Naihua Xiu

According to our database, Naihua Xiu authored at least 75 papers between 1999 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

A step function based recursion method for 0/1 deep neural networks.

Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu, Yiju Wang

Appl. Math. Comput., 2025

2023

Solution sets of three sparse optimization problems for multivariate regression.

Xiaojun Chen, Lili Pan, Naihua Xiu

J. Glob. Optim., November, 2023

Recursion Newton-Like Algorithm for l_2,0-ReLU Deep Neural Networks.

Hui Zhang, Zhengpeng Yuan, Naihua Xiu

IEEE Trans. Neural Networks Learn. Syst., September, 2023

Union nonparallel support vector machines framework with consistency.

Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Ling-Wei Huang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng

Appl. Soft Comput., March, 2023

2022

Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization.

Shenglong Zhou, Ziyan Luo, Naihua Xiu, Geoffrey Ye Li

IEEE Trans. Signal Process., 2022

Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss.

Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Proximal operator and optimality conditions for ramp loss SVM.

Huajun Wang, Yuan-Hai Shao, Naihua Xiu

Optim. Lett., 2022

A penalized method of alternating projections for weighted low-rank hankel matrix optimization.

Jian Shen, Jein-Shan Chen, Hou-Duo Qi, Naihua Xiu

Math. Program. Comput., 2022

A Lagrange-Newton algorithm for sparse nonlinear programming.

Chen Zhao, Naihua Xiu, Houduo Qi, Ziyan Luo

Math. Program., 2022

Multinomial logistic regression classifier via lq, 0-proximal Newton algorithm.

Penghe Zhang, Rui Wang, Naihua Xiu

Neurocomputing, 2022

Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing.

Hui Zhang, Xin Liu, Naihua Xiu

CoRR, 2022

0/1 Deep Neural Networks via Block Coordinate Descent.

Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu

CoRR, 2022

2021

Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization.

Shenglong Zhou, Lili Pan, Naihua Xiu, Hou-Duo Qi

SIAM J. Optim., 2021

Optimality conditions for locally Lipschitz optimization with l₀-regularization.

Hui Zhang, Lili Pan, Naihua Xiu

Optim. Lett., 2021

Newton method for ℓ₀-regularized optimization.

Shenglong Zhou, Lili Pan, Naihua Xiu

Numer. Algorithms, 2021

Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit.

Shenglong Zhou, Naihua Xiu, Hou-Duo Qi

J. Mach. Learn. Res., 2021

An extended Newton-type algorithm for ℓ2-regularized sparse logistic regression and its efficiency for classifying large-scale datasets.

Rui Wang, Naihua Xiu, Shenglong Zhou

J. Comput. Appl. Math., 2021

Subspace quadratic regularization method for group sparse multinomial logistic regression.

Rui Wang, Naihua Xiu, Kim-Chuan Toh

Comput. Optim. Appl., 2021

2020

Greedy Projected Gradient-Newton Method for Sparse Logistic Regression.

Rui Wang, Naihua Xiu, Chao Zhang

IEEE Trans. Neural Networks Learn. Syst., 2020

Robust Euclidean embedding via EDM optimization.

Shenglong Zhou, Naihua Xiu, Hou-Duo Qi

Math. Program. Comput., 2020

Matrix Optimization Over Low-Rank Spectral Sets: Stationary Points and Local and Global Minimizers.

Xinrong Li, Naihua Xiu, Shenglong Zhou

J. Optim. Theory Appl., 2020

2019

Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method.

Ziyan Luo, Defeng Sun, Kim-Chuan Toh, Naihua Xiu

J. Mach. Learn. Res., 2019

Support Vector Machine Classifier via L_0/1 Soft-Margin Loss.

Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu

CoRR, 2019

Single Versus Union: Non-parallel Support Vector Machine Frameworks.

Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng

CoRR, 2019

Preface.

Houduo Qi, Yiju Wang, Naihua Xiu

Asia Pac. J. Oper. Res., 2019

High-Dimensional Least-Squares with Perfect Positive Correlation.

Zhiyong Huang, Ziyan Luo, Naihua Xiu

Asia Pac. J. Oper. Res., 2019

2018

A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints.

