Haizhao Yang - RankMe

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

Year

Rank

Type

Title / Venue / Authors

2026

jnl

AutoNumerics: An Autonomous, PDE-Agnostic Multi-Agent Pipeline for Scientific Computing.

CoRR

Jianda Du, Youran Sun, Haizhao Yang

2026

jnl

DRIFT: Detecting Representational Inconsistencies for Factual Truthfulness.

CoRR

Rohan Bhatnagar, Youran Sun, Chi Andrew Zhang, Yixin Wen, Haizhao Yang

2026

jnl

Data Completion for Electrical Impedance Tomography by Conditional Diffusion Models.

CoRR

Ke Chen, Haizhao Yang, Chugang Yi

2026

jnl

Manifold-based Sampling for In-Context Hallucination Detection in Large Language Models.

CoRR

Bodla Krishna Vamshi, Rohan Bhatnagar, Haizhao Yang

2026

jnl

Non-Uniform Quantum Fourier Transform.

CoRR

Junaid Aftab, Yuehaw Khoo, Haizhao Yang

2026

jnl

Principal Prototype Analysis on Manifold for Interpretable Reinforcement Learning.

CoRR

Bodla Krishna Vamshi, Haizhao Yang

2026

jnl

ReSearch: A Multi-Stage Machine Learning Framework for Earth Science Data Discovery.

CoRR

Youran Sun, Yixin Wen, Haizhao Yang

2025

jnl

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

SIAM J. Sci. Comput.

Zezheng Song, Maria K. Cameron, Haizhao Yang

2025

jnl

Curse of Dimensionality in Neural Network Optimization.

CoRR

Sanghoon Na, Haizhao Yang

2025

jnl

Efficient Kilometer-Scale Precipitation Downscaling with Conditional Wavelet Diffusion.

CoRR

Chugang Yi, Minghan Yu, Weikang Qian, Yixin Wen, Haizhao Yang

2025

jnl

Error analysis for learning the time-stepping operator of evolutionary PDEs.

CoRR

Ke Chen, Meenakshi Krishnan, Haizhao Yang

2025

jnl

FMint-SDE: A Multimodal Foundation Model for Accelerating Numerical Simulation of SDEs via Error Correction.

CoRR

Jiaxin Yuan, Haizhao Yang, Maria Cameron

2025

jnl

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

J. Mach. Learn. Res.

Senwei Liang, Haizhao Yang

2025

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

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

jnl

Multi-Scale Finite Expression Method for PDEs with Oscillatory Solutions on Complex Domains.

CoRR

Gareth Hardwick, Haizhao Yang

2025

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

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

jnl

OptimAI: Optimization from Natural Language Using LLM-Powered AI Agents.

CoRR

Raghav Thind, Youran Sun, Ling Liang, Haizhao Yang

2025

jnl

PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport.

CoRR

Di Wu, Ling Liang, Haizhao Yang

2025

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

jnl

Protocode: Prototype-Driven Interpretability for Code Generation in LLMs.

CoRR

Krishna Vamshi Bodla, Haizhao Yang

2025

jnl

Quantum Circuit Encodings of Polynomial Chaos Expansions.

CoRR

Junaid Aftab, Christoph Schwab, Haizhao Yang, Jakob Zech

2025

jnl

Solving high-dimensional partial integral differential equations: The finite expression method.

J. Comput. Phys.

Gareth Hardwick, Senwei Liang, Haizhao Yang

2024

jnl

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

J. Sci. Comput.

Qiyuan Pang, Haizhao Yang

2024

jnl

Accelerating Multi-Block Constrained Optimization Through Learning to Optimize.

CoRR

Ling Liang, Cameron Austin, Haizhao Yang

2024

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

jnl

FMint: Bridging Human Designed and Data Pretrained Models for Differential Equation Foundation Model.

CoRR

Zezheng Song, Jiaxin Yuan, Haizhao Yang

2024

jnl

Finite Expression Method for Learning Dynamics on Complex Networks.

CoRR

Zezheng Song, Chunmei Wang, Haizhao Yang

2024

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

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

conf

Neural Network Approximation for Pessimistic Offline Reinforcement Learning.

AAAI

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

2024

jnl

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

CoRR

Ling Liang, Haizhao Yang

2024

jnl

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

Trans. Mach. Learn. Res.

