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Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Cuntai Guan

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2 papers indexed here

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Sep 2026

EEGDM: Label-Efficient EEG Representation Learning with Generative Diffusion Model.

Electroencephalography (EEG) is a critical tool for monitoring brain activity and diagnosing neurological disorders such as epilepsy. However, learning meaningful representations from raw EEG signals remains challenging due to limited annotations, substantial inter-subject variability, and complex temporal dynamics. Re...

Hong-Pu-Ah Jia, Sim Kuan Goh, Zi-Wei Zhang et al. · 0 citations
Preprint Aug 2026

EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding

Electroencephalography (EEG) decoding models often generalize poorly across datasets and subjects due to domain shifts in acquisition protocols and individual neurophysiology, but EEG-PRIME achieves balanced accuracy comparable to within-session calibration models without target-domain optimization, calibration, or lin...

Shuailei Zhang, Muyun Jiang, Wei Zhang et al. · 0 citations

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