Tao Zhou - RankMe

51 papers Journal 51

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A class of refined implicit-explicit Runge-Kutta methods with robust time adaptability and unconditional convergence for the Cahn-Hilliard model. Math. Comput. Hong-lin Liao, Tao Tang, Xuping Wang, Tao Zhou
2025	J	`jnl`	Deep learning-enhanced reduced-order ensemble Kalman filter for efficient Bayesian data assimilation of parametric PDEs. Comput. Phys. Commun. Yanyan Wang, Liang Yan, Tao Zhou
2024	J	`jnl`	A class of refined implicit-explicit Runge-Kutta methods with robust time adaptability and unconditional convergence for the Cahn-Hilliard model. CoRR Hong-lin Liao, Tao Tang, Xuping Wang, Tao Zhou
2024	J	`jnl`	Adaptive Operator Learning for Infinite-Dimensional Bayesian Inverse Problems. SIAM/ASA J. Uncertain. Quantification Zhiwei Gao, Liang Yan, Tao Zhou
2024	J	`jnl`	Convergence Analysis of the Parareal Algorithm with Nonuniform Fine Time Grid. SIAM J. Numer. Anal. Shu-Lin Wu, Tao Zhou
2023	J	`jnl`	Adaptive operator learning for infinite-dimensional Bayesian inverse problems. CoRR Zhiwei Gao, Liang Yan, Tao Zhou
2023	J	`jnl`	Failure-Informed Adaptive Sampling for PINNs. SIAM J. Sci. Comput. Zhiwei Gao, Liang Yan, Tao Zhou
2023	J	`jnl`	Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation. CoRR Zhiwei Gao, Tao Tang, Liang Yan, Tao Zhou
2022	J	`jnl`	Discrete energy analysis of the third-order variable-step BDF time-stepping for diffusion equations. CoRR Hong-lin Liao, Tao Tang, Tao Zhou
2022	J	`jnl`	Failure-informed adaptive sampling for PINNs. CoRR Zhiwei Gao, Liang Yan, Tao Zhou
2021	J	`jnl`	A new discrete energy technique for multi-step backward difference formulas. CoRR Hong-lin Liao, Tao Tang, Tao Zhou
2021	J	`jnl`	An Energy Stable and Maximum Bound Preserving Scheme with Variable Time Steps for Time Fractional Allen-Cahn Equation. SIAM J. Sci. Comput. Hong-lin Liao, Tao Tang, Tao Zhou
2021	J	`jnl`	An acceleration strategy for randomize-then-optimize sampling via deep neural networks. CoRR Liang Yan, Tao Zhou
2021	J	`jnl`	Optimal design for kernel interpolation: Applications to uncertainty quantification. J. Comput. Phys. Akil Narayan, Liang Yan, Tao Zhou
2021	J	`jnl`	Optimal design for kernel interpolation: applications to uncertainty quantification. CoRR Akil Narayan, Liang Yan, Tao Zhou
2021	J	`jnl`	Parallel implementation for the two-stage SDIRK methods via diagonalization. J. Comput. Phys. Shu-Lin Wu, Tao Zhou
2021	J	`jnl`	Stein variational gradient descent with local approximations. CoRR Liang Yan, Tao Zhou
2020	J	`jnl`	A Unified Probabilistic Discretization Scheme for FBSDEs: Stability, Consistency, and Convergence Analysis. SIAM J. Numer. Anal. Jie Yang, Weidong Zhao, Tao Zhou
2020	J	`jnl`	A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations. J. Comput. Phys. Hong-lin Liao, Tao Tang, Tao Zhou
2020	J	`jnl`	An energy stable and maximum bound preserving scheme with variable time steps for time fractional Allen-Cahn equation. CoRR Hong-lin Liao, Tao Tang, Tao Zhou
2020	J	`jnl`	Analysis of the second order BDF scheme with variable steps for the molecular beam epitaxial model without slope selection. CoRR Hong-lin Liao, Xuehua Song, Tao Tang, Tao Zhou
2020	J	`jnl`	Constructing Least-Squares Polynomial Approximations. SIAM Rev. Ling Guo, Akil Narayan, Tao Zhou
2020	J	`jnl`	On Energy Stable, Maximum-Principle Preserving, Second-Order BDF Scheme with Variable Steps for the Allen-Cahn Equation. SIAM J. Numer. Anal. Hong-lin Liao, Tao Tang, Tao Zhou
2020	J	`jnl`	On energy stable, maximum-principle preserving, second order BDF scheme with variable steps for the Allen-Cahn equation. CoRR Hong-lin Liao, Tao Tang, Tao Zhou
2020	J	`jnl`	Positive definiteness of real quadratic forms resulting from the variable-step approximation of convolution operators. CoRR Hong-lin Liao, Tao Tang, Tao Zhou
