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Journal Articles
- 2023
[j65]Chun-Na Li
, Yuan-Hai Shao, Huajun Wang, Ling-Wei Huang, Yu-Ting Zhao, Naihua Xiu, Nai-Yang Deng:
Union nonparallel support vector machines framework with consistency. Appl. Soft Comput. 136: 110129 (2023)- [j64]Xiaojun Chen, Lili Pan, Naihua Xiu:
Solution sets of three sparse optimization problems for multivariate regression. J. Glob. Optim. 87(2): 347-371 (2023) - [j63]Hui Zhang, Zhengpeng Yuan, Naihua Xiu:
Recursion Newton-Like Algorithm for l2,0-ReLU Deep Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5882-5896 (2023) - 2022
- [j62]Penghe Zhang, Rui Wang, Naihua Xiu:
Multinomial logistic regression classifier via lq, 0-proximal Newton algorithm. Neurocomputing 468: 148-164 (2022) - [j61]Chen Zhao, Naihua Xiu, Houduo Qi, Ziyan Luo:
A Lagrange-Newton algorithm for sparse nonlinear programming. Math. Program. 195(1): 903-928 (2022) - [j60]Jian Shen, Jein-Shan Chen, Hou-Duo Qi, Naihua Xiu:
A penalized method of alternating projections for weighted low-rank hankel matrix optimization. Math. Program. Comput. 14(3): 417-450 (2022) - [j59]Huajun Wang, Yuan-Hai Shao, Naihua Xiu:
Proximal operator and optimality conditions for ramp loss SVM. Optim. Lett. 16(3): 999-1014 (2022) - [j58]Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu:
Support Vector Machine Classifier via $L_{0/1}$L0/1 Soft-Margin Loss. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 7253-7265 (2022) - [j57]Shenglong Zhou, Ziyan Luo, Naihua Xiu, Geoffrey Ye Li:
Computing One-Bit Compressive Sensing via Double-Sparsity Constrained Optimization. IEEE Trans. Signal Process. 70: 1593-1608 (2022) - 2021
- [j56]Rui Wang, Naihua Xiu, Kim-Chuan Toh:
Subspace quadratic regularization method for group sparse multinomial logistic regression. Comput. Optim. Appl. 79(3): 531-559 (2021) - [j55]Rui Wang, Naihua Xiu, Shenglong Zhou:
An extended Newton-type algorithm for ℓ2-regularized sparse logistic regression and its efficiency for classifying large-scale datasets. J. Comput. Appl. Math. 397: 113656 (2021) - [j54]Shenglong Zhou, Naihua Xiu, Hou-Duo Qi:
Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit. J. Mach. Learn. Res. 22: 12:1-12:45 (2021) - [j53]Shenglong Zhou, Lili Pan, Naihua Xiu:
Newton method for ℓ0-regularized optimization. Numer. Algorithms 88(4): 1541-1570 (2021) - [j52]Hui Zhang, Lili Pan, Naihua Xiu:
Optimality conditions for locally Lipschitz optimization with l0-regularization. Optim. Lett. 15(1): 189-203 (2021) - [j51]Shenglong Zhou, Lili Pan, Naihua Xiu, Hou-Duo Qi:
Quadratic Convergence of Smoothing Newton's Method for 0/1 Loss Optimization. SIAM J. Optim. 31(4): 3184-3211 (2021) - 2020
- [j50]Xinrong Li, Naihua Xiu, Shenglong Zhou:
Matrix Optimization Over Low-Rank Spectral Sets: Stationary Points and Local and Global Minimizers. J. Optim. Theory Appl. 184(3): 895-930 (2020) - [j49]Shenglong Zhou, Naihua Xiu, Hou-Duo Qi:
Robust Euclidean embedding via EDM optimization. Math. Program. Comput. 12(3): 337-387 (2020) - [j48]Rui Wang, Naihua Xiu, Chao Zhang:
Greedy Projected Gradient-Newton Method for Sparse Logistic Regression. IEEE Trans. Neural Networks Learn. Syst. 31(2): 527-538 (2020) - 2019
