Haizhao Yang - RankMe

145 papers A* 6A 1Journal 135Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing. CoRR Jianda Du, Youran Sun, Haizhao Yang
2026	J	`jnl`	DRIFT: Detecting Representational Inconsistencies for Factual Truthfulness. CoRR Rohan Bhatnagar, Youran Sun, Chi Andrew Zhang, Yixin Wen, Haizhao Yang
2026	J	`jnl`	Data Completion for Electrical Impedance Tomography by Conditional Diffusion Models. CoRR Ke Chen, Haizhao Yang, Chugang Yi
2026	J	`jnl`	Manifold-based Sampling for In-Context Hallucination Detection in Large Language Models. CoRR Bodla Krishna Vamshi, Rohan Bhatnagar, Haizhao Yang
2026	J	`jnl`	Non-Uniform Quantum Fourier Transform. CoRR Junaid Aftab, Yuehaw Khoo, Haizhao Yang
2026	J	`jnl`	Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning. CoRR Bodla Krishna Vamshi, Haizhao Yang
2026	J	`jnl`	ReSearch: A Multi-Stage Machine Learning Framework for Earth Science Data Discovery. CoRR Youran Sun, Yixin Wen, Haizhao Yang
2025	J	`jnl`	A Finite Expression Method for Solving High-Dimensional Committor Problems. SIAM J. Sci. Comput. Zezheng Song, Maria K. Cameron, Haizhao Yang
2025	J	`jnl`	Curse of Dimensionality in Neural Network Optimization. CoRR Sanghoon Na, Haizhao Yang
2025	J	`jnl`	Efficient Kilometer-Scale Precipitation Downscaling with Conditional Wavelet Diffusion. CoRR Chugang Yi, Minghan Yu, Weikang Qian, Yixin Wen, Haizhao Yang
2025	J	`jnl`	Error analysis for learning the time-stepping operator of evolutionary PDEs. CoRR Ke Chen, Meenakshi Krishnan, Haizhao Yang
2025	J	`jnl`	FMint-SDE: A Multimodal Foundation Model for Accelerating Numerical Simulation of SDEs via Error Correction. CoRR Jiaxin Yuan, Haizhao Yang, Maria Cameron
2025	J	`jnl`	Finite Expression Method for Solving High-Dimensional Partial Differential Equations. J. Mach. Learn. Res. Senwei Liang, Haizhao Yang
2025	J	`jnl`	From Equations to Insights: Unraveling Symbolic Structures in PDEs with LLMs. CoRR Rohan Bhatnagar, Ling Liang, Krish Patel, Haizhao Yang
2025	—	`conf`	LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard. IDS Varun Rao, Youran Sun, Mahendra Kumar, Tejas Mutneja, Agastya Mukherjee, Haizhao Yang
2025	J	`jnl`	LLMs Meet Finance: Fine-Tuning Foundation Models for the Open FinLLM Leaderboard. CoRR Varun Rao, Youran Sun, Mahendra Kumar, Tejas Mutneja, Agastya Mukherjee, Haizhao Yang
2025	J	`jnl`	Multi-Scale Finite Expression Method for PDEs with Oscillatory Solutions on Complex Domains. CoRR Gareth Hardwick, Haizhao Yang
2025	J	`jnl`	Nesterov's Accelerated Jacobi-Type Methods for Large-Scale Symmetric Positive Semidefinite Linear Systems. SIAM J. Sci. Comput. Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang
2025	J	`jnl`	NewVEM: A Newton Vertex Exchange Method for a Class of Constrained Self-Concordant Minimization Problems. J. Sci. Comput. Ling Liang, Kim-Chuan Toh, Haizhao Yang
2025	J	`jnl`	OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents. CoRR Raghav Thind, Youran Sun, Ling Liang, Haizhao Yang
2025	J	`jnl`	PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport. CoRR Di Wu, Ling Liang, Haizhao Yang
2025	J	`jnl`	Parsing the Language of Expression: Enhancing Symbolic Regression with Domain-Aware Symbolic Priors. CoRR Sikai Huang, Yixin Berry Wen, Tara Adusumilli, Kusum Choudhary, Haizhao Yang
2025	J	`jnl`	Protocode: Prototype-Driven Interpretability for Code Generation in LLMs. CoRR Krishna Vamshi Bodla, Haizhao Yang
2025	J	`jnl`	Quantum Circuit Encodings of Polynomial Chaos Expansions. CoRR Junaid Aftab, Christoph Schwab, Haizhao Yang, Jakob Zech
2025	J	`jnl`	Solving high-dimensional partial integral differential equations: The finite expression method. J. Comput. Phys. Gareth Hardwick, Senwei Liang, Haizhao Yang
2024	J	`jnl`	A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. J. Sci. Comput. Qiyuan Pang, Haizhao Yang
2024	J	`jnl`	Accelerating Multi-Block Constrained Optimization Through Learning to Optimize. CoRR Ling Liang, Cameron Austin, Haizhao Yang
