Day-ahead Energy Sharing Schedule for the P2P Prosumer Community Using LSTM and Swarm Intelligence. - Luyao Zou; Md. Shirajum Munir; Kitae Kim 001; Choong Seon Hong (ICOIN, 2020)

Intelligent Grid Shepherd: Towards a Resilient Distributed Energy Resources Control System. - Md. Shirajum Munir; DoHyeon Kim; Seok Won Kang; Luyao Zou; Choong Seon Hong (APNOMS, 2021)

An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning. - Loc X. Nguyen; Luyao Zou; Huy Q. Le; Choong Seon Hong (APNOMS, 2022)

Clustering-Based Serverless Edge Computing Assisted Federated Learning for Energy Procurement. - Luyao Zou; Md. Shirajum Munir; Ye Lin Tun 001; Choong Seon Hong (APNOMS, 2022)

Intelligent EV Charging for Urban Prosumer Communities: An Auction and Multi-Agent Deep Reinforcement Learning Approach. - Luyao Zou; Md. Shirajum Munir; Yan Kyaw Tun; Seok Won Kang; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2022)

Federated Multimodal Learning for IoT Applications: A Contrastive Learning Approach. - Huy Q. Le; Yu Qiao 004; Loc X. Nguyen; Luyao Zou; Choong Seon Hong (APNOMS, 2023)

EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective. - Luyao Zou; Huy Q. Le; Avi Deb Raha; Dong Uk Kim; Choong Seon Hong (APNOMS, 2023)

Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction. - Luyao Zou; Chu Myaet Thwal; Seong-Bae Park; Choong Seon Hong (ICOIN, 2023)

Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design. - Luyao Zou; Sheikh Salman Hassan; Yan Kyaw Tun; Zhu Han 001; Choong Seon Hong (NOMS, 2023)

When Hierarchical Federated Learning Meets Stochastic Game: Toward an Intelligent UAV Charging in Urban Prosumers. - Luyao Zou; Md. Shirajum Munir; Yan Kyaw Tun; Sheikh Salman Hassan; Pyae Sone Aung; Choong Seon Hong (IEEE Internet Things J., 2023)

Enhanced Feature Extraction with Superlet Transformation for EEG Emotion Classification. - Qiyu Guan; Luyao Zou; Zhipeng Hao; Jun Li; Xiaoying Qian; Lixia Zhang; Hui Zhou (i-CREATe, 2024)

Cyber Attacks Prevention Towards Prosumer-based EV Charging Stations: An Edge-assisted Federated Prototype Knowledge Distillation Approach. - Luyao Zou; Quang Hieu Vo; Kitae Kim 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (CoRR, 2024)

Collaborative Computing Services at Ground, Air, and Space: An Optimization Approach. - Yan Kyaw Tun; Ki Tae Kim 001; Luyao Zou; Zhu Han 001; György Dán; Choong Seon Hong (IEEE Trans. Veh. Technol., 2024)

Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach. - Luyao Zou; Md. Shirajum Munir; Sheikh Salman Hassan; Yan Kyaw Tun; Loc X. Nguyen; Choong Seon Hong (IEEE Trans. Veh. Technol., 2024)

Towards Satellite Non-IID Imagery: A Spectral Clustering-Assisted Federated Learning Approach. - Luyao Zou; Yu Min Park; Chu Myaet Thwal; Yan Kyaw Tun; Zhu Han 001; Choong Seon Hong (NOMS, 2025)

Cyber Attacks Prevention Toward Prosumer-Based EV Charging Stations: An Edge-Assisted Federated Prototype Knowledge Distillation Approach. - Luyao Zou; Quang Hieu Vo; Kitae Kim 001; Huy Q. Le; Chu Myaet Thwal; Chaoning Zhang; Choong Seon Hong (IEEE Trans. Netw. Serv. Manag., 2025)