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Shuai Zhai

2 accepted papers

2026

A Pure Hierarchical Spectral Parcellation Network for Brain Network Analysis

ICML 2026poster

Brain network classification is pivotal for diagnosing neurological disorders, yet clinical interpretability and the identification of discriminative biomarkers fundamentally rely on precise functional parcellation. However, existing graph learning models for brain network analysis typically suffer …

Cited by 0SourceScholar
2026

End-to-end Graph-structured Brain Representation Learning

ICML 2026poster

The construction of the brain functional network often follows the hand-crafted Correlation Coefficients of blood-oxygen-level-dependent (BOLD) time series without any learnable components. Meanwhile, most efforts are made to the models, such as graph neural networks, that make predictions with the …

Cited by 0SourceScholar