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 | 110 | 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 | 110 | 2020 |
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 | 22 | 2021 |
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 | 22 | 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 | 19 | 2020 |
Quantum multi-agent 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, 2023 | 18 | 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 | 18 | 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 | 17 | 2020 |
Trends in LEO satellite handover algorithms S Park, J Kim 2021 Twelfth International Conference on Ubiquitous and Future Networks …, 2021 | 13 | 2021 |
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, 2023 | 12 | 2023 |
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 | 12 | 2022 |
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 | 11 | 2021 |
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 |
Stereoscopic scalable quantum convolutional neural networks H Baek, WJ Yun, S Park, J Kim Neural Networks 165, 860-867, 2023 | 9 | 2023 |
Quantum multi-agent reinforcement learning for autonomous mobility cooperation S Park, JP Kim, C Park, S Jung, J Kim IEEE Communications Magazine, 2023 | 7 | 2023 |
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 |
Secure aerial surveillance using split learning YJ Ha, M Yoo, S Park, S Jung, J Kim 2021 Twelfth International Conference on Ubiquitous and Future Networks …, 2021 | 6 | 2021 |
Logarithmic dimension reduction for quantum neural networks H Baek, S Park, J Kim Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
Multi-agent deep reinforcement learning for efficient passenger delivery in urban air mobility C Park, S Park, GS Kim, S Jung, JH Kim, J Kim ICC 2023-IEEE International Conference on Communications, 5689-5694, 2023 | 4 | 2023 |
EQuaTE: Efficient Quantum Train Engine for Run-Time Dynamic Analysis and Visual Feedback in Autonomous Driving S Park, H Feng, C Park, YK Lee, S Jung, J Kim IEEE Internet Computing, 2023 | 3 | 2023 |