Author

Meng-Yao Zhou

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Preprint Sep 2026

Edge-centric Brain Transformer: An Edge-centric Functional Connectivity Learning Framework for fMRI-based Brain Disorder Diagnosis

Resting-state functional magnetic resonance imaging (rs-fMRI) enables the characterization of functional interactions among distributed brain regions and has shown promise for brain disorder diagnosis. However, existing deep learning methods predominantly rely on node-centric representations, where brain regions serve...

Deng-Yi Zhao, Zhi-Heng Zhou, Meng-Yao Zhou et al. · 0 citations

Preprint Aug 2026

Towards Trustworthy Hypergraph Neural Networks under Label Noise

Hypergraph neural networks (HGNNs) have demonstrated remarkable capabilities in processing complex higher-order relationships. However, their performance is highly dependent on labeled data, making them vulnerable to label noise. Despite advances in learning with label noise (LLN) and graph learning with label noise (G...

Meng-Yao Zhou, Zhi-Heng Zhou, Xiao Han et al. · 0 citations

Jul 2026

From Diffusion to Reaction-Diffusion: A Dynamical-Systems View of Oversmoothing in Hypergraph Neural Networks

This work investigates hypergraph oversmoothing from a dynamical-systems perspective and develops a reaction--diffusion framework for depth-resistant hypergraph learning, which introduces a reaction mechanism acting on the transverse component to compensate diffusion-induced dissipation and stabilize discriminative var...

Zhi-Heng Zhou, Meng-Yao Zhou, Yan-Cheng Chen et al. · arXiv.org · 0 citations