Author

Likun Wang

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Preprint Aug 2026

Recurrent Contrastive Learning for Imbalanced Medical Image Classification

Recurrent Contrastive Learning progressively expands the support region of tail classes by recurrently reusing historical feature states across training phases and devise a Temporal Memory Queue (TMQ) to preserve corpus-level features across training phases and provide diversified global references for contrastive learning.

Zhiyuan Zhu, Xinling Meng, Junxuan Yu et al. · 0 citations

Preprint Aug 2026

SEER: A Self-Grounded Evidence Interface for Controlled Spatial Relation Classification

SEER (Self-grounded Evidence for Entity-Relation Reasoning), a training-free inference-time evidence interface for frozen VLMs, is proposed and established as the principal intervention, with reciprocal consistency as a smaller protocol-specific refinement.

Feixiang Liu, Likun Wang, Qiang Qiu et al. · 0 citations