Ling Liang, Haizhao Yang

2024

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

jnl

Optimal Neural Network Approximation for High-Dimensional Continuous Functions.

CoRR

Ayan Maiti, Michelle Michelle, Haizhao Yang

2024

jnl

Reinforced Inverse Scattering.

SIAM J. Sci. Comput.

Hanyang Jiang, Yuehaw Khoo, Haizhao Yang

2024

jnl

Solving High-Dimensional Partial Integral Differential Equations: The Finite Expression Method.

CoRR

Gareth Hardwick, Senwei Liang, Haizhao Yang

2024

jnl

Towards Better Generalization: Weight Decay Induces Low-rank Bias for Neural Networks.

CoRR

Ke Chen, Chugang Yi, Haizhao Yang

2024

jnl

Vertex Exchange Method for a Class of Quadratic Programming Problems.

CoRR

Ling Liang, Kim-Chuan Toh, Haizhao Yang

2024

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

jnl

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

CoRR

Zezheng Song, Maria K. Cameron, Haizhao Yang

2023

jnl

Convergence Analysis of the Deep Galerkin Method for Weak Solutions.

CoRR

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

2023

jnl

Deep Learning via Neural Energy Descent.

CoRR

Wenrui Hao, Chunmei Wang, Xingjian Xu, Haizhao Yang

2023

jnl

Deep Operator Learning Lessens the Curse of Dimensionality for PDEs.

CoRR

Ke Chen, Chunmei Wang, Haizhao Yang

2023

jnl

Deep Operator Learning Lessens the Curse of Dimensionality for PDEs.

Trans. Mach. Learn. Res.

Ke Chen, Chunmei Wang, Haizhao Yang

2023

jnl

Finite Expression Methods for Discovering Physical Laws from Data.

CoRR

Zhongyi Jiang, Chunmei Wang, Haizhao Yang

2023

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

jnl

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

CoRR

Yahong Yang, Yue Wu, Haizhao Yang, Yang Xiang

2023

conf

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

NeurIPS

Yahong Yang, Haizhao Yang, Yang Xiang

2023

jnl

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

CoRR

Yahong Yang, Haizhao Yang, Yang Xiang

2023

jnl

Neural Network Approximation for Pessimistic Offline Reinforcement Learning.

CoRR

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

2023

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

jnl

Spectral Clustering via Orthogonalization-Free Methods.

CoRR

Qiyuan Pang, Haizhao Yang

2023

jnl

Stationary Density Estimation of Itô Diffusions Using Deep Learning.

SIAM J. Numer. Anal.

Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang

2023

jnl

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

CoRR

Ke Chen, Chunmei Wang, Haizhao Yang

2022

jnl

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

CoRR

Qiyuan Pang, Haizhao Yang

2022

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

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

jnl

Connecting Optimization and Generalization via Gradient Flow Path Length.

CoRR

Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li

2022

conf

Deep Network Approximation in Terms of Intrinsic Parameters.

ICML

Zuowei Shen, Haizhao Yang, Shijun Zhang

2022

jnl

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

J. Mach. Learn. Res.

Shijun Zhang, Zuowei Shen, Haizhao Yang

2022

jnl

Deep Nonparametric Estimation of Operators between Infinite Dimensional Spaces.

CoRR

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

2022

jnl

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

CoRR

Senwei Liang, Haizhao Yang

2022

jnl

From Optimization Dynamics to Generalization Bounds via Łojasiewicz Gradient Inequality.

Trans. Mach. Learn. Res.

Fusheng Liu, Haizhao Yang, Soufiane Hayou, Qianxiao Li

2022

jnl

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

CoRR

Yong Zheng Ong, Zuowei Shen, Haizhao Yang

2022

jnl

Integral Autoencoder Network for Discretization-Invariant Learning.

J. Mach. Learn. Res.

Yong Zheng Ong, Zuowei Shen, Haizhao Yang

2022

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

conf

Neural Network Architecture Beyond Width and Depth.

NeurIPS

Shijun Zhang, Zuowei Shen, Haizhao Yang

2022

jnl

Neural Network Architecture Beyond Width and Depth.

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2022

jnl

Reinforced Inverse Scattering.

CoRR

Hanyang Jiang, Yuehaw Khoo, Haizhao Yang

2022

jnl

Simultaneous neural network approximation for smooth functions.

