Haizhao Yang

According to our database, Haizhao Yang authored at least 84 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering.

Qiyuan Pang, Haizhao Yang

J. Sci. Comput., March, 2024

On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization.

Ling Liang, Haizhao Yang

CoRR, 2024

Finite Expression Method for Learning Dynamics on Complex Networks.

Zezheng Song, Chunmei Wang, Haizhao Yang

CoRR, 2024

Neural Network Approximation for Pessimistic Offline Reinforcement Learning.

Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning.

Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang

SIAM J. Sci. Comput., June, 2023

Stationary Density Estimation of Itô Diffusions Using Deep Learning.

Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang

SIAM J. Numer. Anal., February, 2023

Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces.

Yahong Yang, Yue Wu, Haizhao Yang, Yang Xiang

CoRR, 2023

let data talk: data-regularized operator learning theory for inverse problems.

Ke Chen, Chunmei Wang, Haizhao Yang

CoRR, 2023

A Finite Expression Method for Solving High-Dimensional Committor Problems.

Zezheng Song, Maria K. Cameron, Haizhao Yang

CoRR, 2023

Spectral Clustering via Orthogonalization-Free Methods.

Qiyuan Pang, Haizhao Yang

CoRR, 2023

Finite Expression Methods for Discovering Physical Laws from Data.

Zhongyi Jiang, Chunmei Wang, Haizhao Yang

CoRR, 2023

Deep Learning via Neural Energy Descent.

Wenrui Hao, Chunmei Wang, Xingjian Xu, Haizhao Yang

CoRR, 2023

On the convergence of orthogonalization-free conjugate gradient method for extreme eigenvalues of Hermitian matrices: a Riemannian optimization interpretation.

Shixin Zheng, Haizhao Yang, Xiangxiong Zhang

CoRR, 2023

Convergence Analysis of the Deep Galerkin Method for Weak Solutions.

Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang

CoRR, 2023

Deep Operator Learning Lessens the Curse of Dimensionality for PDEs.

Ke Chen, Chunmei Wang, Haizhao Yang

CoRR, 2023

Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives.

Yahong Yang, Haizhao Yang, Yang Xiang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation.

Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou

SIAM J. Numer. Anal., August, 2022

From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality.

Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li

Trans. Mach. Learn. Res., 2022

A Fast Petrov-Galerkin Spectral Method for the Multidimensional Boltzmann Equation Using Mapped Chebyshev Functions.

Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang

SIAM J. Sci. Comput., 2022

Simultaneous neural network approximation for smooth functions.

Sean Y. Hon, Haizhao Yang

Neural Networks, 2022

Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons.

Shijun Zhang, Zuowei Shen, Haizhao Yang

J. Mach. Learn. Res., 2022

Integral Autoencoder Network for Discretization-Invariant Learning.

Yong Zheng Ong, Zuowei Shen, Haizhao Yang

J. Mach. Learn. Res., 2022

Linear-scaling selected inversion based on hierarchical interpolative factorization for self Green's function for modified Poisson-Boltzmann equation in two dimensions.

Yihui Tu, Qiyuan Pang, Haizhao Yang, Zhenli Xu

J. Comput. Phys., 2022

What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning?

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao

CoRR, 2022

Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec.

Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin

CoRR, 2022

The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin

CoRR, 2022

Finite Expression Method for Solving High-Dimensional Partial Differential Equations.

Senwei Liang, Haizhao Yang

CoRR, 2022

Reinforced Inverse Scattering.

Hanyang Jiang, Yuehaw Khoo, Haizhao Yang

CoRR, 2022

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning.

Yong Zheng Ong, Zuowei Shen, Haizhao Yang

CoRR, 2022

Connecting Optimization and Generalization via Gradient Flow Path Length.

Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li

CoRR, 2022

Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces.

Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao

CoRR, 2022

Neural Network Architecture Beyond Width and Depth.

Shijun Zhang, Zuowei Shen, Haizhao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep Network Approximation in Terms of Intrinsic Parameters.

Zuowei Shen, Haizhao Yang, Shijun Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization.

James Bremer, Ze Chen, Haizhao Yang

SIAM J. Sci. Comput., 2021

Deep Network Approximation for Smooth Functions.

Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang

SIAM J. Math. Anal., 2021

Neural network approximation: Three hidden layers are enough.

Zuowei Shen, Haizhao Yang, Shijun Zhang

Neural Networks, 2021

Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth.

Zuowei Shen, Haizhao Yang, Shijun Zhang

Neural Comput., 2021

Machine learning for prediction with missing dynamics.

John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang

J. Comput. Phys., 2021

SelectNet: Self-paced learning for high-dimensional partial differential equations.

Yiqi Gu, Haizhao Yang, Chao Zhou

J. Comput. Phys., 2021

Structure probing neural network deflation.

Yiqi Gu, Chunmei Wang, Haizhao Yang

J. Comput. Phys., 2021

ReLU Network Approximation in Terms of Intrinsic Parameters.

Zuowei Shen, Haizhao Yang, Shijun Zhang

CoRR, 2021

Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs.

Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang

CoRR, 2021

Simultaneous Neural Network Approximations in Sobolev Spaces.

Sean Y. Hon, Haizhao Yang

CoRR, 2021

Solving PDEs on Unknown Manifolds with Machine Learning.

Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang

CoRR, 2021

A fast Petrov-Galerkin spectral method for the multi-dimensional Boltzmann equation using mapped Chebyshev functions.

Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang

CoRR, 2021

Optimal Approximation Rate of ReLU Networks in terms of Width and Depth.

