Haizhao Yang
Haizhao Yang
Department of Mathematics, Department of Computer Science, University of Maryland College Park
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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
Deep network approximation characterized by number of neurons
Z Shen, H Yang, S Zhang
arXiv preprint arXiv:1906.05497, 2019
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
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
Butterfly Factorization
Y Li, H Yang, E Martin, K Ho, L Ying
SIAM Multiscale Modeling and Simulation, 2015
Neural Network Approximation: Three Hidden Layers Are Enough
Z Shen, H Yang, S Zhang
Neural Networks 141, 160-173, 2021
Nonlinear approximation via compositions
Z Shen, H Yang, S Zhang
Neural Networks 119, 74-84, 2019
Error bounds for deep ReLU networks using the Kolmogorov–Arnold superposition theorem
H Montanelli, H Yang
Neural Networks 129, 1-6, 2020
Synchrosqueezed curvelet transform for two-dimensional mode decomposition
H Yang, L Ying
SIAM Journal on Mathematical Analysis 46 (3), 2052–2083, 2014
Two-layer neural networks for partial differential equations: Optimization and generalization theory
T Luo, H Yang
arXiv preprint arXiv:2006.15733, 2020
Statistical Analysis of Synchrosqueezed Transforms
H Yang
Applied and Computational Harmonic Analysis, 2017
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
Deep ReLU networks overcome the curse of dimensionality for bandlimited functions
H Montanelli, H Yang, Q Du
arXiv preprint arXiv:1903.00735, 2019
Machine learning for prediction with missing dynamics
J Harlim, SW Jiang, S Liang, H Yang
Journal of Computational Physics 428, 109922, 2021
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
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
Quantitative Canvas Weave Analysis Using 2D Synchrosqueezed Transforms
H Yang, J Lu, W Brown, I Daubechies, L Ying
IEEE Signal Processing Magazine, 2015
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
Selectnet: Self-paced learning for high-dimensional partial differential equations
Y Gu, H Yang, C Zhou
Journal of Computational Physics 441, 110444, 2021
Int-deep: A deep learning initialized iterative method for nonlinear problems
J Huang, H Wang, H Yang
Journal of computational physics 419, 109675, 2020
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