Neural Networks

Sean Y. Hon, Haizhao Yang

2022

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

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

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

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

jnl

Blending Pruning Criteria for Convolutional Neural Networks.

CoRR

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

2021

jnl

Deep Network Approximation for Smooth Functions.

SIAM J. Math. Anal.

Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang

2021

jnl

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

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2021

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

jnl

Machine learning for prediction with missing dynamics.

J. Comput. Phys.

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

2021

jnl

Multiscale and Nonlocal Learning for PDEs using Densely Connected RNNs.

CoRR

Ricardo A. Delgadillo, Jingwei Hu, Haizhao Yang

2021

jnl

Neural network approximation: Three hidden layers are enough.

Neural Networks

Zuowei Shen, Haizhao Yang, Shijun Zhang

2021

jnl

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

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2021

jnl

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

SIAM J. Sci. Comput.

James Bremer, Ze Chen, Haizhao Yang

2021

jnl

ReLU Network Approximation in Terms of Intrinsic Parameters.

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2021

jnl

Reproducing Activation Function for Deep Learning.

CoRR

Senwei Liang, Liyao Lyu, Chunmei Wang, Haizhao Yang

2021

jnl

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

J. Comput. Phys.

Yiqi Gu, Haizhao Yang, Chao Zhou

2021

jnl

Simultaneous Neural Network Approximations in Sobolev Spaces.

CoRR

Sean Y. Hon, Haizhao Yang

2021

jnl

Solving PDEs on Unknown Manifolds with Machine Learning.

CoRR

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

2021

jnl

Stationary Density Estimation of Itô Diffusions Using Deep Learning.

CoRR

Yiqi Gu, John Harlim, Senwei Liang, Haizhao Yang

2021

jnl

Structure probing neural network deflation.

J. Comput. Phys.

Yiqi Gu, Chunmei Wang, Haizhao Yang

2021

jnl

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

CoRR

Qiang Du, Yiqi Gu, Haizhao Yang, Chao Zhou

2020

jnl

A Fast Algorithm for Multiresolution Mode Decomposition.

Multiscale Model. Simul.

Gao Tang, Haizhao Yang

2020

jnl

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

J. Comput. Phys.

Yang Liu, Haizhao Yang

2020

conf

DIANet: Dense-and-Implicit Attention Network.

AAAI

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

2020

jnl

Deep Network Approximation for Smooth Functions.

CoRR

Jianfeng Lu, Zuowei Shen, Haizhao Yang, Shijun Zhang

2020

jnl

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

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2020

jnl

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

CoRR

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

2020

jnl

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

Neural Networks

Hadrien Montanelli, Haizhao Yang

2020

jnl

Frequency-chirprate reassignment.

Digit. Signal Process.

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

2020

jnl

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

CoRR

Fan Chen, Jianguo Huang, Chunmei Wang, Haizhao Yang

2020

conf

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

AAAI

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

2020

jnl

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

J. Comput. Phys.

Jianguo Huang, Haoqin Wang, Haizhao Yang

2020

jnl

Interpolative Decomposition Butterfly Factorization.

SIAM J. Sci. Comput.

Qiyuan Pang, Kenneth L. Ho, Haizhao Yang

2020

jnl

Multidimensional phase recovery and interpolative decomposition butterfly factorization.

J. Comput. Phys.

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

2020

jnl

Neural Network Approximation: Three Hidden Layers Are Enough.

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2020

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

jnl

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

CoRR

Yiqi Gu, Haizhao Yang, Chao Zhou

2020

jnl

Structure Probing Neural Network Deflation.

CoRR

Yiqi Gu, Chunmei Wang, Haizhao Yang

2020

jnl

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

CoRR

Tao Luo, Haizhao Yang

2019

jnl

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

J. Comput. Phys.

Haizhao Yang

2019

jnl

CASS: Cross Adversarial Source Separation via Autoencoder.

CoRR

Yong Zheng Ong, Charles K. Chui, Haizhao Yang

2019

jnl

DIANet: Dense-and-Implicit Attention Network.

CoRR

Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang

2019

jnl

Deep Network Approximation Characterized by Number of Neurons.

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2019

jnl

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

CoRR

Hadrien Montanelli, Haizhao Yang

2019

jnl

Generative Imaging and Image Processing via Generative Encoder.

CoRR

Lin Chen, Haizhao Yang

2019

jnl

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

CoRR

Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang

2019

jnl

Int-Deep: A Deep Learning Initialized Iterative Method for Nonlinear Problems.

