Xiu Yang - RankMe

50 papers A 1Journal 46Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A preconditioned inexact infeasible quantum interior point method for linear optimization. Comput. Optim. Appl. Zeguan Wu, Xiu Yang, Tamás Terlaky
2025	J	`jnl`	A Gradient-Based Optimization Method Using the Koopman Operator. SIAM J. Appl. Dyn. Syst. Mengqi Hu, Bian Li, Yi-An Ma, Yifei Lou, Xiu Yang
2025	—	`conf`	High-Power, Narrow-Linewidth Multi-Channel Interference Widely Tunable Lasers Based on Butt-Joint Regrowth. ECOC Jiajun Lou, Chun Jiang, Quanan Chen, Zifeng Chen, Zhida Wang, Xiu Yang, Qiaoyin Lu, Weihua Guo
2025	J	`jnl`	Quantum DeepONet: Neural operators accelerated by quantum computing. Quantum Pengpeng Xiao, Muqing Zheng, Anran Jiao, Xiu Yang, Lu Lu
2024	J	`jnl`	An Efficient Quantum Algorithm for Linear System Problem in Tensor Format. CoRR Zeguan Wu, Sidhant Misra, Tamás Terlaky, Xiu Yang, Marc Vuffray
2024	J	`jnl`	Gaussian Process Regression with Soft Inequality and Monotonicity Constraints. CoRR Didem Kochan, Xiu Yang
2024	J	`jnl`	The Sparse-Grid-Based Adaptive Spectral Koopman Method. SIAM J. Sci. Comput. Bian Li, Yue Yu, Xiu Yang
2023	J	`jnl`	A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors. ACM Trans. Quantum Comput. Muqing Zheng, Ang Li, Tamás Terlaky, Xiu Yang
2023	J	`jnl`	Accelerated Sparse Recovery via Gradient Descent with Nonlinear Conjugate Gradient Momentum. J. Sci. Comput. Mengqi Hu, Yifei Lou, Bao Wang, Ming Yan, Xiu Yang, Qiang Ye
2023	J	`jnl`	An Inexact Feasible Quantum Interior Point Method for Linearly Constrained Quadratic Optimization. Entropy Zeguan Wu, Mohammadhossein Mohammadisiahroudi, Brandon Augustino, Xiu Yang, Tamás Terlaky
2023	J	`jnl`	Müntz Ball Polynomials and Müntz Spectral-Galerkin Methods for Singular Eigenvalue Problems. J. Sci. Comput. Xiu Yang, Li-Lian Wang, Huiyuan Li, Changtao Sheng
2023	J	`jnl`	Müntz ball polynomials and Müntz spectral-Galerkin methods for singular eigenvalue problems. CoRR Xiu Yang, Li-Lian Wang, Huiyuan Li, Changtao Sheng
2023	J	`jnl`	Solving Seismic Wave Equations on Variable Velocity Models With Fourier Neural Operator. IEEE Trans. Geosci. Remote. Sens. Bian Li, Hanchen Wang, Shihang Feng, Xiu Yang, Youzuo Lin
2023	J	`jnl`	The Adaptive Spectral Koopman Method for Dynamical Systems. SIAM J. Appl. Dyn. Syst. Bian Li, Yi-An Ma, J. Nathan Kutz, Xiu Yang
2022	J	`jnl`	A General Framework of Rotational Sparse Approximation in Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification Mengqi Hu, Yifei Lou, Xiu Yang
2022	J	`jnl`	A Meshfree Peridynamic Model for Brittle Fracture in Randomly Heterogeneous Materials. CoRR Yiming Fan, Huaiqian You, Xiaochuan Tian, Xiu Yang, Xingjie Li, Naveen Prakash, Yue Yu
2022	—	`conf`	A Quantum-Inspired Hamiltonian Monte Carlo Method for Missing Data Imputation. MSML Didem Kochan, Zheng Zhang, Xiu Yang
2022	J	`jnl`	An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. J. Comput. Phys. Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Li, Clayton Webster, Yue Yu
2022	J	`jnl`	Solving Seismic Wave Equations on Variable Velocity Models with Fourier Neural Operator. CoRR Bian Li, Hanchen Wang, Xiu Yang, Youzuo Lin
2021	J	`jnl`	A Physics-Informed Neural Network Framework For Partial Differential Equations on 3D Surfaces: Time-Dependent Problems. CoRR Zhiwei Fang, Justin Z. Zhan, Xiu Yang
2021	J	`jnl`	An asymptotically compatible probabilistic collocation method for randomly heterogeneous nonlocal problems. CoRR Yiming Fan, Xiaochuan Tian, Xiu Yang, Xingjie Li, Clayton Webster, Yue Yu
2021	J	`jnl`	Convergence analysis of Richardson extrapolation for a quasilinear singularly perturbed problem with an integral boundary condition on an adaptive grid. Appl. Math. Lett. Li-bin Liu, Xiu Yang
2021	J	`jnl`	Graphical Gaussian Process Regression Model for Aqueous Solvation Free Energy Prediction of Organic Molecules in Redox Flow Battery. CoRR Peiyuan Gao, Xiu Yang, Yu-Hang Tang, Muqing Zheng, Amity Anderson, Vijayakumar Murugesan, Aaron Hollas, Wei Wang
2021	J	`jnl`	Physics Information Aided Kriging using Stochastic Simulation Models. SIAM J. Sci. Comput. Xiu Yang, Guzel Tartakovsky, Alexandre M. Tartakovsky
