Jingfei Wang
Orcid: 0009-0001-0827-5661
According to our database1,
Jingfei Wang authored at least 14 papers
between 2020 and 2026.
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Bibliography
2026
Negative Voltage Active Turnoff Characteristics of RB-IGCT and Its Low Loss Application in Hybrid Commutated Converter.
IEEE Trans. Ind. Electron., May, 2026
Decentralized Federated Learning for Time Series Prediction in Electric Vehicle Charging Ecosystems.
IEEE Trans. Consumer Electron., February, 2026
Personalized federated learning with mixture of experts and conformal prediction for household energy forecasting.
Expert Syst. Appl., 2026
2025
A Multilevel Ultrahigh Gate Voltage Adaptive Closed-Loop Modulation Strategy for DC Breaker Applications.
IEEE Trans. Ind. Electron., July, 2025
A transfer reinforcement learning and digital-twin based task allocation method for human-robot collaboration assembly.
Eng. Appl. Artif. Intell., 2025
A reinforcement learning from human feedback based method for task allocation of human robot collaboration assembly considering human preference.
Adv. Eng. Informatics, 2025
2024
A Refinement Multilevel Turn-off Method for Dynamic Latch-up and Tail Current Suppression in DC Breaker Ultra-High Current Switch Applications.
IEEE Trans. Ind. Electron., March, 2024
3D guiding assisted augmented assembly technology with rapid object detection in dynamic environment.
Adv. Eng. Informatics, 2024
Proceedings of the 12th International Conference on Control, Mechatronics and Automation, 2024
A Path Planning Method Based on Deep Reinforcement Learning with Improved Prioritized Experience Replay for Human-Robot Collaboration.
Proceedings of the Human-Computer Interaction, 2024
2022
A Multi-person Collaborative Workshop RULA Verification Method Based on Augmented Reality.
Proceedings of the HCI International 2022 Posters, 2022
Augmented Reality-Based Rapid Digital Verification of the Body-in-white for Intelligent Manufacturing.
Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022
2020
Using Infrared Thermal Imaging to Study the Response of Athletes to Overload Training.
J. Medical Imaging Health Informatics, 2020