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cs.LG2026
RL-BioAug: Label-Efficient Reinforcement Learning for Self-Supervised EEG Representation Learning
Cheol-Hui Lee, Hwa-Yeon Lee, Dong-Joo Kim
The quality of data augmentation serves as a critical determinant for the performance of contrastive learning in EEG tasks. Although this paradigm is promising for utilizing unlabe…
cs.LG2025
PhysioME: A Robust Multimodal Self-Supervised Framework for Physiological Signals with Missing Modalities
Cheol-Hui Lee, Hwa-Yeon Lee, Min-Kyung Jung +1
Missing or corrupted modalities are common in physiological signal-based medical applications owing to hardware constraints or motion artifacts. However, most existing methods assu…