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Yangxuan Zhou

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#machine learning Preprint Oct 2026

ZeroMAG: Zero-Shot Multimodal Adapter Generation for Plug-and-Play EEG Foundation Models

EEG foundation models (EFMs) capture reusable knowledge from large-scale EEG data, while many EEG recordings also include companion physiological signals that provide complementary information beyond the EEG-only interface. The challenge is to preserve this pretrained knowledge while extending the EFM to heterogeneous...

Yu-Bo Wang, Jing-Ying Ma, Xin-Liang Zhou et al. · 0 citations
#artificial intelligence Preprint Aug 2026

BrainBench: Benchmarking Large Language Models for Comprehensive EEG Understanding

A unified benchmark for comprehensive, instruction-conditioned EEG understanding is introduced and results vary substantially across models, subsets, difficulty levels, and execution paradigms, showing that EEG competence depends on the model and its operationalization.

Yangxuan Zhou, Yu-Ning Chen, Chentian Wu et al. · 0 citations

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