Daniel Zhengyu Huang

38 papers Journal 38

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Exponential Integration for Stable Gaussian Mixture Black-Box Variational Inference. CoRR Baojun Che, Yifan Chen, Daniel Zhengyu Huang, Xinying Mao, Weijie Wang
2026	J	`jnl`	Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities. SIAM J. Math. Anal. José A. Carrillo, Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Dongyi Wei
2026	J	`jnl`	Geometric Generalization of Neural Operators from Kernel Integral Perspective. CoRR Mingyu Han, Daniel Zhengyu Huang, Yuhan Wang, Yanshu Zhang, Jiayi Zhou
2025	J	`jnl`	Convergence Analysis of Probability Flow ODE for Score-Based Generative Models. IEEE Trans. Inf. Theory Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin
2025	J	`jnl`	Fast Convergence for High-Order ODE Solvers in Diffusion Probabilistic Models. CoRR Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin
2025	J	`jnl`	Improving Monte Carlo Tree Search for Symbolic Regression. CoRR Zhengyao Huang, Daniel Zhengyu Huang, Tiannan Xiao, Dina Ma, Zhenyu Ming, Hao Shi, Yuanhui Wen
2025	J	`jnl`	Point Cloud Neural Operator for Parametric PDEs on Complex and Variable Geometries. CoRR Chenyu Zeng, Yanshu Zhang, Jiayi Zhou, Yuhan Wang, Zilin Wang, Yuhao Liu, Lei Wu, Daniel Zhengyu Huang
2025	J	`jnl`	Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems. CoRR Baojun Che, Yifan Chen, Zhenghao Huan, Daniel Zhengyu Huang, Weijie Wang
2025	J	`jnl`	Stable Derivative Free Gaussian Mixture Variational Inference for Bayesian Inverse Problems. SIAM J. Sci. Comput. Baojun Che, Yifan Chen, Zhenghao Huan, Daniel Zhengyu Huang, Weijie Wang
2024	J	`jnl`	An operator learning perspective on parameter-to-observable maps. CoRR Daniel Zhengyu Huang, Nicholas H. Nelsen, Margaret Trautner
2024	J	`jnl`	Convergence Analysis of Probability Flow ODE for Score-based Generative Models. CoRR Daniel Zhengyu Huang, Jiaoyang Huang, Zhengjiang Lin
2024	J	`jnl`	Efficient, Multimodal, and Derivative-Free Bayesian Inference With Fisher-Rao Gradient Flows. CoRR Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
2024	J	`jnl`	Fisher-Rao Gradient Flow: Geodesic Convexity and Functional Inequalities. CoRR José A. Carrillo, Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Dongyi Wei
2023	J	`jnl`	Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. J. Mach. Learn. Res. Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar
2023	J	`jnl`	Gradient Flows for Sampling: Mean-Field Models, Gaussian Approximations and Affine Invariance. CoRR Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
2023	J	`jnl`	SPFNO: Spectral operator learning for PDEs with Dirichlet and Neumann boundary conditions. CoRR Ziyuan Liu, Yuhang Wu, Daniel Zhengyu Huang, Hong Zhang, Xu Qian, Songhe Song
2023	J	`jnl`	Sampling via Gradient Flows in the Space of Probability Measures. CoRR Yifan Chen, Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
2022	J	`jnl`	Bayesian Spline Learning for Equation Discovery of Nonlinear Dynamics with Quantified Uncertainty. CoRR Luning Sun, Daniel Zhengyu Huang, Hao Sun, Jian-Xun Wang
2022	J	`jnl`	Efficient Derivative-free Bayesian Inference for Large-Scale Inverse Problems. CoRR Daniel Zhengyu Huang, Jiaoyang Huang, Sebastian Reich, Andrew M. Stuart
