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jinshan zeng
jinshan zeng
School of Computer and Information Engineering, Jiangxi Normal University
Verified email at ust.hk
Title
Cited by
Cited by
Year
Global convergence of ADMM in nonconvex nonsmooth optimization
Y Wang, W Yin, J Zeng
Journal of Scientific Computing 78, 29-63, 2019
8572019
L1= 2 Regularization: Convergence of Iterative Half Thresholding Algorithm
J Zeng, S Lin, Y Wang, Z Xu
IEEE Transactions on Signal Processing, 2014
1352014
On nonconvex decentralized gradient descent
J Zeng, W Yin
IEEE Transactions on Signal Processing 66 (11), 2834-2848, 2018
1152018
Extrapush for convex smooth decentralized optimization over directed networks
J Zeng, W Yin
Journal of Computational Mathematics 35 (4), 383-396, 2017
692017
Sparse SAR imaging based on L 1/2 regularization
JS Zeng, J Fang, ZB Xu
Science China Information Sciences 55 (8), 1755-1775, 2012
492012
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
472019
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
442015
Sparse regularization: Convergence of iterative jumping thresholding algorithm
J Zeng, S Lin, Z Xu
IEEE Transactions on Signal Processing 64 (19), 5106-5118, 2016
402016
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
402015
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
322013
A Proximal Block Coordinate Descent Algorithm for Deep Neural Network Training
TTK Lau, J Zeng, Y Yao
ICLR Workshop 2018, 2018
292018
Constructive neural network learning
S Lin, J Zeng, X Zhang
IEEE Transactions on Cybernetics, 2016
222016
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
182014
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
172017
Sparse solution of underdetermined linear equations via adaptively iterative thresholding
J Zeng, S Lin, Z Xu
Signal processing 97, 152-161, 2014
152014
Fast learning with polynomial kernels
S Lin, J Zeng
IEEE transactions on cybernetics 49 (10), 3780-3792, 2018
112018
Learning rates for classification with Gaussian kernels
SB Lin, J Zeng, X Chang
Neural computation 29 (12), 3353-3380, 2017
112017
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
102021
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
102020
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
102017
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