| 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 | 96 | 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 | 67 | 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 | 49* | 2014 |
| 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 | 41 | 2016 |
| 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 | 40 | 2020 |
| 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 |
| 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 |
| Nonnegativity-Enforced Gaussian Process Regression A Pensoneault, X Yang, X Zhu Theoretical and Applied Mechanics Letters, 2020 | 33 | 2020 |
| 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 | 31 | 2023 |
| Denoising autoencoder aided spectrum reconstruction for colloidal quantum dot spectrometers J Zhang, X Zhu, J Bao IEEE Sensors, 2020 | 29 | 2020 |
| Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification S Li, X Zhu, Y Liu, J Bao IEEE Access 7 (1), 61534, 2019 | 28 | 2019 |
| Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification L Simin, X Zhu, B Jie Sensors 19 (7), 1714, 2019 | 26 | 2019 |
| 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 |
| Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws K Shahbazi, JS Hesthaven, X Zhu Journal of Computational Physics, 2013 | 24 | 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 | 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 |
| 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 | 19 | 2022 |
| 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 | 19 | 2014 |
| 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 | 17* | 2023 |
Jan S HesthavenProfessor of Mathematics and Provost, Ecole Polytechnique Federale de Lausanne (EPFL)Verified email at epfl.ch
