| Intelligent EV charging for urban prosumer communities: An auction and multi-agent deep reinforcement learning approach L Zou, MS Munir, YK Tun, S Kang, CS Hong IEEE Transactions on Network and Service Management 19 (4), 4384-4407, 2022 | 20 | 2022 |
| Day-ahead energy sharing schedule for the P2P prosumer community using LSTM and swarm intelligence L Zou, MS Munir, K Kim, CS Hong 2020 International Conference on Information Networking (ICOIN), 396-401, 2020 | 19 | 2020 |
| When hierarchical federated learning meets stochastic game: toward an intelligent UAV charging in urban prosumers L Zou, MS Munir, YK Tun, SS Hassan, PS Aung, CS Hong IEEE Internet of Things Journal 10 (12), 10438-10461, 2023 | 10 | 2023 |
| Collaborative computing services at ground, air, and space: An optimization approach YK Tun, KT Kim, L Zou, Z Han, G Dán, CS Hong IEEE Transactions on Vehicular Technology, 2023 | 8 | 2023 |
| Federated multimodal learning for iot applications: A contrastive learning approach HQ Le, Y Qiao, LX Nguyen, L Zou, CS Hong 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | 4 | 2023 |
| Intelligent grid shepherd: Towards a resilient distributed energy resources control system MS Munir, SW Kang, L Zou, CS Hong 2021 22nd Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2021 | 4 | 2021 |
| Smart energy scheduling of B2V-enabled prosumer community as EVSE based on SDN network: A deep reinforcement learning approach L Zou, CS Hong 한국정보과학회 학술발표논문집, 234-236, 2020 | 4 | 2020 |
| Clustering-based serverless edge computing assisted federated learning for energy procurement L Zou, MS Munir, YL Tun, CS Hong 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2022 | 3 | 2022 |
| A Multiple Cloud-Aided Federated Learning-based Security Module Towards EVCS Energy Management System L Zou, SB Park, SM Kang, CS Hong 한국정보과학회 학술발표논문집, 289-291, 2022 | 2 | 2022 |
| Intelligent Energy Scheduling with Considering Battery Storage System Using Particle Swarm Optimization L Zou, CS Hong 한국정보과학회 학술발표논문집, 320-322, 2019 | 2 | 2019 |
| EFCKD: Edge-Assisted Federated Contrastive Knowledge Distillation Approach for Energy Management: Energy Theft Perspective L Zou, HQ Le, AD Raha, DU Kim, CS Hong 2023 24st Asia-Pacific Network Operations and Management Symposium (APNOMS …, 2023 | 1 | 2023 |
| Energy Efficient Leaderless Softwarized UAV Network: Joint Intelligent User Association and Resource Allocation Design L Zou, SS Hassan, YK Tun, Z Han, CS Hong NOMS 2023-2023 IEEE/IFIP Network Operations and Management Symposium, 1-5, 2023 | 1 | 2023 |
| Edge-assisted Attention-based Federated Learning for Multi-Step EVSE-enabled Prosumer Energy Demand Prediction L Zou, CM Thwal, SB Park, CS Hong 2023 International Conference on Information Networking (ICOIN), 116-121, 2023 | 1 | 2023 |
| Proactive P2P Energy Sharing for a Community via PSO-based Stochastic Optimization L Zou, CS Hong 한국정보과학회 학술발표논문집, 290-292, 2020 | 1 | 2020 |
| Availability modeling and analysis of cloud systems involving HA techniques via stochastic reward nets L Zou, CS Hong 한국정보과학회 학술발표논문집, 1306-1308, 2019 | 1 | 2019 |
| Imbalance Cost-Aware Energy Scheduling for Prosumers Towards UAM Charging: A Matching and Multi-Agent DRL Approach L Zou, MS Munir, SS Hassan, YK Tun, LX Nguyen, CS Hong IEEE Transactions on Vehicular Technology, 2023 | | 2023 |
| Method for intelligent day-ahead energy sharing scheduling of the P2P prosumer community in smart grid CS Hong, L Zou, K Kim KR Patent 1,025,627,610,000, 2023 | | 2023 |
| Energy Theft Detection for Energy Management Enhancement: A Model-Contrastive Loss-based Federated Learning Approach L Zou, CS Hong 한국정보과학회 학술발표논문집, 232-234, 2023 | | 2023 |
| An Encouraging Design for Data Owners to Join Multiple Co-existing Federated Learning LX Nguyen, L Zou, HQ Le, CS Hong 2022 23rd Asia-Pacific Network Operations and Management Symposium (APNOMS), 1-4, 2022 | | 2022 |
| Energy Demand Prediction for OCPP-based EV Charging Station: A Federated Learning Framework L Zou, YW Kim, CS Hong KNOM 2022 Conference, 2022 | | 2022 |
Choong Seon Hong, FIEEESchool of Computing, Kyung Hee University在 khu.ac.kr 的电子邮件经过验证
