Cooperative multiagent deep reinforcement learning for reliable surveillance via autonomous multi-UAV control WJ Yun, S Park, J Kim, MJ Shin, S Jung, DA Mohaisen, JH Kim IEEE Transactions on Industrial Informatics 18 (10), 7086-7096, 2022 | 141 | 2022 |
Multiagent DDPG-based deep learning for smart ocean federated learning IoT networks D Kwon, J Jeon, S Park, J Kim, S Cho IEEE Internet of Things Journal 7 (10), 9895-9903, 2020 | 134 | 2020 |
Quantum Multiagent Actor–Critic Networks for Cooperative Mobile Access in Multi-UAV Systems C Park, WJ Yun, JP Kim, TK Rodrigues, S Park, S Jung, J Kim IEEE Internet of Things Journal 10 (22), 20033-20048, 2023 | 34 | 2023 |
Multi-agent reinforcement learning for cooperative air transportation services in city-wide autonomous urban air mobility C Park, GS Kim, S Park, S Jung, J Kim IEEE Transactions on Intelligent Vehicles 8 (8), 4016-4030, 2023 | 32 | 2023 |
Large-scale water quality prediction using federated sensing and learning: A case study with real-world sensing big-data S Park, S Jung, H Lee, J Kim, JH Kim Sensors 21 (4), 1462, 2021 | 27 | 2021 |
Joint mobile charging and coverage-time extension for unmanned aerial vehicles S Park, WY Shin, M Choi, J Kim IEEE Access 9, 94053-94063, 2021 | 24 | 2021 |
Adaptive real-time offloading decision-making for mobile edges: deep reinforcement learning framework and simulation results S Park, D Kwon, J Kim, YK Lee, S Cho Applied Sciences 10 (5), 1663, 2020 | 22 | 2020 |
Quantum multi-agent reinforcement learning for autonomous mobility cooperation S Park, JP Kim, C Park, S Jung, J Kim IEEE Communications Magazine, 2023 | 21 | 2023 |
Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems D Kim, S Park, J Kim, JY Bang, S Jung Journal of Communications and Networks 23 (2), 129-137, 2021 | 20 | 2021 |
Optimal user selection for high-performance and stabilized energy-efficient federated learning platforms J Jeon, S Park, M Choi, J Kim, YB Kwon, S Cho Electronics 9 (9), 1359, 2020 | 20 | 2020 |
Cooperative multi-agent deep reinforcement learning for reliable and energy-efficient mobile access via multi-UAV control C Park, S Park, S Jung, C Cordeiro, J Kim arXiv preprint arXiv:2210.00945, 2022 | 16 | 2022 |
Stereoscopic scalable quantum convolutional neural networks H Baek, WJ Yun, S Park, J Kim Neural Networks 165, 860-867, 2023 | 15 | 2023 |
Trends in LEO satellite handover algorithms S Park, J Kim 2021 Twelfth International Conference on Ubiquitous and Future Networks …, 2021 | 15 | 2021 |
Auction-based deep learning computation offloading for truthful edge computing: A Myerson auction approach H Lee, S Park, J Kim, J Kim 2021 International Conference on Information Networking (ICOIN), 457-459, 2021 | 12 | 2021 |
Sensing-aware deep reinforcement learning with HCI-based human-in-the-loop feedback for autonomous nonlinear drone mobility control H Lee, S Park IEEE Access 12, 1727-1736, 2024 | 11 | 2024 |
Logarithmic dimension reduction for quantum neural networks H Baek, S Park, J Kim Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 11 | 2023 |
Joint offloading and streaming in mobile edges: a deep reinforcement learning approach S Park, J Kim, D Kwon, MJ Shin, J Kim 2019 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS), 1-4, 2019 | 10 | 2019 |
Performance comparison of SRCNN, VDSR, and SRDenseNet deep learning models in embedded autonomous driving platforms J Kim, MJ Shin, D Kim, S Park, Y Kang, J Kim, H Lee, WJ Yun, J Choi, ... 2021 International Conference on Information Networking (ICOIN), 56-58, 2021 | 7 | 2021 |
Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks S Park, S Jung, J Kim IEEE Access, 2024 | 6 | 2024 |
Realizing stabilized landing for computation-limited reusable rockets: A quantum reinforcement learning approach GS Kim, J Chung, S Park IEEE Transactions on Vehicular Technology, 2024 | 6 | 2024 |