Seo-Hyun Lee
Seo-Hyun Lee has 1 paper in the ChatPPG research atlas (2026), linked to 1 model and 3 co-authors in the atlas. Main topics: EEG, foundation-model, language-alignment, latent-prediction, SSL, biosignal-to-text.
Papers
- Continuous-Latent Predictive Modeling with Semantic Alignment for EEG-Language Foundation Models2026 · arXiv preprint
BLPM is an EEG-language foundation model that treats different EEG decoding tasks as predicting a continuous semantic embedding. Its encoder learns by predicting latent targets, and it generalized consistently across several benchmarks.
- Published: arXiv preprint, 2026
- Signals: EEG
- Method: continuous EEG latent prediction with semantic alignment