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researcher

Xuan Zhou

4 papers hereh-index 120 citations6 works total

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

author position
  • middle author2
  • last author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • math.GT1
same name
  • Xuan Zhou — 2 papers, h 6
  • Xuan Zhou — 2 papers, h 1
  • Xuan Zhou — 1 paper, h 2
  • Xuan Zhou — 1 paper, h 0
  • Xuan Zhou — 1 paper, h 2
  • Xuan Zhou — 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

works on
deep learning theory 1function approximation 1network width 1residual networks 1universal approximation 1

From the 1 of 4 linked papers with an AI index.

collaborators

4 papers

cs.LG2026

Minimum Block Width for Universal Approximation by Residual Neural Networks with Inner Width One

Qi Zhou, Xuan Zhou, Xiao-Song Yang

The paper analyzes the minimal block width required for residual neural networks with inner width one to achieve universal function approximation, proving it equals the larger of i…

math.GT2026

On the mathematics table problem

Xiao-Song Yang, Xuan Zhou

In this paper we study the mathematical table problem from a geometric-topological point of view. We prove a zero-existence theorem on a cylinder, which gives a new proof of Fenn's…

cs.LG2026

Relocation of compact sets in Rn by diffeomorphisms and linear separability of datasets in Rn

Xiao-Song Yang, Xuan Zhou, Qi Zhou

Relocation of compact sets in an n-dimensional manifold by self-diffeomorphism is of its own interest as well as significant potential applications to data classification in data…

cs.LG2025

Minimum Width of Deep Narrow Networks for Universal Approximation

Xiao-Song Yang, Qi Zhou, Xuan Zhou

Determining the minimum width of fully connected neural networks has become a fundamental problem in recent theoretical studies of deep neural networks. In this paper, we study the…

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