Seok Bin Son (Ph.D. Student, 03/2022-Present)
Awards and Honors (International)
IEEE ICDCS Best Runner Up Poster Paper Award (2025)
Bronze Paper Award, IEEE Seoul Section Student Paper Contest (2023)
Journals and Top-Conferences
Quantum Federated Learning with Pole-Angle Quantum Local Training and Trainable Measurement, Neural Networks (Elsevier), 187:107301, July 2025. S. Park, H. Lee, S. B. Son, S. Jung, J. Kim
Dynamic Quantum Federated Learning for UAV-based Autonomous Surveillance, IEEE Transactions on Vehicular Technology, 74(5):8158-8170, May 2025. S. Park, S. B. Son, S. Jung, J. Kim
Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution, IEEE Transactions on Green Communications and Networking, 8(1):103-117, March 2024. M. Choi, W. J. Yun, S. B. Son, S. Park, J. Kim
Two-Stage Architectural Fine-Tuning for Neural Architecture Search in Efficient Transfer Learning, IET Electronics Letters, 59(24):e13066, December 2023. S. Park, S. B. Son, Y. K. Lee, S. Jung, J. Kim
Entropy-Aware Similarity for Balanced Clustering: A Case Study with Melanoma Detection, IEEE Access, 11:46892-46902, May 2023. S. B. Son, S. Park, J. Kim
Filtered One-Shot Training for Quantum Architecture Search, ACM CIKM (2025) S. B. Son, S. Y.-C. Chen, J. Kim, S. Park
Publications (Under Review)
Federated Quantum Training and Inference: State-of-the-Arts and the Road Ahead, IEEE Communications Magazine (Revision) S. B. Son, S. Park, M. Bennis, J. Kim
Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Learnins Systems, IEEE Transactions on Mobile Computing (Revision) S. B. Son, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim
(Double Blind Review), IEEE Computational Intelligence Magazine (Review) S. B. Son, J. Kim, S. Park
Jaehyun Chung (Ph.D. Student, 09/2023-Present)
Journals and Top-Conferences
Quantum Reinforcement Learning for Joint Control, Communication, and Computing in Stabilized Reusable Space Rocket, IEEE Transactions on Aerospace and Electronic Systems (Revision) G. S. Kim, J. Chung, S. Jung, S. Park, J. Kim
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks, IEEE Transactions on Mobile Computing, 25(1):1200-1218, January 2026. G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
Correlation-Assisted Spatio-Temporal Reinforcement Learning for Stock Revenue Maximization, Experts Systems with Applications (Elsevier), 289:128361, September 2025. J. Chung, M. Kim, S. Min, H. Choi, S. Park, J. Kim
Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse, IEEE Transactions on Mobile Computing, 23(12):12410-12427, December 2024. S. Park, J. Chung, C. Park, S. Jung, M. Choi, S. Cho, J. Kim
Stabilized Robust Control for Lightweight Autonomous Aircraft Mobility: A Quantum Reinforcement Learning Approach, IEE/IFIP WiOpt (2025) G. S. Kim, J. Chung, T. Q. Duong, S. Park, J. Kim
Publications (Under Review)
Quantum Federated Aggregation using the Parameter-Shift Rule, IEEE Internet of Things Journal (Revision) J. Chung, C. Im, S. Park, J. Kim, W. Lee
Joint Decision Transformer and Deep Reinforcement Learning for Robust Torpedo Evasion, IEEE Transactions on Systems, Man, and Cybernetics: Systems (Revision) J. Chung, H. Ahn, C. Im, B. Kang, J. Choi, Y. Yoon, J. Kim
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks, IEEE Transactions on Mobile Computing (Revision) G. S. Kim, Y. Cho, J. Chung, S. Park, S. Jung, Z. Han, J. Kim
Joint Mobility Control and Networking for Autonomous Aircraft Cooperation: A Quantum Reinforcement Learning Approach, IEEE Transactions on Mobile Computing (Revision) G. S. Kim, J. Chung, Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
Quantum Learning for Autonomous Aircraft Control: A Reinforcement Learning Perspective, IEEE Communications Magazine (Review) G. S. Kim, J. Chung, S. Park, S. Jung, T. Q. Duong, J. Kim
Emily Jimin Roh (Ph.D. Student, 03/2024-Present)
Awards and Honors (International)
Bronze Paper Award, IEEE Seoul Section Student Paper Contest (2024)
Journals and Top-Conferences