Zuowei Shen, Haizhao Yang, Shijun Zhang

CoRR, 2021

Reproducing Activation Function for Deep Learning.

Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang

CoRR, 2021

Blending Pruning Criteria for Convolutional Neural Networks.

Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020

Interpolative Decomposition Butterfly Factorization.

Qiyuan Pang, Kenneth L. Ho, Haizhao Yang

SIAM J. Sci. Comput., 2020

Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem.

Hadrien Montanelli, Haizhao Yang

Neural Networks, 2020

A Fast Algorithm for Multiresolution Mode Decomposition.

Gao Tang, Haizhao Yang

Multiscale Model. Simul., 2020

A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces.

Yang Liu, Haizhao Yang

J. Comput. Phys., 2020

Int-Deep: A deep learning initialized iterative method for nonlinear problems.

Jianguo Huang, Haoqin Wang, Haizhao Yang

J. Comput. Phys., 2020

Multidimensional phase recovery and interpolative decomposition butterfly factorization.

Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang

J. Comput. Phys., 2020

Frequency-chirprate reassignment.

Xiangxiang Zhu, Haizhao Yang, Zhuosheng Zhang, Jinghuai Gao, Naihao Liu

Digit. Signal Process., 2020

Efficient Attention Network: Accelerate Attention by Searching Where to Plug.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang

CoRR, 2020

Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory.

Tao Luo, Haizhao Yang

CoRR, 2020

Deep Network Approximation with Discrepancy Being Reciprocal of Width to Power of Depth.

Zuowei Shen, Haizhao Yang, Shijun Zhang

CoRR, 2020

SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations.

Yiqi Gu, Haizhao Yang, Chao Zhou

CoRR, 2020

SelectNet: Learning to Sample from the Wild for Imbalanced Data Training.

Yunru Liu, Tingran Gao, Haizhao Yang

Proceedings of Mathematical and Scientific Machine Learning, 2020

Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise.

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

DIANet: Dense-and-Implicit Attention Network.

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Nonlinear approximation via compositions.

Zuowei Shen, Haizhao Yang, Shijun Zhang

Neural Networks, 2019

A unified framework for oscillatory integral transforms: When to use NUFFT or butterfly factorization?

Haizhao Yang

J. Comput. Phys., 2019

Deep Network Approximation Characterized by Number of Neurons.

Zuowei Shen, Haizhao Yang, Shijun Zhang

CoRR, 2019

Generative Imaging and Image Processing via Generative Encoder.

Lin Chen, Haizhao Yang

CoRR, 2019

CASS: Cross Adversarial Source Separation via Autoencoder.

Yong Zheng Ong, Charles K. Chui, Haizhao Yang

CoRR, 2019

2018

Recursive Diffeomorphism-Based Regression for Shape Functions.

Jieren Xu, Haizhao Yang, Ingrid Daubechies

SIAM J. Math. Anal., 2018

Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms.

Jianfeng Lu, Haizhao Yang

SIAM J. Imaging Sci., 2018

Diffusion Forecasting Model with Basis Functions from QR-Decomposition.

John Harlim, Haizhao Yang

J. Nonlinear Sci., 2018

ELSI: A unified software interface for Kohn-Sham electronic structure solvers.

Victor Wen-zhe Yu, Fabiano Corsetti, Alberto García, William P. Huhn, Mathias Jacquelin, Weile Jia, Björn Lange, Lin Lin, Jianfeng Lu, Wenhui Mi, Ali Seifitokaldani, Álvaro Vázquez-Mayagoitia, Chao Yang, Haizhao Yang, Volker Blum

Comput. Phys. Commun., 2018

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.

Senwei Liang, Yuehaw Khoo, Haizhao Yang

CoRR, 2018

Non-Oscillatory Pattern Learning for Non-Stationary Signals.

Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang

CoRR, 2018

2017

Removal of Canvas Patterns in Digital Acquisitions of Paintings.

Bruno Cornelis, Haizhao Yang, Alex Goodfriend, Noelle Ocon, Jianfeng Lu, Ingrid Daubechies

IEEE Trans. Image Process., 2017

Interpolative Butterfly Factorization.

Yingzhou Li, Haizhao Yang

SIAM J. Sci. Comput., 2017

Preconditioning Orbital Minimization Method for Planewave Discretization.

Jianfeng Lu, Haizhao Yang

Multiscale Model. Simul., 2017

A cubic scaling algorithm for excited states calculations in particle-particle random phase approximation.

Jianfeng Lu, Haizhao Yang

J. Comput. Phys., 2017

Spectrum Slicing for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions.

Yingzhou Li, Haizhao Yang

CoRR, 2017

2015

Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation.

Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying

IEEE Signal Process. Mag., 2015

Crystal Image Analysis Using 2D Synchrosqueezed Transforms.

Haizhao Yang, Jianfeng Lu, Lexing Ying

Multiscale Model. Simul., 2015

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators.

Yingzhou Li, Haizhao Yang, Lexing Ying

Multiscale Model. Simul., 2015

Butterfly Factorization.

Yingzhou Li, Haizhao Yang, Eileen R. Martin, Kenneth L. Ho, Lexing Ying

Multiscale Model. Simul., 2015

2014

Synchrosqueezed Curvelet Transform for Two-Dimensional Mode Decomposition.

Haizhao Yang, Lexing Ying

SIAM J. Math. Anal., 2014

2013

Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition.

Haizhao Yang, Lexing Ying

SIAM J. Imaging Sci., 2013