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researcher

Xiao-jun Wu

10 papers hereh-index 682 citations19 works total

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

author position
  • middle author8
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.LG6
  • cs.CV3
  • math.DG1
same name
  • Xiao-jun Wu — 12 papers, h 7
  • Xiao-Jun Wu — 11 papers, h 4
  • Xiao-Jun Wu — 10 papers, h 8
  • Xiao-Jun Wu — 3 papers, h 2
  • Xiao-Jun Wu — 3 papers, h 3
  • Xiao-jun Wu — 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
20242026
most citedUnderstanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry

1 citations · 1 across the 10 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.LG2026

LieBN: Batch Normalization over Lie Groups

Ziheng Chen, Yue Song, Rui Wang +2

Manifold-valued measurements are prevalent in various machine learning tasks. Recent advances have extended Deep Neural Networks (DNNs) to operate on manifolds. These extensions ha…

cs.LG2026

Towards Robust EEG Decoding Based on Riemannian Self-Attention

Shaocheng Jin, Tao Zhou, Rui Wang +4

Brain-Computer Interface (BCI) based on electroencephalography (EEG) enables direct interaction between the brain and external environments and has significant applications in assi…

cs.CV2026

Weierstrass Positional Encoding for Vision Transformers

Zhihang Xin, Rui Wang, Xitong Hu +1

Vision Transformers have achieved remarkable success in computer vision, but their common use of learnable one-dimensional positional encodings weakens the inherent two-dimensional…

cs.LG2026

Riemannian Networks over Full-Rank Correlation Matrices

Ziheng Chen, Xiaojun Wu, Bernhard Schölkopf +1

Representations on the Symmetric Positive Definite (SPD) manifold have garnered significant attention across different applications. In contrast, the manifold of full-rank correlat…

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