Author

Hong-Zhou Chen

3 papers indexed here

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Book Open access Nov 2026

UniNeuro: A Unified EEG Foundation Model for Heterogeneous EEG Task Learning

Electroencephalography (EEG), as a non-invasive physiological signal, plays an increasingly important role in human-centered multimedia systems, supporting applications ranging from emotion recognition and cognitive load assessment to motor-imagery-based control. However, due to the substantial differences in temporal...

Hai-Yang Lu, Liang-Hua He, Hong-Zhou Chen et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Pythia: Toward Foundation World Models for Multimodal Time Series

Time-series foundation models offer a unified approach to forecasting across heterogeneous domains. Textual context and auxiliary observations provide complementary information about temporal dynamics, yet reusable multimodal predictive representations remain underexplored. We introduce Pythia, a foundation world model...

Xilin Dai, Hong-Zhou Chen, Yi-Fan Hu et al. · 2 citations

#artificial intelligence Preprint Sep 2026

Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context

A unified benchmark for multimodal time series forecasting with heterogeneous context, MUSE-Bench enables systematic evaluation of how forecasting models utilize context and provides a foundation for future multimodal forecasting research.

Peng Chen, Zhi-Hao Zhuang, Hong-Zhou Chen et al. · 3 citations