Guojian Zou

Orcid: 0000-0002-6490-1583

According to our database1, Guojian Zou authored at least 10 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-task-based spatiotemporal generative inference network: A novel framework for predicting the highway traffic speed.
Expert Syst. Appl., March, 2024

2023
When Will We Arrive? A Novel Multi-Task Spatio-Temporal Attention Network Based on Individual Preference for Estimating Travel Time.
IEEE Trans. Intell. Transp. Syst., October, 2023

A spatial correlation prediction model of urban PM2.5 concentration based on deconvolution and LSTM.
Neurocomputing, August, 2023

Impact Evaluation of Cyberattacks on Connected and Automated Vehicles in Mixed Traffic Flow and Its Resilient and Robust Control Strategy.
Sensors, 2023

How to Accurately Predict Traffic Speed Using Simple Input Variables? A Novel Self-Supervised Spatio-Temporal Bilateral Learning Network.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Multi-Task-Based Spatio-Temporal Generative Inference Network for Predicting Highway Traffic Speed.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Fusion Deep Learning Network for Shared e-Bike Demand Prediction with Spatiotemporal Dependencies.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
RCL-Learning: ResNet and convolutional long short-term memory-based spatiotemporal air pollutant concentration prediction model.
Expert Syst. Appl., 2022

2021
FDN-learning: Urban PM<sub>2.5</sub>-concentration Spatial Correlation Prediction Model Based on Fusion Deep Neural Network.
Big Data Res., 2021

2019
A Novel Combined Prediction Scheme Based on CNN and LSTM for Urban PM<sub>2.5</sub> Concentration.
IEEE Access, 2019


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