Naihua Xiu - RankMe

80 papers B 1Misc 1Journal 78

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Local Duality for Sparse Support Vector Machines. CoRR Penghe Zhang, Naihua Xiu, Houduo Qi
2025	J	`jnl`	A 0/1 Constrained Optimization Solving Sample Average Approximation for Chance Constrained Programming. Math. Oper. Res. Shenglong Zhou, Lili Pan, Naihua Xiu, Geoffrey Ye Li
2025	J	`jnl`	A step function based recursion method for 0/1 deep neural networks. Appl. Math. Comput. Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu, Yiju Wang
2025	J	`jnl`	Sparse SVM with Hard-Margin Loss: a Newton-Augmented Lagrangian Method in Reduced Dimensions. J. Mach. Learn. Res. Penghe Zhang, Naihua Xiu, Hou-Duo Qi
2025	J	`jnl`	Step Function based Light Newton-Like Method for AUC. J. Sci. Comput. Hui Zhang, Zijian Yu, Naihua Xiu, Yiju Wang
2024	J	`jnl`	Optimality Conditions and Gradient Descent Newton Pursuit for 0/1-Loss and Sparsity Constrained Optimization. Asia Pac. J. Oper. Res. Dongrui Wang, Hui Zhang, Penghe Zhang, Naihua Xiu
2024	J	`jnl`	Zero-One Composite Optimization: Lyapunov Exact Penalty and a Globally Convergent Inexact Augmented Lagrangian Method. Math. Oper. Res. Penghe Zhang, Naihua Xiu, Ziyan Luo
2023	J	`jnl`	Recursion Newton-Like Algorithm for l IEEE Trans. Neural Networks Learn. Syst. Hui Zhang, Zhengpeng Yuan, Naihua Xiu
2023	J	`jnl`	Solution sets of three sparse optimization problems for multivariate regression. J. Glob. Optim. Xiaojun Chen, Lili Pan, Naihua Xiu
2023	J	`jnl`	Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Ling-Wei Huang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng
2022	J	`jnl`	0/1 Deep Neural Networks via Block Coordinate Descent. CoRR Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu
2022	J	`jnl`	A Lagrange-Newton algorithm for sparse nonlinear programming. Math. Program. Chen Zhao, Naihua Xiu, Houduo Qi, Ziyan Luo
2022	J	`jnl`	A penalized method of alternating projections for weighted low-rank hankel matrix optimization. Math. Program. Comput. Jian Shen, Jein-Shan Chen, Hou-Duo Qi, Naihua Xiu
2022	J	`jnl`	Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization. IEEE Trans. Signal Process. Shenglong Zhou, Ziyan Luo, Naihua Xiu, Geoffrey Ye Li
2022	J	`jnl`	Multinomial logistic regression classifier via lq, 0-proximal Newton algorithm. Neurocomputing Penghe Zhang, Rui Wang, Naihua Xiu
2022	J	`jnl`	Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing. CoRR Hui Zhang, Xin Liu, Naihua Xiu
2022	J	`jnl`	Proximal operator and optimality conditions for ramp loss SVM. Optim. Lett. Huajun Wang, Yuan-Hai Shao, Naihua Xiu
2022	J	`jnl`	Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
2021	J	`jnl`	An extended Newton-type algorithm for ℓ2-regularized sparse logistic regression and its efficiency for classifying large-scale datasets. J. Comput. Appl. Math. Rui Wang, Naihua Xiu, Shenglong Zhou
2021	J	`jnl`	Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. J. Mach. Learn. Res. Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
2021	J	`jnl`	Newton method for ℓ Numer. Algorithms Shenglong Zhou, Lili Pan, Naihua Xiu
2021	J	`jnl`	Optimality conditions for locally Lipschitz optimization with l Optim. Lett. Hui Zhang, Lili Pan, Naihua Xiu
2021	J	`jnl`	Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. SIAM J. Optim. Shenglong Zhou, Lili Pan, Naihua Xiu, Hou-Duo Qi
