Haizhao Yang

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 110

Top Venues

CoRR

J. Comput. Phys.

Multiscale Model. Simul.

SIAM J. Sci. Comput.

Publications

Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. 2024 (2024)
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI (2024)
Qiyuan Pang, Haizhao Yang
A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. J. Sci. Comput. 98 (3) (2024)
Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang
Nesterov's Accelerated Jacobi-Type Methods for Large-scale Symmetric Positive Semidefinite Linear Systems. CoRR (2024)
Zezheng Song, Chunmei Wang, Haizhao Yang
Finite Expression Method for Learning Dynamics on Complex Networks. CoRR (2024)
Zezheng Song, Jiaxin Yuan, Haizhao Yang
FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model. CoRR (2024)
Shixin Zheng, Haizhao Yang, Xiangxiong Zhang
On the convergence of orthogonalization-free conjugate gradient method for extreme eigenvalues of Hermitian matrices: A Riemannian optimization interpretation. J. Comput. Appl. Math. 451 (2024)
Ling Liang, Kim-Chuan Toh, Haizhao Yang
Vertex Exchange Method for a Class of Quadratic Programming Problems. CoRR (2024)
Ling Liang, Haizhao Yang
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization. CoRR (2024)
Zezheng Song, Maria K. Cameron, Haizhao Yang
A Finite Expression Method for Solving High-Dimensional Committor Problems. CoRR (2023)
Shixin Zheng, Haizhao Yang, Xiangxiong Zhang
On the convergence of orthogonalization-free conjugate gradient method for extreme eigenvalues of Hermitian matrices: a Riemannian optimization interpretation. CoRR (2023)
Wenrui Hao, Chunmei Wang, Xingjian Xu, Haizhao Yang
Deep Learning via Neural Energy Descent. CoRR (2023)
Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning. SIAM J. Sci. Comput. 45 (3) (2023)
Yahong Yang, Yue Wu, Haizhao Yang, Yang Xiang
Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces. CoRR (2023)
Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR (2023)
Yahong Yang, Haizhao Yang, Yang Xiang
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. NeurIPS (2023)
Qiyuan Pang, Haizhao Yang
Spectral Clustering via Orthogonalization-Free Methods. CoRR (2023)
Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang
Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR (2023)
Yahong Yang, Haizhao Yang, Yang Xiang
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. CoRR (2023)
Ke Chen, Chunmei Wang, Haizhao Yang
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. CoRR (2023)
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
Stationary Density Estimation of Itô Diffusions Using Deep Learning. SIAM J. Numer. Anal. 61 (1) (2023)
Ke Chen, Chunmei Wang, Haizhao Yang
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. Trans. Mach. Learn. Res. 2023 (2023)
Zhongyi Jiang, Chunmei Wang, Haizhao Yang
Finite Expression Methods for Discovering Physical Laws from Data. CoRR (2023)
Ke Chen, Chunmei Wang, Haizhao Yang
let data talk: data-regularized operator learning theory for inverse problems. CoRR (2023)
Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li
Connecting Optimization and Generalization via Gradient Flow Path Length. CoRR (2022)
Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR (2022)
Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. SIAM J. Numer. Anal. 60 (4) (2022)
Senwei Liang, Haizhao Yang
Finite Expression Method for Solving High-Dimensional Partial Differential Equations. CoRR (2022)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR (2022)
Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR (2022)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Neural Network Architecture Beyond Width and Depth. CoRR (2022)
Yihui Tu, Qiyuan Pang, Haizhao Yang, Zhenli Xu
Linear-scaling selected inversion based on hierarchical interpolative factorization for self Green's function for modified Poisson-Boltzmann equation in two dimensions. J. Comput. Phys. 461 (2022)
Hanyang Jiang, Yuehaw Khoo, Haizhao Yang
Reinforced Inverse Scattering. CoRR (2022)
Yong Zheng Ong, Zuowei Shen, Haizhao Yang
Integral Autoencoder Network for Discretization-Invariant Learning. J. Mach. Learn. Res. 23 (2022)
Shijun Zhang, Zuowei Shen, Haizhao Yang
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. J. Mach. Learn. Res. 23 (2022)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network Approximation in Terms of Intrinsic Parameters. ICML (2022)
Shijun Zhang, Zuowei Shen, Haizhao Yang
Neural Network Architecture Beyond Width and Depth. NeurIPS (2022)
Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang
A Fast Petrov-Galerkin Spectral Method for the Multidimensional Boltzmann Equation Using Mapped Chebyshev Functions. SIAM J. Sci. Comput. 44 (3) (2022)
Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality. Trans. Mach. Learn. Res. 2022 (2022)
Qiyuan Pang, Haizhao Yang
A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. CoRR (2022)
Sean Y. Hon, Haizhao Yang
Simultaneous neural network approximation for smooth functions. Neural Networks 154 (2022)
Yong Zheng Ong, Zuowei Shen, Haizhao Yang
IAE-Net: Integral Autoencoders for Discretization-Invariant Learning. CoRR (2022)
Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR (2022)
Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang
A fast Petrov-Galerkin spectral method for the multi-dimensional Boltzmann equation using mapped Chebyshev functions. CoRR (2021)
Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. CoRR (2021)
Yiqi Gu, Chunmei Wang, Haizhao Yang
Structure probing neural network deflation. J. Comput. Phys. 434 (2021)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. CoRR (2021)
Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang
Solving PDEs on Unknown Manifolds with Machine Learning. CoRR (2021)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Neural network approximation: Three hidden layers are enough. Neural Networks 141 (2021)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth. Neural Comput. 33 (4) (2021)