Shenglong Zhou, Naihua Xiu, Hou-Duo Qi

IEEE Trans. Signal Process., 2018

2017

The sparsest solutions to Z-tensor complementarity problems.

Ziyan Luo, Liqun Qi, Naihua Xiu

Optim. Lett., 2017

Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming.

Lili Pan, Ziyan Luo, Naihua Xiu

J. Optim. Theory Appl., 2017

Robust two-stage stochastic linear optimization with risk aversion.

Ai-Fan Ling, Jie Sun, Naihua Xiu, Xiaoguang Yang

Eur. J. Oper. Res., 2017

Analysis on Newton projection method for the split feasibility problem.

Biao Qu, Changyu Wang, Naihua Xiu

Comput. Optim. Appl., 2017

(S_1/2) regularization methods and fixed point algorithms for affine rank minimization problems.

Dingtao Peng, Naihua Xiu, Jian Yu

Comput. Optim. Appl., 2017

2016

Low-order penalty equations for semidefinite linear complementarity problems.

Chen Zhao, Ziyan Luo, Naihua Xiu

Oper. Res. Lett., 2016

The Uniqueness and Greedy Method for Quadratic Compressive Sensing.

Jun Fan, Lingchen Kong, Liqun Wang, Naihua Xiu

Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015

Constrained Best Euclidean Distance Embedding on a Sphere: A Matrix Optimization Approach.

Shuanghua Bai, Hou-Duo Qi, Naihua Xiu

SIAM J. Optim., 2015

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.

Kok Lay Teo, Soon-Yi Wu, Naihua Xiu

J. Glob. Optim., 2015

Guest Editorial.

Donglei Du, Naihua Xiu, Dachuan Xu

Asia Pac. J. Oper. Res., 2015

Improved Approximation Algorithms for the Facility Location Problems with Linear/Submodular Penalties.

Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu

Algorithmica, 2015

2014

A New Active Set Method For Nonnegative Matrix Factorization.

Chao Zhang, Liping Jing, Naihua Xiu

SIAM J. Sci. Comput., 2014

Global solutions of non-Lipschitz $$S_{2}$$ S 2 - $$S_{p}$$ S p minimization over the positive semidefinite cone.

Yongqiang Chen, Naihua Xiu, Dingtao Peng

Optim. Lett., 2014

Minimal Zero Norm Solutions of Linear Complementarity Problems.

Meijuan Shang, Chao Zhang, Naihua Xiu

J. Optim. Theory Appl., 2014

The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement.

Ziyan Luo, Linxia Qin, Lingchen Kong, Naihua Xiu

J. Optim. Theory Appl., 2014

A unified dual-fitting approximation algorithm for the facility location problems with linear/submodular penalties.

Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu

J. Comb. Optim., 2014

2013

A Lagrangian Dual Approach to the Single-Source Localization Problem.

Houduo Qi, Naihua Xiu, Xiaoming Yuan

IEEE Trans. Signal Process., 2013

A combinatorial 2.375-approximation algorithm for the facility location problem with submodular penalties.

Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu

Theor. Comput. Sci., 2013

Generic uniqueness theorems with some applications.

Dingtao Peng, Jian Yu, Naihua Xiu

J. Glob. Optim., 2013

Approximation Algorithms for Integrated Distribution Network Design Problems.

Yu Li, Jia Shu, Xi Wang, Naihua Xiu, Dachuan Xu, Jiawei Zhang

INFORMS J. Comput., 2013

Exact Recovery for Sparse Signal via Weighted l_1 Minimization.

Shenglong Zhou, Naihua Xiu, Yingnan Wang, Lingchen Kong

CoRR, 2013

New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing.

Shenglong Zhou, Lingchen Kong, Ziyan Luo, Naihua Xiu

CoRR, 2013

Exact Low-Rank Matrix Recovery via Nonconvex Schatten P-Minimization.

Lingchen Kong, Naihua Xiu

Asia Pac. J. Oper. Res., 2013

Improved Approximation Algorithms for the Facility Location Problems with Linear/submodular Penalty.

Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu

Proceedings of the Computing and Combinatorics, 19th International Conference, 2013

2012

Monotonicity of Löwner operators and its applications to symmetric cone complementarity problems.

Lingchen Kong, Levent Tunçel, Naihua Xiu

Math. Program., 2012

Generic Uniqueness of Solutions for a Class of Vector Ky Fan Inequalities.

Ding-Tao Peng, Jian Yu, Nai-Hua Xiu

J. Optim. Theory Appl., 2012

Existence and Uniqueness of Solutions for Homogeneous Cone Complementarity Problems.

Lingchen Kong, Levent Tunçel, Naihua Xiu

J. Optim. Theory Appl., 2012

Saddle point and exact penalty representation for generalized proximal Lagrangians.

Jinchuan Zhou, Naihua Xiu, Changyu Wang

J. Glob. Optim., 2012

Improved approximation algorithms for the robust fault-tolerant facility location problem.

Yu Li, Dachuan Xu, Donglei Du, Naihua Xiu

Inf. Process. Lett., 2012

Linear Program Relaxation of Sparse Nonnegative Recovery in Compressive Sensing Microarrays.

Linxia Qin, Naihua Xiu, Lingchen Kong, Yu Li

Comput. Math. Methods Medicine, 2012

2011

A regularized strong duality for nonsymmetric semidefinite least squares problem.

Yingnan Wang, Naihua Xiu, Ziyan Luo

Optim. Lett., 2011

Strong Semismoothness of Projection onto Slices of Second-Order Cone.

Yingnan Wang, Naihua Xiu

J. Optim. Theory Appl., 2011

Equivalent Conditions for Jacobian Nonsingularity in Linear Symmetric Cone Programming.

Lingchen Kong, Levent Tunçel, Naihua Xiu

J. Optim. Theory Appl., 2011

Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery

Lingchen Kong, Levent Tunçel, Naihua Xiu

CoRR, 2011

Block relaxation and majorization methods for the nearest correlation matrix with factor structure.

Qingna Li, Houduo Qi, Naihua Xiu

Comput. Optim. Appl., 2011

2010

Some projection-like methods for the generalized Nash equilibria.

Jianzhong Zhang, Biao Qu, Naihua Xiu

Comput. Optim. Appl., 2010

2009

Global error bounds for the extended vertical LCP.

Chao Zhang, Xiaojun Chen, Naihua Xiu

Comput. Optim. Appl., 2009

Vector-Valued Implicit Lagrangian for Symmetric Cone complementarity Problems.

Lingchen Kong, Levent Tunçel, Naihua Xiu

Asia Pac. J. Oper. Res., 2009

2008

A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems.

Lingchen Kong, Jie Sun, Naihua Xiu

SIAM J. Optim., 2008

The solution set structure of monotone linear complementarity problems over second-order cone.

Lingchen Kong, Naihua Xiu, Jiye Han

Oper. Res. Lett., 2008

2007

New smooth C-functions for symmetric cone complementarity problems.

Lingchen Kong, Naihua Xiu

Optim. Lett., 2007

2003

Identification of the Optimal Active Set in a Noninterior Continuation Method for LCP.

Naihua Xiu, Jianzhong Zhang

J. Glob. Optim., 2003

Some new projection methods for variational inequalities.

Muhammad Aslam Noor, Yiju Wang, Naihua Xiu

Appl. Math. Comput., 2003

2002

New projection-type methods for monotone LCP with finite termination.

Jianzhong Zhang, Naihua Xiu

Numerische Mathematik, 2002

A characteristic quantity of P-matrices.

Naihua Xiu, Jianzhong Zhang

Appl. Math. Lett., 2002

2000

Global <i>s</i> -type error bound for the extended linear complementarity problem and applications.

Jianzhong Zhang, Naihua Xiu

Math. Program., 2000

Convergence of the Gradient Projection Method for Generalized Convex Minimization.

Changyu Wang, Naihua Xiu

Comput. Optim. Appl., 2000

1999

A Global Linear and Local Quadratic Noninterior Continuation Method for Nonlinear Complementarity Problems Based on Chen-Mangasarian Smoothing Functions.

Bintong Chen, Naihua Xiu

SIAM J. Optim., 1999