Luyao Zou
Orcid: 0000-0002-4441-4390
According to our database1,
Luyao Zou
authored at least 16 papers
between 2020 and 2025.
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Bibliography
2025
Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach.
IEEE Trans. Netw. Serv. Manag., April, 2025
Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach.
Proceedings of the NOMS 2025 IEEE Network Operations and Management Symposium, 2025
2024
Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach.
IEEE Trans. Veh. Technol., March, 2024
Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach.
IEEE Trans. Veh. Technol., January, 2024
Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach.
CoRR, 2024
Enhanced Feature Extraction with Superlet Transformation for EEG Emotion Classification.
Proceedings of the 17th International Convention on Rehabilitation Engineering and Assistive Technology, 2024
2023
When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers.
IEEE Internet Things J., 2023
Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design.
Proceedings of the NOMS 2023, 2023
Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction.
Proceedings of the International Conference on Information Networking, 2023
EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective.
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023
Proceedings of the 24st Asia-Pacific Network Operations and Management Symposium, 2023
2022
Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., December, 2022
Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022
An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning.
Proceedings of the 23rd Asia-Pacific Network Operations and Management Symposium, 2022
2021
Intelligent Grid Shepherd: Towards a Resilient Distributed Energy Resources Control System.
Proceedings of the 22nd Asia-Pacific Network Operations and Management Symposium, 2021
2020
Day-ahead Energy Sharing Schedule for the P2P Prosumer Community Using LSTM and Swarm Intelligence.
Proceedings of the 2020 International Conference on Information Networking, 2020