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Yuwen Li

33 papers hereh-index 15999 citations139 works total

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

author position
  • sole author9
  • first author13
  • middle author6
  • last author4

Across the 32 of 33 papers where every author was matched, so the position is known.

fields
  • math.NA29
  • cs.LG3
  • math.FA1
same name
  • Yuwen Li — 7 papers, h 13
  • Yuwen Li — 4 papers, h 3
  • Yuwen Li — 4 papers, h 0
  • Yuwen Li — 3 papers, h 4
  • Yuwen Li — 2 papers
  • Yuwen Li — 1 paper, 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 citedA unified framework of continuous and discontinuous Galerkin methods for solving the incompressible Navier--Stokes equation

15 citations · 139 across the 32 of their papers we have counts for

collaborators
Showing 2025Show all

4 papers · 1 filter

math.NA2025

Some p-robust a posteriori error estimates based on auxiliary spaces

Yuwen Li

This work develops polynomial-degree-robust (p-robust) equilibrated a posteriori error estimates for H(curl), H(div) and H(divdiv) problems, based on H1 auxili…

math.NA2025

Smoother-type a posteriori error estimates for finite element methods

Yuwen Li, Han Shui

This work develops user-friendly a posteriori error estimates of finite element methods, based on smoothers of linear iterative solvers. The proposed method employs simple smoother…

cs.LG2025

Some Super-approximation Rates of ReLU Neural Networks for Korobov Functions

Yuwen Li, Guozhi Zhang

This paper examines the Lp​ and Wp1​ norm approximation errors of ReLU neural networks for Korobov functions. In terms of network width and depth, we derive nearly optimal sup…

cs.LG2025

Higher Order Approximation Rates for ReLU CNNs in Korobov Spaces

Yuwen Li, Guozhi Zhang

This paper investigates the Lp​ approximation error for higher order Korobov functions using deep convolutional neural networks (CNNs) with ReLU activation. For target functions…

◍wovepaper

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