Xueyu Zhu

According to our database, Xueyu Zhu authored at least 30 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

Jiayan Cao, Xueyu Zhu, Cheng Qian

CoRR, 2024

Uncertainty quantification for deeponets with ensemble kalman inversion.

Andrew Pensoneault, Xueyu Zhu

CoRR, 2024

2023

Seismic Inversion Based on Acoustic Wave Equations Using Physics-Informed Neural Network.

Yijie Zhang, Xueyu Zhu, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2023

Bayesian Physics-Informed Neural Networks for the Subsurface Tomography Based on the Eikonal Equation.

Rongxi Gou, Yijie Zhang, Xueyu Zhu, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2023

A non-intrusive bi-fidelity reduced basis method for time-independent problems.

Jun Sur Richard Park, Xueyu Zhu

CoRR, 2023

Efficient Bayesian Physics Informed Neural Networks for Inverse Problems via Ensemble Kalman Inversion.

Andrew Pensoneault, Xueyu Zhu

CoRR, 2023

Knee Joint Torque Prediction with Uncertainties by a Neuromusculoskeletal Solver-informed Gaussian Process Model.

Longbin Zhang, Xiaochen Zhang, Xueyu Zhu, Ruoli Wang, Elena M. Gutierrez-Farewik

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.

Longbin Zhang, Xueyu Zhu, Elena M. Gutierrez-Farewik, Ruoli Wang

IEEE J. Biomed. Health Informatics, 2022

Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties.

Giulia Bertaglia, Liu Liu, Lorenzo Pareschi, Xueyu Zhu

Networks Heterog. Media, 2022

Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations.

Jun Sur Richard Park, Xueyu Zhu

J. Comput. Phys., 2022

A bi-fidelity stochastic collocation method for transport equations with diffusive scaling and multi-dimensional random inputs.

Liu Liu, Lorenzo Pareschi, Xueyu Zhu

J. Comput. Phys., 2022

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

Giulia Bertaglia, Chuan Lu, Lorenzo Pareschi, Xueyu Zhu

CoRR, 2022

Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering.

Xueyu Zhu, Andy J. Ma

Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

2021

Bifidelity Data-Assisted Neural Networks in Nonintrusive Reduced-Order Modeling.

Chuan Lu, Xueyu Zhu

J. Sci. Comput., 2021

Multi-fidelity methods for uncertainty propagation in kinetic equations.

Giacomo Dimarco, Liu Liu, Lorenzo Pareschi, Xueyu Zhu

CoRR, 2021

Adaptive Surrogate Model for Failure Probability Estimation.

Yi Qin, Yue Zhang, Zexin Liu, Xueyu Zhu, Peng Wang

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.

Yijie Zhang, Xueyu Zhu, Jinghuai Gao

IEEE Trans. Geosci. Remote. Sens., 2020

When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method.

Xiu Yang, Xueyu Zhu, Jing Li

SIAM J. Sci. Comput., 2020

A bi-fidelity method for the multiscale Boltzmann equation with random parameters.

Liu Liu, Xueyu Zhu

J. Comput. Phys., 2020

Nonnegativity-Enforced Gaussian Process Regression.

Andrew Pensoneault, Xiu Yang, Xueyu Zhu

CoRR, 2020

2019

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

Simin Li, Xueyu Zhu, Jie Bao

Sensors, 2019

An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models.

Ming Cheng, Akil Narayan, Yi Qin, Peng Wang, Xinghui Zhong, Xueyu Zhu

J. Comput. Phys., 2019

Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification.

Simin Li, Xueyu Zhu, Yang Liu, Jie Bao

IEEE Access, 2019

2017

Multi-fidelity stochastic collocation method for computation of statistical moments.

Xueyu Zhu, Erin M. Linebarger, Dongbin Xiu

J. Comput. Phys., 2017

2016

A Well-Balanced Stochastic Galerkin Method for Scalar Hyperbolic Balance Laws with Random Inputs.

Shi Jin, Dongbin Xiu, Xueyu Zhu

J. Sci. Comput., 2016

2015

Reduced Basis Multiscale Finite Element Methods for Elliptic Problems.

Jan S. Hesthaven, Shun Zhang, Xueyu Zhu

Multiscale Model. Simul., 2015

Asymptotic-preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings.

Shi Jin, Dongbin Xiu, Xueyu Zhu

J. Comput. Phys., 2015

2014

High-Order Multiscale Finite Element Method for Elliptic Problems.

Jan S. Hesthaven, Shun Zhang, Xueyu Zhu

Multiscale Model. Simul., 2014

Computational Aspects of Stochastic Collocation with Multifidelity Models.

Xueyu Zhu, Akil Narayan, Dongbin Xiu

SIAM/ASA J. Uncertain. Quantification, 2014

2013

Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws.

Khosro Shahbazi, Jan S. Hesthaven, Xueyu Zhu

J. Comput. Phys., 2013