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Shaoqi Zhang

2 accepted papers

2026

When and How to Adapt: Subject Shifts Detection and Prototype-Guided Correction for Online EEG Decoding

IJCAI 2026

Online EEG decoding is pivotal for real-world Brain-Computer Interfaces (BCIs) but confronts significant challenges arising from continuous distribution shifts, including both inter- and intra-subject variations. Existing Unsupervised Continual Domain Adaptation (UCDA) methods typically rely on rigi

Cited by 0Scholar
2025

REFED: A Subject Real-time Dynamic Labeled EEG-fNIRS Synchronized Recorded Emotion Dataset

NeurIPS 2025poster

Affective brain-computer interfaces (aBCIs) play a crucial role in personalized human–computer interaction and neurofeedback modulation. To develop practical and effective aBCI paradigms and to investigate the spatial-temporal dynamics of brain activity under emotional inducement, portable electroen…

Cited by 0SourceScholar