2022	J	`jnl`	EnsembleKalmanProcesses.jl: Derivative-free ensemble-based model calibration. J. Open Source Softw. Oliver R. A. Dunbar, Ignacio Lopez-Gomez, Alfredo Garbuno-Iñigo, Daniel Zhengyu Huang, Eviatar Bach, Jinlong Wu
2022	J	`jnl`	Fourier Neural Operator with Learned Deformations for PDEs on General Geometries. CoRR Zongyi Li, Daniel Zhengyu Huang, Burigede Liu, Anima Anandkumar
2022	J	`jnl`	Iterated Kalman methodology for inverse problems. J. Comput. Phys. Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart
2022	J	`jnl`	Power Iteration for Tensor PCA. J. Mach. Learn. Res. Jiaoyang Huang, Daniel Zhengyu Huang, Qing Yang, Guang Cheng
2022	J	`jnl`	The Cost-Accuracy Trade-Off In Operator Learning With Neural Networks. CoRR Maarten V. de Hoop, Daniel Zhengyu Huang, Elizabeth Qian, Andrew M. Stuart
2021	J	`jnl`	Bayesian Calibration for Large-Scale Fluid Structure Interaction Problems Under Embedded/Immersed Boundary Framework. CoRR Shunxiang Cao, Daniel Zhengyu Huang
2021	J	`jnl`	Improve Unscented Kalman Inversion With Low-Rank Approximation and Reduced-Order Model. CoRR Daniel Zhengyu Huang, Jiaoyang Huang
2021	J	`jnl`	Learning constitutive relations using symmetric positive definite neural networks. J. Comput. Phys. Kailai Xu, Daniel Zhengyu Huang, Eric Darve
2021	J	`jnl`	Long Random Matrices and Tensor Unfolding. CoRR Gérard Ben Arous, Daniel Zhengyu Huang, Jiaoyang Huang
2021	J	`jnl`	Unscented Kalman Inversion. CoRR Daniel Zhengyu Huang, Tapio Schneider, Andrew M. Stuart
2021	J	`jnl`	Unscented Kalman Inversion: Efficient Gaussian Approximation to the Posterior Distribution. CoRR Daniel Zhengyu Huang, Jiaoyang Huang
2020	J	`jnl`	A computationally tractable framework for nonlinear dynamic multiscale modeling of membrane fabric. CoRR Philip Avery, Daniel Zhengyu Huang, Wanli He, Johanna Ehlers, Armen Derkevorkian, Charbel Farhat
2020	J	`jnl`	High-order partitioned spectral deferred correction solvers for multiphysics problems. J. Comput. Phys. Daniel Zhengyu Huang, Will Pazner, Per-Olof Persson, Matthew J. Zahr
2020	J	`jnl`	Learning Constitutive Relations using Symmetric Positive Definite Neural Networks. CoRR Kailai Xu, Daniel Zhengyu Huang, Eric Darve
2020	J	`jnl`	Learning constitutive relations from indirect observations using deep neural networks. J. Comput. Phys. Daniel Zhengyu Huang, Kailai Xu, Charbel Farhat, Eric Darve
2019	J	`jnl`	An Embedded Boundary Approach for Resolving the Contribution of Cable Subsystems to Fully Coupled Fluid-Structure Interaction. CoRR Daniel Zhengyu Huang, Philip Avery, Charbel Farhat
2019	J	`jnl`	High-order partitioned spectral deferred correction solvers for multiphysics problems. CoRR Daniel Zhengyu Huang, Will Pazner, Per-Olof Persson, Matthew J. Zahr
2019	J	`jnl`	Modeling, simulation and validation of supersonic parachute inflation dynamics during Mars landing. CoRR Daniel Zhengyu Huang, Philip Avery, Charbel Farhat, Jason Rabinovitch, Armen Derkevorkian, Lee D. Peterson
2018	J	`jnl`	A family of position- and orientation-independent embedded boundary methods for viscous flow and fluid-structure interaction problems. J. Comput. Phys. Daniel Zhengyu Huang, Dante De Santis, Charbel Farhat