Xiu Yang

Orcid: 0000-0003-0882-2650

According to our database1, Xiu Yang authored at least 39 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
The Sparse-Grid-Based Adaptive Spectral Koopman Method.
SIAM J. Sci. Comput., 2024

Gaussian Process Regression with Soft Inequality and Monotonicity Constraints.
CoRR, 2024

An Efficient Quantum Algorithm for Linear System Problem in Tensor Format.
CoRR, 2024

2023
The Adaptive Spectral Koopman Method for Dynamical Systems.
SIAM J. Appl. Dyn. Syst., September, 2023

Müntz Ball Polynomials and Müntz Spectral-Galerkin Methods for Singular Eigenvalue Problems.
J. Sci. Comput., August, 2023

Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum.
J. Sci. Comput., April, 2023

An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization.
Entropy, February, 2023

Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator.
IEEE Trans. Geosci. Remote. Sens., 2023

2022
A General Framework of Rotational Sparse Approximation in Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification, 2022

An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems.
J. Comput. Phys., 2022

Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator.
CoRR, 2022

A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials.
CoRR, 2022

A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation.
Proceedings of the Mathematical and Scientific Machine Learning, 2022

2021
Physics Information Aided Kriging using Stochastic Simulation Models.
SIAM J. Sci. Comput., 2021

Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery.
CoRR, 2021

A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems.
CoRR, 2021

Convergence analysis of Richardson extrapolation for a quasilinear singularly perturbed problem with an integral boundary condition on an adaptive grid.
Appl. Math. Lett., 2021

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

Learning Coarse-Grained Potentials for Binary Fluids.
J. Chem. Inf. Model., 2020

A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors.
CoRR, 2020

Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression.
CoRR, 2020

Nonnegativity-Enforced Gaussian Process Regression.
CoRR, 2020

Density matrix quantum circuit simulation via the BSP machine on modern GPU clusters.
Proceedings of the International Conference for High Performance Computing, 2020

2019
Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence.
J. Comput. Phys., 2019

Numerical algorithm for two dimensional fractional Stokes' first problem for a heated generalized second grade fluid with smooth and non-smooth solution.
Comput. Math. Appl., 2019

Engineering structural robustness in power grid networks susceptible to community desynchronization.
Appl. Netw. Sci., 2019

2018
Sliced-Inverse-Regression-Aided Rotated Compressive Sensing Method for Uncertainty Quantification.
SIAM/ASA J. Uncertain. Quantification, 2018

Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence.
CoRR, 2018

Numerical analysis for electroosmotic flow of fractional Maxwell fluids.
Appl. Math. Lett., 2018

A time-space spectral method for the time-space fractional Fokker-Planck equation and its inverse problem.
Appl. Math. Comput., 2018

2017
Systematic parameter inference in stochastic mesoscopic modeling.
J. Comput. Phys., 2017

2016
Enhancing sparsity of Hermite polynomial expansions by iterative rotations.
J. Comput. Phys., 2016

2015
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2015

Algorithms for Propagating Uncertainty Across Heterogeneous Domains.
SIAM J. Sci. Comput., 2015

Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation.
Multiscale Model. Simul., 2015

2014
Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques.
Proceedings of the IEEE 2014 Custom Integrated Circuits Conference, 2014

2013
Numerical solution of the Stratonovich- and Ito-Euler equations: Application to the stochastic piston problem.
J. Comput. Phys., 2013

Reweighted <i>ℓ</i><sub>1</sub>ℓ1 minimization method for stochastic elliptic differential equations.
J. Comput. Phys., 2013

2012
Adaptive ANOVA decomposition of stochastic incompressible and compressible flows.
J. Comput. Phys., 2012


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