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researcher

Kaiyang Liao

5 papers hereh-index 10401 citations47 works total

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

author position
  • middle author5

Across the 5 of 5 papers where every author was matched, so the position is known.

fields
  • cs.CV4
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedStructure fusion based on graph convolutional networks for semi-supervised classification

16 citations · 24 across the 5 of their papers we have counts for

collaborators
Showing 2020Show all

2 papers · 1 filter

cs.CV2020★ 2 cited

High-order structure preserving graph neural network for few-shot learning

Guangfeng Lin, Ying Yang, Yindi Fan +3

Few-shot learning can find the latent structure information between the prior knowledge and the queried data by the similarity metric of meta-learning to construct the discriminati…

cs.CV2020

Deep graph learning for semi-supervised classification

Guangfeng Lin, Xiaobing Kang, Kaiyang Liao +2

Graph learning (GL) can dynamically capture the distribution structure (graph structure) of data based on graph convolutional networks (GCN), and the learning quality of the graph…

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