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2020 – today
- 2024
[j23]Jun Sur Richard Park, Xueyu Zhu
:
A non-intrusive bi-fidelity reduced basis method for time-independent problems. J. Comput. Phys. 502: 112797 (2024)- [j22]Andrew Pensoneault, Xueyu Zhu:
Efficient Bayesian Physics Informed Neural Networks for inverse problems via Ensemble Kalman Inversion. J. Comput. Phys. 508: 113006 (2024) - [j21]Yifan Mei, Yijie Zhang, Xueyu Zhu, Rongxi Gou, Jinghuai Gao:
Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - [i12]Andrew Pensoneault, Xueyu Zhu:
Uncertainty quantification for deeponets with ensemble kalman inversion. CoRR abs/2403.03444 (2024) - [i11]Jiayan Cao, Xueyu Zhu, Cheng Qian:
LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves. CoRR abs/2403.05155 (2024) - 2023
- [j20]Rongxi Gou, Yijie Zhang, Xueyu Zhu, Jinghuai Gao:
Bayesian Physics-Informed Neural Networks for the Subsurface Tomography Based on the Eikonal Equation. IEEE Trans. Geosci. Remote. Sens. 61: 1-12 (2023) - [j19]Yijie Zhang, Xueyu Zhu, Jinghuai Gao:
Seismic Inversion Based on Acoustic Wave Equations Using Physics-Informed Neural Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-11 (2023) - [c3]Longbin Zhang, Xiaochen Zhang, Xueyu Zhu, Ruoli Wang, Elena M. Gutierrez-Farewik:
Knee Joint Torque Prediction with Uncertainties by a Neuromusculoskeletal Solver-informed Gaussian Process Model. ICARM 2023: 1035-1040 - [i10]Andrew Pensoneault, Xueyu Zhu:
Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion. CoRR abs/2303.07392 (2023) - [i9]Jun Sur Richard Park, Xueyu Zhu:
A non-intrusive bi-fidelity reduced basis method for time-independent problems. CoRR abs/2307.01027 (2023) - 2022
- [j18]Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. J. Comput. Phys. 462: 111252 (2022) - [j17]Jun Sur Richard Park, Xueyu Zhu:
Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations. J. Comput. Phys. 467: 111420 (2022) - [j16]Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. Networks Heterog. Media 17(3): 401-425 (2022) - [j15]Longbin Zhang, Xueyu Zhu, Elena M. Gutierrez-Farewik, Ruoli Wang:
Ankle Joint Torque Prediction Using an NMS Solver Informed-ANN Model and Transfer Learning. IEEE J. Biomed. Health Informatics 26(12): 5895-5906 (2022) - [c2]Xueyu Zhu, Andy J. Ma:
Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering. ISBI 2022: 1-5 - [i8]Jun Sur Richard Park, Xueyu Zhu:
Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations. CoRR abs/2202.09712 (2022) - [i7]Giulia Bertaglia, Chuan Lu, Lorenzo Pareschi, Xueyu Zhu:
Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread. CoRR abs/2206.12625 (2022) - 2021
- [j14]Chuan Lu, Xueyu Zhu:
Bifidelity Data-Assisted Neural Networks in Nonintrusive Reduced-Order Modeling. J. Sci. Comput. 87(1): 8 (2021) - [c1]Yi Qin, Yue Zhang, Zexin Liu, Xueyu Zhu, Peng Wang:
Adaptive Surrogate Model for Failure Probability Estimation. CSAE 2021: 15:1-15:11 - [i6]Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs. CoRR abs/2107.09250 (2021) - [i5]Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. CoRR abs/2110.14579 (2021) - [i4]Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, Xueyu Zhu:
Multi-fidelity methods for uncertainty propagation in kinetic equations. CoRR abs/2112.00932 (2021) - 2020
- [j13]Liu Liu, Xueyu Zhu:
A bi-fidelity method for the multiscale Boltzmann equation with random parameters. J. Comput. Phys. 402 (2020) - [j12]Xiu Yang, Xueyu Zhu, Jing Li:
When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method. SIAM J. Sci. Comput. 42(1): A220-A249 (2020) - [j11]Yijie Zhang, Xueyu Zhu, Jinghuai Gao:
Parameter Estimation of Acoustic Wave Equations Using Hidden Physics Models. IEEE Trans. Geosci. Remote. Sens. 58(7): 4629-4639 (2020) - [i3]Andrew Pensoneault, Xiu Yang, Xueyu Zhu:
Nonnegativity-Enforced Gaussian Process Regression. CoRR abs/2004.04632 (2020)
2010 – 2019
- 2019
- [j10]Simin Li, Xueyu Zhu, Yang Liu, Jie Bao:
Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification. IEEE Access 7: 61534-61547 (2019) - [j9]Ming Cheng, Akil Narayan, Yi Qin, Peng Wang, Xinghui Zhong, Xueyu Zhu:
An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models. J. Comput. Phys. 382: 138-151 (2019) - [j8]Simin Li, Xueyu Zhu, Jie Bao:
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification. Sensors 19(7): 1714 (2019) - [i2]Chuan Lu, Xueyu Zhu:
Bifidelity data-assisted neural networks in nonintrusive reduced-order modeling. CoRR abs/1902.00148 (2019) - 2018
- [i1]Xiu Yang, Xueyu Zhu, Jing Li:
When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method. CoRR abs/1812.02919 (2018) - 2017
- [j7]Xueyu Zhu, Erin M. Linebarger, Dongbin Xiu:
Multi-fidelity stochastic collocation method for computation of statistical moments. J. Comput. Phys. 341: 386-396 (2017) - 2016
- [j6]Shi Jin, Dongbin Xiu, Xueyu Zhu:
A Well-Balanced Stochastic Galerkin Method for Scalar Hyperbolic Balance Laws with Random Inputs. J. Sci. Comput. 67(3): 1198-1218 (2016) - 2015
- [j5]Shi Jin, Dongbin Xiu, Xueyu Zhu:
Asymptotic-preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings. J. Comput. Phys. 289: 35-52 (2015) - [j4]Jan S. Hesthaven, Shun Zhang, Xueyu Zhu:
Reduced Basis Multiscale Finite Element Methods for Elliptic Problems. Multiscale Model. Simul. 13(1): 316-337 (2015) - 2014
- [j3]Xueyu Zhu, Akil Narayan, Dongbin Xiu:
Computational Aspects of Stochastic Collocation with Multifidelity Models. SIAM/ASA J. Uncertain. Quantification 2(1): 444-463 (2014) - [j2]Jan S. Hesthaven, Shun Zhang, Xueyu Zhu:
High-Order Multiscale Finite Element Method for Elliptic Problems. Multiscale Model. Simul. 12(2): 650-666 (2014) - 2013
- [j1]Khosro Shahbazi, Jan S. Hesthaven, Xueyu Zhu:
Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws. J. Comput. Phys. 253: 209-225 (2013)
Coauthor Index
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