2020	J	`jnl`	Rational Spectral Methods for PDEs Involving Fractional Laplacian in Unbounded Domains. SIAM J. Sci. Comput. Tao Tang, Li-Lian Wang, Huifang Yuan, Tao Zhou
2020	J	`jnl`	Sparse approximation of data-driven Polynomial Chaos expansions: an induced sampling approach. CoRR Ling Guo, Akil Narayan, Yongle Liu, Tao Zhou
2019	J	`jnl`	A second-order and nonuniform time-stepping maximum-principle preserving scheme for time-fractional Allen-Cahn equations. CoRR Hong-lin Liao, Tao Tang, Tao Zhou
2019	J	`jnl`	Adaptive multi-fidelity polynomial chaos approach to Bayesian inference in inverse problems. J. Comput. Phys. Liang Yan, Tao Zhou
2019	J	`jnl`	An adaptive surrogate modeling based on deep neural networks for large-scale Bayesian inverse problems. CoRR Liang Yan, Tao Zhou
2019	J	`jnl`	Data-driven polynomial chaos expansions: A weighted least-square approximation. J. Comput. Phys. Ling Guo, Yongle Liu, Tao Zhou
2019	J	`jnl`	Efficient Stochastic Galerkin Methods for Maxwell's Equations with Random Inputs. J. Sci. Comput. Zhiwei Fang, Jichun Li, Tao Tang, Tao Zhou
2019	J	`jnl`	Explicit Deferred Correction Methods for Second-Order Forward Backward Stochastic Differential Equations. J. Sci. Comput. Jie Yang, Weidong Zhao, Tao Zhou
2019	J	`jnl`	On Energy Dissipation Theory and Numerical Stability for Time-Fractional Phase-Field Equations. SIAM J. Sci. Comput. Tao Tang, Haijun Yu, Tao Zhou
2018	J	`jnl`	A gradient enhanced J. Comput. Phys. Ling Guo, Akil Narayan, Tao Zhou
2018	J	`jnl`	Explicit theta-Schemes for Mean-Field Backward Stochastic Differential Equations. SIAM J. Numer. Anal. Yabing Sun, Weidong Zhao, Tao Zhou
2018	J	`jnl`	Parareal algorithms with local time-integrators for time fractional differential equations. J. Comput. Phys. Shu-Lin Wu, Tao Zhou
2018	J	`jnl`	Weighted Approximate Fekete Points: Sampling for Least-Squares Polynomial Approximation. SIAM J. Sci. Comput. Ling Guo, Akil Narayan, Liang Yan, Tao Zhou
2017	J	`jnl`	A Christoffel function weighted least squares algorithm for collocation approximations. Math. Comput. Akil Narayan, John D. Jakeman, Tao Zhou
2017	J	`jnl`	A Generalized Sampling and Preconditioning Scheme for Sparse Approximation of Polynomial Chaos Expansions. SIAM J. Sci. Comput. John D. Jakeman, Akil Narayan, Tao Zhou
2017	J	`jnl`	An Efficient Gradient Projection Method for Stochastic Optimal Control Problems. SIAM J. Numer. Anal. Bo Gong, Wenbin Liu, Tao Tang, Weidong Zhao, Tao Zhou
2017	J	`jnl`	Fast parareal iterations for fractional diffusion equations. J. Comput. Phys. Shu-Lin Wu, Tao Zhou
2017	J	`jnl`	Stochastic Collocation Methods via ℓ SIAM J. Sci. Comput. Ling Guo, Akil Narayan, Tao Zhou, Yuhang Chen
2016	J	`jnl`	Multistep Schemes for Forward Backward Stochastic Differential Equations with Jumps. J. Sci. Comput. Yu Fu, Weidong Zhao, Tao Zhou
2015	J	`jnl`	A multilevel finite element method for Fredholm integral eigenvalue problems. J. Comput. Phys. Hehu Xie, Tao Zhou
2015	J	`jnl`	Weighted discrete least-squares polynomial approximation using randomized quadratures. J. Comput. Phys. Tao Zhou, Akil Narayan, Dongbin Xiu
2014	J	`jnl`	Multivariate Discrete Least-Squares Approximations with a New Type of Collocation Grid. SIAM J. Sci. Comput. Tao Zhou, Akil Narayan, Zhiqiang Xu
2014	J	`jnl`	New Kinds of High-Order Multistep Schemes for Coupled Forward Backward Stochastic Differential Equations. SIAM J. Sci. Comput. Weidong Zhao, Yu Fu, Tao Zhou
2014	J	`jnl`	On Discrete Least-Squares Projection in Unbounded Domain with Random Evaluations and its Application to Parametric Uncertainty Quantification. SIAM J. Sci. Comput. Tao Tang, Tao Zhou
2012	J	`jnl`	Galerkin Methods for Stochastic Hyperbolic Problems Using Bi-Orthogonal Polynomials. J. Sci. Comput. Tao Zhou, Tao Tang
2010	J	`jnl`	Note on coefficient matrices from stochastic Galerkin methods for random diffusion equations. J. Comput. Phys. Tao Zhou, Tao Tang