1 citations · 2 across the 3 of their papers we have counts for
3 papers
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…