jinshan zeng
jinshan zeng
School of Computer and Information Engineering, Jiangxi Normal University
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Cited by
Cited by
Global convergence of ADMM in nonconvex nonsmooth optimization
Y Wang, W Yin, J Zeng
Journal of Scientific Computing 78, 29-63, 2019
L1= 2 Regularization: Convergence of Iterative Half Thresholding Algorithm
J Zeng, S Lin, Y Wang, Z Xu
IEEE Transactions on Signal Processing, 2014
On nonconvex decentralized gradient descent
J Zeng, W Yin
IEEE Transactions on Signal Processing 66 (11), 2834-2848, 2018
Extrapush for convex smooth decentralized optimization over directed networks
J Zeng, W Yin
Journal of Computational Mathematics 35 (4), 383-396, 2017
Sparse SAR imaging based on L 1/2 regularization
JS Zeng, J Fang, ZB Xu
Science China Information Sciences 55 (8), 1755-1775, 2012
Global convergence of block coordinate descent in deep learning
J Zeng, TTK Lau, S Lin, Y Yao
International conference on machine learning, 7313-7323, 2019
Indoor fingerprinting localization and tracking system using particle swarm optimization and Kalman filter
Genming Ding, Zhenhui Tan, Jinsong Wu, Jinshan Zeng, Lingwen Zhang
IEICE Transactions on Communication 98 (3), 502-514, 2015
Sparse regularization: Convergence of iterative jumping thresholding algorithm
J Zeng, S Lin, Z Xu
IEEE Transactions on Signal Processing 64 (19), 5106-5118, 2016
Linear convergence of adaptively iterative thresholding algorithms for compressed sensing
Y Wang, J Zeng, Z Peng, X Chang, Z Xu
IEEE Transactions on Signal Processing 63 (11), 2957-2971, 2015
Accelerated L1/2 regularization based SAR imaging via BCR and reduced Newton skills
J Zeng, Z Xu, B Zhang, W Hong, Y Wu
Signal Processing 93 (7), 1831-1844, 2013
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
TTK Lau, J Zeng, Y Yao
ICLR Workshop 2018, 2018
Constructive neural network learning
S Lin, J Zeng, X Zhang
IEEE Transactions on Cybernetics, 2016
Learning rates of lq coefficient regularization learning with Gaussian kernel
S Lin, J Zeng, J Fang, Z Xu
Neural Computation 26 (10), 2350-2378, 2014
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size
K Ma, J Zeng, J Xiong, Q Xu, X Cao, W Liu, Y Yao
AAAI 2018, 2017
Sparse solution of underdetermined linear equations via adaptively iterative thresholding
J Zeng, S Lin, Z Xu
Signal processing 97, 152-161, 2014
Fast learning with polynomial kernels
S Lin, J Zeng
IEEE transactions on cybernetics 49 (10), 3780-3792, 2018
Learning rates for classification with Gaussian kernels
SB Lin, J Zeng, X Chang
Neural computation 29 (12), 3353-3380, 2017
Hyperspectral image denoising using factor group sparsity-regularized nonconvex low-rank approximation
Y Chen, TZ Huang, W He, XL Zhao, H Zhang, J Zeng
IEEE Transactions on Geoscience and Remote Sensing 60, 1-16, 2021
Random sketching for neural networks with ReLU
D Wang, J Zeng, SB Lin
IEEE Transactions on Neural Networks and Learning Systems 32 (2), 748-762, 2020
GAITA: A Gauss–Seidel iterative thresholding algorithm for ℓq regularized least squares regression
J Zeng, Z Peng, S Lin
Journal of Computational and Applied Mathematics 319, 220-235, 2017
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