周声龙
博士、教授
博士、教授
办公电话: | 电子邮件: shlzhou@bjtu.edu.cn |
通讯地址:北京市海淀区北下关北京交通大学科技大厦10B11 | 邮编:100044 |
部分发表文章 (全部发表文章可参考 Publications 或者 Google Scholar):
[12] SL
Zhou and GY Li, Federated learning via inexact ADMM,
IEEE
Transactions on Pattern Analysis and Machine Intelligence,
45,9699-9708, 2023. RG, ArXiv, Code
[11] SL Zhou and GY Li, FedGiA: An
efficient hybrid algorithm for federated learning,
IEEE
Transactions on Signal Processing, 71, 1493–1508, 2023. RG, ArXiv, Code
[10] SL
Zhou, Sparse SVM for sufficient data reduction,
IEEE
Transactions on Pattern Analysis and Machine Intelligence, 44,
5560–5571, 2022. RG, ArXiv, Code
[9]
SL Zhou, Gradient projection newton pursuit for sparsity constrained
optimization,
Applied and
Computational Harmonic Analysis, 61, 75–100, 2022. RG, ArXiv, Code
[8]
SL Zhou, ZY Luo, NH Xiu, and GY Li, Computing one-bit compressive sensing
via double-sparsity constrained optimization,
IEEE
Transactions on Signal Processing, 70, 1593–1608, 2022. RG, ArXiv, Code
[7]
SL Zhou, LL Pan, NH Xiu, and HD Qi, Quadratic convergence of smoothing
Newton's method for 0/1 loss optimization,
SIAM Journal
on Optimization, 31, 3184–3211, 2021. RG, ArXiv, Code
[6]
SL Zhou, LL Pan, M Li, and MJ Shang, Newton hard-thresholding pursuit for
sparse LCP via a new merit function,
SIAM Journal
on Scientific Computing, 43, A772–A799, 2021. RG, ArXiv, Code
[5]
SL Zhou, NH Xiu, and HD Qi, Global and quadratic convergence of Newton
hard-thresholding pursuit,
Journal of
Machine Learning Research, 22, 1−45, 2021. RG, ArXiv, Code
[4] SL Zhou, LL Pan, and NH Xiu, Newton method for L0-regularized,
Numerical
Algorithms, 88, 1541–1570,2021. RG, ArXiv, Code
[3]
SL Zhou, NH Xiu, and HD Qi, Robust Euclidean embedding via EDM
optimization,
Mathematical Programming Computation, 12, 337–387,
2019. Code
[2]
SL Zhou, NH Xiu, and HD Qi, A fast matrix majorization-projection method
for penalized stress minimization with box constraints,
IEEE
Transactions on Signal Processing, 66, 4331–4346, 2018. Code
[1] SL Zhou, NH Xiu, YN Wang, LC Kong, and HD
Qi, A Null-space-based weighted l1 minimization approach to compressed sensing,
Information
and Inference: A Journal of the IMA , 5, 76–102, 2016. RG, Code