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Xiaoxiao Li

20 papers hereh-index 192.3k citations28 works total

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

author position
  • first author8
  • middle author9
  • last author2

Across the 19 of 20 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.LG5
  • q-bio.NC4
  • eess.IV2
  • cs.DC1
  • stat.ML1
same name
  • Xiaoxiao Li — 24 papers, h 15
  • Xiaoxiao Li — 17 papers, h 10
  • Xiaoxiao Li — 11 papers, h 12
  • Xiaoxiao Li — 11 papers, h 9
  • Xiaoxiao Li — 11 papers, h 5
  • Xiaoxiao Li — 9 papers, h 7

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
20182023
most citedGATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis

72 citations · 332 across the 20 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

q-bio.NC2022★ 4 cited

Interpretable Graph Neural Networks for Connectome-Based Brain Disorder Analysis

Hejie Cui, Wei Dai, Yanqiao Zhu +3

Human brains lie at the core of complex neurobiological systems, where the neurons, circuits, and subsystems interact in enigmatic ways. Understanding the structural and functional…

cs.LG2022★ 72 cited

GATE: Graph CCA for Temporal SElf-supervised Learning for Label-efficient fMRI Analysis

Liang Peng, Nan Wang, Jie Xu +2

In this work, we focus on the challenging task, neuro-disease classification, using functional magnetic resonance imaging (fMRI). In population graph-based disease analysis, graph…

cs.CV2022★ 65 cited

Evaluating Explainable AI on a Multi-Modal Medical Imaging Task: Can Existing Algorithms Fulfill Clinical Requirements?

Weina Jin, Xiaoxiao Li, Ghassan Hamarneh

Being able to explain the prediction to clinical end-users is a necessity to leverage the power of artificial intelligence (AI) models for clinical decision support. For medical im…

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