2024	J	`jnl`	Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. J. Mach. Learn. Res. Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
2024	J	`jnl`	FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model. CoRR Zezheng Song, Jiaxin Yuan, Haizhao Yang
2024	J	`jnl`	Finite Expression Method for Learning Dynamics on Complex Networks. CoRR Zezheng Song, Chunmei Wang, Haizhao Yang
2024	A	`conf`	Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network ICME Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
2024	J	`jnl`	Nesterov's Accelerated Jacobi-Type Methods for Large-scale Symmetric Positive Semidefinite Linear Systems. CoRR Ling Liang, Qiyuan Pang, Kim-Chuan Toh, Haizhao Yang
2024	A*	`conf`	Neural Network Approximation for Pessimistic Offline Reinforcement Learning. AAAI Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
2024	J	`jnl`	On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization. CoRR Ling Liang, Haizhao Yang
2024	J	`jnl`	On the Stochastic (Variance-Reduced) Proximal Gradient Method for Regularized Expected Reward Optimization. Trans. Mach. Learn. Res. Ling Liang, Haizhao Yang
2024	J	`jnl`	On the convergence of orthogonalization-free conjugate gradient method for extreme eigenvalues of Hermitian matrices: A Riemannian optimization interpretation. J. Comput. Appl. Math. Shixin Zheng, Haizhao Yang, Xiangxiong Zhang
2024	J	`jnl`	Optimal Neural Network Approximation for High-Dimensional Continuous Functions. CoRR Ayan Maiti, Michelle Michelle, Haizhao Yang
2024	J	`jnl`	Reinforced Inverse Scattering. SIAM J. Sci. Comput. Hanyang Jiang, Yuehaw Khoo, Haizhao Yang
2024	J	`jnl`	Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method. CoRR Gareth Hardwick, Senwei Liang, Haizhao Yang
2024	J	`jnl`	Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networks. CoRR Ke Chen, Chugang Yi, Haizhao Yang
2024	J	`jnl`	Vertex Exchange Method for a Class of Quadratic Programming Problems. CoRR Ling Liang, Kim-Chuan Toh, Haizhao Yang
2024	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? Trans. Mach. Learn. Res. Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Shaofeng Zou, Fei Miao
2023	J	`jnl`	A Finite Expression Method for Solving High-Dimensional Committor Problems. CoRR Zezheng Song, Maria K. Cameron, Haizhao Yang
2023	J	`jnl`	Convergence Analysis of the Deep Galerkin Method for Weak Solutions. CoRR Yuling Jiao, Yanming Lai, Yang Wang, Haizhao Yang, Yunfei Yang
2023	J	`jnl`	Deep Learning via Neural Energy Descent. CoRR Wenrui Hao, Chunmei Wang, Xingjian Xu, Haizhao Yang
2023	J	`jnl`	Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. CoRR Ke Chen, Chunmei Wang, Haizhao Yang
2023	J	`jnl`	Deep Operator Learning Lessens the Curse of Dimensionality for PDEs. Trans. Mach. Learn. Res. Ke Chen, Chunmei Wang, Haizhao Yang
2023	J	`jnl`	Finite Expression Methods for Discovering Physical Laws from Data. CoRR Zhongyi Jiang, Chunmei Wang, Haizhao Yang
2023	J	`jnl`	Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning. SIAM J. Sci. Comput. Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang
2023	J	`jnl`	Nearly Optimal Approximation Rates for Deep Super ReLU Networks on Sobolev Spaces. CoRR Yahong Yang, Yue Wu, Haizhao Yang, Yang Xiang
2023	A*	`conf`	Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. NeurIPS Yahong Yang, Haizhao Yang, Yang Xiang
2023	J	`jnl`	Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives. CoRR Yahong Yang, Haizhao Yang, Yang Xiang
2023	J	`jnl`	Neural Network Approximation for Pessimistic Offline Reinforcement Learning. CoRR Di Wu, Yuling Jiao, Li Shen, Haizhao Yang, Xiliang Lu
2023	J	`jnl`	On the convergence of orthogonalization-free conjugate gradient method for extreme eigenvalues of Hermitian matrices: a Riemannian optimization interpretation. CoRR Shixin Zheng, Haizhao Yang, Xiangxiong Zhang
2023	J	`jnl`	Spectral Clustering via Orthogonalization-Free Methods. CoRR Qiyuan Pang, Haizhao Yang
