Jinzhu Yang

Achieve superior depression detection by disentangling multimodal representations and adaptively fusing them based on individual characteristics.

Ditching predefined functional sub-networks unlocks state-of-the-art brain disorder diagnosis by learning hierarchical brain network organization directly from fMRI data.

BrainSTR disentangles subtle disease signatures in dynamic brain networks by explicitly modeling spatio-temporal dependencies with contrastive learning, revealing interpretable biomarkers for neuropsychiatric disorders.