Jianlin Tang

Orcid: 0009-0000-7720-1423

According to our database1, Jianlin Tang authored at least 12 papers between 2018 and 2024.

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

Timeline

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Bibliography

2024
Magnetic coupling resonant ultra-high voltage electric vehicle wireless charging system based on parity-time symmetry.
Int. J. Circuit Theory Appl., April, 2024

Federated learning-based privacy-preserving electricity load forecasting scheme in edge computing scenario.
Int. J. Commun. Syst., 2024

2023
An input-parallel output-series wireless power transfer scheme for automatic vehicle modular and misalignment-tolerant charging.
Int. J. Circuit Theory Appl., September, 2023

Low-carbon economic dispatch of integrated energy system considering electric vehicles.
Proceedings of the IEEE Sustainable Power and Energy Conference, 2023

Electric Vehicle Charging Load Prediction Method Based on Nonlinear Auto-Regressive Neural Networks.
Proceedings of the 4th International Conference on Computer Engineering and Intelligent Control, 2023

Short-term load prediction of electric vehicle charging station based on Long-Short-Term Memory Neural Network.
Proceedings of the 4th International Conference on Computer Engineering and Intelligent Control, 2023

2022
Improved Vehicle LiDAR Calibration With Trajectory-Based Hand-Eye Method.
IEEE Trans. Intell. Transp. Syst., 2022

Map fusion algorithm for multi-unmanned systems in GNSS-denied environment.
Proceedings of the 7th International Conference on Automation, 2022

2019
Road Detection for autonomous truck in mine environment.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Real-time Display Method for Mining Vehicle Simulation based on Virtual reality.
Proceedings of the 28th IEEE International Symposium on Industrial Electronics, 2019

2018
Multi-Agent Bargaining Learning for Distributed Energy Hub Economic Dispatch.
IEEE Access, 2018

End-to-End Driving Activities and Secondary Tasks Recognition Using Deep Convolutional Neural Network and Transfer Learning.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018


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