Quantum Jump to Connected Worlds: Paradigm Shifts in Mobility and Network Applications via Quantum Neural Networks, IEEE Network (Acceptance with Minor Revision) H. Lee, G. S. Kim, E. J. Roh, S. Jung, S. Park, T. Q. Duong, J. Kim
Joint Scalable Quantum Convolutional Neural Network and Reverse-Fidelity Training for High-Accurate Recognition in Unmanned Aerial Vehicle Surveillance, The Journal of Supercomputing (Springer), 81(16):1495, October 2025. E. J. Roh, J. Kim, S. Jung, S. Park
Stabilized Classification Control using Multi-Stage Quantum Convolutional Neural Networks for Autonomous Driving, IEEE/KICS Journal of Communications and Networks, 27(4):264-272, August 2025. E. J. Roh, S. Park, S. Jung, J. Kim
Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection, IEEE Computational Intelligence Magazine, 20(3):63-74, August 2025. J. Kim, E. J. Roh, C. Im, S. Park
Fast Quantum Convolutional Neural Networks for Low-Complexity Object Detection in Autonomous Driving Applications, IEEE Transactions on Mobile Computing, 24(2):1031-1042, February 2025. E. J. Roh, H. Baek, D. Kim, J. Kim
Hybrid Quantum-Classical 3D Object Detection using Multi-Channel Quantum Convolutional Neural Network, The Journal of Supercomputing (Springer), 81(3):455, February 2025. E. J. Roh, J. Y. Shim. J. Kim, S. Park
How Can Quantum Deep Learning Improve Large Language Models?, IEEE ICASSP (2026) E. J. Roh, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim
Quantum-Amplitude Embedded Adaptation for Parameter-Efficient Fine-Tuning in Large Language Models, ACM CIKM (2025) E. J. Roh, J. Kim
Publications (Under Review)
Multi-Channel Hybrid Quantum-Classical Convolutional Neural Networks for Advanced Image Processing Tasks, IEEE Transactions on Multimedia (Revision) E. J. Roh, H. Baek, S. Park, J. Kim
(Double Blind Review), IEEE Computational Intelligence Magazine (Review) E. J. Roh, H. Ahn, J. Kim
Scale-Reconfigurable Multi-Agent Reinforcement Learning for Aerial Networks under Uncertainty, IEEE Transactions on Mobile Computing (Revision) G. S. Kim, E. J. Roh, S. Jung, S. Park, J. Kim
Understanding Quantum Neural Networks: Fourier Analysis and A Vision for the Road Ahead, Nature Communications Physics (Revision) S. Oh, E. J. Roh, A. Vasilakos, S. Park, J. Kim
(Double Blind Review), IEEE Transactions on Pattern Analysis and Machine Intelligence (Review) G. S. Kim, E. J. Roh, S. Park, J. Kim
Noise-Aware Adaptive Teleportation-Aided Quantum Split Federated Learning: A Stackelberg Game Theory Approach, IEEE Journal on Selected Areas in Communications (Review) C. Im, E. J. Roh, S. Park, J. Kim, W. Lee
(Double Blind Review), ACM KDD (2026) H. Ahn, E. J. Roh, S. Park, W. Saad, H.-C. Lee, J. Kim
Seungcheol Oh (Ph.D. Student, 03/2025-Present) [Website]
Journals and Top-Conferences
Understanding Qubit Trajectories in Parametrized Quantum Circuits, Physical Review A, v(n):ppp-ppp, Month Year. S. Oh, C. Im, S. Park, J. Kim
Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control, IEEE GLOBECOM (2025) H. Ahn, S. Oh, G. S. Kim,S. Jung, S. Park, J. Kim
Publications (Under Review)
Understanding Quantum Neural Networks: Fourier Analysis and A Vision for the Road Ahead, Nature Communications Physics (Revision) S. Oh, E. J. Roh, A. Vasilakos, S. Park, J. Kim
Polarization Reconfigurable Transmit-Receive Beam Alignment with Interpretable Transformer, IEEE TBD S. Oh, H. Han, J. Kim, S. Kwon
Beamforming and Polarization Alignment in MISO System with Deep Neural Networks, IEEE TBD S. Oh, H. Han, J. Kim, S. Kwon
Hallucination-Aware Hierarchical LLM for Autonomous UAV Mobility Control: A Safe Reinforcement Learning Approach, IEEE Transactions on Networking (Review) H. Ahn, S. Oh, G. S. Kim, S. Park, S. Jung, J. Kim
(Double Blind), ACM KDD (Review) S. Oh, C. Im, S. Park, J. Kim
(Double Blind), IEEE/CVF CVPR (Review) S. Oh, C. Im, S. Park, J. Kim
(Double Blind), ICML (Review) S. Oh, C. Im, D. Kim, S. Park, V. Aggarwal, M. Heidari, J. Kim
Minji Lee (Ph.D. Student, 09/2025-Present)
Awards and Honors (International)