- [j47]Houduo Qi, Yiju Wang, Naihua Xiu:
Preface. Asia Pac. J. Oper. Res. 36(2): 1902001:1-1902001:2 (2019) - [j46]Zhiyong Huang, Ziyan Luo, Naihua Xiu:
High-Dimensional Least-Squares with Perfect Positive Correlation. Asia Pac. J. Oper. Res. 36(4): 1950016:1-1950016:16 (2019) - [j45]Ziyan Luo, Defeng Sun, Kim-Chuan Toh, Naihua Xiu:
Solving the OSCAR and SLOPE Models Using a Semismooth Newton-Based Augmented Lagrangian Method. J. Mach. Learn. Res. 20: 106:1-106:25 (2019) - 2018
- [j44]Shenglong Zhou, Naihua Xiu, Hou-Duo Qi:
A Fast Matrix Majorization-Projection Method for Penalized Stress Minimization With Box Constraints. IEEE Trans. Signal Process. 66(16): 4331-4346 (2018) - 2017
- [j43]Biao Qu, Changyu Wang, Naihua Xiu:
Analysis on Newton projection method for the split feasibility problem. Comput. Optim. Appl. 67(1): 175-199 (2017) - [j42]Dingtao Peng, Naihua Xiu, Jian Yu:
(S1/2) regularization methods and fixed point algorithms for affine rank minimization problems. Comput. Optim. Appl. 67(3): 543-569 (2017) - [j41]Ai-Fan Ling, Jie Sun, Naihua Xiu, Xiaoguang Yang:
Robust two-stage stochastic linear optimization with risk aversion. Eur. J. Oper. Res. 256(1): 215-229 (2017) - [j40]Lili Pan, Ziyan Luo, Naihua Xiu:
Restricted Robinson Constraint Qualification and Optimality for Cardinality-Constrained Cone Programming. J. Optim. Theory Appl. 175(1): 104-118 (2017) - [j39]Ziyan Luo, Liqun Qi, Naihua Xiu:
The sparsest solutions to Z-tensor complementarity problems. Optim. Lett. 11(3): 471-482 (2017) - 2016
- [j38]Chen Zhao, Ziyan Luo, Naihua Xiu:
Low-order penalty equations for semidefinite linear complementarity problems. Oper. Res. Lett. 44(3): 342-347 (2016) - 2015
- [j37]Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu:
Improved Approximation Algorithms for the Facility Location Problems with Linear/Submodular Penalties. Algorithmica 73(2): 460-482 (2015) - [j36]Donglei Du, Naihua Xiu, Dachuan Xu:
Guest Editorial. Asia Pac. J. Oper. Res. 32(1): 1502001:1-1502001:2 (2015) - [j35]Kok Lay Teo, Soon-Yi Wu, Naihua Xiu:
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. 62(4): 615 (2015) - [j34]Shuanghua Bai, Hou-Duo Qi, Naihua Xiu:
Constrained Best Euclidean Distance Embedding on a Sphere: A Matrix Optimization Approach. SIAM J. Optim. 25(1): 439-467 (2015) - 2014
- [j33]Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu:
A unified dual-fitting approximation algorithm for the facility location problems with linear/submodular penalties. J. Comb. Optim. 27(3): 609-620 (2014) - [j32]Ziyan Luo, Linxia Qin, Lingchen Kong, Naihua Xiu:
The Nonnegative Zero-Norm Minimization Under Generalized Z-Matrix Measurement. J. Optim. Theory Appl. 160(3): 854-864 (2014) - [j31]Meijuan Shang, Chao Zhang, Naihua Xiu:
Minimal Zero Norm Solutions of Linear Complementarity Problems. J. Optim. Theory Appl. 163(3): 795-814 (2014) - [j30]Yongqiang Chen, Naihua Xiu, Dingtao Peng:
Global solutions of non-Lipschitz $$S_{2}$$ S 2 - $$S_{p}$$ S p minimization over the positive semidefinite cone. Optim. Lett. 8(7): 2053-2064 (2014) - [j29]Chao Zhang, Liping Jing, Naihua Xiu:
A New Active Set Method For Nonnegative Matrix Factorization. SIAM J. Sci. Comput. 36(6) (2014) - 2013