CoRR

Jianguo Huang, Haoqin Wang, Haizhao Yang

2019

jnl

Machine Learning for Prediction with Missing Dynamics.

CoRR

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

2019

jnl

Multidimensional Phase Recovery and Interpolative Decomposition Butterfly Factorization.

CoRR

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

2019

jnl

Nonlinear Approximation via Compositions.

CoRR

Zuowei Shen, Haizhao Yang, Shijun Zhang

2019

jnl

Nonlinear approximation via compositions.

Neural Networks

Zuowei Shen, Haizhao Yang, Shijun Zhang

2019

jnl

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

CoRR

Yunru Liu, Tingran Gao, Haizhao Yang

2018

jnl

Diffusion Forecasting Model with Basis Functions from QR-Decomposition.

J. Nonlinear Sci.

John Harlim, Haizhao Yang

2018

jnl

Drop-Activation: Implicit Parameter Reduction and Harmonic Regularization.

CoRR

Senwei Liang, Yuehaw Khoo, Haizhao Yang

2018

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

jnl

Non-Oscillatory Pattern Learning for Non-Stationary Signals.

CoRR

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

2018

jnl

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

SIAM J. Imaging Sci.

Jianfeng Lu, Haizhao Yang

2018

jnl

Recursive Diffeomorphism-Based Regression for Shape Functions.

SIAM J. Math. Anal.

Jieren Xu, Haizhao Yang, Ingrid Daubechies

2017

jnl

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

J. Comput. Phys.

Jianfeng Lu, Haizhao Yang

2017

jnl

Interpolative Butterfly Factorization.

SIAM J. Sci. Comput.

Yingzhou Li, Haizhao Yang

2017

jnl

Preconditioning Orbital Minimization Method for Planewave Discretization.

Multiscale Model. Simul.

Jianfeng Lu, Haizhao Yang

2017

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

jnl

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

CoRR

Yingzhou Li, Haizhao Yang

2016

jnl

Recursive Diffeomorphism-Based Regression for Shape Functions.

CoRR

Jieren Xu, Haizhao Yang, Ingrid Daubechies

2015

jnl

A Multiscale Butterfly Algorithm for Multidimensional Fourier Integral Operators.

Multiscale Model. Simul.

Yingzhou Li, Haizhao Yang, Lexing Ying

2015

jnl

Butterfly Factorization.

Multiscale Model. Simul.

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

2015

jnl

Crystal Image Analysis Using 2D Synchrosqueezed Transforms.

Multiscale Model. Simul.

Haizhao Yang, Jianfeng Lu, Lexing Ying

2015

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

jnl

Synchrosqueezed Curvelet Transform for Two-Dimensional Mode Decomposition.

SIAM J. Math. Anal.

Haizhao Yang, Lexing Ying

2013

jnl

Synchrosqueezed Wave Packet Transform for 2D Mode Decomposition.

SIAM J. Imaging Sci.

Haizhao Yang, Lexing Ying

Decompile flag: True
Repo: test
Selected modules: all
Dry run mode: True
S3 solo mode: None
Nomad job mode: False
Local mode with path: ../../samples/cmd-x64
Number of CPU cores: 8
Number of parallel processes: 4

