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Haizhao Yang
Haizhao Yang
Department of Mathematics, Department of Computer Science, University of Maryland College Park
Dirección de correo verificada de umd.edu - Página principal
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Deep network approximation for smooth functions
J Lu, Z Shen, H Yang, S Zhang
SIAM Journal on Mathematical Analysis 53 (5), 5465-5506, 2021
2182021
Deep network approximation characterized by number of neurons
Z Shen, H Yang, S Zhang
Commun. Comput. Phys. 28 (5), 1768-1811, 2019
1762019
Synchrosqueezed Wave Packet Transforms and Diffeomorphism Based Spectral Analysis for 1D General Mode Decompositions
H Yang
Applied and Computational Harmonic Analysis 39 (1), 33–66, 2015
1062015
ELSI: A unified software interface for Kohn–Sham electronic structure solvers
VW Yu, F Corsetti, A García, WP Huhn, M Jacquelin, W Jia, B Lange, L Lin, ...
Computer Physics Communications 222, 267-285, 2018
992018
Neural Network Approximation: Three Hidden Layers Are Enough
Z Shen, H Yang, S Zhang
Neural Networks 141, 160-173, 2021
912021
Butterfly Factorization
Y Li, H Yang, E Martin, K Ho, L Ying
SIAM Multiscale Modeling and Simulation, 2015
862015
Optimal approximation rate of ReLU networks in terms of width and depth
Z Shen, H Yang, S Zhang
Journal de Mathématiques Pures et Appliquées 157, 101-135, 2022
842022
Nonlinear approximation via compositions
Z Shen, H Yang, S Zhang
Neural Networks 119, 74-84, 2019
842019
Two-layer neural networks for partial differential equations: Optimization and generalization theory
T Luo, H Yang
arXiv preprint arXiv:2006.15733, 2020
732020
Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem
H Montanelli, H Yang
Neural Networks 129, 1-6, 2020
722020
Synchrosqueezed curvelet transform for two-dimensional mode decomposition
H Yang, L Ying
SIAM Journal on Mathematical Analysis 46 (3), 2052–2083, 2014
702014
Deep ReLU networks overcome the curse of dimensionality for bandlimited functions
H Montanelli, H Yang, Q Du
J. Comp. Math. 39 (6), 801-815, 2021
672021
Statistical Analysis of Synchrosqueezed Transforms
H Yang
Applied and Computational Harmonic Analysis, 2017
65*2017
Machine learning for prediction with missing dynamics
J Harlim, SW Jiang, S Liang, H Yang
Journal of Computational Physics 428, 109922, 2021
602021
Deep network with approximation error being reciprocal of width to power of square root of depth
Z Shen, H Yang, S Zhang
Neural Computation 33 (4), 1005-1036, 2021
562021
Instance enhancement batch normalization: An adaptive regulator of batch noise
S Liang, Z Huang, M Liang, H Yang
Proceedings of the AAAI conference on artificial intelligence 34 (04), 4819-4827, 2020
562020
Selectnet: Self-paced learning for high-dimensional partial differential equations
Y Gu, H Yang, C Zhou
Journal of Computational Physics 441, 110444, 2021
502021
Quantitative Canvas Weave Analysis Using 2D Synchrosqueezed Transforms
H Yang, J Lu, W Brown, I Daubechies, L Ying
IEEE Signal Processing Magazine, 2015
472015
Int-deep: A deep learning initialized iterative method for nonlinear problems
J Huang, H Wang, H Yang
Journal of computational physics 419, 109675, 2020
462020
Dianet: Dense-and-implicit attention network
Z Huang, S Liang, M Liang, H Yang
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4206-4214, 2020
422020
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