- [j28]Lingchen Kong, Naihua Xiu:
Exact Low-Rank Matrix Recovery via Nonconvex Schatten P-Minimization. Asia Pac. J. Oper. Res. 30(3) (2013) - [j27]Yu Li, Jia Shu, Xi Wang, Naihua Xiu, Dachuan Xu, Jiawei Zhang:
Approximation Algorithms for Integrated Distribution Network Design Problems. INFORMS J. Comput. 25(3): 572-584 (2013) - [j26]Dingtao Peng, Jian Yu, Naihua Xiu:
Generic uniqueness theorems with some applications. J. Glob. Optim. 56(2): 713-725 (2013) - [j25]Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu:
A combinatorial 2.375-approximation algorithm for the facility location problem with submodular penalties. Theor. Comput. Sci. 476: 109-117 (2013) - [j24]Houduo Qi, Naihua Xiu, Xiaoming Yuan:
A Lagrangian Dual Approach to the Single-Source Localization Problem. IEEE Trans. Signal Process. 61(15): 3815-3826 (2013) - 2012
- [j23]Linxia Qin, Naihua Xiu, Lingchen Kong, Yu Li:
Linear Program Relaxation of Sparse Nonnegative Recovery in Compressive Sensing Microarrays. Comput. Math. Methods Medicine 2012: 646045:1-646045:8 (2012) - [j22]Yu Li, Dachuan Xu, Donglei Du, Naihua Xiu:
Improved approximation algorithms for the robust fault-tolerant facility location problem. Inf. Process. Lett. 112(10): 361-364 (2012) - [j21]Jinchuan Zhou, Naihua Xiu, Changyu Wang:
Saddle point and exact penalty representation for generalized proximal Lagrangians. J. Glob. Optim. 54(4): 669-687 (2012) - [j20]Lingchen Kong, Levent Tunçel, Naihua Xiu:
Existence and Uniqueness of Solutions for Homogeneous Cone Complementarity Problems. J. Optim. Theory Appl. 153(2): 357-376 (2012) - [j19]Ding-Tao Peng, Jian Yu, Nai-Hua Xiu:
Generic Uniqueness of Solutions for a Class of Vector Ky Fan Inequalities. J. Optim. Theory Appl. 155(1): 165-179 (2012) - [j18]Lingchen Kong, Levent Tunçel, Naihua Xiu:
Monotonicity of Löwner operators and its applications to symmetric cone complementarity problems. Math. Program. 133(1-2): 327-336 (2012) - 2011
- [j17]Qingna Li, Houduo Qi, Naihua Xiu:
Block relaxation and majorization methods for the nearest correlation matrix with factor structure. Comput. Optim. Appl. 50(2): 327-349 (2011) - [j16]Lingchen Kong, Levent Tunçel, Naihua Xiu:
Equivalent Conditions for Jacobian Nonsingularity in Linear Symmetric Cone Programming. J. Optim. Theory Appl. 148(2): 364-389 (2011) - [j15]Yingnan Wang, Naihua Xiu:
Strong Semismoothness of Projection onto Slices of Second-Order Cone. J. Optim. Theory Appl. 150(3): 599-614 (2011) - [j14]Yingnan Wang, Naihua Xiu, Ziyan Luo:
A regularized strong duality for nonsymmetric semidefinite least squares problem. Optim. Lett. 5(4): 665-682 (2011) - 2010
- [j13]Jianzhong Zhang, Biao Qu, Naihua Xiu:
Some projection-like methods for the generalized Nash equilibria. Comput. Optim. Appl. 45(1): 89-109 (2010) - 2009
- [j12]Lingchen Kong, Levent Tunçel, Naihua Xiu:
Vector-Valued Implicit Lagrangian for Symmetric Cone complementarity Problems. Asia Pac. J. Oper. Res. 26(2): 199-233 (2009) - [j11]Chao Zhang, Xiaojun Chen, Naihua Xiu:
Global error bounds for the extended vertical LCP. Comput. Optim. Appl. 42(3): 335-352 (2009) - 2008
- [j10]Lingchen Kong, Naihua Xiu, Jiye Han:
