Boneng Shi

SpectroBird detects and curates individual avian vocalization events from field recordings, enabling detailed ecological analysis of vocalization patterns.

This paper introduces a biology-guided machine learning method for automated anatomical landmark transfer across diverse biological datasets, showing significant improvements in accuracy and robustness under severe perturbations.

LizardMorph automates anatomical landmark detection in biological images, achieving high accuracy and efficiency compared to manual methods.