Processing batch 1/1
{'decompiled': [{'decompiled_function_hash': 'ea20333c83dac2f3c61287a5e7f918b63d920a65b4459bcc6068abc4502f3372', 'decompiled_function': 'if (arg1 == __security_cookie)\n    int64_t rcx = rol.q(arg1, 0x10)\n    \n    if ((rcx.w & 0xffff) == 0)\n        return \n    \n    arg1 = ror.q(rcx, 0x10)\n\nnoreturn __report_gsfailure(arg1) __tailcall', 'decompiled_function_name': '__security_check_cookie', 'decompiled_function_prototype': 'void __security_check_cookie(int64_t arg1)', 'decompiled_function_address': 1255149568, 'function_type': 'USER', 'functions_caller': ['__security_check_cookie(arg21 ^ &__return_addr)', '__security_check_cookie(arg23 ^ &__return_addr)', '__security_check_cookie(arg22 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg16 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg2 ^ &__return_addr)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(arg11 ^ &__return_addr)', '__security_check_cookie(arg13 ^ &__return_addr)', '__security_check_cookie(arg8 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg2 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg9 ^ &__return_addr)', '__security_check_cookie(arg6 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_98)', '__security_check_cookie(arg10 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_168)', '__security_check_cookie(rax_1 ^ &var_148)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(rax_1 ^ &var_2e8)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_298)', '__security_check_cookie(rax_1 ^ &var_38)', '__security_check_cookie(arg6 ^ &__return_addr)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_928)', '__security_check_cookie(rax_1 ^ &var_48)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_288)', '__security_check_cookie(rax_1 ^ &var_2c8)', '__security_check_cookie(rax_1 ^ &var_48)', '__security_check_cookie(rax_1 ^ &var_6b8)', '__security_check_cookie(rax_1 ^ &var_288)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_1078)', '__security_check_cookie(rax_1 ^ &var_a8)', '__security_check_cookie(rax_1 ^ &var_148)', '__security_check_cookie(result_1 ^ &var_2d8)', '__security_check_cookie(arg17 ^ &__return_addr)', '__security_check_cookie(arg11 ^ &__return_addr)', '__security_check_cookie(arg14 ^ &__return_addr)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(arg6 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_78)', '__security_check_cookie(rax_1 ^ &var_e8)', '__security_check_cookie(rax_1 ^ &var_268)', '__security_check_cookie(arg4 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(rax_1 ^ &var_b8)', '__security_check_cookie(rax_1 ^ &var_2d8)', '__security_check_cookie(rax_1 ^ &var_308)', '__security_check_cookie(rax_1 ^ &var_298)', '__security_check_cookie(arg15 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_78)', '__security_check_cookie(rax_1 ^ &var_af8)', '__security_check_cookie(rax_1 ^ &var_288)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg15 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_318)', '__security_check_cookie(arg4 ^ &__return_addr)', '__security_check_cookie(arg10 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg2 ^ &__return_addr)', '__security_check_cookie(arg18 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg8 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_258)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(rax_1 ^ &var_498)', '__security_check_cookie(var_28 ^ &var_258)', '__security_check_cookie(arg2 ^ &__return_addr)', '__security_check_cookie(arg2 ^ &__return_addr)', '__security_check_cookie(arg8 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_c8)', '__security_check_cookie(rax_1 ^ &var_f48)', '__security_check_cookie(rax_1 ^ &var_448)', '__security_check_cookie(rax_1 ^ &var_2a8)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_a8)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(arg11 ^ &__return_addr)', '__security_check_cookie(arg13 ^ &__return_addr)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_78)', '__security_check_cookie(arg9 ^ &__return_addr)', '__security_check_cookie(arg13 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_218)', '__security_check_cookie(rax_1 ^ &var_4758)', '__security_check_cookie(rax_1 ^ &var_248)', '__security_check_cookie(rax_1 ^ &var_138)', '__security_check_cookie(rax_1 ^ &var_898)', '__security_check_cookie(rax_1 ^ &var_e8)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(rax_1 ^ &var_488)', '__security_check_cookie(rax_1 ^ &var_548)', '__security_check_cookie(rax_1 ^ &var_8e8)', '__security_check_cookie(rax_1 ^ &var_288)', '__security_check_cookie(rax_1 ^ &var_268)', '__security_check_cookie(arg10 ^ &__return_addr)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(arg4 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_1c738)', '__security_check_cookie(arg6 ^ &__return_addr)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg6 ^ &__return_addr)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(arg4 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg10 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg6 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg4 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg7 ^ &__return_addr)', '__security_check_cookie(arg8 ^ &__return_addr)', '__security_check_cookie(arg12 ^ &__return_addr)', '__security_check_cookie(arg15 ^ &__return_addr)', '__security_check_cookie(rax_1 ^ &var_2f8)', '__security_check_cookie(rax_1 ^ &var_2e8)', '__security_check_cookie(rax_1 ^ &var_78)', '__security_check_cookie(rax_1 ^ &var_868)', '__security_check_cookie(rax_1 ^ &var_268)', '__security_check_cookie(rax_1 ^ &var_298)', '__security_check_cookie(rax_1 ^ &var_2b8)', '__security_check_cookie(rax_1 ^ &var_b8)', '__security_check_cookie(var_18 ^ &var_258)', '__security_check_cookie(rax_1 ^ &var_6c8)', '__security_check_cookie(rax_1 ^ &var_388)', '__security_check_cookie(rax_1 ^ &var_ae8)', '__security_check_cookie(rax_1 ^ &var_448)', '__security_check_cookie(rax_1 ^ &var_a8)', '__security_check_cookie(rax_1 ^ &var_38)', '__security_check_cookie(rax_1 ^ &var_458)', '__security_check_cookie(rax_1 ^ &var_78)', '__security_check_cookie(rax_1 ^ &var_48)', '__security_check_cookie(rax_1 ^ &var_4c8)', '__security_check_cookie(rax_1 ^ &var_338)', '__security_check_cookie(rax_1 ^ &var_258)', '__security_check_cookie(rax_1 ^ &var_268)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(rax_1 ^ &var_268)', '__security_check_cookie(rax_1 ^ &var_258)', '__security_check_cookie(rax_1 ^ &var_488)', '__security_check_cookie(rax_1 ^ &var_2c8)', '__security_check_cookie(rax_1 ^ &var_88)', 'return __security_check_cookie(r9 ^ *(sx.q(*arg3 & 0xfffffff8) + r10)) __tailcall', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg11 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)', '__security_check_cookie(arg5 ^ &__return_addr)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(arg2 ^ &__return_addr)', '__security_check_cookie(arg3 ^ &__return_addr)', '__security_check_cookie(arg8 ^ &__return_addr)', '__security_check_cookie(codeProperties.PackagePublisher ^ &var_138)', '__security_check_cookie(rax_1 ^ &var_288)', '__security_check_cookie(rax_1 ^ &var_278)', '__security_check_cookie(arg11 ^ &__return_addr)', '__security_check_cookie(arg1 ^ &__return_addr)'], 'functions_call': ['noreturn __report_gsfailure(arg1) __tailcall'], 'flattened_score': 0.0, 'mba_score': 0.0, 'disassembled_function_hash': '5b10689d81a029bfabb73347691d43c61cc903c211e1978058aaff9b67166164'}, {'decompiled_function_hash': '3a9066191d4aeb616809d5bf796d40e1665a8d2d55a8e1620c40ac40634ae6a1', 'decompiled_function': 'if (arg1 == 0)\n    return \n\nvoid* DHead_1 = DHead\n\nif (DHead_1 == 0)\n    return \n\nint32_t DCount_1 = DCount\n\nif (DCount_1 == 0)\n    return \n\nint64_t entry_r9\n\nif (DHead_1 != arg1 - 0x10)\n    return sub_4ad01327(arg2, DCount_1, arg1 - 0x10, DHead_1, DHead_1, entry_r9) __tailcall\nint64_t rax_1 = *(DHead_1 + 8)\n\nif (DHead_1 != DHead_1)\n    *(arg2 + 8) = rax_1\n    return sub_4ad0108b(DHead_1, arg2) __tailcall\n\nDHead = rax_1\nreturn sub_4ad0108b(DHead_1, arg2) __tailcall', 'decompiled_function_name': 'FreeStr', 'decompiled_function_prototype': 'void FreeStr(int64_t arg1, void* arg2)', 'decompiled_function_address': 1255149632, 'function_type': 'USER', 'functions_caller': ['FreeStr(arg3, entry_rdx)', 'FreeStr(arg2, FreeStr(arg3, entry_rdx))', 'return FreeStr(arg7, entry_rdx) __tailcall', 'FreeStr(var_40_1, rdx_8)', 'FreeStr(_Str_4, rdx)', 'FreeStr(rax, rdx_1)', 'FreeStr(rsi, rdx_2)', 'return FreeStr(r12, rdx) __tailcall', 'FreeStr(r12, PutStdErr(0x233f, 0, r8_1))', 'FreeStr(r12, PutStdErr(0x234f, MB_PRECOMPOSED, &data_4ad33362))', 'FreeStr(r12, PutStdErr(0x233f, 0, r8_4))', 'return FreeStr(lpConsoleTitle_2, rdx_2)', 'FreeStr(rax_19, ExecError(rax_19))', 'FreeStr(rax_8, rdx_5)', 'rcx_3, arg2, arg3, arg4 = FreeStr(rcx_3, arg2)', 'FreeStr(rax_3, rdx_1)', 'return FreeStr(arg5, rdx_2) __tailcall', 'FreeStr(lpFileName, GetDir(&CurDrvDir, 0x104, 0))', 'FreeStr(rax_34, rdx_14)', 'FreeStr(rax_5, rdx_3)', 'FreeStr(arg6, rdx_2)', 'void* rdx_4 = FreeStr(arg5, FreeStr(arg6, rdx_2))', 'FreeStr(rax_1[1], rdx_4)', 'FreeStr(rax_1, FreeStr(rax_1[1], rdx_4))', 'FreeStr(rax, FreeStr(rax_1, FreeStr(rax_1[1], rdx_4)))', 'void* rdx_12 = FreeStr(arg7, rdx_11)', 'void* rdx_13 = FreeStr(arg8, rdx_12)', 'rdx_2 = FreeStr(rax_11, rdx_13)', 'rcx_2, rdx, r8_1 = FreeStr(*(arg3 + 0x28), entry_rdx)', 'void* rdx_1 = FreeStr(arg7[1], arg2)', 'void* rdx_2 = FreeStr(*rbp_1, rdx_1)', 'FreeStr(rbp_1[1], rdx_2)', 'rdx_1 = FreeStr(rbp_1, FreeStr(rbp_1[1], rdx_2))', 'return FreeStr(arg7, rdx_5) __tailcall', 'return FreeStr(arg4, rdx_4) __tailcall', 'entry_r8 = FreeStr(lpConsoleTitle, entry_rdx)', 'r8_2 = FreeStr(lpConsoleTitle, i_1)', 'void* rdx_4 = FreeStr(i[1], rdx_2)', 'void* rdx_5 = FreeStr(*rbp_1, rdx_4)', 'FreeStr(rbp_1[1], rdx_5)', 'rdx_4 = FreeStr(rbp_1, FreeStr(rbp_1[1], rdx_5))', 'rcx_9, rdx_2, r8_2 = FreeStr(*(arg1 + 0x28), rdx)', 'FreeStr(arg2, entry_rdx)', 'FreeStr(rbp_1, rdx_2)', 'rcx_5, rdx_2, r8_1 = FreeStr(rax_3, rdx_1)', 'r8 = FreeStr(arg3, rdx_1)', 'FreeStr(arg1, rdx_2)', 'r8_7, r9_5 = FreeStr(pSecurityDescriptor, rdx_15)', 'FreeStr(rax_24, WriteFmtString(arg3, u"%s", rax_24))', 'FreeStr(rax, rdx_2)', 'void* rdx_8 = FreeStr(i_2[1], rdx_5)', 'void* rdx_9 = FreeStr(*rbp_1, rdx_8)', 'FreeStr(rbp_1[1], rdx_9)', 'rdx_8 = FreeStr(rbp_1, FreeStr(rbp_1[1], rdx_9))', 'FreeStr(i_3, rdx_8)', 'return FreeStr(arg7, rdx_4) __tailcall', 'FreeStr(arg6, rdx_2)', 'rdx_4 = FreeStr(arg5, FreeStr(arg6, rdx_2))', 