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Author

Yu-Shi Hao

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Oct 2026

Graph diffusion convolution on multivariate weighted joint recurrence networks for seizure-state classification in intracranial EEG.

Discriminating interictal and ictal brain states is important for both seizure-state classification and the characterization of seizure-related network reorganization in drug-resistant epilepsy. Intracranial electroencephalography (iEEG) provides high-resolution recordings of brain activity, but its sparse, irregular,...

Qing Cai, Yu-Shi Hao, Jian-Peng An et al. · 0 citations
Open access Aug 2026

MTGNet: a task-oriented and spectrally guided framework for EEG denoising

The proposed MTGNet framework provides a practical approach to task-aware EEG denoising, while future work should further validate its applicability across real-world EEG settings involving diverse tasks, artifact types, and acquisition conditions.

Jin-Cheng Hu, Zhong-Ke Gao, Yu-Shi Hao et al. · 0 citations
Aug 2026

Graph convolution neural network channel selection with attention for motor imagery EEG decoding.

Experimental results demonstrate that the proposed approach achieves performance comparable to that obtained with all channels while using significantly fewer electrodes, and UniEEG-Net exhibits classification accuracy surpassing current state-of-the-art models.

Hao-Yu Li, Wei-Dong Dang, Lei Liu et al. · 0 citations

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