| Residential demand response for renewable energy resources in smart grid systems L Park, Y Jang, S Cho, J Kim IEEE Transactions on Industrial Informatics 13 (6), 3165-3173, 2017 | 137 | 2017 |
| Multiscale LSTM-based deep learning for very-short-term photovoltaic power generation forecasting in smart city energy management D Kim, D Kwon, L Park, J Kim, S Cho IEEE Systems Journal 15 (1), 346-354, 2020 | 79 | 2020 |
| Joint geometric unsupervised learning and truthful auction for local energy market L Park, S Jeong, J Kim, S Cho IEEE Transactions on Industrial Electronics 66 (2), 1499-1508, 2018 | 50 | 2018 |
| Frequency resource allocation and interference management in mobile edge computing for an Internet of Things system W Na, S Jang, Y Lee, L Park, NN Dao, S Cho IEEE Internet of Things Journal 6 (3), 4910-4920, 2018 | 49 | 2018 |
| Deafness-aware MAC protocol for directional antennas in wireless ad hoc networks W Na, L Park, S Cho Ad Hoc Networks 24, 121-134, 2015 | 32 | 2015 |
| Cor-MAC: Contention over reservation MAC protocol for time-critical services in wireless body area sensor networks J Yu, L Park, J Park, S Cho, C Keum Sensors 16 (5), 656, 2016 | 31 | 2016 |
| Trustful resource management for service allocation in fog-enabled intelligent transportation systems Y Lee, S Jeong, A Masood, L Park, NN Dao, S Cho IEEE Access 8, 147313-147322, 2020 | 30 | 2020 |
| New challenges of wireless power transfer and secured billing for internet of electric vehicles L Park, S Jeong, DS Lakew, J Kim, S Cho IEEE Communications Magazine 57 (3), 118-124, 2018 | 30 | 2018 |
| Automated energy scheduling algorithms for residential demand response systems L Park, Y Jang, H Bae, J Lee, CY Park, S Cho Energies 10 (9), 1326, 2017 | 30 | 2017 |
| A review on new technologies in 3GPP standards for 5G access and beyond NN Dao, NH Tu, TD Hoang, TH Nguyen, LV Nguyen, K Lee, L Park, W Na, ... Computer Networks, 110370, 2024 | 21 | 2024 |
| Light-weight Stackelberg game theoretic demand response scheme for massive smart manufacturing systems C Lee, L Park, S Cho IEEE Access 6, 23316-23324, 2018 | 20 | 2018 |
| Recent studies on deep reinforcement learning in RIS-UAV communication networks TH Nguyen, H Park, L Park 2023 International Conference on Artificial Intelligence in Information and …, 2023 | 18 | 2023 |
| Deep reinforcement learning-based partial task offloading in high altitude platform-aided vehicular networks TH Nguyen, TP Truong, NN Dao, W Na, H Park, L Park 2022 13th International Conference on Information and Communication …, 2022 | 17 | 2022 |
| Intelligent heterogeneous aerial edge computing for advanced 5G access TH Nguyen, TP Truong, AT Tran, NN Dao, L Park, S Cho IEEE Transactions on Network Science and Engineering, 2024 | 16 | 2024 |
| A survey on deep reinforcement learning-driven task offloading in aerial access networks TH Nguyen, L Park 2022 13th International Conference on Information and Communication …, 2022 | 16 | 2022 |
| Using social Internet of Things (SIoT) demand side management on the plant J Eom, L Park, W Na, NN Dao, SM Jang, YH Kim, JW Lee, S Cho 2016 Eighth International Conference on Ubiquitous and Future Networks …, 2016 | 16 | 2016 |
| Applications of deep learning and deep reinforcement learning in 6G networks TH Nguyen, H Park, K Seol, S So, L Park 2023 Fourteenth International Conference on Ubiquitous and Future Networks …, 2023 | 15 | 2023 |
| HAP-assisted RSMA-enabled vehicular edge computing: A DRL-based optimization framework TH Nguyen, L Park Mathematics 11 (10), 2376, 2023 | 14 | 2023 |
| Federated deep learning for RIS-assisted UAV-enabled wireless communications H Park, TH Nguyen, L Park 2022 13th International Conference on Information and Communication …, 2022 | 13 | 2022 |
| Blockchain-based federated approach for privacy-preserved iot-enabled smart vehicular networks SK Singh, L Park, JH Park 2022 13th International Conference on Information and Communication …, 2022 | 11 | 2022 |