Luyao Zou

Orcid: 0000-0002-4441-4390

According to our database1, Luyao Zou authored at least 16 papers between 2020 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

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

Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach.
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


  Loading...