3 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2023
Prediction of single well production rate in water-flooding oil fields driven by the fusion of static, temporal and spatial information
Chao Min, Yijia Wang, Huohai Yang +1
It is very difficult to forecast the production rate of oil wells as the output of a single well is sensitive to various uncertain factors, which implicitly or explicitly show the…
cs.LG2022★ 1 cited
Multi-Spatio-temporal Fusion Graph Recurrent Network for Traffic forecasting
Wei Zhao, Shiqi Zhang, Bing Zhou +1
Traffic forecasting is essential for the traffic construction of smart cities in the new era. However, traffic data's complex spatial and temporal dependencies make traffic forecas…
cs.LG2022★ 3 cited
STCGAT: A Spatio-temporal Causal Graph Attention Network for traffic flow prediction in Intelligent Transportation Systems
Wei Zhao, Shiqi Zhang, Bing Zhou +1
Air pollution and carbon emissions caused by modern transportation are closely related to global climate change. With the help of next-generation information technology such as Int…