Xiu Yang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 38

Top Topics

Compressive Sensing

Monotonicity Constraints

Gaussian Process Regression

Measurement Errors

Top Venues

J. Comput. Phys.

SIAM J. Sci. Comput.

SIAM/ASA J. Uncertain. Quantification

Publications

Zeguan Wu, Sidhant Misra, Tamás Terlaky, Xiu Yang, Marc Vuffray
An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. CoRR (2024)
Didem Kochan, Xiu Yang
Gaussian Process Regression with Soft Inequality and Monotonicity Constraints. CoRR (2024)
Zeguan Wu, Mohammadhossein Mohammadisiahroudi, Brandon Augustino, Xiu Yang, Tamás Terlaky
An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. Entropy 25 (2) (2023)
Xiu Yang, Li-Lian Wang, Huiyuan Li, Changtao Sheng
Müntz ball polynomials and Müntz spectral-Galerkin methods for singular eigenvalue problems. CoRR (2023)
Xiu Yang, Li-Lian Wang, Huiyuan Li, Changtao Sheng
Müntz Ball Polynomials and Müntz Spectral-Galerkin Methods for Singular Eigenvalue Problems. J. Sci. Comput. 96 (2) (2023)
Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, Qiang Ye
Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. J. Sci. Comput. 95 (1) (2023)
Bian Li, Yi-An Ma, J. Nathan Kutz, Xiu Yang
The Adaptive Spectral Koopman Method for Dynamical Systems. SIAM J. Appl. Dyn. Syst. 22 (3) (2023)
Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin
Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator. IEEE Trans. Geosci. Remote. Sens. 61 (2023)
Didem Kochan, Zheng Zhang, Xiu Yang
A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. MSML (2022)
Mengqi Hu, Yifei Lou, Xiu Yang
A General Framework of Rotational Sparse Approximation in Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 10 (4) (2022)
Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin
Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator. CoRR (2022)
Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Helen Li, Clayton Webster, Yue Yu
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. J. Comput. Phys. 465 (2022)
Yiming Fan, Huaiqian You, Xiaochuan Tian, Xiu Yang, Xingjie Helen Li, Naveen Prakash, Yue Yu
A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials. CoRR (2022)
Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Helen Li, Clayton Webster, Yue Yu
An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. CoRR (2021)
Zhiwei Fang, Justin Z. Zhan, Xiu Yang
A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems. CoRR (2021)
Li-Bin Liu, Xiu Yang
Convergence analysis of Richardson extrapolation for a quasilinear singularly perturbed problem with an integral boundary condition on an adaptive grid. Appl. Math. Lett. 115 (2021)
Xiu Yang, Guzel Tartakovsky, Alexandre M. Tartakovsky
Physics Information Aided Kriging using Stochastic Simulation Models. SIAM J. Sci. Comput. 43 (6) (2021)
Peiyuan Gao, Xiu Yang, Yu-Hang Tang, Muqing Zheng, Amity Anderson, Vijayakumar Murugesan, Aaron Hollas, Wei Wang
Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery. CoRR (2021)
Xiu Yang, Xueyu Zhu, Jing Li
When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method. SIAM J. Sci. Comput. 42 (1) (2020)
Peiyuan Gao, Xiu Yang, Alexandre M. Tartakovsky
Learning Coarse-Grained Potentials for Binary Fluids. J. Chem. Inf. Model. 60 (8) (2020)
Ang Li, Omer Subasi, Xiu Yang, Sriram Krishnamoorthy
Density matrix quantum circuit simulation via the BSP machine on modern GPU clusters. SC (2020)
Andrew Pensoneault, Xiu Yang, Xueyu Zhu
Nonnegativity-Enforced Gaussian Process Regression. CoRR (2020)
Muqing Zheng, Ang Li, Tamás Terlaky, Xiu Yang
A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors. CoRR (2020)
Yixiang Deng, Guang Lin, Xiu Yang
Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. CoRR (2020)
Xiu Yang, David A. Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence. J. Comput. Phys. 395 (2019)
Daniel Dylewsky, Xiu Yang, Alexandre M. Tartakovsky, J. Nathan Kutz
Engineering structural robustness in power grid networks susceptible to community desynchronization. Appl. Netw. Sci. 4 (1) (2019)
Xiu Yang, Xiaoyun Jiang
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. 78 (5) (2019)
Xiu Yang, Xueyu Zhu, Jing Li
When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method. CoRR (2018)
Xiu Yang, David A. Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence. CoRR (2018)
Hui Zhang, Xiaoyun Jiang, Xiu Yang
A time-space spectral method for the time-space fractional Fokker-Planck equation and its inverse problem. Appl. Math. Comput. 320 (2018)
Xiu Yang, Weixuan Li, Alexandre M. Tartakovsky
Sliced-Inverse-Regression-Aided Rotated Compressive Sensing Method for Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification 6 (4) (2018)
Xiu Yang, Haitao Qi, Xiaoyun Jiang
Numerical analysis for electroosmotic flow of fractional Maxwell fluids. Appl. Math. Lett. 78 (2018)
Xiu Yang, Guzel Tartakovsky, Alexandre M. Tartakovsky
Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence. CoRR (2018)
Huan Lei, Xiu Yang, Zhen Li, George E. Karniadakis
Systematic parameter inference in stochastic mesoscopic modeling. J. Comput. Phys. 330 (2017)
Xiu Yang, Huan Lei, Nathan A. Baker, Guang Lin
Enhancing sparsity of Hermite polynomial expansions by iterative rotations. J. Comput. Phys. 307 (2016)
Heyrim Cho, Xiu Yang, Daniele Venturi, George E. Karniadakis
Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM J. Sci. Comput. 37 (6) (2015)
Huan Lei, Xiu Yang, Bin Zheng, Guang Lin, Nathan A. Baker
Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation. Multiscale Model. Simul. 13 (4) (2015)
Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 34 (1) (2015)
Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim Abe M. Elfadel, George E. Karniadakis, Luca Daniel
Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques. CICC (2014)
Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim M. Elfadel, George E. Karniadakis, Luca Daniel
Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques. CoRR (2014)
Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR (2014)
Xiu Yang, George E. Karniadakis
ℓ1 minimization method for stochastic elliptic differential equations. J. Comput. Phys. 248 (2013)
Zhongqiang Zhang, Xiu Yang, Guang Lin, George E. Karniadakis
Numerical solution of the Stratonovich- and Ito-Euler equations: Application to the stochastic piston problem. J. Comput. Phys. 236 (2013)
Xiu Yang, Minseok Choi, Guang Lin, George E. Karniadakis
Adaptive ANOVA decomposition of stochastic incompressible and compressible flows. J. Comput. Phys. 231 (4) (2012)