most citedCascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition

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eess.SP2025

MMOC: Self-Supervised EEG Emotion Recognition Framework with Multi-Model Online Collaboration

Hanqi Wang, Yang Liu, Peng Ye +1

Electroencephalography (EEG) emotion recognition plays a crucial role in human-computer interaction, particularly in healthcare and neuroscience. While supervised learning has been…

eess.SP2024★ 1 cited

Explain EEG-based End-to-end Deep Learning Models in the Frequency Domain

Hanqi Wang, Kun Yang, Jingyu Zhang +2

The recent rise of EEG-based end-to-end deep learning models presents a significant challenge in elucidating how these models process raw EEG signals and generate predictions in th…

eess.SP2024★ 1 cited

Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition

Hanqi Wang, Tao Chen, Liang Song

EEG-based Emotion recognition holds significant promise for applications in human-computer interaction, medicine, and neuroscience. While deep learning has shown potential in this…