Papers by Jiahong Gao

1 papers
HYDEN: Hyperbolic Density Representations for Medical Images and Reports (2025.coling-main)

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Challenge: Existing methods for visual semantic representation learning struggle to address semantic uncertainty, especially in the medical domain.
Approach: They propose a hyperbolic density embedding based image-text representation learning approach tailored for specific medical domain data.
Outcome: The proposed method performs better than baseline methods on zero-shot tasks and fine-tuning tasks on different datasets.

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