'void* rdx_14 = FreeStr(i[1], rdx_6)', 'void* rdx_15 = FreeStr(*rbp_2, rdx_14)', 'FreeStr(rbp_2[1], rdx_15)', 'rdx_14 = FreeStr(rbp_2, FreeStr(rbp_2[1], rdx_15))', 'FreeStr(i_1, rdx_14)', 'FreeStr(rax_5, rdx_6)', 'FreeStr(lpFileName, rdx_10)', 'FreeStr(rax_2, rdx_2)', 'FreeStr(rax_2, rdx_4)', 'return FreeStr(lpMultiByteStr, SetErrorMode(uMode))', 'FreeStr(r13, rdx_1)', 'FreeStr(rsi, FreeStr(r13, rdx_1))', 'FreeStr(result, rdx)', 'arg3 = FreeStr(rax_3, rdx_2)', 'FreeStr(rax_7, rdx_7)', 'FreeStr(_Str, FreeStr(rax_7, rdx_7))', 'FreeStr(rsi, rdx_1)', 'FreeStr(r13, FreeStr(rsi, rdx_1))', 'arg3 = FreeStr(rax_5, rdx_1)', 'rdx_6 = FreeStr(rax_12, rdx_10)', 'FreeStr(_Str, rdx_6)', 'FreeStr(rax, rdx)', 'void* rdx_10 = FreeStr(*(rbx_1 + 0x28), rdx_4)', 'FreeStr(*(rbx_1 + 8), rdx_10)', 'FreeStr(rbx_1, FreeStr(*(rbx_1 + 8), rdx_10))', 'FreeStr(result, rdx_2)', 'void* rdx = FreeStr(*(arg2 + 0x30), arg2)', 'FreeStr(*(arg2 + 0x28), rdx)', 'void* rdx = FreeStr(*(arg2 + 0x30), arg2)', 'FreeStr(*(arg2 + 0x38), rdx)', 'FreeStr(*(arg2 + 0x80), arg2)', 'FreeStr(*(arg2 + 0x38), arg2)', 'FreeStr(rax, rdx)'], 'functions_call': ['if (DHead_1 != arg1 - 0x10)', 'return sub_4ad0108b(DHead_1, arg2) __tailcall', 'return sub_4ad0108b(DHead_1, arg2) __tailcall'], 'flattened_score': 0.0, 'mba_score': 0.0, 'disassembled_function_hash': 'c89e8da195a8271f78fca5b2f88789348ba91afb0126487aaaf05c3b93e26f47'}, {'decompiled_function_hash': '072503ee8b108e9b0f14ef3c97de04931ccbb1de86b181bb8798111755122d9f', 'decompiled_function': 'if (arg2 == 0)\n    return sub_4ad035ed() __tailcall\n\nif (GotoFlag != 0)\n    return sub_4ad035ed() __tailcall\n\nif (*arg2 == 0x2d)\n    return sub_4ad035ed() __tailcall\n\nif (fDelayedExpansion != 0)\n    int64_t var_68[0xc]\n    memset(&var_68, 0, 0x60)\n    int32_t rax_4\n    int64_t rcx_2\n    int64_t rdx_1\n    int64_t r8_1\n    rax_4, rcx_2, rdx_1, r8_1 = DelayedEnvVarSub(arg2, &var_68, 0)\n    \n    if (rax_4 != 0)\n        if (fDelayedExpansion != 0 && arg2 != 0)\n            r8_1.b = 1\n            rcx_2, rdx_1, r8_1 = DelayedEnvVarSub(arg2, &var_68, r8_1)\n        \n        return sub_4ad011bc(rcx_2, rdx_1, r8_1) __tailcall\n\nif (arg1 == 1)\n    return sub_4ad0a7c0(arg2, 1) __tailcall\n\nif (*arg2 == 0)\n    return sub_4ad01a28(arg2, 1, arg1) __tailcall\n\nif (*arg2 == 0x33)\n    return sub_4ad01a28(arg2, 1, arg1) __tailcall\n\nif (*arg2 == 0x3b)\n    return sub_4ad01a28(arg2, 1, arg1) __tailcall\n\nif (*arg2 == 0x3c)\n    return sub_4ad01a28(arg2, 1, arg1) __tailcall\n\nif (*arg2 == 0)\n    int32_t rax_16\n    int64_t rcx_13\n    int64_t rdx_10\n    int32_t* rbx_1\n    int64_t r8_9\n    rax_16, rcx_13, rdx_10, rbx_1, r8_9 = FindFixAndRun(arg2)\n    return sub_4ad01182(rcx_13, rdx_10, r8_9, rax_16, rbx_1) __tailcall\n\nint32_t rax_13\nint64_t rcx_9\nint64_t rdx_7\nint64_t r8_7\nrax_13, rcx_9, rdx_7, r8_7 = (&data_4ad37388)[sx.q(*arg2) * 4](arg2)\nreturn sub_4ad01182(rcx_9, rdx_7, r8_7, rax_13, arg2) __tailcall', 'decompiled_function_name': 'Dispatch', 'decompiled_function_prototype': 'int64_t Dispatch(int32_t arg1, int32_t* arg2)', 'decompiled_function_address': 1255149772, 'function_type': 'USER', 'functions_caller': ['result, rcx = Dispatch(0, *(arg1 + 0x70))', 'Dispatch(0, *(arg2 + 0x78))', 'return Dispatch(0, rdx_1)', 'int32_t rax_15 = Dispatch(0, rax_14)', 'Dispatch(0, rax_19)', 'int32_t rax_4 = Dispatch(1, rsi)', 'int32_t rax_8 = Dispatch(1, rbp)', 'Dispatch(0, arg1)', 'int32_t result = Dispatch(0, *(arg1 + 0x70))', 'return Dispatch(0, rdx_1