Yiqi Gu, Haizhao Yang, Chao Zhou
SelectNet: Self-paced learning for high-dimensional partial differential equations. J. Comput. Phys. 441 (2021)
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) (2021)
Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang
Reproducing Activation Function for Deep Learning. CoRR (2021)
Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
Blending Pruning Criteria for Convolutional Neural Networks. CoRR (2021)
Sean Hon, Haizhao Yang
Simultaneous Neural Network Approximations in Sobolev Spaces. CoRR (2021)
Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang
Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs. CoRR (2021)
James Bremer, Ze Chen, Haizhao Yang
Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. SIAM J. Sci. Comput. 43 (6) (2021)
Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network Approximation for Smooth Functions. SIAM J. Math. Anal. 53 (5) (2021)
Zuowei Shen, Haizhao Yang, Shijun Zhang
ReLU Network Approximation in Terms of Intrinsic Parameters. CoRR (2021)
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
Machine learning for prediction with missing dynamics. J. Comput. Phys. 428 (2021)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth. CoRR (2021)
Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
Stationary Density Estimation of Itô Diffusions Using Deep Learning. CoRR (2021)
Jianguo Huang, Haoqin Wang, Haizhao Yang
Int-Deep: A deep learning initialized iterative method for nonlinear problems. J. Comput. Phys. 419 (2020)
Yunru Liu, Tingran Gao, Haizhao Yang
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. MSML (2020)
Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang
Multidimensional phase recovery and interpolative decomposition butterfly factorization. J. Comput. Phys. 412 (2020)
Xiangxiang Zhu, Haizhao Yang, Zhuosheng Zhang, Jinghuai Gao, Naihao Liu
Frequency-chirprate reassignment. Digit. Signal Process. 104 (2020)
Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network Approximation for Smooth Functions. CoRR (2020)
Tao Luo, Haizhao Yang
Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory. CoRR (2020)
Yang Liu, Haizhao Yang
A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces. J. Comput. Phys. 401 (2020)
Hadrien Montanelli, Haizhao Yang
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. Neural Networks 129 (2020)
Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning. CoRR (2020)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network Approximation with Discrepancy Being Reciprocal of Width to Power of Depth. CoRR (2020)
Gao Tang, Haizhao Yang
A Fast Algorithm for Multiresolution Mode Decomposition. Multiscale Model. Simul. 18 (2) (2020)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR (2020)
James Bremer, Ze Chen, Haizhao Yang
Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. CoRR (2020)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Neural Network Approximation: Three Hidden Layers Are Enough. CoRR (2020)
Yiqi Gu, Chunmei Wang, Haizhao Yang
Structure Probing Neural Network Deflation. CoRR (2020)
Qiyuan Pang, Kenneth L. Ho, Haizhao Yang
Interpolative Decomposition Butterfly Factorization. SIAM J. Sci. Comput. 42 (2) (2020)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
DIANet: Dense-and-Implicit Attention Network. AAAI (2020)
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI (2020)
Yiqi Gu, Haizhao Yang, Chao Zhou
SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations. CoRR (2020)
Jianguo Huang, Haoqin Wang, Haizhao Yang
Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems. CoRR (2019)
Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
DIANet: Dense-and-Implicit Attention Network. CoRR (2019)
Yong Zheng Ong, Charles K. Chui, Haizhao Yang
CASS: Cross Adversarial Source Separation via Autoencoder. CoRR (2019)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Nonlinear Approximation via Compositions. CoRR (2019)
Hadrien Montanelli, Haizhao Yang
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. CoRR (2019)
John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
Machine Learning for Prediction with Missing Dynamics. CoRR (2019)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Deep Network Approximation Characterized by Number of Neurons. CoRR (2019)
Yunru Liu, Tingran Gao, Haizhao Yang
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. CoRR (2019)
Zuowei Shen, Haizhao Yang, Shijun Zhang
Nonlinear approximation via compositions. Neural Networks 119 (2019)
Lin Chen, Haizhao Yang
Generative Imaging and Image Processing via Generative Encoder. CoRR (2019)
Haizhao Yang
A unified framework for oscillatory integral transforms: When to use NUFFT or butterfly factorization? J. Comput. Phys. 388 (2019)
Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR (2019)
Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang
Multidimensional Phase Recovery and Interpolative Decomposition Butterfly Factorization. CoRR (2019)
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
ELSI: A unified software interface for Kohn-Sham electronic structure solvers. Comput. Phys. Commun. 222 (2018)
Jianfeng Lu, Haizhao Yang
Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms. SIAM J. Imaging Sci. 11 (3) (2018)
John Harlim, Haizhao Yang
Diffusion Forecasting Model with Basis Functions from QR-Decomposition. J. Nonlinear Sci. 28 (3) (2018)
Jieren Xu, Haizhao Yang, Ingrid Daubechies
Recursive Diffeomorphism-Based Regression for Shape Functions. SIAM J. Math. Anal. 50 (1) (2018)
Senwei Liang, Yuehaw Khoo, Haizhao Yang
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR (2018)
Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang
Non-Oscillatory Pattern Learning for Non-Stationary Signals. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Haizhao Yang