Young Scientist Award, IEICE ICSANE (2025)
Journals and Top-Conferences
TBD
Publications (Under Review)
A Tutorial on Transformer Methods for Autonomous Mobility Systems: Architectures, Applications, and Future Research Directions, IEEE Communications Surveys and Tutorials (Review) Y. Cho, M. Lee, C. Im, H. Lee, S. Park, S. Jung, T. Quek, Z. Han, J. Kim
Jioh Lee (Ph.D. Student, 03/2026-Present)
Journals and Top-Conferences
TBD
Publications (Under Review)
TBD
Hoyeong Lee (Ph.D. Student, 03/2026-Present)
Journals and Top-Conferences
TBD
Publications (Under Review)
A Tutorial on Transformer Methods for Autonomous Mobility Systems: Architectures, Applications, and Future Research Directions, IEEE Communications Surveys and Tutorials (Review) Y. Cho, M. Lee, C. Im, H. Lee, S. Park, S. Jung, T. Quek, Z. Han, J. Kim
AQuA-Cache: LLM-Guided Model Selection for Agentic Quantum-AI in Large-Scale Short-Form Video Services, IEEE/IFIP WiOpt (2026) H. Ahn, H. Lee, S. Park, S. Jung, M. Choi, K. Bian, J. Kim
LLM-Guided Reinforcement Learning for Carbon-Neutral Intelligent Vehicle Control, IEEE/IFIP WiOpt (2026) G. S. Kim, H. Lee, S. Park, S. Jung, Z. Han, J. Kim
(Double Blind Review), IJCAI-ECAI (2026) H. Lee, H. Ahn, S. Park, H.-C. Lee, J. Kim
Hyojun Ahn (M.S. Student, 03/2025-Present)
Awards and Honors (International)
Bronze Paper Award, IEEE Seoul Section Student Paper Contest (2025)
Journals and Top-Conferences
Hybrid Large Language Model and Reinforcement Learning for Energy-Efficient Multisatellite Scheduling: Boosting the Performance from Scratch, IEEE Internet of Things Journal, 13(3):5379-5392, February 2026. H. Ahn, G. S. Kim, I.-S. Cho, S. Jung, J. Kim
How Can Quantum Deep Learning Improve Large Language Models?, IEEE ICASSP (2026) E. J. Roh, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim
Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control, IEEE GLOBECOM (2025) H. Ahn, S. Oh, G. S. Kim,S. Jung, S. Park, J. Kim
Publications (Under Review)
Hallucination-Aware Hierarchical LLM for Autonomous UAV Mobility Control: A Safe Reinforcement Learning Approach, IEEE Transactions on Networking (Review) H. Ahn, S. Oh, G. S. Kim, S. Park, S. Jung, J. Kim
Streamable Quantum Edge: Joint Global Quantum Caching and Distributed Streaming for Over-the-Top Media Services, IEEE Journal on Selected Areas in Communications (Review) H. Ahn, J. Heo, S. Park, Z. Han, J. Kim
Joint Decision Transformer and Deep Reinforcement Learning for Robust Torpedo Evasion, IEEE Transactions on Systems, Man, and Cybernetics: Systems (Revision) J. Chung, H. Ahn, C. Im, B. Kang, J. Choi, Y. Yoon, J. Kim
Efficient Quantum Neural Architecture Search with Filtered Supernet for Mobile Learnins Systems, IEEE Transactions on Mobile Computing (Revision) S. B. Son, H. Ahn, S. Y.-C. Chen, S. Park, J. Kim
Quantum Reinforcement Learning for Carbon-Aware Energy-Efficient Air Traffic Control, IEEE Journal on Selected Areas in Communications (Review) G. S. Kim, H. Ahn, Z. Han, J. Kim
(Double Blind Review), IEEE Computational Intelligence Magazine (Review) E. J. Roh, H. Ahn, J. Kim
AQuA-Cache: LLM-Guided Model Selection for Agentic Quantum-AI in Large-Scale Short-Form Video Services, IEEE/IFIP WiOpt (2026) H. Ahn, H. Lee, S. Park, S. Jung, M. Choi, K. Bian, J. Kim
(Double Blind Review), ACM KDD (2026) H. Ahn, E. J. Roh, S. Park, W. Saad, H.-C. Lee, J. Kim
(Double Blind Review), IJCAI-ECAI (2026) H. Lee, H. Ahn, S. Park, H.-C. Lee, J. Kim
Hojun Kim (M.S. Student, 03/2026-Present), Department of Defense Convergence Technology (LIG Nex1)
Journals and Top-Conferences
TBD
Publications (Under Review)
TBD
Junseo Min (M.S. Student, 03/2026-Present), Department of Defense Convergence Technology (LIG Nex1)
Journals and Top-Conferences
TBD
Publications (Under Review)
TBD
Seihun Kim (M.S. Student, 03/2026-Present), Department of Defense Convergence Technology (LIG Nex1)
Journals and Top-Conferences
TBD
Publications (Under Review)
TBD
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