5 papers
CoMemNet: A Continual Memory Network with Drift-Aware Sampling for Traffic Prediction
Mei Wu, Wenchao Weng, Wenxin Su +2
Traffic sensor networks evolve as sensors are added and traffic distributions change, whereas most forecasting models assume a fixed node set and repeatedly retrain on all availabl…
A Time-Enhanced Data Disentanglement Network for Traffic Flow Forecasting
Tianfan Jiang, Mei Wu, Wenchao Weng +2
In recent years, traffic flow prediction has become a highlight in the field of intelligent transportation systems. However, due to the temporal variations and dynamic spatial corr…
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…
MHGNet: Multi-Heterogeneous Graph Neural Network for Traffic Prediction
Mei Wu, Yiqian Lin, Tianfan Jiang +1
In recent years, traffic flow prediction has played a crucial role in the management of intelligent transportation systems. However, traditional forecasting methods often model non…
Pattern-Matching Dynamic Memory Network for Dual-Mode Traffic Prediction
Wenchao Weng, Mei Wu, Hanyu Jiang +3
In recent years, deep learning has increasingly gained attention in the field of traffic prediction. Existing traffic prediction models often rely on GCNs or attention mechanisms w…