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Yuqi Su

A Two-Stage Federated Learning Approach for Industrial Prognostics Using Large-Scale High-Dimensional Signals

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Oct 14, 2024
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Improving EEG Classification Through Randomly Reassembling Original and Generated Data with Transformer-based Diffusion Models

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Jul 20, 2024
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EEGMamba: Bidirectional State Space Models with Mixture of Experts for EEG Classification

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Jul 20, 2024
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Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes

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May 09, 2024
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Federated Multilinear Principal Component Analysis with Applications in Prognostics

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Dec 11, 2023
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