Yue Wang

This study uses domain adaptation methods to reduce cross-ethnic prediction errors in neuroimaging-based cognitive prediction using the ABCD dataset.

The paper develops brain-based predictive models for childhood cognition using multimodal MRI data from the ABCD study, showing stability over time and partial mediation of socio-demographic, psychological, and genetic factors.

This paper uses an explainable machine learning framework to predict and explain cognitive differences from task-based fMRI data, finding that ML models outperform traditional methods in prediction and provide consistent explanations.

This study identifies CDH11 as an ASD-associated gene using matched-gene co-expression analysis and behavioral validation in mice.