Author

Zhen-Qiang Zhou

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Conference Open access Sep 2026

StreamMTS: Towards Streaming Multivariate Time Series Forecasting

Current mainstream research in multivariate time series (MTS) forecasting often assumes that all data are static. However, real-world MTS data typically arrives continuously in a streaming manner, which we refer to as streaming MTS. The statistical characteristics and spatiotemporal graph topology of these data evolve...

Binwu Wang, Jia-Ming Ma, Yudong Zhang et al. · Proceedings of the Thirty-Fi... · 0 citations

#graph neural networks Sep 2026

MADGCN: A Meteorology-Aware Spatio-Temporal Graph Convolution Network for Long-Term Air Pollution Forecasting

Air quality forecasting has attracted increasing attention as global air pollution worsens. Spatiotemporal graph neural networks have become a leading paradigm, thanks to their ability to capture complex spatial and temporal dynamics in Air Quality Index (AQI) data. However, existing methods remain limited by weak mode...

Binwu Wang, Zhiqing Cui, Guangjun Wang et al. · IEEE Transactions on Knowled... · 0 citations