Exploring best-matched embedding model and classifier for charging-pile fault diagnosis.
Cybersecur., December, 2023
Self-Training Enabled Efficient Classification Algorithm: An Application to Charging Pile Risk Assessment.
IEEE Access, 2022
Maintenance Worker Scheduling for Charging Pile Fault: a Multi-Agent RL Approach.
Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2022