2 citations · 2 across the 4 of their papers we have counts for
4 papers
Toward Adaptive BCIs: Enhancing Decoding Stability via User State-Aware EEG Filtering
Yeon-Woo Choi, Hye-Bin Shin, Dan Li
Brain-computer interfaces (BCIs) often suffer from limited robustness and poor long-term adaptability. Model performance rapidly degrades when user attention fluctuates, brain stat…
Prototype-Guided Non-Exemplar Continual Learning for Cross-subject EEG Decoding
Dan Li, Hye-Bin Shin, Yeon-Woo Choi
Due to the significant variability in electroencephalo-gram (EEG) signals across individuals, knowledge acquired from previous subjects is often overwritten as new subjects are int…
Personalized Continual EEG Decoding: Retaining and Transferring Knowledge
Dan Li, Hye-Bin Shin, Kang Yin +1
The significant inter-subject variability in electroen-cephalogram (EEG) signals often results in substantial changes to neural network weights as data distributions shift. This va…
EEG-based Multimodal Representation Learning for Emotion Recognition
Kang Yin, Hye-Bin Shin, Dan Li +1
Multimodal learning has been a popular area of research, yet integrating electroencephalogram (EEG) data poses unique challenges due to its inherent variability and limited availab…