Zepu Wang
According to our database1,
Zepu Wang
authored at least 13 papers
between 2022 and 2024.
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Bibliography
2024
Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks.
CoRR, 2024
Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks.
CoRR, 2024
SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Communications, 2024
2023
A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks.
Comput. Commun., September, 2023
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting.
CoRR, 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
CoRR, 2023
ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks.
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.
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.
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.
Proceedings of the IEEE International Conference on Communications, 2022
SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems.
Proceedings of the IEEE Global Communications Conference, 2022