xueyu zhu

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Jan S HesthavenProfessor of Mathematics and Provost, Ecole Polytechnique Federale de Lausanne (EPFL)Potvrđena adresa e-pošte na epfl.ch
Dongbin XiuProfessor of Mathematics, The Ohio State UniversityPotvrđena adresa e-pošte na osu.edu
Akil NarayanUniversity of UtahPotvrđena adresa e-pošte na sci.utah.edu
Liu Liu (刘鎏)Department of Mathematics, The Chinese University of Hong KongPotvrđena adresa e-pošte na math.cuhk.edu.hk
Xiu Yang 杨修Department of Industrial and Systems Engineering, Lehigh UniversityPotvrđena adresa e-pošte na lehigh.edu
Shun ZhangAssociate Professor of Mathematics, City University of Hong KongPotvrđena adresa e-pošte na cityu.edu.hk
Lorenzo PareschiUniversity of Ferrara, ItalyPotvrđena adresa e-pošte na unife.it
Yanlai ChenProfessor of Mathematics, University of Massachusetts DartmouthPotvrđena adresa e-pošte na umassd.edu
madayProfesseur de mathématiques appliquées, Université Pierre et Marie Curie, Laboratoire J.-L. LionsPotvrđena adresa e-pošte na ann.jussieu.fr
Jian-Xun WangAssistant Professor, Aerospace and Mechanical Engineering, University of Notre DamePotvrđena adresa e-pošte na nd.edu
Yijie ZhangXi'an Jiaotong UniversityPotvrđena adresa e-pošte na mail.xjtu.edu.cn
Peng Wang (Koby)Beihang UniversityPotvrđena adresa e-pošte na buaa.edu.cn
Li JingZhejiang LabPotvrđena adresa e-pošte na zhejianglab.com
Xinghui ZhongZhejiang UniversityPotvrđena adresa e-pošte na zju.edu.cn
Han GaoPh.D. candidate in the University of Notre DamePotvrđena adresa e-pošte na nd.edu

Prati

xueyu zhu

Associate Professor, Department of Mathematics, University of Iowa

Potvrđena adresa e-pošte na uiowa.edu - Početna stranica

numerical analysis scientific computing model reduction uncertainty quantification scientific machine learning


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
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	80	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	56	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	45	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	40*	2014
Multi-fidelity stochastic collocation method for computation of statistical moments X Zhu, EM Linebarger, D Xiu Journal of Computational Physics 341, 386-396, 2017	33	2017
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	33	2016
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	33	2012
Model Reduction Opportunities in Detailed Simulations of Combustion Dynamics R Munipalli, Z Liu, X Zhu, S Menon, JS Hesthaven https://arc.aiaa.org/doi/abs/10.2514/6.2014-0820, 2014	22	2014
Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws K Shahbazi, JS Hesthaven, X Zhu Journal of Computational Physics, 2013	21	2013
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	18	2015
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	17	2019
Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification S Li, X Zhu, Y Liu, J Bao IEEE Access 7 (1), 61534, 2019	16	2019
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification L Simin, X Zhu, B Jie Sensors 19 (7), 1714, 2019	15	2019
Nonnegativity-Enforced Gaussian Process Regression A Pensoneault, X Yang, X Zhu Theoretical and Applied Mechanics Letters, 2020	14	2020
A bi-fidelity method for the multiscale Boltzmann equation with random parameters L Liu, X Zhu Journal of Computational Physics, 2019	14	2019
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	13	2020
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	9	2020
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling C Lu, X Zhu Journal of Scientific Computing 87 (1), 1-30, 2021	7	2021
Denoising autoencoder aided spectrum reconstruction for colloidal quantum dot spectrometers J Zhang, X Zhu, J Bao IEEE Sensors, 2020	7	2020
Brownian Dynamics Simulation of Polymer Behaviors in Microfluidic Systems Z Xueyu, DP Center Technical University of Denmark, 2005	7	2005

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