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Xiaozhe Hu

64 papers hereh-index 231.7k citations101 works total

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

author position
  • first author13
  • middle author38
  • last author13

Across the 64 of 64 papers where every author was matched, so the position is known.

fields
  • math.NA54
  • stat.ML2
  • astro-ph.SR1
  • cs.LG1
  • math.AP1
  • math.CV1
same name
  • Xiaozhe Hu — 4 papers, h 2
  • Xiaozhe Hu — 2 papers, h 3
  • Xiaozhe Hu — 1 paper
  • Xiaozhe Hu — 1 paper, h 0

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
20122026
most citedStability and Monotonicity for Some Discretizations of the Biot's Model

128 citations · 513 across the 59 of their papers we have counts for

collaborators
Showing 2021Show all

4 papers · 1 filter

math.NA2021

An Enriched Galerkin Method for the Stokes Equations

Son-Young Yi, Xiaozhe Hu, Sanghyun Lee +1

We present a new enriched Galerkin (EG) scheme for the Stokes equations based on piecewise linear elements for the velocity unknowns and piecewise constant elements for the pressur…

math.NA2021★ 13 cited

An Efficient High-order Numerical Solver for Diffusion Equations with Strong Anisotropy

David Green, Xiaozhe Hu, Jeremy Lore +2

In this paper, we present an interior penalty discontinuous Galerkin finite element scheme for solving diffusion problems with strong anisotropy arising in magnetized plasmas for f…

math.NA2021

Monolithic multigrid for a reduced-quadrature discretization of poroelasticity

James H. Adler, Yunhui He, Xiaozhe Hu +2

Advanced finite-element discretizations and preconditioners for models of poroelasticity have attracted significant attention in recent years. The equations of poroelasticity offer…

cs.LG2021

Ladder Polynomial Neural Networks

Li-Ping Liu, Ruiyuan Gu, Xiaozhe Hu

Polynomial functions have plenty of useful analytical properties, but they are rarely used as learning models because their function class is considered to be restricted. This work…

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