2021	J	`jnl`	Subspace quadratic regularization method for group sparse multinomial logistic regression. Comput. Optim. Appl. Rui Wang, Naihua Xiu, Kim-Chuan Toh
2020	J	`jnl`	Greedy Projected Gradient-Newton Method for Sparse Logistic Regression. IEEE Trans. Neural Networks Learn. Syst. Rui Wang, Naihua Xiu, Chao Zhang
2020	J	`jnl`	Matrix Optimization Over Low-Rank Spectral Sets: Stationary Points and Local and Global Minimizers. J. Optim. Theory Appl. Xinrong Li, Naihua Xiu, Shenglong Zhou
2020	J	`jnl`	Robust Euclidean embedding via EDM optimization. Math. Program. Comput. Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
2019	J	`jnl`	High-Dimensional Least-Squares with Perfect Positive Correlation. Asia Pac. J. Oper. Res. Zhiyong Huang, Ziyan Luo, Naihua Xiu
2019	J	`jnl`	Preface. Asia Pac. J. Oper. Res. Houduo Qi, Yiju Wang, Naihua Xiu
2019	J	`jnl`	Single Versus Union: Non-parallel Support Vector Machine Frameworks. CoRR Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng
2019	J	`jnl`	Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method. J. Mach. Learn. Res. Ziyan Luo, Defeng Sun, Kim-Chuan Toh, Naihua Xiu
2019	J	`jnl`	Support Vector Machine Classifier via L CoRR Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu
2018	J	`jnl`	A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints. IEEE Trans. Signal Process. Shenglong Zhou, Naihua Xiu, Hou-Duo Qi
2017	J	`jnl`	(S Comput. Optim. Appl. Dingtao Peng, Naihua Xiu, Jian Yu
2017	J	`jnl`	Analysis on Newton projection method for the split feasibility problem. Comput. Optim. Appl. Biao Qu, Changyu Wang, Naihua Xiu
2017	J	`jnl`	Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming. J. Optim. Theory Appl. Lili Pan, Ziyan Luo, Naihua Xiu
2017	J	`jnl`	Robust two-stage stochastic linear optimization with risk aversion. Eur. J. Oper. Res. Ai-fan Ling, Jie Sun, Naihua Xiu, Xiaoguang Yang
2017	J	`jnl`	The sparsest solutions to Z-tensor complementarity problems. Optim. Lett. Ziyan Luo, Liqun Qi, Naihua Xiu
2016	J	`jnl`	Low-order penalty equations for semidefinite linear complementarity problems. Oper. Res. Lett. Chen Zhao, Ziyan Luo, Naihua Xiu
2016	B	`conf`	The Uniqueness and Greedy Method for Quadratic Compressive Sensing. DSAA Jun Fan, Lingchen Kong, Liqun Wang, Naihua Xiu
2015	J	`jnl`	Constrained Best Euclidean Distance Embedding on a Sphere: A Matrix Optimization Approach. SIAM J. Optim. Shuanghua Bai, Hou-Duo Qi, Naihua Xiu
2015	J	`jnl`	Guest Editorial. Asia Pac. J. Oper. Res. Donglei Du, Naihua Xiu, Dachuan Xu
2015	J	`jnl`	Improved Approximation Algorithms for the Facility Location Problems with Linear/Submodular Penalties. Algorithmica Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu
2015	J	`jnl`	Special issue on "optimization and optimal control with applications" for the 9th international conference on optimization: techniques and applications (9th ICOTA), December 12-16, 2013, Taipei, Taiwan. J. Glob. Optim. Kok Lay Teo, Soon-Yi Wu, Naihua Xiu
2014	J	`jnl`	A New Active Set Method For Nonnegative Matrix Factorization. SIAM J. Sci. Comput. Chao Zhang, Liping Jing, Naihua Xiu
2014	J	`jnl`	A unified dual-fitting approximation algorithm for the facility location problems with linear/submodular penalties. J. Comb. Optim. Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu
2014	J	`jnl`	Global solutions of non-Lipschitz $$S_{2}$$ S 2 - $$S_{p}$$ S p minimization over the positive semidefinite cone. Optim. Lett. Yongqiang Chen, Naihua Xiu, Dingtao Peng
