Lingchen Kong - RankMe

54 papers A* 1B 1Journal 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive ℓ q regularized estimation for high-dimensional sparse covariance matrix. J. Multivar. Anal. Xin Wang, Hongxin Zhao, Zhenwei Zhou, Lingchen Kong, Liqun Wang
2026	J	`jnl`	Decentralized Federated Learning by Partial Message Exchange. CoRR Shan Sha, Shenglong Zhou, Xin Wang, Lingchen Kong, Geoffrey Ye Li
2026	J	`jnl`	Fast online ℓ0 elastic net subspace clustering via a novel dictionary update strategy. Pattern Recognit. Wentao Qu, Lingchen Kong, Linglong Kong, Bei Jiang
2026	J	`jnl`	Safe Feature Identification Rule for Fused Lasso by An Extra Dual Variable. Stat. Comput. Pan Shang, Huangyue Chen, Lingchen Kong
2025	J	`jnl`	An efficient Lagrange-Newton algorithm for long-only cardinality constrained portfolio selection on real data sets. J. Comput. Appl. Math. Yingxiao Wang, Lingchen Kong, Houduo Qi
2025	J	`jnl`	Do intelligent tutoring systems benefit K-12 students? A meta-analysis and evaluation of heterogeneity of treatment effects in the U.S. CoRR Walter L. Leite, Huibin Zhang, Shibani Rana, Yide Hao, Amber D. Hatch, Lingchen Kong, Huan Kuang
2025	J	`jnl`	Evaluating User Experience in E-Learning Platforms: An NLP-Enhanced Analysis of Duolingo Reviews. Int. J. Hum. Comput. Interact. Lingchen Kong, Do Hyong Koh, Pavlo D. Antonenko
2025	J	`jnl`	Sparse Decentralized Federated Learning. IEEE Trans. Signal Process. Shan Sha, Shenglong Zhou, Lingchen Kong, Geoffrey Ye Li
2024	J	`jnl`	Estimation of sparse covariance matrix via non-convex regularization. J. Multivar. Anal. Xin Wang, Lingchen Kong, Liqun Wang
2024	J	`jnl`	Low-rank tensor regression for selection of grouped variables. J. Multivar. Anal. Yang Chen, Ziyan Luo, Lingchen Kong
2024	J	`jnl`	Robust multitask learning in high dimensions under memory constraint. Stat. Anal. Data Min. Canyi Chen, Bingzhen Chen, Lingchen Kong, Liping Zhu
2024	A*	`conf`	Sample Average Approximation for Conditional Stochastic Optimization with Dependent Data. ICML Yafei Wang, Bo Pan, Mei Li, Jianya Lu, Lingchen Kong, Bei Jiang, Linglong Kong
2023	J	`jnl`	A Greedy Newton-Type Method for Multiple Sparse Constraint Problem. J. Optim. Theory Appl. Jun Sun, Lingchen Kong, Biao Qu
2023	J	`jnl`	A new formulation of sparse multiple kernel k$$ k $$-means clustering and its applications. Stat. Anal. Data Min. Wentao Qu, Xianchao Xiu, Jun Sun, Lingchen Kong
2023	J	`jnl`	Algorithmic generalization ability of PALM for double sparse regularized regression. Appl. Intell. Mei Li, Lingchen Kong, Bo Pan, Linglong Kong
2023	J	`jnl`	An Enhanced Regularized Clustering Method With Adaptive Spurious Connection Detection. IEEE Signal Process. Lett. Huangyue Chen, Lingchen Kong, Wentao Qu, Xianchao Xiu
2023	J	`jnl`	Gradient projection Newton algorithm for sparse collaborative learning using synthetic and real datasets of applications. J. Comput. Appl. Math. Jun Sun, Lingchen Kong, Shenglong Zhou
2022	J	`jnl`	$\ell _{1}$ℓ1-Norm Quantile Regression Screening Rule via the Dual Circumscribed Sphere. IEEE Trans. Pattern Anal. Mach. Intell. Pan Shang, Lingchen Kong
2022	J	`jnl`	A Safe Feature Screening Rule for Rank Lasso. IEEE Signal Process. Lett. Pan Shang, Lingchen Kong, Dashuai Liu
2022	J	`jnl`	Fast Algorithms for LS and LAD-Collaborative Regression. Asia Pac. J. Oper. Res. Jun Sun, Lingchen Kong, Mei Li
2022	J	`jnl`	Nonconvex clustering via ℓ0 fusion penalized regression. Pattern Recognit. Huangyue Chen, Lingchen Kong, Yan Li
2021	J	`jnl`	Data-Driven Process Monitoring Using Structured Joint Sparse Canonical Correlation Analysis. IEEE Trans. Circuits Syst. II Express Briefs Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu
2021	J	`jnl`	Optimal portfolio selections via ℓ Comput. Optim. Appl. Hongxin Zhao, Lingchen Kong, Hou-Duo Qi
2021	J	`jnl`	Regularization Parameter Selection for the Low Rank Matrix Recovery. J. Optim. Theory Appl. Pan Shang, Lingchen Kong
2021	J	`jnl`	ℓ2, 0-norm based selection and estimation for multivariate generalized linear models. J. Multivar. Anal. Yang Chen, Ziyan Luo, Lingchen Kong
2020	J	`jnl`	Adaptive trajectory tracking control strategy of intelligent vehicle. Int. J. Distributed Sens. Networks Shuo Zhang, Xuan Zhao, Guohua Zhu, Peilong Shi, Yue Hao, Lingchen Kong
