Tao Zhou

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Tao TangMathematics, Hong Kong Baptist UniversityAdresse e-mail validée de math.hkbu.edu.hk
Weidong ZhaoShandong UniversityAdresse e-mail validée de sdu.edu.cn
Akil NarayanUniversity of UtahAdresse e-mail validée de sci.utah.edu
Liang YanSoutheast UniversityAdresse e-mail validée de seu.edu.cn
Ling GuoDepartment of Mathematics, Shanghai Normal UniveristyAdresse e-mail validée de shnu.edu.cn
Hao WuFree university of BerlinAdresse e-mail validée de zedat.fu-berlin.de
John JakemanPrincipal Member of Technical Staff, Sandia National LaboratoriesAdresse e-mail validée de sandia.gov
Zhiqiang XuProfessor, Academy of Math. And Sys. Sciences, Chinese Academy of ScienceAdresse e-mail validée de lsec.cc.ac.cn
Huifang YuanHarbin Institute of Technology, ShenzhenAdresse e-mail validée de hit.edu.cn
Li ZengInstitute of Computational Mathematics and Scientific/Engineering Computing, AMSS, CASAdresse e-mail validée de lsec.cc.ac.cn
Fabio NobileMATH - CSQI, Ecole Polytechnique Fédérale de Lausanne (EPFL)Adresse e-mail validée de epfl.ch
Xiaoliang WanLouisiana State UniversityAdresse e-mail validée de math.lsu.edu
Haijun YuInstitute of Computational Mathematics, Chinese Academy of SciencesAdresse e-mail validée de lsec.cc.ac.cn
Jie YangShandong UniversityAdresse e-mail validée de sdu.edu.cn
Wenbin LiuProfessor in Management Science and Computational Mathematics, University of KentAdresse e-mail validée de kent.ac.uk
Yongle LiuUniversity of ZurichAdresse e-mail validée de math.uzh.ch
Li-Lian WangProfessor, Division of Mathematical Sciences, SPMS, Nanyang Technological University, SingaporeAdresse e-mail validée de ntu.edu.sg
Xiaodong FengBeijing Normal University-Hong Kong Baptist University United International CollegeAdresse e-mail validée de uic.edu.cn
Xiaoqiang Yue (岳孝强)School of Mathematics and Computational Science, Xiangtan UniversityAdresse e-mail validée de xtu.edu.cn
Martin GanderUniversity of GenevaAdresse e-mail validée de unige.ch

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Tao Zhou

Professor of Mathematics, Chinese Academy of Sciences

Adresse e-mail validée de lsec.cc.ac.cn - Page d'accueil

Uncertainty Quantification Machine Learning Scientific Computing


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
On energy dissipation theory and numerical stability for time-fractional phase field equations T Tang, H Yu, T Zhou SIAM Journal on Scientific Computing 41 (6), A3757-A3778., 2019	148	2019
A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations H Liao, T Tang, T Zhou Journal of Computational Physics 414, 109473, 2020	145	2020
Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems L Yan, T Zhou Journal of Computational Physics 381, 110-128, 2019	116	2019
On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation H Liao, T Tang, T Zhou SIAM Journal on Numerical Analysis 58 (4), pp. 2294-2314, 2020	107	2020
New kinds of high-order multistep schemes for coupled forward backward stochastic differential equations W Zhao, Y Fu, T Zhou SIAM Journal on Scientific Computing 36 (4), A1731-A1751, 2014	100	2014
Failure-informed adaptive sampling for PINNs Z Gao, L Yan, T Zhou SIAM Journal on Scientific Computing 45 (4), A1971-A1994, 2023	99	2023
A Christoffel function weighted least squares algorithm for collocation approximations A Narayan, J Jakeman, T Zhou Mathematics of Computation 306 (86), 1913-1947, 2017	97	2017
Error analysis of the dynamically orthogonal approximation of time dependent random PDEs E Musharbash, F Nobile, T Zhou SIAM Journal on Scientific Computing 37 (2), A776-A810, 2015	86	2015
A generalized sampling and preconditioning scheme for sparse approximation of polynomial chaos expansions JD Jakeman, A Narayan, T Zhou SIAM Journal on Scientific Computing 39 (3), A1114-A1144, 2017	82	2017
Monte Carlo fPINNs: Deep learning method for forward and inverse problems involving high dimensional fractional partial differential equations L Guo, H Wu, X Yu, T Zhou Computer Methods in Applied Mechanics and Engineering 400, 115523, 2022	79	2022
Rational spectral methods for PDEs involving fractional Laplacian in unbounded domains T Tang, LL Wang, H Yuan, T Zhou SIAM Journal on Scientific Computing 42 (2), A585-A611, 2020	70	2020
An energy stable and maximum bound preserving scheme with variable time steps for time fractional Allen--Cahn equation H Liao, T Tang, T Zhou SIAM Journal on Scientific Computing 43 (5), A3503-A3526, 2021	65	2021
An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems L Yan, T Zhou Communications in Computational Physics 28 (5), 2180-2205, 2020	61	2020
Stochastic collocation on unstructured multivariate meshes A Narayan, T Zhou Communications in Computational Physics 15 (1), 1-36, 2015	59*	2015
Convergence analysis for stochastic collocation methods to scalar hyperbolic equations with a random wave speed T Tang, T Zhou Communications in Computational Physics 8 (1), 226-248, 2010	58	2010
A gradient enhanced -minimization for sparse approximation of polynomial chaos expansions L Guo, A Narayan, T Zhou Journal of Computational Physics 367, 49–64, 2018	54	2018
Constructing least-squares polynomial approximations L Guo, A Narayan, T Zhou SIAM Review 62 (2), 483-508, 2020	53	2020
Analysis of the second-order BDF scheme with variable steps for the molecular beam epitaxial model without slope selection HL Liao, X Song, T Tang, T Zhou Science China Mathematics 64, 887-902, 2021	52	2021
Recent developments in high order numerical methods for uncertainty quantification T Tang, T Zhou Scientia Sinica Mathematica 45 (7), 891-928, 2015	52*	2015
Normalizing field flows: Solving forward and inverse stochastic differential equations using physics-informed flow models L Guo, H Wu, T Zhou Journal of Computational Physics 461, 111202, 2022	50	2022

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