2014	J	`jnl`	Minimal Zero Norm Solutions of Linear Complementarity Problems. J. Optim. Theory Appl. Meijuan Shang, Chao Zhang, Naihua Xiu
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`	A Lagrangian Dual Approach to the Single-Source Localization Problem. IEEE Trans. Signal Process. Houduo Qi, Naihua Xiu, Xiaoming Yuan
2013	J	`jnl`	A combinatorial 2.375-approximation algorithm for the facility location problem with submodular penalties. Theor. Comput. Sci. Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu
2013	J	`jnl`	Approximation Algorithms for Integrated Distribution Network Design Problems. INFORMS J. Comput. Yu Li, Jia Shu, Xi Wang, Naihua Xiu, Dachuan Xu, Jiawei Zhang
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`	Generic uniqueness theorems with some applications. J. Glob. Optim. Dingtao Peng, Jian Yu, Naihua Xiu
2013	Misc	`conf`	Improved Approximation Algorithms for the Facility Location Problems with Linear/submodular Penalty. COCOON Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu
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`	Existence and Uniqueness of Solutions for Homogeneous Cone Complementarity Problems. J. Optim. Theory Appl. Lingchen Kong, Levent Tunçel, Naihua Xiu
2012	J	`jnl`	Improved approximation algorithms for the robust fault-tolerant facility location problem. Inf. Process. Lett. Yu Li, Dachuan Xu, Donglei Du, 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
2012	J	`jnl`	Saddle point and exact penalty representation for generalized proximal Lagrangians. J. Glob. Optim. Jinchuan Zhou, Naihua Xiu, Changyu Wang
2011	J	`jnl`	A regularized strong duality for nonsymmetric semidefinite least squares problem. Optim. Lett. Yingnan Wang, Naihua Xiu, Ziyan Luo
2011	J	`jnl`	Block relaxation and majorization methods for the nearest correlation matrix with factor structure. Comput. Optim. Appl. Qingna Li, Houduo Qi, 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`	Strong Semismoothness of Projection onto Slices of Second-Order Cone. J. Optim. Theory Appl. Yingnan Wang, Naihua Xiu
2011	J	`jnl`	Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery CoRR Lingchen Kong, Levent Tunçel, Naihua Xiu
2010	J	`jnl`	Some projection-like methods for the generalized Nash equilibria. Comput. Optim. Appl. Jianzhong Zhang, Biao Qu, Naihua Xiu
2009	J	`jnl`	Global error bounds for the extended vertical LCP. Comput. Optim. Appl. Chao Zhang, Xiaojun Chen, Naihua Xiu
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
2003	J	`jnl`	Identification of the Optimal Active Set in a Noninterior Continuation Method for LCP. J. Glob. Optim. Naihua Xiu, Jianzhong Zhang
2003	J	`jnl`	Some new projection methods for variational inequalities. Appl. Math. Comput. Muhammad Aslam Noor, Yiju Wang, Naihua Xiu
2002	J	`jnl`	A characteristic quantity of P-matrices. Appl. Math. Lett. Naihua Xiu, Jianzhong Zhang
2002	J	`jnl`	New projection-type methods for monotone LCP with finite termination. Numerische Mathematik Jianzhong Zhang, Naihua Xiu
2000	J	`jnl`	Convergence of the Gradient Projection Method for Generalized Convex Minimization. Comput. Optim. Appl. Changyu Wang, Naihua Xiu
2000	J	`jnl`	Global Math. Program. Jianzhong Zhang, Naihua Xiu
1999	J	`jnl`	A Global Linear and Local Quadratic Noninterior Continuation Method for Nonlinear Complementarity Problems Based on Chen-Mangasarian Smoothing Functions. SIAM J. Optim. Bintong Chen, Naihua Xiu