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W. Leung

60 papers hereh-index 231.7k citations76 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author35
  • last author21

Across the 59 of 60 papers where every author was matched, so the position is known.

fields
  • math.NA59
  • cs.LG1
same name
  • W. Leung — 12 papers, h 1
  • W. Leung — 9 papers, h 2
  • W. Leung — 5 papers, h 4
  • W. Leung — 3 papers, h 3
  • W. Leung — 2 papers, h 3
  • W. Leung — 2 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20132026
most citedConstraint Energy Minimizing Generalized Multiscale Finite Element Method

202 citations · 748 across the 55 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

math.NA2023

Partially Explicit Generalized Multiscale Method for Poroelasticity Problem

Xin Su, Wing Tat Leung, Wenyuan Li +1

We develop a partially explicit time discretization based on the framework of constraint energy minimizing generalized multiscale finite element method (CEM-GMsFEM) for the problem…

math.NA2023

Multicontinuum homogenization. General theory and applications

E. Chung, Y. Efendiev, J. Galvis +1

In this paper, we discuss a general framework for multicontinuum homogenization. Multicontinuum models are widely used in many applications and some derivations for these models ar…

math.NA2023

Bayesian deep operator learning for homogenized to fine-scale maps for multiscale PDE

Zecheng Zhang, Christian Moya, Wing Tat Leung +2

We present a new framework for computing fine-scale solutions of multiscale Partial Differential Equations (PDEs) using operator learning tools. Obtaining fine-scale solutions of m…

math.NA2023

A discretization-invariant extension and analysis of some deep operator networks

Zecheng Zhang, Wing Tat Leung, Hayden Schaeffer

We present a generalized version of the discretization-invariant neural operator and prove that the network is a universal approximation in the operator sense. Moreover, by incorpo…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.