Shenglong Zhou

According to our database, Shenglong Zhou authored at least 25 papers between 2013 and 2024.

Collaborative distances:

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

2024

Accretionary Learning With Deep Neural Networks With Applications.

Xinyu Wei, Biing-Hwang Juang, Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

IEEE Trans. Cogn. Commun. Netw., April, 2024

2023

Federated Learning Via Inexact ADMM.

Shenglong Zhou, Geoffrey Ye Li

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

FedGiA: An Efficient Hybrid Algorithm for Federated Learning.

Shenglong Zhou, Geoffrey Ye Li

IEEE Trans. Signal Process., 2023

Gradient projection Newton algorithm for sparse collaborative learning using synthetic and real datasets of applications.

Jun Sun, Lingchen Kong, Shenglong Zhou

J. Comput. Appl. Math., 2023

New Environment Adaptation with Few Shots for OFDM Receiver and mmWave Beamforming.

Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

CoRR, 2023

Few-Shot Learning for New Environment Adaptation.

Ouya Wang, Shenglong Zhou, Geoffrey Ye Li

Proceedings of the IEEE Global Communications Conference, 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

Sparse SVM for Sufficient Data Reduction.

Shenglong Zhou

IEEE Trans. Pattern Anal. Mach. Intell., 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

Semismooth Newton-type method for bilevel optimization: global convergence and extensive numerical experiments.

Andreas Fischer, Alain B. Zemkoho, Shenglong Zhou

Optim. Methods Softw., 2022

Exact Penalty Method for Federated Learning.

Shenglong Zhou, Geoffrey Ye Li

CoRR, 2022

0/1 Deep Neural Networks via Block Coordinate Descent.

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

CoRR, 2022

2021

Newton Hard-Thresholding Pursuit for Sparse Linear Complementarity Problem via A New Merit Function.

Shenglong Zhou, Meijuan Shang, Lili Pan, Mu Li

SIAM J. Sci. Comput., 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

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

Theoretical and numerical comparison of the Karush-Kuhn-Tucker and value function reformulations in bilevel optimization.

Alain B. Zemkoho, Shenglong Zhou

Comput. Optim. Appl., 2021

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

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

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

CoRR, 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

2015

A half thresholding projection algorithm for sparse solutions of LCPs.

Meijuan Shang, Chao Zhang, Dingtao Peng, Shenglong Zhou

Optim. Lett., 2015

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