Xueyu Zhu

Orcid: 0000-0001-9596-6227

According to our database1, Xueyu Zhu authored at least 31 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields.
IEEE Trans. Geosci. Remote. Sens., 2024

Efficient Bayesian Physics Informed Neural Networks for inverse problems via Ensemble Kalman Inversion.
J. Comput. Phys., 2024

A non-intrusive bi-fidelity reduced basis method for time-independent problems.
J. Comput. Phys., 2024

LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves.
CoRR, 2024

Uncertainty quantification for deeponets with ensemble kalman inversion.
CoRR, 2024

2023
Seismic Inversion Based on Acoustic Wave Equations Using Physics-Informed Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2023

Bayesian Physics-Informed Neural Networks for the Subsurface Tomography Based on the Eikonal Equation.
IEEE Trans. Geosci. Remote. Sens., 2023

Knee Joint Torque Prediction with Uncertainties by a Neuromusculoskeletal Solver-informed Gaussian Process Model.
Proceedings of the International Conference on Advanced Robotics and Mechatronics, 2023

2022
Ankle Joint Torque Prediction Using an NMS Solver Informed-ANN Model and Transfer Learning.
IEEE J. Biomed. Health Informatics, 2022

Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties.
Networks Heterog. Media, 2022

Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations.
J. Comput. Phys., 2022

A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs.
J. Comput. Phys., 2022

Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread.
CoRR, 2022

Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021
Bifidelity Data-Assisted Neural Networks in Nonintrusive Reduced-Order Modeling.
J. Sci. Comput., 2021

Multi-fidelity methods for uncertainty propagation in kinetic equations.
CoRR, 2021

Adaptive Surrogate Model for Failure Probability Estimation.
Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020
Parameter Estimation of Acoustic Wave Equations Using Hidden Physics Models.
IEEE Trans. Geosci. Remote. Sens., 2020

When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method.
SIAM J. Sci. Comput., 2020

A bi-fidelity method for the multiscale Boltzmann equation with random parameters.
J. Comput. Phys., 2020

Nonnegativity-Enforced Gaussian Process Regression.
CoRR, 2020

2019
Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification.
Sensors, 2019

An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models.
J. Comput. Phys., 2019

Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification.
IEEE Access, 2019

2017
Multi-fidelity stochastic collocation method for computation of statistical moments.
J. Comput. Phys., 2017

2016
A Well-Balanced Stochastic Galerkin Method for Scalar Hyperbolic Balance Laws with Random Inputs.
J. Sci. Comput., 2016

2015
Reduced Basis Multiscale Finite Element Methods for Elliptic Problems.
Multiscale Model. Simul., 2015

Asymptotic-preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings.
J. Comput. Phys., 2015

2014
High-Order Multiscale Finite Element Method for Elliptic Problems.
Multiscale Model. Simul., 2014

Computational Aspects of Stochastic Collocation with Multifidelity Models.
SIAM/ASA J. Uncertain. Quantification, 2014

2013
Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws.
J. Comput. Phys., 2013


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