Author

Yuheng Chen

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Review Open access Jan 2026

EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models

The results indicate that: 1) linear probing is frequently insufficient; 2) specialist models trained from scratch remain competitive across many tasks; and 3) larger FMs do not necessarily yield better generalization performance under current data regimes and training practices.

Dingkun Liu, Yu-Heng Chen, Zhu Chen et al. · National Science Review · 12 citations · ⚡3

Preprint Aug 2026

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

STEAM is presented, a hierarchical transfer framework that reconciles general-purpose representation learning with paradigm-specific specialization in EEG foundation models and attains the best average rank among the compared methods at a competitive inference cost measured in FLOPs.

Zhu Chen, Dingkun Liu, Yu-Heng Chen et al. · 0 citations

Preprint Aug 2026

VicEdit: Learning to Edit Videos from Visual In-Context Examples

This work proposes Visual In-context Editing, a new paradigm elevating video editing from textual instructions to multi-modal visual guidance encompassing single image, image pair, and video pair, and curates VicEdit-400K, the first large-scale dataset for visual in-context video editing.

Yu-Ji Wang, Teng Hu, Yu-Heng Chen et al. · 0 citations