2023	J	`jnl`	Stationary Density Estimation of Itô Diffusions Using Deep Learning. SIAM J. Numer. Anal. Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
2023	J	`jnl`	let data talk: data-regularized operator learning theory for inverse problems. CoRR Ke Chen, Chunmei Wang, Haizhao Yang
2022	J	`jnl`	A Distributed Block Chebyshev-Davidson Algorithm for Parallel Spectral Clustering. CoRR Qiyuan Pang, Haizhao Yang
2022	J	`jnl`	A Fast Petrov-Galerkin Spectral Method for the Multidimensional Boltzmann Equation Using Mapped Chebyshev Functions. SIAM J. Sci. Comput. Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang
2022	J	`jnl`	Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, Liang Lin
2022	J	`jnl`	Connecting Optimization and Generalization via Gradient Flow Path Length. CoRR Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li
2022	A*	`conf`	Deep Network Approximation in Terms of Intrinsic Parameters. ICML Zuowei Shen, Haizhao Yang, Shijun Zhang
2022	J	`jnl`	Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. J. Mach. Learn. Res. Shijun Zhang, Zuowei Shen, Haizhao Yang
2022	J	`jnl`	Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces. CoRR Hao Liu, Haizhao Yang, Minshuo Chen, Tuo Zhao, Wenjing Liao
2022	J	`jnl`	Finite Expression Method for Solving High-Dimensional Partial Differential Equations. CoRR Senwei Liang, Haizhao Yang
2022	J	`jnl`	From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality. Trans. Mach. Learn. Res. Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li
2022	J	`jnl`	IAE-Net: Integral Autoencoders for Discretization-Invariant Learning. CoRR Yong Zheng Ong, Zuowei Shen, Haizhao Yang
2022	J	`jnl`	Integral Autoencoder Network for Discretization-Invariant Learning. J. Mach. Learn. Res. Yong Zheng Ong, Zuowei Shen, Haizhao Yang
2022	J	`jnl`	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. Yihui Tu, Qiyuan Pang, Haizhao Yang, Zhenli Xu
2022	A*	`conf`	Neural Network Architecture Beyond Width and Depth. NeurIPS Shijun Zhang, Zuowei Shen, Haizhao Yang
2022	J	`jnl`	Neural Network Architecture Beyond Width and Depth. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2022	J	`jnl`	Reinforced Inverse Scattering. CoRR Hanyang Jiang, Yuehaw Khoo, Haizhao Yang
2022	J	`jnl`	Simultaneous neural network approximation for smooth functions. Neural Networks Sean Y. Hon, Haizhao Yang
2022	J	`jnl`	The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. SIAM J. Numer. Anal. Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
2022	J	`jnl`	The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
2022	J	`jnl`	What is the Solution for State-Adversarial Multi-Agent Reinforcement Learning? CoRR Songyang Han, Sanbao Su, Sihong He, Shuo Han, Haizhao Yang, Fei Miao
2021	J	`jnl`	A fast Petrov-Galerkin spectral method for the multi-dimensional Boltzmann equation using mapped Chebyshev functions. CoRR Jingwei Hu, Xiaodong Huang, Jie Shen, Haizhao Yang
2021	—	`conf`	Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Blending Pruning Criteria for Convolutional Neural Networks. CoRR Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Deep Network Approximation for Smooth Functions. SIAM J. Math. Anal. Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Deep Network Approximation: Achieving Arbitrary Accuracy with Fixed Number of Neurons. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Deep Network With Approximation Error Being Reciprocal of Width to Power of Square Root of Depth. Neural Comput. Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Machine learning for prediction with missing dynamics. J. Comput. Phys. John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs. CoRR Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang
2021	J	`jnl`	Neural network approximation: Three hidden layers are enough. Neural Networks Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Optimal Approximation Rate of ReLU Networks in terms of Width and Depth. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. SIAM J. Sci. Comput. James Bremer, Ze Chen, Haizhao Yang
2021	J	`jnl`	ReLU Network Approximation in Terms of Intrinsic Parameters. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2021	J	`jnl`	Reproducing Activation Function for Deep Learning. CoRR Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang
2021	J	`jnl`	SelectNet: Self-paced learning for high-dimensional partial differential equations. J. Comput. Phys. Yiqi Gu, Haizhao Yang, Chao Zhou
2021	J	`jnl`	Simultaneous Neural Network Approximations in Sobolev Spaces. CoRR Sean Y. Hon, Haizhao Yang
2021	J	`jnl`	Solving PDEs on Unknown Manifolds with Machine Learning. CoRR Senwei Liang, Shixiao W. Jiang, John Harlim, Haizhao Yang
2021	J	`jnl`	Stationary Density Estimation of Itô Diffusions Using Deep Learning. CoRR Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Structure probing neural network deflation. J. Comput. Phys. Yiqi Gu, Chunmei Wang, Haizhao Yang
2021	J	`jnl`	The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation. CoRR Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou
2020	J	`jnl`	A Fast Algorithm for Multiresolution Mode Decomposition. Multiscale Model. Simul. Gao Tang, Haizhao Yang
2020	J	`jnl`	A hierarchical butterfly LU preconditioner for two-dimensional electromagnetic scattering problems involving open surfaces. J. Comput. Phys. Yang Liu, Haizhao Yang
2020	A*	`conf`	DIANet: Dense-and-Implicit Attention Network. AAAI Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2020	J	`jnl`	Deep Network Approximation for Smooth Functions. CoRR Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang
2020	J	`jnl`	Deep Network Approximation with Discrepancy Being Reciprocal of Width to Power of Depth. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2020	J	`jnl`	Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
2020	J	`jnl`	Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. Neural Networks Hadrien Montanelli, Haizhao Yang
2020	J	`jnl`	Frequency-chirprate reassignment. Digit. Signal Process. Xiangxiang Zhu, Haizhao Yang, Zhuosheng Zhang, Jinghuai Gao, Naihao Liu
2020	J	`jnl`	Friedrichs Learning: Weak Solutions of Partial Differential Equations via Deep Learning. CoRR Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang
2020	A*	`conf`	Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
2020	J	`jnl`	Int-Deep: A deep learning initialized iterative method for nonlinear problems. J. Comput. Phys. Jianguo Huang, Haoqin Wang, Haizhao Yang
2020	J	`jnl`	Interpolative Decomposition Butterfly Factorization. SIAM J. Sci. Comput. Qiyuan Pang, Kenneth L. Ho, Haizhao Yang
2020	J	`jnl`	Multidimensional phase recovery and interpolative decomposition butterfly factorization. J. Comput. Phys. Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang
2020	J	`jnl`	Neural Network Approximation: Three Hidden Layers Are Enough. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2020	J	`jnl`	Rapid Application of the Spherical Harmonic Transform via Interpolative Decomposition Butterfly Factorization. CoRR James Bremer, Ze Chen, Haizhao Yang
2020	—	`conf`	SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. MSML Yunru Liu, Tingran Gao, Haizhao Yang
2020	J	`jnl`	SelectNet: Self-paced Learning for High-dimensional Partial Differential Equations. CoRR Yiqi Gu, Haizhao Yang, Chao Zhou
2020	J	`jnl`	Structure Probing Neural Network Deflation. CoRR Yiqi Gu, Chunmei Wang, Haizhao Yang
2020	J	`jnl`	Two-Layer Neural Networks for Partial Differential Equations: Optimization and Generalization Theory. CoRR Tao Luo, Haizhao Yang
2019	J	`jnl`	A unified framework for oscillatory integral transforms: When to use NUFFT or butterfly factorization? J. Comput. Phys. Haizhao Yang
2019	J	`jnl`	CASS: Cross Adversarial Source Separation via Autoencoder. CoRR Yong Zheng Ong, Charles K. Chui, Haizhao Yang
