Lingchen Kong

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 27

Top Topics

Norm Regularization

Quantile Regression

Generalized Linear Models

Top Venues

J. Optim. Theory Appl.

Appl. Math. Comput.

J. Multivar. Anal.

IEEE Signal Process. Lett.

Publications

Yang Chen, Ziyan Luo, Lingchen Kong
Low-rank tensor regression for selection of grouped variables. J. Multivar. Anal. 203 (2024)
Xin Wang, Lingchen Kong, Liqun Wang
Estimation of sparse covariance matrix via non-convex regularization. J. Multivar. Anal. 202 (2024)
Jun Sun, Lingchen Kong, Biao Qu
A Greedy Newton-Type Method for Multiple Sparse Constraint Problem. J. Optim. Theory Appl. 196 (3) (2023)
Huangyue Chen, Lingchen Kong, Wentao Qu, Xianchao Xiu
An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection. IEEE Signal Process. Lett. 30 (2023)
Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong
A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. Stat. Anal. Data Min. 16 (5) (2023)
Jun Sun, Lingchen Kong, Shenglong Zhou
Gradient projection Newton algorithm for sparse collaborative learning using synthetic and real datasets of applications. J. Comput. Appl. Math. 422 (2023)
Mei Li, Lingchen Kong, Bo Pan, Linglong Kong
Algorithmic generalization ability of PALM for double sparse regularized regression. Appl. Intell. 53 (24) (2023)
Jun Sun, Lingchen Kong, Mei Li
Fast Algorithms for LS and LAD-Collaborative Regression. Asia Pac. J. Oper. Res. 39 (6) (2022)
Pan Shang, Lingchen Kong, Dashuai Liu
A Safe Feature Screening Rule for Rank Lasso. IEEE Signal Process. Lett. 29 (2022)
Pan Shang, Lingchen Kong
$\ell _{1}$ℓ1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Huangyue Chen, Lingchen Kong, Yan Li
Nonconvex clustering via ℓ0 fusion penalized regression. Pattern Recognit. 128 (2022)
Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu
Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis. IEEE Trans. Circuits Syst. II Express Briefs 68 (1) (2021)
Pan Shang, Lingchen Kong
Regularization Parameter Selection for the Low Rank Matrix Recovery. J. Optim. Theory Appl. 189 (3) (2021)
Yang Chen, Ziyan Luo, Lingchen Kong
ℓ2, 0-norm based selection and estimation for multivariate generalized linear models. J. Multivar. Anal. 185 (2021)
Hongxin Zhao, Lingchen Kong, Hou-Duo Qi
-norm regularization. Comput. Optim. Appl. 80 (3) (2021)
Huangyue Chen, Lingchen Kong, Pan Shang, Shanshan Pan
Safe feature screening rules for the regularized Huber regression. Appl. Math. Comput. 386 (2020)
Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu
tSSNALM: A fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA. Appl. Math. Comput. 383 (2020)
Lingchen Kong, Chuanqi Qi, Hou-Duo Qi
Classical Multidimensional Scaling: A Subspace Perspective, Over-Denoising, and Outlier Detection. IEEE Trans. Signal Process. 67 (14) (2019)
Huifang Wang, Lingchen Kong, Jiyuan Tao
The linearized alternating direction method of multipliers for sparse group LAD model. Optim. Lett. 13 (3) (2019)
Xianchao Xiu, Wanquan Liu, Ling Li, Lingchen Kong
Alternating direction method of multipliers for nonconvex fused regression problems. Comput. Stat. Data Anal. 136 (2019)
Meijuan Shang, Yanan Liu, Lingchen Kong, Xianchao Xiu, Ying Yang
Nonconvex mixed matrix minimization. Math. Found. Comput. 2 (2) (2019)
