Follow
Shenglong Zhou
Title
Cited by
Cited by
Year
Support vector machine classifier via soft-margin loss
H Wang, Y Shao, S Zhou, C Zhang, N Xiu
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (10), 7253 …, 2022
772022
Global and quadratic convergence of Newton hard-thresholding pursuit
S Zhou, N Xiu, HD Qi
Journal of Machine Learning Research 22 (12), 1-45, 2021
562021
On solutions of sparsity constrained optimization
LL Pan, NH Xiu, SL Zhou
Journal of the Operations Research Society of China 3, 421-439, 2015
462015
A convergent iterative hard thresholding for nonnegative sparsity optimization
L Pan, S Zhou, N Xiu, HD Qi
Pacific Journal of Optimization 13 (2), 325-353, 2017
45*2017
Sparse SVM for sufficient data reduction
S Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (9), 5560-5571, 2022
372022
Federated learning via inexact ADMM
S Zhou, GY Li
IEEE Transactions on Pattern Analysis and Machine Intelligence, 10, 2023
332023
An extended Newton-type algorithm for -regularized sparse logistic regression and its efficiency for classifying large-scale datasets
R Wang, N Xiu, S Zhou
Journal of Computational and Applied Mathematics 39, 1-17, 2021
29*2021
A null-space-based weighted l1 minimization approach to compressed sensing
S Zhou, N Xiu, Y Wang, L Kong, HD Qi
Information and Inference: A Journal of the IMA 5 (1), 76-102, 2016
28*2016
A fast matrix majorization-projection method for penalized stress minimization with box constraints
S Zhou, N Xiu, HD Qi
IEEE Transactions on Signal Processing 66 (16), 4331-4346, 2018
252018
Communication-efficient ADMM-based federated learning
S Zhou, GY Li
arXiv preprint arXiv:2110.15318, 2021
232021
BOLIB 2019: Bilevel Optimization LIBrary of test problems version 2
S Zhou, AB Zemkoho, A Tin
23*2019
Theoretical and numerical comparison of the Karush-Kuhn-Tucker and value function reformulations in bilevel optimization
A Zemkoho, S Zhou
Computational Optimization and Applications 78, 625–674, 2021
212021
Semismooth Newton-type method for bilevel optimization: Global convergence and extensive numerical experiments
A Fischer, AB Zemkoho, S Zhou
Optimization Methods and Software, 2021
182021
New bounds for RIC in compressed sensing
S Zhou, L Kong, N Xiu
Journal of the Operations Research Society of China 1 (2), 227-237, 2013
182013
Newton method for l0-regularized optimization
S Zhou, L Pan, N Xiu
Numerical Algorithms 88, 1541–1570, 2021
15*2021
Quadratic convergence of Smoothing Newton's method for 0/1 loss optimization
S Zhou, L Pan, N Xiu, H Qi
SIAM Journal on Optimization 31 (4), 3184–3211, 2021
142021
Sparse and low-rank covariance matrix estimation
SL Zhou, NH Xiu, ZY Luo, LC Kong
Journal of the Operations Research Society of China 3 (2), 231-250, 2015
132015
Robust Euclidean embedding via EDM optimization
S Zhou, N Xiu, HD Qi
Mathematical Programming Computation 12, 337–387, 2020
112020
FedGiA: An Efficient Hybrid Algorithm for Federated Learning
S Zhou, GY Li
IEEE Transactions on Signal Processing 71, 1493-1508, 2023
9*2023
Computing one-bit compressive sensing via double-sparsity constrained optimization
S Zhou, Z Luo, N Xiu, G Li
IEEE Transactions on Signal Processing, 2022
92022
The system can't perform the operation now. Try again later.
Articles 1–20