89 citations · 89 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Dimensional Balance Improves Large Scale Spatiotemporal Prediction Performance
Jing Chen, Shixiang Pan, Yujie Fan +3
Accurate spatiotemporal pattern analysis is critical in fields such as urban traffic, meteorology, and public health monitoring. However, existing methods face performance bottlene…
cs.LG2025★ 89 cited
Dynamic Trend Fusion Module for Traffic Flow Prediction
Jing Chen, Haocheng Ye, Zhian Ying +2
Accurate traffic flow prediction is essential for applications like transport logistics but remains challenging due to complex spatio-temporal correlations and non-linear traffic p…
cs.LG2025
SFADNet: Spatio-temporal Fused Graph based on Attention Decoupling Network for Traffic Prediction
Mei Wu, Wenchao Weng, Jun Li +3
In recent years, traffic flow prediction has played a crucial role in the management of intelligent transportation systems. However, traditional prediction methods are often limite…