Mei Li, Lingchen Kong
Double fused Lasso penalized LAD for matrix regression. Appl. Math. Comput. 357 (2019)
Yuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou
ADMM for High-Dimensional Sparse Penalized Quantile Regression. Technometrics 60 (3) (2018)
Xianchao Xiu, Lingchen Kong, Yan Li, Houduo Qi
Iterative reweighted methods for \(\ell _1-\ell _p\) minimization. Comput. Optim. Appl. 70 (1) (2018)
G. Q. Wang, Lingchen Kong, Jiyuan Tao, Goran Lesaja
Erratum to: Improved Complexity Analysis of Full Nesterov-Todd Step Feasible Interior-Point Method for Symmetric Optimization. J. Optim. Theory Appl. 174 (2) (2017)
Guo-Qiang Wang, Jiyuan Tao, Lingchen Kong
A note on an inequality involving Jordan product in Euclidean Jordan algebras. Optim. Lett. 10 (4) (2016)
Jun Fan, Lingchen Kong, Liqun Wang, Naihua Xiu
The Uniqueness and Greedy Method for Quadratic Compressive Sensing. DSAA (2016)
Guo-Qiang Wang, Lingchen Kong, Jiyuan Tao, Goran Lesaja
Improved Complexity Analysis of Full Nesterov-Todd Step Feasible Interior-Point Method for Symmetric Optimization. J. Optim. Theory Appl. 166 (2) (2015)
Ziyan Luo, Linxia Qin, Lingchen Kong, Naihua Xiu
The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement. J. Optim. Theory Appl. 160 (3) (2014)
Lingchen Kong, Naihua Xiu
Exact Low-Rank Matrix Recovery via Nonconvex Schatten P-Minimization. Asia Pac. J. Oper. Res. 30 (3) (2013)
Shenglong Zhou, Lingchen Kong, Ziyan Luo, Naihua Xiu
New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing. CoRR (2013)
Shenglong Zhou, Naihua Xiu, Yingnan Wang, Lingchen Kong
Exact Recovery for Sparse Signal via Weighted l_1 Minimization. CoRR (2013)
Linxia Qin, Naihua Xiu, Lingchen Kong, Yu Li
Linear Program Relaxation of Sparse Nonnegative Recovery in Compressive Sensing Microarrays. Comput. Math. Methods Medicine 2012 (2012)
Lingchen Kong, Levent Tunçel, Naihua Xiu
Existence and Uniqueness of Solutions for Homogeneous Cone Complementarity Problems. J. Optim. Theory Appl. 153 (2) (2012)
Lingchen Kong, Levent Tunçel, Naihua Xiu
Monotonicity of Löwner operators and its applications to symmetric cone complementarity problems. Math. Program. 133 (1-2) (2012)
Lingchen Kong, Qingmin Meng
A semismooth Newton method for nonlinear symmetric cone programming. Math. Methods Oper. Res. 76 (2) (2012)
Lingchen Kong, Levent Tunçel, Naihua Xiu
Equivalent Conditions for Jacobian Nonsingularity in Linear Symmetric Cone Programming. J. Optim. Theory Appl. 148 (2) (2011)
Lingchen Kong, Levent Tunçel, Naihua Xiu
Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery CoRR (2011)
Linxia Qin, Lingchen Kong, Jiye Han
Sufficiency of linear transformations on Euclidean Jordan algebras. Optim. Lett. 3 (2) (2009)
Lingchen Kong, Levent Tunçel, Naihua Xiu
Vector-Valued Implicit Lagrangian for Symmetric Cone complementarity Problems. Asia Pac. J. Oper. Res. 26 (2) (2009)
Lingchen Kong, Naihua Xiu, Jiye Han
The solution set structure of monotone linear complementarity problems over second-order cone. Oper. Res. Lett. 36 (1) (2008)
Lingchen Kong, Jie Sun, Naihua Xiu
A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems. SIAM J. Optim. 19 (3) (2008)
Lingchen Kong, Naihua Xiu
New smooth C-functions for symmetric cone complementarity problems. Optim. Lett. 1 (4) (2007)