Wing Tat Leung

Orcid: 0000-0002-8329-7844

According to our database1, Wing Tat Leung authored at least 54 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Partially explicit splitting method for a multi-physics problem.
J. Comput. Appl. Math., May, 2024

Partially explicit splitting scheme with explicit-implicit-null method for nonlinear multiscale flow problems.
CoRR, 2024

Learning-based Multi-continuum Model for Multiscale Flow Problems.
CoRR, 2024

Some convergence analysis for multicontinuum homogenization.
CoRR, 2024

2023
Multi-agent Reinforcement Learning Aided Sampling Algorithms for a Class of Multiscale Inverse Problems.
J. Sci. Comput., August, 2023

An adaptive space and time method in partially explicit splitting scheme for multiscale flow problems.
Comput. Math. Appl., August, 2023

Hybrid explicit-implicit learning for multiscale problems with time dependent source.
Commun. Nonlinear Sci. Numer. Simul., June, 2023

Multicontinuum homogenization and its relation to nonlocal multicontinuum theories.
J. Comput. Phys., February, 2023

Nonlocal transport equations in multiscale media. Modeling, dememorization, and discretizations.
J. Comput. Phys., 2023

Partially Explicit Generalized Multiscale Method for Poroelasticity Problem.
CoRR, 2023

Multicontinuum homogenization. General theory and applications.
CoRR, 2023

Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE.
CoRR, 2023

A discretization-invariant extension and analysis of some deep operator networks.
CoRR, 2023

2022
AMS-Net: Adaptive Multiscale Sparse Neural Network with Interpretable Basis Expansion for Multiphase Flow Problems.
Multiscale Model. Simul., March, 2022

Multirate Partially Explicit Scheme for Multiscale Flow Problems.
SIAM J. Sci. Comput., February, 2022

NH-PINN: Neural homogenization-based physics-informed neural network for multiscale problems.
J. Comput. Phys., 2022

Efficient hybrid explicit-implicit learning for multiscale problems.
J. Comput. Phys., 2022

Contrast-independent partially explicit time discretizations for multiscale wave problems.
J. Comput. Phys., 2022

Continuous data assimilation for two-phase flow: Analysis and simulations.
J. Comput. Phys., 2022

BelNet: Basis enhanced learning, a mesh-free neural operator.
CoRR, 2022

Partially explicit time discretization for nonlinear time fractional diffusion equations.
Commun. Nonlinear Sci. Numer. Simul., 2022

Iterative oversampling technique for constraint energy minimizing generalized multiscale finite element method in the mixed formulation.
Appl. Math. Comput., 2022

2021
Explicit and Energy-Conserving Constraint Energy Minimizing Generalized Multiscale Discontinuous Galerkin Method for Wave Propagation in Heterogeneous Media.
Multiscale Model. Simul., 2021

Contrast-independent partially explicit time discretizations for multiscale flow problems.
J. Comput. Phys., 2021

A multi-stage deep learning based algorithm for multiscale model reduction.
J. Comput. Appl. Math., 2021

HEI: hybrid explicit-implicit learning for multiscale problems.
CoRR, 2021

Partially Explicit Time Discretization for Time Fractional Diffusion Equation.
CoRR, 2021

Contrast-independent partially explicit time discretizations for nonlinear multiscale problems.
CoRR, 2021

Space-time Non-local multi-continua upscaling for parabolic equations with moving channelized media.
CoRR, 2021

2020
Reduced-order deep learning for flow dynamics. The interplay between deep learning and model reduction.
J. Comput. Phys., 2020

Learning macroscopic parameters in nonlinear multiscale simulations using nonlocal multicontinua upscaling techniques.
J. Comput. Phys., 2020

Sequential local mesh refinement solver with separate temporal and spatial adaptivity for non-linear two-phase flow problems.
J. Comput. Phys., 2020

Constraint energy minimizing generalized multiscale discontinuous Galerkin method.
J. Comput. Appl. Math., 2020

Multi-agent Reinforcement Learning Accelerated MCMC on Multiscale Inversion Problem.
CoRR, 2020

A multi-stage deep learning based algorithm for multiscale modelreduction.
CoRR, 2020

Learning Algorithms for Coarsening Uncertainty Space and Applications to Multiscale Simulations.
CoRR, 2020

Nonlocal multicontinua with Representative Volume Elements. Bridging separable and non-separable scales.
CoRR, 2020

Multiscale stabilization for convection-diffusion equations with heterogeneous velocity and diffusion coefficients.
Comput. Math. Appl., 2020

2019
Upscaling method for problems in perforated domains with non-homogeneous boundary conditions on perforations using Non-Local Multi-Continuum method (NLMC).
J. Comput. Appl. Math., 2019

A Generalized Multiscale Finite Element Method (GMsFEM) for perforated domain flows with Robin boundary conditions.
J. Comput. Appl. Math., 2019

Space-Time Nonlinear Upscaling Framework Using Non-local Multi-continuum Approach.
CoRR, 2019

2018
An Adaptive Generalized Multiscale Discontinuous Galerkin Method for High-Contrast Flow Problems.
Multiscale Model. Simul., 2018

Cluster-based generalized multiscale finite element method for elliptic PDEs with random coefficients.
J. Comput. Phys., 2018

Non-local multi-continua upscaling for flows in heterogeneous fractured media.
J. Comput. Phys., 2018

Fast online generalized multiscale finite element method using constraint energy minimization.
J. Comput. Phys., 2018

Multiscale model reduction for transport and flow problems in perforated domains.
J. Comput. Appl. Math., 2018

Generalized multiscale finite element methods for space-time heterogeneous parabolic equations.
Comput. Math. Appl., 2018

Upscaled Model for Mixed Dimensional Coupled Flow Problem in Fractured Porous Media Using Non-local Multicontinuum (NLMC) Method.
Proceedings of the Finite Difference Methods. Theory and Applications, 2018

2016
Mixed GMsFEM for second order elliptic problem in perforated domains.
J. Comput. Appl. Math., 2016

Goal-oriented adaptivity for GMsFEM.
J. Comput. Appl. Math., 2016

Mixed GMsFEM for the simulation of waves in highly heterogeneous media.
J. Comput. Appl. Math., 2016

2015
Residual-driven online generalized multiscale finite element methods.
J. Comput. Phys., 2015

Multiscale Simulations for Coupled Flow and Transport Using the Generalized Multiscale Finite Element Method.
Comput., 2015

2014
Generalized Multiscale Finite Element Methods for Wave Propagation in Heterogeneous Media.
Multiscale Model. Simul., 2014


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