Author

Youngmin Kim

National Institute of EcologyORCID 0000-0003-3901-9123Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:contrastive learning· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:graph neural network· 1 Assay:imaging· 1

Frequent Co-Authors

Chang‐Seob YuniD· 1 shared Cheol‐Han KimiD· 1 shared Gea‐Jae JooiD· 1 shared

Activity by Year

2026-2026 · peak 1/yr

Co-Author Collaboration Network

3 top collaborators · 3 mutual co-author links

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1 shared paperEcology

Chang‐Seob YunORCID

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1 paper

Recent·Most cited

EcologyEcological Solutions and EvidencePeer-reviewedSep 27, 2026

Advancing Wildlife Image Analysis: A Graph Attention Contrastive Learning Approach for Region-Specific Mammal Classification

Youngmin Kim, Cheol‐Han Kim, Chang‐Seob Yun, Gea‐Jae Joo

This paper develops a region-specific AI model for mammal classification using graph attention contrastive learning, achieving high accuracy in recognizing local species and improving data cleaning efficiency.

1 citation

imagingdeep learning

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