most citedRevisiting Euclidean Alignment for Transfer Learning in EEG-Based Brain-Computer Interfaces

15 citations · 17 across the 21 of their papers we have counts for

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cs.CV2026

STEAM: A Spatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding

Zhu Chen, Dingkun Liu, Yuheng Chen +1

Brain-computer interfaces (BCIs) have been widely used in motor rehabilitation, disease diagnosis, and other neural engineering scenarios. However, conventional neural signal decod…

cs.CV2025★ 1 cited

MIRepNet: A Pipeline and Foundation Model for EEG-Based Motor Imagery Classification

Dingkun Liu, Zhu Chen, Jingwei Luo +2

Brain-computer interfaces (BCIs) enable direct communication between the brain and external devices. Recent EEG foundation models aim to learn generalized representations across di…