Author

Guang-Liang Li

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Preprint Aug 2026

A Multi-Scale Temporal Framework with Dynamic Fusion for EEG-Based Emotion Recognition

This study introduces a multi-scale temporal framework for EEG-based emotion recognition that is decomposed into windows of one or several durations, processed by a shared attention-based encoder, and integrated through a dynamic fusion module that assigns sample-specific weights across temporal scales.

Stefanos Gkikas, Yang-Lu Guo, Guang-Liang Li et al. · 3 citations