The solution set structure of monotone linear complementarity problems over second-order cone. Oper. Res. Lett. 36(1): 71-76 (2008) - [j9]Lingchen Kong, Jie Sun, Naihua Xiu:
A Regularized Smoothing Newton Method for Symmetric Cone Complementarity Problems. SIAM J. Optim. 19(3): 1028-1047 (2008) - 2007
- [j8]Lingchen Kong, Naihua Xiu:
New smooth C-functions for symmetric cone complementarity problems. Optim. Lett. 1(4): 391-400 (2007) - 2003
- [j7]Muhammad Aslam Noor, Yiju Wang, Naihua Xiu:
Some new projection methods for variational inequalities. Appl. Math. Comput. 137(2-3): 423-435 (2003) - [j6]Naihua Xiu, Jianzhong Zhang:
Identification of the Optimal Active Set in a Noninterior Continuation Method for LCP. J. Glob. Optim. 26(2): 183-198 (2003) - 2002
- [j5]Naihua Xiu, Jianzhong Zhang:
A characteristic quantity of P-matrices. Appl. Math. Lett. 15(1): 41-46 (2002) - [j4]Jianzhong Zhang, Naihua Xiu:
New projection-type methods for monotone LCP with finite termination. Numerische Mathematik 92(1): 179-195 (2002) - 2000
- [j3]Changyu Wang, Naihua Xiu:
Convergence of the Gradient Projection Method for Generalized Convex Minimization. Comput. Optim. Appl. 16(2): 111-120 (2000) - [j2]Jianzhong Zhang, Naihua Xiu:
Global s -type error bound for the extended linear complementarity problem and applications. Math. Program. 88(2): 391-410 (2000) - 1999
- [j1]Bintong Chen, Naihua Xiu:
A Global Linear and Local Quadratic Noninterior Continuation Method for Nonlinear Complementarity Problems Based on Chen-Mangasarian Smoothing Functions. SIAM J. Optim. 9(3): 605-623 (1999)
Conference and Workshop Papers
- 2016
- [c2]Jun Fan, Lingchen Kong, Liqun Wang, Naihua Xiu:
The Uniqueness and Greedy Method for Quadratic Compressive Sensing. DSAA 2016: 808-815 - 2013
- [c1]Yu Li, Donglei Du, Naihua Xiu, Dachuan Xu:
Improved Approximation Algorithms for the Facility Location Problems with Linear/submodular Penalty. COCOON 2013: 292-303
Informal and Other Publications
- 2022
- [i7]Hui Zhang, Shenglong Zhou, Geoffrey Ye Li, Naihua Xiu:
0/1 Deep Neural Networks via Block Coordinate Descent. CoRR abs/2206.09379 (2022) - [i6]Hui Zhang, Xin Liu, Naihua Xiu:
Optimality Analysis and Block Sparse Algorithm for Complex Compressed Sensing. CoRR abs/2208.14666 (2022) - 2019
- [i5]Chun-Na Li, Yuan-Hai Shao, Huajun Wang, Yu-Ting Zhao, Ling-Wei Huang, Naihua Xiu, Nai-Yang Deng:
Single Versus Union: Non-parallel Support Vector Machine Frameworks. CoRR abs/1910.09734 (2019) - [i4]Huajun Wang, Yuan-Hai Shao, Shenglong Zhou, Ce Zhang, Naihua Xiu:
Support Vector Machine Classifier via L0/1 Soft-Margin Loss. CoRR abs/1912.07418 (2019) - 2013
- [i3]Shenglong Zhou, Lingchen Kong, Ziyan Luo, Naihua Xiu:
New RIC Bounds via l_q-minimization with 0<q<=1 in Compressed Sensing. CoRR abs/1308.0455 (2013) - [i2]Shenglong Zhou, Naihua Xiu, Yingnan Wang, Lingchen Kong:
Exact Recovery for Sparse Signal via Weighted l_1 Minimization. CoRR abs/1312.2358 (2013) - 2011
- [i1]Lingchen Kong, Levent Tunçel, Naihua Xiu:
Sufficient Conditions for Low-rank Matrix Recovery, Translated from Sparse Signal Recovery. CoRR abs/1106.3276 (2011)
Coauthor Index
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