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2020 – today
- 2024
[j44]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: 116053 (2024)- [j43]Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. J. Mach. Learn. Res. 25: 24:1-24:67 (2024) - [j42]Qiyuan Pang, Haizhao Yang:
A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. J. Sci. Comput. 98(3): 69 (2024) - [j41]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) - [c9]Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu:
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI 2024: 15868-15877 - [c8]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network*. ICME 2024: 1-6 - [i63]Zezheng Song, Chunmei Wang, Haizhao Yang:
Finite Expression Method for Learning Dynamics on Complex Networks. CoRR abs/2401.03092 (2024) - [i62]Ling Liang, Haizhao Yang:
On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization. CoRR abs/2401.12508 (2024) - [i61]Zezheng Song, Jiaxin Yuan, Haizhao Yang:
FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model. CoRR abs/2404.14688 (2024) - [i60]Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang:
Nesterov's Accelerated Jacobi-Type Methods for Large-scale Symmetric Positive Semidefinite Linear Systems. CoRR abs/2407.03272 (2024) - [i59]Ling Liang, Kim-Chuan Toh, Haizhao Yang:
Vertex Exchange Method for a Class of Quadratic Programming Problems. CoRR abs/2407.03294 (2024) - [i58]Ayan Maiti, Michelle Michelle, Haizhao Yang:
Optimal Neural Network Approximation for High-Dimensional Continuous Functions. CoRR abs/2409.02363 (2024) - [i57]Ling Liang, Cameron Austin, Haizhao Yang:
Accelerating Multi-Block Constrained Optimization Through Learning to Optimize. CoRR abs/2409.17320 (2024) - 2023
- [j40]Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang:
Stationary Density Estimation of Itô Diffusions Using Deep Learning. SIAM J. Numer. Anal. 61(1): 45-82 (2023) - [j39]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): 1271-1299 (2023) - [j38]Ke Chen, Chunmei Wang, Haizhao Yang:
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. Trans. Mach. Learn. Res. 2023 (2023) - [c7]Yahong Yang, Haizhao Yang, Yang Xiang:
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. NeurIPS 2023 - [i56]Ke Chen, Chunmei Wang, Haizhao Yang:
Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. CoRR abs/2301.12227 (2023) - [i55]Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang:
Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR abs/2302.02405 (2023) - [i54]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 abs/2302.04974 (2023) - [i53]Wenrui Hao, Chunmei Wang, Xingjian Xu, Haizhao Yang:
Deep Learning via Neural Energy Descent. CoRR abs/2302.10424 (2023) - [i52]Zhongyi Jiang, Chunmei Wang, Haizhao Yang:
Finite Expression Methods for Discovering Physical Laws from Data. CoRR abs/2305.08342 (2023) - [i51]Yahong Yang, Haizhao Yang, Yang Xiang:
Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. CoRR abs/2305.08466 (2023) - [i50]Qiyuan Pang, Haizhao Yang:
Spectral Clustering via Orthogonalization-Free Methods. CoRR abs/2305.10356 (2023) - [i49]Zezheng Song, Maria K. Cameron, Haizhao Yang:
A Finite Expression Method for Solving High-Dimensional Committor Problems. CoRR abs/2306.12268 (2023) - [i48]Ke Chen, Chunmei Wang, Haizhao Yang:
let data talk: data-regularized operator learning theory for inverse problems. CoRR abs/2310.09854 (2023) - [i47]Yahong Yang, Yue Wu, Haizhao Yang, Yang Xiang:
Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces. CoRR abs/2310.10766 (2023) - [i46]Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu:
Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR abs/2312.11863 (2023) - 2022
- [j37]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: 110893 (2022) - [j36]Shijun Zhang, Zuowei Shen, Haizhao Yang:
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. J. Mach. Learn. Res. 23: 276:1-276:60 (2022) - [j35]Yong Zheng Ong, Zuowei Shen, Haizhao Yang:
Integral Autoencoder Network for Discretization-Invariant Learning. J. Mach. Learn. Res. 23: 286:1-286:45 (2022) - [j34]Sean Hon, Haizhao Yang:
Simultaneous neural network approximation for smooth functions. Neural Networks 154: 152-164 (2022) - [j33]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): 2014-2045 (2022) - [j32]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): 1497- (2022) - [j31]Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li:
From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality. Trans. Mach. Learn. Res. 2022 (2022) - [c6]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation in Terms of Intrinsic Parameters. ICML 2022: 19909-19934 - [c5]Shijun Zhang, Zuowei Shen, Haizhao Yang:
Neural Network Architecture Beyond Width and Depth. NeurIPS 2022 - [i45]Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao:
Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR abs/2201.00217 (2022) - [i44]Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li:
Connecting Optimization and Generalization via Gradient Flow Path Length. CoRR abs/2202.10670 (2022) - [i43]Yong Zheng Ong, Zuowei Shen, Haizhao Yang:
IAE-Net: Integral Autoencoders for Discretization-Invariant Learning. CoRR abs/2203.05142 (2022) - [i42]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Neural Network Architecture Beyond Width and Depth. CoRR abs/2205.09459 (2022) - [i41]Hanyang Jiang, Yuehaw Khoo, Haizhao Yang:
