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Shao-Bo Lin
Shao-Bo Lin
School of Management, Xi'an Jiaotong University
Verified email at xjtu.edu.cn
Title
Cited by
Cited by
Year
Distributed learning with regularized least squares
SB Lin, X Guo, DX Zhou
Journal of Machine Learning Research 18 (92), 1-31, 2017
2102017
Is extreme learning machine feasible? A theoretical assessment (Part I)
X Liu, S Lin, J Fang, Z Xu
IEEE Transactions on Neural Networks and Learning Systems 26 (1), 7-20, 2014
1692014
Regularization: Convergence of Iterative Half Thresholding Algorithm
J Zeng, S Lin, Y Wang, Z Xu
IEEE Transactions on Signal Processing 62 (9), 2317-2329, 2014
1662014
Is extreme learning machine feasible? A theoretical assessment (Part II)
S Lin, X Liu, J Fang, Z Xu
IEEE Transactions on Neural Networks and Learning Systems 26 (1), 21-34, 2014
1432014
Learning theory of distributed spectral algorithms
ZC Guo, SB Lin, DX Zhou
Inverse Problems 33 (7), 074009, 2017
1392017
Distributed semi-supervised learning with kernel ridge regression
X Chang, SB Lin, DX Zhou
Journal of Machine Learning Research 18 (46), 1-22, 2017
1152017
Global convergence of block coordinate descent in deep learning
J Zeng, TTK Lau, SB Lin, Y Yao
ICML, 2019
107*2019
Distributed kernel-based gradient descent algorithms
SB Lin, DX Zhou
Constructive Approximation 47 (2), 249-276, 2018
832018
Sparse regularization: Convergence of iterative jumping thresholding algorithm
J Zeng, S Lin, Z Xu
IEEE Transactions on Signal Processing 64 (19), 5106-5118, 2016
472016
Generalization and Expressivity for Deep Nets
SB Lin
IEEE Transactions on Neural Networks and Learning Systems, 2018
442018
Divide and conquer local average regression
X Chang, SB Lin, Y Wang
422017
Deep Neural Networks for Rotation-Invariance Approximation and Learning
CK Chui, SB Lin, DX Zhou
Analysis and Applications 17 (5), 737-772, 2019
402019
Depth selection for deep ReLU nets in feature extraction and generalization
Z Han, S. Yu, SB Lin, DX Zhou
IEEE Transactions on Pattern Analysis and Machine Intelligence 1 (1), 1-15, 2020
33*2020
Distributed Kernel Ridge Regression with Communications.
SB Lin, D Wang, DX Zhou
J. Mach. Learn. Res. 21, 93:1-93:38, 2020
332020
Construction of neural networks for realization of localized deep learning
CK Chui, SB Lin, DX Zhou
Frontiers in Applied Mathematics and Statistics, 14, 2018
332018
Distributed learning with multi-penalty regularization
ZC Guo, SB Lin, L Shi
Applied and Computational Harmonic Analysis 46 (3), 478-499, 2019
322019
Realization of spatial sparseness by deep ReLU nets with massive data
CK Chui, SB Lin, B Zhang, DX Zhou
IEEE Transactions on Neural Networks and Learning Systems 33 (1), 229-243, 2020
282020
Almost optimal estimates for approximation and learning by radial basis function networks
S Lin, X Liu, Y Rong, Z Xu
Machine learning 95, 147-164, 2014
282014
Approximation capability of interpolation neural networks
F Cao, S Lin, Z Xu
Neurocomputing 74 (1-3), 457-460, 2010
282010
Constructive neural network learning
S Lin, J Zeng, X Zhang
IEEE transactions on cybernetics 49 (1), 221-232, 2018
272018
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Articles 1–20