20 citations · 25 across the 5 of their papers we have counts for
5 papers
AirQualityBench: A Realistic Evaluation Benchmark for Global Air Quality Forecasting
Xing Xu, Xu Wang, Yudong Zhang +3
Air-quality forecasting models are commonly evaluated on regional, preprocessed, and normalized datasets, where missing observations are removed or artificially completed. Such pro…
Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective
Xu Wang, Pengfei Gu, Pengkun Wang +4
Spatiotemporal learning, which aims at extracting spatiotemporal correlations from the collected spatiotemporal data, is a research hotspot in recent years. And considering the inh…
Towards Learning in Grey Spatiotemporal Systems: A Prophet to Non-consecutive Spatiotemporal Dynamics
Zhengyang Zhou, Yang Kuo, Wei Sun +4
Spatiotemporal forecasting is an imperative topic in data science due to its diverse and critical applications in smart cities. Existing works mostly perform consecutive prediction…
STUaNet: Understanding uncertainty in spatiotemporal collective human mobility
Zhengyang Zhou, Yang Wang, Xike Xie +2
The high dynamics and heterogeneous interactions in the complicated urban systems have raised the issue of uncertainty quantification in spatiotemporal human mobility, to support c…
RiskOracle: A Minute-level Citywide Traffic Accident Forecasting Framework
Zhengyang Zhou, Yang Wang, Xike Xie +2
Real-time traffic accident forecasting is increasingly important for public safety and urban management (e.g., real-time safe route planning and emergency response deployment). Pre…