2020	J	`jnl`	A Bayesian Approach for Characterizing and Mitigating Gate and Measurement Errors. CoRR Muqing Zheng, Ang Li, Tamás Terlaky, Xiu Yang
2020	A	`conf`	Density matrix quantum circuit simulation via the BSP machine on modern GPU clusters. SC Ang Li, Omer Subasi, Xiu Yang, Sriram Krishnamoorthy
2020	J	`jnl`	Learning Coarse-Grained Potentials for Binary Fluids. J. Chem. Inf. Model. Peiyuan Gao, Xiu Yang, Alexandre M. Tartakovsky
2020	J	`jnl`	Multifidelity Data Fusion via Gradient-Enhanced Gaussian Process Regression. CoRR Yixiang Deng, Guang Lin, Xiu Yang
2020	J	`jnl`	Nonnegativity-Enforced Gaussian Process Regression. CoRR Andrew Pensoneault, Xiu Yang, Xueyu Zhu
2020	J	`jnl`	When Bifidelity Meets CoKriging: An Efficient Physics-Informed MultiFidelity Method. SIAM J. Sci. Comput. Xiu Yang, Xueyu Zhu, Jing Li
2019	J	`jnl`	Engineering structural robustness in power grid networks susceptible to community desynchronization. Appl. Netw. Sci. Daniel Dylewsky, Xiu Yang, Alexandre M. Tartakovsky, J. Nathan Kutz
2019	J	`jnl`	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. Xiu Yang, Xiaoyun Jiang
2019	J	`jnl`	Physics-informed CoKriging: A Gaussian-process-regression-based multifidelity method for data-model convergence. J. Comput. Phys. Xiu Yang, David A. Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
2018	J	`jnl`	A time-space spectral method for the time-space fractional Fokker-Planck equation and its inverse problem. Appl. Math. Comput. Hui Zhang, Xiaoyun Jiang, Xiu Yang
2018	J	`jnl`	Numerical analysis for electroosmotic flow of fractional Maxwell fluids. Appl. Math. Lett. Xiu Yang, Haitao Qi, Xiaoyun Jiang
2018	J	`jnl`	Physics-Informed CoKriging: A Gaussian-Process-Regression-Based Multifidelity Method for Data-Model Convergence. CoRR Xiu Yang, David A. Barajas-Solano, Guzel Tartakovsky, Alexandre M. Tartakovsky
2018	J	`jnl`	Physics-Informed Kriging: A Physics-Informed Gaussian Process Regression Method for Data-Model Convergence. CoRR Xiu Yang, Guzel Tartakovsky, Alexandre M. Tartakovsky
2018	J	`jnl`	Sliced-Inverse-Regression-Aided Rotated Compressive Sensing Method for Uncertainty Quantification. SIAM/ASA J. Uncertain. Quantification Xiu Yang, Weixuan Li, Alexandre M. Tartakovsky
2018	J	`jnl`	When Bifidelity Meets CoKriging: An Efficient Physics-Informed Multifidelity Method. CoRR Xiu Yang, Xueyu Zhu, Jing Li
2017	J	`jnl`	Systematic parameter inference in stochastic mesoscopic modeling. J. Comput. Phys. Huan Lei, Xiu Yang, Zhen Li, George E. Karniadakis
2016	J	`jnl`	Enhancing sparsity of Hermite polynomial expansions by iterative rotations. J. Comput. Phys. Xiu Yang, Huan Lei, Nathan A. Baker, Guang Lin
2015	J	`jnl`	Algorithms for Propagating Uncertainty Across Heterogeneous Domains. SIAM J. Sci. Comput. Heyrim Cho, Xiu Yang, Daniele Venturi, George E. Karniadakis
2015	J	`jnl`	Constructing Surrogate Models of Complex Systems with Enhanced Sparsity: Quantifying the Influence of Conformational Uncertainty in Biomolecular Solvation. Multiscale Model. Simul. Huan Lei, Xiu Yang, Bin Zheng, Guang Lin, Nathan A. Baker
2015	J	`jnl`	Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
2014	J	`jnl`	Enabling High-Dimensional Hierarchical Uncertainty Quantification by ANOVA and Tensor-Train Decomposition. CoRR Zheng Zhang, Xiu Yang, Ivan V. Oseledets, George E. Karniadakis, Luca Daniel
2014	J	`jnl`	Stochastic Testing Simulator for Integrated Circuits and MEMS: Hierarchical and Sparse Techniques. CoRR Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim M. Elfadel, George E. Karniadakis, Luca Daniel
2014	—	`conf`	Stochastic testing simulator for integrated circuits and MEMS: Hierarchical and sparse techniques. CICC Zheng Zhang, Xiu Yang, Giovanni Marucci, Paolo Maffezzoni, Ibrahim Abe M. Elfadel, George E. Karniadakis, Luca Daniel
2013	J	`jnl`	Numerical solution of the Stratonovich- and Ito-Euler equations: Application to the stochastic piston problem. J. Comput. Phys. Zhongqiang Zhang, Xiu Yang, Guang Lin, George E. Karniadakis
2013	J	`jnl`	Reweighted J. Comput. Phys. Xiu Yang, George E. Karniadakis
2012	J	`jnl`	Adaptive ANOVA decomposition of stochastic incompressible and compressible flows. J. Comput. Phys. Xiu Yang, Minseok Choi, Guang Lin, George E. Karniadakis