[28] G. S. Kim, S. Park, and J. Kim, "LLM-Guided Reinforcement Learning for Autonomous Control in Anti-Drone Defense Systems," IEEE Transactions on Aerospace and Electronic Systems (Under Review).
[27] G. S. Kim, H. Ahn, and J. Kim, "Quantum Reinforcement Learning for Carbon-Aware Energy-Efficient Air Traffic Control," IEEE Transactions on Intelligent Transportation Systems (Under Review).
[26] G. S. Kim, J. Chung, S. Park, S. Jung, T. Q. Duong, and J. Kim, "Quantum Leap for Autonomous Aircraft Control," IEEE Communications Magazine (Under Review).
[25] G. S. Kim, E. J. Roh, and J. Kim, "(Double Blind Review)," IEEE Transactions on Pattern Analysis and Machine Intelligence (Under Review).
[24] G. S. Kim, W. Jeong, and J. Kim, "Cooperative Multi-Agent Reinforcement Learning for Anti-Drone Systems in Dynamic Battlefield Environments," IEEE Transactions on Aerospace and Electronic Systems (Under Review).
[23] H. Ahn, S. Oh, G. S. Kim, S. Park, S. Jung, and J. Kim, "Hallucination-Aware Hierarchical LLM for Autonomous UAV Mobility Control: A Safe Reinforcement Learning Approach," IEEE Transactions on Intelligent Vehicles (Under Review).
[22] G. S. Kim, S. Park, and J. Kim, "Dynamic Sun Tracking Control for Efficient Solar Power Charging in Sustainable Cube-Satellites," IEEE Transactions on Sustainable Computing (Under Review).
[21] G. S. Kim, J. Chung, S. Jung, S. Park, T. Q. Duong, and J. Kim, "Joint Mobility Control and Networking in Autonomous Aircraft Cooperation: A Quantum Reinforcement Learning Approach," IEEE Transactions on Mobile Computing (Under Review).
[20] G. S. Kim, S. Park, and J. Kim, "(Double Blind Review)," IEEE Transactions on Industrial Informatics (Under Review).
[19] H. Lee, G. S. Kim, E. J. Roh, S. Lee, S. Park, T. Q. Duong, and J. Kim, "Quantum Jump to Connected Worlds: Paradigm Shifts in Mobility and Network Applications via Quantum Neural Networks," IEEE Network Magazine (Under Revision).
[18] G. S. Kim, E. J. Roh, S. Jung, S. Park, and J. Kim, "Scale-Reconfigurable Multi-Agent Reinforcement Learning for Aerial Networks under Uncertainty," IEEE Transactions on Mobile Computing (Under Revision).
[17] G. S. Kim, C. Im, Y. G. Kim, J. Ha, and J. Kim, "Learning-based Resilient Dynamic Routing for Fault-Tolerant Robust LEO Satellite Networks," IEEE Internet of Things Journal (Under Revision).
[16] H. Ahn, G. S. Kim, I.-S. Cho, S. Jung, and J. Kim, "Hybrid Large Language Models and Reinforcement Learning for Energy-Efficient Multi-Satellite Scheduling: Boosting the Performance from Scratch," IEEE Internet of Things Journal (Under Revision).
[15] G. S. Kim, J. Chung, S. Jung, S. Park, and J. Kim, "Quantum Reinforcement Learning for Joint Control, Communication, and Computing in Stabilized Reusable Space Rocket," IEEE Transactions on Aerospace and Electronic Systems (Under Revision).
[14] S. Park, G. S. Kim, S. Jung, Z. Han, and J. Kim, "Joint Sustainable Control and Quantum Reinforcement Learning for Energy-Efficient CubeSats," IEEE Transactions on Mobile Computing (Under Revision).
[13] G. S. Kim, S. Park, S. Jung, D. Mohaisen, and J. Kim, “Integrated Control, Communication, and Computing for Mission-Critical Embedded Unmanned Aerial Vehicles,” IEEE Transactions on Aerospace and Electronic Systems, 2025 (Early Access).
[12] G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, and J. Kim, "Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks," IEEE Transactions on Mobile Computing, 2025 (Early Access).
[11] G. S. Kim, S. Lee, T. Woo, and S. Park, "Cooperative Multi-Agent Reinforcement Learning for Military Drones over Large-Scale Battlefields," IEEE Transactions on Intelligent Vehicles, 2024 (Early Access).
[10] H. Baek, G. S. Kim (co-first), S. Park, A. F. Molisch, and J. Kim, "Slimmable Federated Reinforcement Learning for Energy-Efficient Proactive Caching," IEEE Transactions on Networking, 33(4):2079-2094, August 2025.
[9] G. S. Kim, Y. Cho, S. Park, S. Jung, and J. Kim, Quantum Multiagent Reinforcement Learning for Joint Cube Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN," IEEE Transactions on Aerospace and Electronic Systems, 61(4):9490-9510, August 2025.
[8] G. S. Kim, S. Lee, I.-S. Cho, S. Park, and J. Kim, "Quantum Reinforcement Learning for Lightweight LEO Satellite Routing," IEEE Internet of Things Journal, 12(14):28986-29004, July 2025.
[7] S. Park, G. S. Kim, and J. Kim, "Joint Quantum Reinforcement Learning and Neural Myerson Auction for High-Quality Digital-Twin Services in Multi-Tier Networks," IEEE Internet of Things Journal, 12(13):23722-23735, July 2025.
[6] S. Park, G. S. Kim (co-first), S. Jung, and J. Kim, "Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks," IEEE Internet of Things Journal, 11(23):38744-38754, December 2024.
[5] S. Park, G. S. Kim, Z. Han, and J. Kim, "Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks," IEEE Communications Magazine, 42(10):86-92, October 2024.
[4] G. S. Kim, J. Chung, and S. Park, "Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach," IEEE Transactions on Vehicular Technology, 73(8):12252-12257, August 2024.
[3] H. Lee, G. S. Kim, M. Choi, H. Baek, and S. Park, "Farthest Agent Selection with Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications," IEEE Access, 12:108504-108514, August 2024.
[2] G. S. Kim, H. Lee, S. Park, and J. Kim, "Joint Frame Rate Adaptation and Object Recognition Model Selection for Stabilized Unmanned Aerial Vehicle Surveillance," ETRI Journal, 45(5):811-821, October 2023.
[1] C. Park, G. S. Kim, S. Park, S. Jung, and J. Kim, "Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility," IEEE Transactions on Intelligent Vehicles, 8(8):4016-4030, August 2023.