, Chong Li, Hong-Kun Xu, Jen-Chih Yao:
Existence of best simultaneous approximations in Lp(S, Σ, X). J. Approx. Theory 163(9): 1300-1316 (2011)
[j24]Lei Lin, Daniel García-Lorenzo, Chong Li, Tianzi Jiang, Christian Barillot:
Adaptive pixon represented segmentation (APRS) for 3D MR brain images based on mean shift and Markov random fields. Pattern Recognit. Lett. 32(7): 1036-1043 (2011)
[j23]Chong Li, Kung Fu Ng:
Subdifferential Calculus Rules for Supremum Functions in Convex Analysis. SIAM J. Optim. 21(3): 782-797 (2011)
[j22]Chong Li, Boris S. Mordukhovich, Jinhua Wang, Jen-Chih Yao:
Weak Sharp Minima on Riemannian Manifolds. SIAM J. Optim. 21(4): 1523-1560 (2011)- 2010
[j21]Chong Li, Wen Song, Jen-Chih Yao:
The Bregman distance, approximate compactness and convexity of Chebyshev sets in Banach spaces. J. Approx. Theory 162(6): 1128-1149 (2010)
[j20]Rafael Espínola
, Chong Li, Genaro López-Acedo
:
Nearest and farthest points in spaces of curvature bounded below. J. Approx. Theory 162(7): 1364-1380 (2010)
[j19]Chong Li, Nuchun Hu, Jinhua Wang:
Convergence behavior of Gauss-Newton's method and extensions of the Smale point estimate theory. J. Complex. 26(3): 268-295 (2010)
[j18]Jin-Hua Wang, Chong Li, Hong-Kun Xu:
Subdifferentials of perturbed distance functions in Banach spaces. J. Glob. Optim. 46(4): 489-501 (2010)
2000 – 2009
- 2009
[j17]Chong Li, Jin-Hua Wang, Jean-Pierre Dedieu:
Smale's point estimate theory for Newton's method on Lie groups. J. Complex. 25(2): 128-151 (2009)
[j16]Chong Li, Donghui Fang, Genaro López-Acedo
, Marco A. López
:
Stable and Total Fenchel Duality for Convex Optimization Problems in Locally Convex Spaces. SIAM J. Optim. 20(2): 1032-1051 (2009)- 2008
[j15]Lihui Peng, Chong Li:
Uniqueness of simultaneous approximations in continuous function spaces. Appl. Math. Lett. 21(4): 383-387 (2008)
[j14]Chong Li, Jinhua Wang:
Newton's method for sections on Riemannian manifolds: Generalized covariant alpha-theory. J. Complex. 24(3): 423-451 (2008)
[j13]Chong Li, Kung Fu Ng, Ting Kei Pong
:
Constraint Qualifications for Convex Inequality Systems with Applications in Constrained Optimization. SIAM J. Optim. 19(1): 163-187 (2008)- 2007
[j12]Chong Li, Kung Fu Ng:
Majorizing Functions and Convergence of the Gauss--Newton Method for Convex Composite Optimization. SIAM J. Optim. 18(2): 613-642 (2007)
[j11]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): 643-665 (2007)- 2006
[j10]Jin-hua Wang, Chong Li:
Uniqueness of the singular points of vector fields on Riemannian manifolds under the gamma-condition. J. Complex. 22(4): 533-548 (2006)- 2005
[j9]Chong Li:
Strong uniqueness of the restricted Chebyshev center with respect to an RS-set in a Banach space. J. Approx. Theory 135(1): 35-53 (2005)
[j8]Chong Li, Kung Fu Ng:
On best restricted range approximation in continuous complex-valued function spaces. J. Approx. Theory 136(2): 159-181 (2005)
[j7]Chong Li, Kung Fu Ng:
On Constraint Qualification for an Infinite System of Convex Inequalities in a Banach Space. SIAM J. Optim. 15(2): 488-512 (2005)
[j6]Chong Li, Kung Fu Ng:
Strong CHIP for Infinite System of Closed Convex Sets in Normed Linear Spaces. SIAM J. Optim. 16(2): 311-340 (2005)- 2003
[j5]Chong Li:
On best uniform restricted range approximation in complex-valued continuous function spaces. J. Approx. Theory 120(1): 71-84 (2003)
[j4]Chong Li, Hong-Kun Xu:
Porosity of mutually nearest and mutually furthest points in Banach spaces. J. Approx. Theory 125(1): 10-25 (2003)
[j3]Chong Li, Kung Fu Ng:
Constraint Qualification, the Strong CHIP, and Best Approximation with Convex Constraints in Banach Spaces. SIAM J. Optim. 14(2): 584-607 (2003)- 2002
[j2]Chong Li, Xiao-Qing Jin:
Nonlinearly Constrained Best Approximation in Hilbert Spaces: The Strong CHIP and the Basic Constraint Qualification. SIAM J. Optim. 13(1): 228-239 (2002)
[j1]Chong Li, Kung Fu Ng:
On Best Approximation by Nonconvex Sets and Perturbation of Nonconvex Inequality Systems in Hilbert Spaces. SIAM J. Optim. 13(3): 726-744 (2002)
Coauthor Index

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last updated on 2025-11-06 00:27 CET by the dblp team
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