3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Global-Aware Enhanced Spatial-Temporal Graph Recurrent Networks: A New Framework For Traffic Flow Prediction
Haiyang Liu, Chunjiang Zhu, Detian Zhang
Traffic flow prediction plays a crucial role in alleviating traffic congestion and enhancing transport efficiency. While combining graph convolution networks with recurrent neural…
cs.LG2023
Multi-Scale Spatial-Temporal Recurrent Networks for Traffic Flow Prediction
Haiyang Liu, Chunjiang Zhu, Detian Zhang +1
Traffic flow prediction is one of the most fundamental tasks of intelligent transportation systems. The complex and dynamic spatial-temporal dependencies make the traffic flow pred…
cs.LG2023★ 3 cited
Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
Haiyang Liu, Chunjiang Zhu, Detian Zhang +1
Traffic forecasting is one of the most fundamental problems in transportation science and artificial intelligence. The key challenge is to effectively model complex spatial-tempora…