Zepu Wang

According to our database, Zepu Wang authored at least 8 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks.

Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Comput. Commun., September, 2023

ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.

Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor

CoRR, 2023

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.

Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun

CoRR, 2023

ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.

Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory.

Zepu Wang, Yifei Sun, Zhiyu Lei, Xincheng Zhu, Peng Sun

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction.

Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2022

A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network.

Zepu Wang, Peng Sun, Azzedine Boukerche

Proceedings of the IEEE International Conference on Communications, 2022

SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems.

Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche

Proceedings of the IEEE Global Communications Conference, 2022