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Supervised graph contrastive learning for cancer subtype identification through multi-omics data integration

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  1. Article

    Open Access

    Two-dimensional materials for future information technology: status and prospects

    Over the past 70 years, the semiconductor industry has undergone transformative changes, largely driven by the miniaturization of devices and the integration of innovative structures and materials. Two-dimensi...

    Hao Qiu, Zhihao Yu, Tiange Zhao, Qi Zhang… in Science China Information Sciences (2024)

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  2. Article

    Open Access

    Massively parallel non-stationary EEG data processing on GPGPU platforms with Morlet continuous wavelet transform

    Morlet continuous wavelet transform (MCWT) has been widely used to process non-stationary electro-encephalogram (EEG) data. Nowadays, the MCWT application for processing EEG data is time-sensitive and data-int...

    Ze Deng, Dan Chen, Yangyang Hu, **aoming Wu… in Journal of Internet Services and Applicati… (2012)

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