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Li-Ming Zhao

2 accepted papers

2024

Temporal-Spatial Prediction: Pre-Training on Diverse Datasets for EEG Classification

ICASSP 2024accepted

Electroencephalogram (EEG) classification tasks have received increasing attention because its high application value. Meanwhile, the great success of general pre-training models in language processing areas inspires us to excavate the potential of an EEG pre-trained model. This model is expected to…

Cited by 0SourceScholar
2021

Plug-and-Play Domain Adaptation for Cross-Subject EEG-based Emotion Recognition

AAAI 2021technical

Human emotion decoding in affective brain-computer interfaces suffers a major setback due to the inter-subject variability of electroencephalography (EEG) signals. Existing approaches usually require amassing extensive EEG data of each new subject, which is prohibitively time-consuming along with po…

Cited by 137SourcePDFScholar