Jun Li

Orcid: 0000-0003-3062-4140

Affiliations:
  • Sun Yat-sen University, School of Intelligent Systems Engineering, Guangzhou, China
  • Nagoya University, Japan (PhD)


According to our database1, Jun Li authored at least 9 papers between 2022 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

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Bibliography

2024
A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction.
IEEE Trans. Intell. Transp. Syst., October, 2024

Attention-based Citywide Electric Vehicle Charging Demand Prediction Approach Considering Urban Region and Dynamic Influences.
CoRR, 2024

Multimodal joint prediction of traffic spatial-temporal data with graph sparse attention mechanism and bidirectional temporal convolutional network.
Adv. Eng. Informatics, 2024

2023
An Integrated Approach for the Near Real-Time Parking Occupancy Prediction.
IEEE Trans. Intell. Transp. Syst., April, 2023

Trajectory Generation of Ultra-Low-Frequency Travel Routes in Large-Scale Complex Road Networks.
Syst., February, 2023

A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction.
CoRR, 2023

Traffic Spatial-Temporal Prediction Based on Neural Architecture Search.
Proceedings of the 18th International Symposium on Spatial and Temporal Data, 2023

PI-Parking: A Physics Informed Neural Network Approach for Parking Availability Prediction.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

2022
Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn.
Proceedings of the Knowledge Science, Engineering and Management, 2022


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