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Jiawei Yong

2 accepted papers

2025

How Different from the Past? Spatio-Temporal Time Series Forecasting with Self-Supervised Deviation Learning

NeurIPS 2025poster

Spatio-temporal forecasting is essential for real-world applications such as traffic management and urban computing. Although recent methods have shown improved accuracy, they often fail to account for dynamic deviations between current inputs and historical patterns. These deviations contain critic…

Cited by 0SourcecodeScholar
2023

Spatio-Temporal Meta-Graph Learning for Traffic Forecasting

AAAI 2023technical

Traffic forecasting as a canonical task of multivariate time series forecasting has been a significant research topic in AI community. To address the spatio-temporal heterogeneity and non-stationarity implied in the traffic stream, in this study, we propose Spatio-Temporal Meta-Graph Learning as a n…