xueyu zhu
Cited by
Cited by
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
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
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
High-order multiscale finite element method for elliptic problems
JS Hesthaven, S Zhang, X Zhu
SIAM Multiscale Modeling & Simulation 12 (2), 650-666, 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
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
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
Model Reduction Opportunities in Detailed Simulations of Combustion Dynamics
R Munipalli, Z Liu, X Zhu, S Menon, JS Hesthaven, 2014
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
Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws
K Shahbazi, JS Hesthaven, X Zhu
Journal of Computational Physics, 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
Nonnegativity-Enforced Gaussian Process Regression
A Pensoneault, X Yang, X Zhu
Theoretical and Applied Mechanics Letters, 2020
Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification
S Li, X Zhu, Y Liu, J Bao
IEEE Access 7 (1), 61534, 2019
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification
L Simin, X Zhu, B Jie
Sensors 19 (7), 1714, 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
A bi-fidelity method for the multiscale Boltzmann equation with random parameters
L Liu, X Zhu
Journal of Computational Physics, 2019
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
Denoising autoencoder aided spectrum reconstruction for colloidal quantum dot spectrometers
J Zhang, X Zhu, J Bao
IEEE Sensors, 2020
Explainable liver tumor delineation in surgical specimens using hyperspectral imaging and deep learning
Y Zhang, S Yu, X Zhu, X Ning, W Liu, C Wang, X Liu, D Zhao, Y Zheng, ...
Biomedical optics express 12 (7), 4510-4529, 2021
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling
C Lu, X Zhu
Journal of Scientific Computing 87, 1-30, 2021
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