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Weizhen Yu

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Conference Aug 2026

A deep learning framework for COVID-19 detection: integrating attention modules into ResNet50 and optimizing cross-entropy loss function

This paper presents a tri-class classification framework for distinguishing COVID-19, viral pneumonia, and normal cases from chest X-rays, built on a pre-trained ResNet50 and incorporates CBAM attention modules at two well-justified stages.

Weizhen Yu · 0 citations
#protein folding Preprint Aug 2026

CIR-DDG: backbone-agnostic residual correction of antibody-antigen affinity changes with explicit cross-chain geometry

CIR-DDG, a lightweight residual adapter that combines a fixed base prediction with 22 interpretable descriptors of cross-chain distance, contact density and site--partner context, is introduced, showing that the learned geometric correction generalizes beyond SKEMPI thermodynamic measurements.

Weizhen Yu, Zhi-Heng Zou, Yong-Gui Huang et al. · 0 citations

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