Multi-dimensional hybrid Fourier continuation-WENO solvers for conservation laws. - Khosro Shahbazi; Jan S. Hesthaven; Xueyu Zhu (J. Comput. Phys., 2013)

Computational Aspects of Stochastic Collocation with Multifidelity Models. - Xueyu Zhu; Akil Narayan 001; Dongbin Xiu (SIAM/ASA J. Uncertain. Quantification, 2014)

High-Order Multiscale Finite Element Method for Elliptic Problems. - Jan S. Hesthaven; Shun Zhang 001; Xueyu Zhu (Multiscale Model. Simul., 2014)

Asymptotic-preserving methods for hyperbolic and transport equations with random inputs and diffusive scalings. - Shi Jin 003; Dongbin Xiu; Xueyu Zhu (J. Comput. Phys., 2015)

Reduced Basis Multiscale Finite Element Methods for Elliptic Problems. - Jan S. Hesthaven; Shun Zhang 001; Xueyu Zhu (Multiscale Model. Simul., 2015)

A Well-Balanced Stochastic Galerkin Method for Scalar Hyperbolic Balance Laws with Random Inputs. - Shi Jin 003; Dongbin Xiu; Xueyu Zhu (J. Sci. Comput., 2016)

Multi-fidelity stochastic collocation method for computation of statistical moments. - Xueyu Zhu; Erin M. Linebarger; Dongbin Xiu (J. Comput. Phys., 2017)

Adaptive Spatial-Spectral Feature Learning for Hyperspectral Image Classification. - Simin Li; Xueyu Zhu; Yang Liu; Jie Bao 006 (IEEE Access, 2019)

An efficient solver for cumulative density function-based solutions of uncertain kinematic wave models. - Ming Cheng; Akil Narayan 001; Yi Qin; Peng Wang 022; Xinghui Zhong; Xueyu Zhu (J. Comput. Phys., 2019)

Hierarchical Multi-Scale Convolutional Neural Networks for Hyperspectral Image Classification. - Simin Li; Xueyu Zhu; Jie Bao 004 (Sensors, 2019)

Nonnegativity-Enforced Gaussian Process Regression. - Andrew Pensoneault; Xiu Yang; Xueyu Zhu (CoRR, 2020)

A bi-fidelity method for the multiscale Boltzmann equation with random parameters. - Liu Liu; Xueyu Zhu (J. Comput. Phys., 2020)

When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method. - Xiu Yang; Xueyu Zhu; Jing Li (SIAM J. Sci. Comput., 2020)

Parameter Estimation of Acoustic Wave Equations Using Hidden Physics Models. - Yijie Zhang; Xueyu Zhu; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2020)

Adaptive Surrogate Model for Failure Probability Estimation. - Yi Qin; Yue Zhang; Zexin Liu; Xueyu Zhu; Peng Wang 022 (CSAE, 2021)

Multi-fidelity methods for uncertainty propagation in kinetic equations. - Giacomo Dimarco; Liu Liu; Lorenzo Pareschi; Xueyu Zhu (CoRR, 2021)

Bifidelity Data-Assisted Neural Networks in Nonintrusive Reduced-Order Modeling. - Chuan Lu; Xueyu Zhu (J. Sci. Comput., 2021)

Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering. - Xueyu Zhu; Andy J. Ma (ISBI, 2022)

Asymptotic-Preserving Neural Networks for multiscale hyperbolic models of epidemic spread. - Giulia Bertaglia; Chuan Lu; Lorenzo Pareschi; Xueyu Zhu (CoRR, 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)

Physics-informed neural networks for learning the homogenized coefficients of multiscale elliptic equations. - Jun Sur Richard Park; Xueyu Zhu (J. Comput. Phys., 2022)

Bi-fidelity stochastic collocation methods for epidemic transport models with uncertainties. - Giulia Bertaglia; Liu Liu; Lorenzo Pareschi; Xueyu Zhu (Networks Heterog. Media, 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)

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 (ICARM, 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)

Seismic Inversion Based on Acoustic Wave Equations Using Physics-Informed Neural Network. - Yijie Zhang; Xueyu Zhu; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2023)

LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves. - Jiayan Cao; Xueyu Zhu; Cheng Qian (CoRR, 2024)

A non-intrusive bi-fidelity reduced basis method for time-independent problems. - Jun Sur Richard Park; Xueyu Zhu (J. Comput. Phys., 2024)

Efficient Bayesian Physics Informed Neural Networks for inverse problems via Ensemble Kalman Inversion. - Andrew Pensoneault; Xueyu Zhu (J. Comput. Phys., 2024)

Fully Convolutional Network-Enhanced DeepONet-Based Surrogate of Predicting the Travel-Time Fields. - Yifan Mei; Yijie Zhang; Xueyu Zhu; Rongxi Gou; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2024)

Asymptotic-preserving neural networks for the semiconductor Boltzmann equation and its application on inverse problems. - Liu Liu; Yating Wang; Xueyu Zhu; Zhenyi Zhu (J. Comput. Phys., 2025)

Uncertainty quantification for DeepONets with ensemble Kalman inversion. - Andrew Pensoneault; Xueyu Zhu (J. Comput. Phys., 2025)

Uncertainty Quantification for Travel-Time Tomography Using Deep Operator Networks With Randomized Priors. - Yifan Mei; Yijie Zhang; Xueyu Zhu; Jinghuai Gao (IEEE Trans. Geosci. Remote. Sens., 2025)