2020	J	`jnl`	Safe feature screening rules for the regularized Huber regression. Appl. Math. Comput. Huangyue Chen, Lingchen Kong, Pan Shang, Shanshan Pan
2020	J	`jnl`	tSSNALM: A fast two-stage semi-smooth Newton augmented Lagrangian method for sparse CCA. Appl. Math. Comput. Xianchao Xiu, Ying Yang, Lingchen Kong, Wanquan Liu
2019	J	`jnl`	Alternating direction method of multipliers for nonconvex fused regression problems. Comput. Stat. Data Anal. Xianchao Xiu, Wanquan Liu, Ling Li, Lingchen Kong
2019	J	`jnl`	Classical Multidimensional Scaling: A Subspace Perspective, Over-Denoising, and Outlier Detection. IEEE Trans. Signal Process. Lingchen Kong, Chuanqi Qi, Hou-Duo Qi
2019	J	`jnl`	Double fused Lasso penalized LAD for matrix regression. Appl. Math. Comput. Mei Li, Lingchen Kong
2019	J	`jnl`	Nonconvex mixed matrix minimization. Math. Found. Comput. Meijuan Shang, Yanan Liu, Lingchen Kong, Xianchao Xiu, Ying Yang
2019	J	`jnl`	The linearized alternating direction method of multipliers for sparse group LAD model. Optim. Lett. Huifang Wang, Lingchen Kong, Jiyuan Tao
2018	J	`jnl`	ADMM for High-Dimensional Sparse Penalized Quantile Regression. Technometrics Yuwen Gu, Jun Fan, Lingchen Kong, Shiqian Ma, Hui Zou
2018	J	`jnl`	Iterative reweighted methods for $\ell _1-\ell _p$ minimization. Comput. Optim. Appl. Xianchao Xiu, Lingchen Kong, Yan Li, Houduo Qi
2017	J	`jnl`	Erratum to: Improved Complexity Analysis of Full Nesterov-Todd Step Feasible Interior-Point Method for Symmetric Optimization. J. Optim. Theory Appl. G. Q. Wang, Lingchen Kong, Jiyuan Tao, Goran Lesaja
2016	J	`jnl`	A note on an inequality involving Jordan product in Euclidean Jordan algebras. Optim. Lett. Guo-Qiang Wang, Jiyuan Tao, Lingchen Kong
2016	B	`conf`	The Uniqueness and Greedy Method for Quadratic Compressive Sensing. DSAA Jun Fan, Lingchen Kong, Liqun Wang, Naihua Xiu
2015	J	`jnl`	Improved Complexity Analysis of Full Nesterov-Todd Step Feasible Interior-Point Method for Symmetric Optimization. J. Optim. Theory Appl. Guo-Qiang Wang, Lingchen Kong, Jiyuan Tao, Goran Lesaja
2014	J	`jnl`	The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement. J. Optim. Theory Appl. Ziyan Luo, Linxia Qin, Lingchen Kong, Naihua Xiu
2013	J	`jnl`	Exact Low-Rank Matrix Recovery via Nonconvex Schatten P-Minimization. Asia Pac. J. Oper. Res. Lingchen Kong, Naihua Xiu
2013	J	`jnl`	Exact Recovery for Sparse Signal via Weighted l_1 Minimization. CoRR Shenglong Zhou, Naihua Xiu, Yingnan Wang, Lingchen Kong
2013	J	`jnl`	New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing. CoRR Shenglong Zhou, Lingchen Kong, Ziyan Luo, Naihua Xiu
2012	J	`jnl`	A semismooth Newton method for nonlinear symmetric cone programming. Math. Methods Oper. Res. Lingchen Kong, Qingmin Meng
2012	J	`jnl`	Existence and Uniqueness of Solutions for Homogeneous Cone Complementarity Problems. J. Optim. Theory Appl. Lingchen Kong, Levent Tunçel, Naihua Xiu
2012	J	`jnl`	Linear Program Relaxation of Sparse Nonnegative Recovery in Compressive Sensing Microarrays. Comput. Math. Methods Medicine Linxia Qin, Naihua Xiu, Lingchen Kong, Yu Li
2012	J	`jnl`	Monotonicity of Löwner operators and its applications to symmetric cone complementarity problems. Math. Program. Lingchen Kong, Levent Tunçel, Naihua Xiu
2011	J	`jnl`	Equivalent Conditions for Jacobian Nonsingularity in Linear Symmetric Cone Programming. J. Optim. Theory Appl. Lingchen Kong, Levent Tunçel, Naihua Xiu
2011	J	`jnl`	Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery CoRR Lingchen Kong, Levent Tunçel, Naihua Xiu
2009	J	`jnl`	Sufficiency of linear transformations on Euclidean Jordan algebras. Optim. Lett. Linxia Qin, Lingchen Kong, JiYe Han
2009	J	`jnl`	Vector-Valued Implicit Lagrangian for Symmetric Cone complementarity Problems. Asia Pac. J. Oper. Res. Lingchen Kong, Levent Tunçel, Naihua Xiu
2008	J	`jnl`	A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems. SIAM J. Optim. Lingchen Kong, Jie Sun, Naihua Xiu
2008	J	`jnl`	The solution set structure of monotone linear complementarity problems over second-order cone. Oper. Res. Lett. Lingchen Kong, Naihua Xiu, JiYe Han
2007	J	`jnl`	New smooth C-functions for symmetric cone complementarity problems. Optim. Lett. Lingchen Kong, Naihua Xiu