xueyu zhu

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Jan S HesthavenProfessor of Mathematics and Provost, Ecole Polytechnique Federale de Lausanne (EPFL)Dirección de correo verificada de epfl.ch
Yijie ZhangXi'an Jiaotong UniversityDirección de correo verificada de mail.xjtu.edu.cn
Dongbin XiuProfessor of Mathematics, The Ohio State UniversityDirección de correo verificada de osu.edu
Liu Liu (刘鎏)Department of Mathematics, The Chinese University of Hong KongDirección de correo verificada de math.cuhk.edu.hk
Lorenzo PareschiHeriot-Watt University, Edinburgh and University of FerraraDirección de correo verificada de hw.ac.uk
Xiu Yang 杨修Department of Industrial and Systems Engineering, Lehigh UniversityDirección de correo verificada de lehigh.edu
Akil NarayanUniversity of UtahDirección de correo verificada de sci.utah.edu
Shun ZhangDepartment of Mathematics, City University of Hong KongDirección de correo verificada de cityu.edu.hk
Yanlai ChenProfessor of Mathematics, University of Massachusetts DartmouthDirección de correo verificada de umassd.edu
madayProfesseur de mathématiques appliquées, Université Pierre et Marie Curie, Laboratoire J.-L. LionsDirección de correo verificada de ann.jussieu.fr
Jian-Xun WangRobert W. Huether Collegiate Assoc. Professor, University of Notre DameDirección de correo verificada de nd.edu
Peng Wang (Koby)Beihang UniversityDirección de correo verificada de buaa.edu.cn
Li JingZhejiang LabDirección de correo verificada de zhejianglab.com
Xinghui ZhongZhejiang UniversityDirección de correo verificada de zju.edu.cn

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xueyu zhu

Associate Professor, Department of Mathematics, University of Iowa

Dirección de correo verificada de uiowa.edu - Página principal

numerical analysis scientific computing model reduction uncertainty quantification scientific machine learning


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Computational aspects of stochastic collocation with multi-fidelity models X Zhu, A Narayan, D Xiu SIAM/ASA J. Uncertainty Quantification 2 (1), 444–463, 2014	97	2014
Asymptotic preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings S Jin, D Xiu, X Zhu Journal of Computational physics, 2014	68	2014
On the use of reduced basis methods to accelerate and stabilize the Parareal method F Chen, JS Hesthaven, X Zhu Reduced Order Methods for Modeling and Computational Reduction, Vol. 9, 2013	54	2013
High-order multiscale finite element method for elliptic problems JS Hesthaven, S Zhang, X Zhu SIAM Multiscale Modeling & Simulation 12 (2), 650-666, 2014	50*	2014
Solver-informed neural networks for spectrum reconstruction of colloidal quantum dot spectrometers J Zhang, X Zhu, J Bao Optics Express 28 (22), 33656-33672, 2020	43	2020
A well-balanced stochastic Galerkin method for scalar hyperbolic balance laws with random imputs S Jin, D Xiu, X Zhu Journal of Scientific Computing, 2016	42	2016
Seismic inversion based on acoustic wave equations using physics-informed neural network Y Zhang, X Zhu, J Gao IEEE transactions on geoscience and remote sensing 61, 1-11, 2023	39	2023
Multi-fidelity stochastic collocation method for computation of statistical moments X Zhu, EM Linebarger, D Xiu Journal of Computational Physics 341, 386-396, 2017	39	2017
Nonnegativity-Enforced Gaussian Process Regression A Pensoneault, X Yang, X Zhu Theoretical and Applied Mechanics Letters, 2020	36	2020
Certified reduced basis method for electromagnetic scattering and radar cross section estimation Y Chen, JS Hesthaven, Y Maday, J Rodríguez, X Zhu Computer methods in applied mechanics and engineering 233, 92-108, 2012	35	2012
Denoising autoencoder aided spectrum reconstruction for colloidal quantum dot spectrometers J Zhang, X Zhu, J Bao IEEE Sensors, 2020	33	2020
Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification S Li, X Zhu, Y Liu, J Bao IEEE Access 7 (1), 61534, 2019	29	2019
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification L Simin, X Zhu, B Jie Sensors 19 (7), 1714, 2019	28	2019
Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws K Shahbazi, JS Hesthaven, X Zhu Journal of Computational Physics, 2013	25	2013
A Bi-fidelity Surrogate Modeling Approach for Uncertainty Propagation in Three-Dimensional Hemodynamic Simulations H Gao, X Zhu, JX Wang Computer Methods in Applied Mechanics and Engineering, 2019	24	2019
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread G Bertaglia, C Lu, L Pareschi, X Zhu https://arxiv.org/abs/2206.12625, 2022	23	2022
Reduced basis multiscale finite element methods for elliptic problems J Hesthaven, S Zhang, X Zhu SIAM multiscale modeling and simulation 13 (1), 316–337, 2015	23	2015
When bifidelity meets cokriging: An efficient physics-informed multifidelity method X Yang, X Zhu, J Li SIAM Journal on Scientific Computing 42 (1), A220-A249, 2020	22	2020
Bayesian physics-informed neural networks for the subsurface tomography based on the eikonal equation R Gou, Y Zhang, X Zhu, J Gao IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023	21*	2023
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties G Bertaglia, L Liu, L Pareschi, X Zhu Networks and Heterogeneous Media, 2022	19	2022

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