Reinforced Inverse Scattering. CoRR abs/2206.04186 (2022) - [i40]Senwei Liang, Haizhao Yang:
Finite Expression Method for Solving High-Dimensional Partial Differential Equations. CoRR abs/2206.10121 (2022) - [i39]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin:
The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR abs/2207.07858 (2022) - [i38]Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin:
Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR abs/2208.03680 (2022) - [i37]Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao:
What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR abs/2212.02705 (2022) - [i36]Qiyuan Pang, Haizhao Yang:
A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. CoRR abs/2212.04443 (2022) - 2021
- [j30]John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang:
Machine learning for prediction with missing dynamics. J. Comput. Phys. 428: 109922 (2021) - [j29]Yiqi Gu, Chunmei Wang, Haizhao Yang:
Structure probing neural network deflation. J. Comput. Phys. 434: 110231 (2021) - [j28]Yiqi Gu, Haizhao Yang, Chao Zhou:
SelectNet: Self-paced learning for high-dimensional partial differential equations. J. Comput. Phys. 441: 110444 (2021) - [j27]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): 1005-1036 (2021) - [j26]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Neural network approximation: Three hidden layers are enough. Neural Networks 141: 160-173 (2021) - [j25]Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation for Smooth Functions. SIAM J. Math. Anal. 53(5): 5465-5506 (2021) - [j24]James Bremer, Ze Chen, Haizhao Yang:
Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. SIAM J. Sci. Comput. 43(6): A3789-A3808 (2021) - [c4]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) 2021: 3-15 - [i35]Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang:
Reproducing Activation Function for Deep Learning. CoRR abs/2101.04844 (2021) - [i34]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Optimal Approximation Rate of ReLU Networks in terms of Width and Depth. CoRR abs/2103.00502 (2021) - [i33]Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou:
The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. CoRR abs/2103.11488 (2021) - [i32]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 abs/2105.08806 (2021) - [i31]Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang:
Solving PDEs on Unknown Manifolds with Machine Learning. CoRR abs/2106.06682 (2021) - [i30]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. CoRR abs/2107.02397 (2021) - [i29]Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang:
Blending Pruning Criteria for Convolutional Neural Networks. CoRR abs/2107.05033 (2021) - [i28]Sean Y. Hon, Haizhao Yang:
Simultaneous Neural Network Approximations in Sobolev Spaces. CoRR abs/2109.00161 (2021) - [i27]Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang:
Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs. CoRR abs/2109.01790 (2021) - [i26]Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang:
Stationary Density Estimation of Itô Diffusions Using Deep Learning. CoRR abs/2109.03992 (2021) - [i25]Zuowei Shen, Haizhao Yang, Shijun Zhang:
ReLU Network Approximation in Terms of Intrinsic Parameters. CoRR abs/2111.07964 (2021) - 2020
- [j23]Xiangxiang Zhu, Haizhao Yang, Zhuosheng Zhang, Jinghuai Gao, Naihao Liu:
Frequency-chirprate reassignment. Digit. Signal Process. 104: 102783 (2020) - [j22]Yang Liu, Haizhao Yang:
A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces. J. Comput. Phys. 401 (2020) - [j21]Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang:
Multidimensional phase recovery and interpolative decomposition butterfly factorization. J. Comput. Phys. 412: 109427 (2020) - [j20]Jianguo Huang, Haoqin Wang, Haizhao Yang:
Int-Deep: A deep learning initialized iterative method for nonlinear problems. J. Comput. Phys. 419: 109675 (2020) - [j19]Gao Tang, Haizhao Yang:
A Fast Algorithm for Multiresolution Mode Decomposition. Multiscale Model. Simul. 18(2): 707-736 (2020) - [j18]Hadrien Montanelli, Haizhao Yang:
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. Neural Networks 129: 1-6 (2020) - [j17]Qiyuan Pang, Kenneth L. Ho, Haizhao Yang:
Interpolative Decomposition Butterfly Factorization. SIAM J. Sci. Comput. 42(2): A1097-A1115 (2020) - [c3]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. AAAI 2020: 4206-4214 - [c2]Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI 2020: 4819-4827 - [c1]Yunru Liu, Tingran Gao, Haizhao Yang:
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. MSML 2020: 193-206 - [i24]Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation for Smooth Functions. CoRR abs/2001.03040 (2020) - [i23]Yiqi Gu, Haizhao Yang, Chao Zhou:
SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations. CoRR abs/2001.04860 (2020) - [i22]James Bremer, Ze Chen, Haizhao Yang:
Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. CoRR abs/2004.11346 (2020) - [i21]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation with Discrepancy Being Reciprocal of Width to Power of Depth. CoRR abs/2006.12231 (2020) - [i20]Tao Luo, Haizhao Yang:
Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory. CoRR abs/2006.15733 (2020) - [i19]Yiqi Gu, Chunmei Wang, Haizhao Yang:
Structure Probing Neural Network Deflation. CoRR abs/2007.03609 (2020) - [i18]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Neural Network Approximation: Three Hidden Layers Are Enough. CoRR abs/2010.14075 (2020) - [i17]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang:
Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR abs/2011.14058 (2020) - [i16]Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang:
Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning. CoRR abs/2012.08023 (2020)
2010 – 2019
- 2019
- [j16]Haizhao Yang:
A unified framework for oscillatory integral transforms: When to use NUFFT or butterfly factorization? J. Comput. Phys. 388: 103-122 (2019) - [j15]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Nonlinear approximation via compositions. Neural Networks 119: 74-84 (2019) - [i15]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Nonlinear Approximation via Compositions. CoRR abs/1902.10170 (2019) - [i14]Yunru Liu, Tingran Gao, Haizhao Yang:
SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. CoRR abs/1905.09872 (2019) - [i13]Yong Zheng Ong, Charles K. Chui, Haizhao Yang:
CASS: Cross Adversarial Source Separation via Autoencoder. CoRR abs/1905.09877 (2019) - [i12]Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang:
DIANet: Dense-and-Implicit Attention Network. CoRR abs/1905.10671 (2019) - [i11]Lin Chen, Haizhao Yang:
Generative Imaging and Image Processing via Generative Encoder. CoRR abs/1905.13300 (2019) - [i10]Zuowei Shen, Haizhao Yang, Shijun Zhang:
Deep Network Approximation Characterized by Number of Neurons. CoRR abs/1906.05497 (2019) - [i9]Hadrien Montanelli, Haizhao Yang:
Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. CoRR abs/1906.11945 (2019) - [i8]Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang:
Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR abs/1908.04008 (2019) - [i7]Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang:
Multidimensional Phase Recovery and Interpolative Decomposition Butterfly Factorization. CoRR abs/1908.09376 (2019) - [i6]Jianguo Huang, Haoqin Wang, Haizhao Yang:
Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems. CoRR abs/1910.01594 (2019) - [i5]John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang:
Machine Learning for Prediction with Missing Dynamics. CoRR abs/1910.05861 (2019) - 2018
- [j14]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: 267-285 (2018) - [j13]John Harlim, Haizhao Yang:
Diffusion Forecasting Model with Basis Functions from QR-Decomposition. J. Nonlinear Sci. 28(3): 847-872 (2018) - [j12]Jianfeng Lu, Haizhao Yang:
Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms. SIAM J. Imaging Sci. 11(3): 1954-1978 (2018) - [j11]Jieren Xu, Haizhao Yang, Ingrid Daubechies:
Recursive Diffeomorphism-Based Regression for Shape Functions. SIAM J. Math. Anal. 50(1): 5-32 (2018) - [i4]Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang:
Non-Oscillatory Pattern Learning for Non-Stationary Signals. CoRR abs/1805.08102 (2018) - [i3]Senwei Liang, Yuehaw Khoo, Haizhao Yang:
Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR abs/1811.05850 (2018) - 2017
- [j10]Jianfeng Lu, Haizhao Yang:
A cubic scaling algorithm for excited states calculations in particle-particle random phase approximation. J. Comput. Phys. 340: 297-308 (2017) - [j9]Jianfeng Lu, Haizhao Yang:
Preconditioning Orbital Minimization Method for Planewave Discretization. Multiscale Model. Simul. 15(1): 254-273 (2017) - [j8]Yingzhou Li, Haizhao Yang:
Interpolative Butterfly Factorization. SIAM J. Sci. Comput. 39(2) (2017) - [j7]Bruno Cornelis, Haizhao Yang, Alex Goodfriend, Noelle Ocon, Jianfeng Lu, Ingrid Daubechies:
Removal of Canvas Patterns in Digital Acquisitions of Paintings. IEEE Trans. Image Process. 26(1): 160-171 (2017) - [i2]Yingzhou Li, Haizhao Yang:
Spectrum Slicing for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions. CoRR abs/1701.08935 (2017) - 2016
- [i1]Jieren Xu, Haizhao Yang, Ingrid Daubechies:
Recursive Diffeomorphism-Based Regression for Shape Functions. CoRR abs/1610.03819 (2016) - 2015
- [j6]Yingzhou Li, Haizhao Yang, Lexing Ying:
A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators. Multiscale Model. Simul. 13(2): 614-631 (2015) - [j5]Yingzhou Li, Haizhao Yang, Eileen R. Martin, Kenneth L. Ho, Lexing Ying:
Butterfly Factorization. Multiscale Model. Simul. 13(2): 714-732 (2015) - [j4]Haizhao Yang, Jianfeng Lu, Lexing Ying:
Crystal Image Analysis Using 2D Synchrosqueezed Transforms. Multiscale Model. Simul. 13(4): 1542-1572 (2015) - [j3]Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying:
Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation. IEEE Signal Process. Mag. 32(4): 55-63 (2015) - 2014
- [j2]Haizhao Yang, Lexing Ying:
Synchrosqueezed Curvelet Transform for Two-Dimensional Mode Decomposition. SIAM J. Math. Anal. 46(3): 2052-2083 (2014) - 2013
- [j1]Haizhao Yang, Lexing Ying:
Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition. SIAM J. Imaging Sci. 6(4): 1979-2009 (2013)
Coauthor Index
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