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Kang Li

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#machine learning Preprint Sep 2026

Learning When to Recur: Token-Adaptive Recursion for Imbalanced Ophthalmic Domain Incremental Learning

Domain incremental learning is essential for adapting ophthalmic deep learning models to sequential clinical domains while preserving diagnostic expertise. Existing domain incremental learning methods predominantly address the domain shift induced by style variations. However, they often overlook the severe class imbal...

Nan-Xi Yu, Kang Li, Ye Du et al. · 0 citations
Jul 2026

HiVLR: Hierarchical Vision-Language Reasoning for interpretable zero-shot radiography image understanding

This work revisits how human doctors reason from a patient's radiology image for diagnosis, and proposes a Hierarchical Vision-Language Reasoning (HiVLR) framework based on the clinical diagnostic workflow, and attaches a concept-based interpretable diagnosis block to improve the accuracy and interpretability in downst...

Xilin Dang, Kang Li, Pheng-Ann Heng · 0 citations

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