2019	J	`jnl`	DIANet: Dense-and-Implicit Attention Network. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2019	J	`jnl`	Deep Network Approximation Characterized by Number of Neurons. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2019	J	`jnl`	Error bounds for deep ReLU networks using the Kolmogorov-Arnold superposition theorem. CoRR Hadrien Montanelli, Haizhao Yang
2019	J	`jnl`	Generative Imaging and Image Processing via Generative Encoder. CoRR Lin Chen, Haizhao Yang
2019	J	`jnl`	Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
2019	J	`jnl`	Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems. CoRR Jianguo Huang, Haoqin Wang, Haizhao Yang
2019	J	`jnl`	Machine Learning for Prediction with Missing Dynamics. CoRR John Harlim, Shixiao W. Jiang, Senwei Liang, Haizhao Yang
2019	J	`jnl`	Multidimensional Phase Recovery and Interpolative Decomposition Butterfly Factorization. CoRR Ze Chen, Juan Zhang, Kenneth L. Ho, Haizhao Yang
2019	J	`jnl`	Nonlinear Approximation via Compositions. CoRR Zuowei Shen, Haizhao Yang, Shijun Zhang
2019	J	`jnl`	Nonlinear approximation via compositions. Neural Networks Zuowei Shen, Haizhao Yang, Shijun Zhang
2019	J	`jnl`	SelectNet: Learning to Sample from the Wild for Imbalanced Data Training. CoRR Yunru Liu, Tingran Gao, Haizhao Yang
2018	J	`jnl`	Diffusion Forecasting Model with Basis Functions from QR-Decomposition. J. Nonlinear Sci. John Harlim, Haizhao Yang
2018	J	`jnl`	Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization. CoRR Senwei Liang, Yuehaw Khoo, Haizhao Yang
2018	J	`jnl`	ELSI: A unified software interface for Kohn-Sham electronic structure solvers. Comput. Phys. Commun. 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
2018	J	`jnl`	Non-Oscillatory Pattern Learning for Non-Stationary Signals. CoRR Jieren Xu, Yitong Li, David B. Dunson, Ingrid Daubechies, Haizhao Yang
2018	J	`jnl`	Phase-Space Sketching for Crystal Image Analysis Based on Synchrosqueezed Transforms. SIAM J. Imaging Sci. Jianfeng Lu, Haizhao Yang
2018	J	`jnl`	Recursive Diffeomorphism-Based Regression for Shape Functions. SIAM J. Math. Anal. Jieren Xu, Haizhao Yang, Ingrid Daubechies
2017	J	`jnl`	A cubic scaling algorithm for excited states calculations in particle-particle random phase approximation. J. Comput. Phys. Jianfeng Lu, Haizhao Yang
2017	J	`jnl`	Interpolative Butterfly Factorization. SIAM J. Sci. Comput. Yingzhou Li, Haizhao Yang
2017	J	`jnl`	Preconditioning Orbital Minimization Method for Planewave Discretization. Multiscale Model. Simul. Jianfeng Lu, Haizhao Yang
2017	J	`jnl`	Removal of Canvas Patterns in Digital Acquisitions of Paintings. IEEE Trans. Image Process. Bruno Cornelis, Haizhao Yang, Alex Goodfriend, Noelle Ocon, Jianfeng Lu, Ingrid Daubechies
2017	J	`jnl`	Spectrum Slicing for Sparse Hermitian Definite Matrices Based on Zolotarev's Functions. CoRR Yingzhou Li, Haizhao Yang
2016	J	`jnl`	Recursive Diffeomorphism-Based Regression for Shape Functions. CoRR Jieren Xu, Haizhao Yang, Ingrid Daubechies
2015	J	`jnl`	A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators. Multiscale Model. Simul. Yingzhou Li, Haizhao Yang, Lexing Ying
2015	J	`jnl`	Butterfly Factorization. Multiscale Model. Simul. Yingzhou Li, Haizhao Yang, Eileen R. Martin, Kenneth L. Ho, Lexing Ying
2015	J	`jnl`	Crystal Image Analysis Using 2D Synchrosqueezed Transforms. Multiscale Model. Simul. Haizhao Yang, Jianfeng Lu, Lexing Ying
2015	J	`jnl`	Quantitative Canvas Weave Analysis Using 2-D Synchrosqueezed Transforms: Application of time-frequency analysis to art investigation. IEEE Signal Process. Mag. Haizhao Yang, Jianfeng Lu, William P. Brown, Ingrid Daubechies, Lexing Ying
2014	J	`jnl`	Synchrosqueezed Curvelet Transform for Two-Dimensional Mode Decomposition. SIAM J. Math. Anal. Haizhao Yang, Lexing Ying
2013	J	`jnl`	Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition. SIAM J. Imaging Sci. Haizhao Yang, Lexing Ying