Performance evaluation of random access response estimation scheme for IoT communications. - Seung-Su Yoo; Sung-Hyung Lee; So-Yi Jung; Jae-Hyun Kim (ICC, 2017)

Adaptive resource allocation and congestion control algorithm for massive devices in LTE-A. - Sung-Hyung Lee; So-Yi Jung; Jae-Hyun Kim (WCNC, 2018)

Reducing Consecutive Collisions in Sensing Based Semi Persistent Scheduling for Cellular-V2X. - So-Yi Jung; Hye-Rim Cheon; Jae-Hyun Kim (VTC Fall, 2019)

Reliability Control Framework for Random Access of Massive IoT Devices. - So-Yi Jung; Sung-Hyung Lee; Jae-Hyun Kim (IEEE Access, 2019)

Belief Propagation based Scheduling for Energy Efficient Multi-drone Monitoring System. - Soyi Jung; Peng Yang 009; Tony Q. S. Quek; Jae-Hyun Kim (ICTC, 2020)

Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation. - Joongheon Kim; Yunseok Kwak; Soyi Jung; Jae-Hyun Kim (APWCS, 2021)

Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications. - Haemin Lee; Soyi Jung; Joongheon Kim (APWCS, 2021)

Spatio-Temporal Split Learning. - Joongheon Kim; Seunghoon Park; Soyi Jung; Seehwan Yoo (DSN (Supplements), 2021)

Infrastructure-Assisted Cooperative Multi-UAV Deep Reinforcement Energy Trading Learning for Big-Data Processing. - Soyi Jung; Won Joon Yun; Joongheon Kim; Jae-Hyun Kim (ICOIN, 2021)

Trends in Neural Architecture Search: Towards the Acceleration of Search. - Youngkee Kim; Won Joon Yun; Youn Kyu Lee; Soyi Jung; Joongheon Kim (ICTC, 2021)

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. - Yunseok Kwak; Won Joon Yun; Soyi Jung; Jong-Kook Kim; Joongheon Kim (ICTC, 2021)

Autonomous Aerial Mobility Learning for Drone-Taxi Flight Control. - Won Joon Yun; Yoo Jeong Ha; Soyi Jung; Joongheon Kim (ICTC, 2021)

Secure Aerial Surveillance using Split Learning. - Yoo Jeong Ha; Minjae Yoo; Soohyun Park; Soyi Jung; Joongheon Kim (ICUFN, 2021)

Quantum Neural Networks: Concepts, Applications, and Challenges. - Yunseok Kwak; Won Joon Yun; Soyi Jung; Joongheon Kim (ICUFN, 2021)

Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. - Gusang Lee; Won Joon Yun; Soyi Jung; Joongheon Kim; Jae-Hyun Kim (INFOCOM Workshops, 2021)

Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication. - Won Joon Yun; Byungju Lim; Soyi Jung; Young-Chai Ko; Jihong Park; Joongheon Kim; Mehdi Bennis (ISWCS, 2021)

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies With COVID-19 CT, X-Ray, and Cholesterol Data. - Yoo Jeong Ha; Minjae Yoo; Gusang Lee; Soyi Jung; Sae Won Choi; Joongheon Kim; Seehwan Yoo (IEEE Access, 2021)

Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks. - Yoo Jeong Ha; Soyi Jung; Jae-Hyun Kim; Marco Levorato; Joongheon Kim (CoRR, 2021)

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. - Hankyul Baek; Won Joon Yun; Soyi Jung; Jihong Park; Mingyue Ji; Joongheon Kim; Mehdi Bennis (CoRR, 2021)

The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets. - Haemin Lee; Hyunhee Cho; Soyi Jung; Joongheon Kim (CoRR, 2021)

Adaptive speckle filtering for real-time computing in low earth orbit satellite synthetic aperture radar. - Kyeong-Rok Kim; Soyi Jung; Jae-Hyun Kim (ICT Express, 2021)

Truthful electric vehicle charging via neural-architectural Myerson auction. - Haemin Lee; Soyi Jung; Joongheon Kim (ICT Express, 2021)

Distributed deep reinforcement learning for autonomous aerial eVTOL mobility in drone taxi applications. - Won Joon Yun; Soyi Jung; Joongheon Kim; Jae-Hyun Kim (ICT Express, 2021)

Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems. - Dohyun Kim 001; Soohyun Park; Joongheon Kim; Jae Young Bang; Soyi Jung (J. Commun. Networks, 2021)

Adaptive and stabilized real-time super-resolution control for UAV-assisted smart harbor surveillance platforms. - Soyi Jung; Joongheon Kim (J. Real Time Image Process., 2021)

Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data. - Soohyun Park; Soyi Jung; Haemin Lee; Joongheon Kim; Jae-Hyun Kim (Sensors, 2021)

Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks. - Soyi Jung; Joongheon Kim; Jae-Hyun Kim (IEEE Syst. J., 2021)

Infrastructure-Assisted on-Driving Experience Sharing for Millimeter-Wave Connected Vehicles. - Soyi Jung; Joongheon Kim; Marco Levorato; Carlos Cordeiro 001; Jae-Hyun Kim (IEEE Trans. Veh. Technol., 2021)

Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems. - Soyi Jung; Won Joon Yun; Myungjae Shin; Joongheon Kim; Jae-Hyun Kim (IEEE Trans. Veh. Technol., 2021)

Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms. - Hankyul Baek; Haemin Lee; Ji-Yeon Kim; Soyi Jung; Minseok Choi; Joongheon Kim (APWCS, 2022)

DDPG-based Deep Reinforcement Learning for Loitering Munition Mobility Control: Algorithm Design and Visualization. - Hyunsoo Lee; Won Joon Yun; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (APWCS, 2022)

Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. - Won Joon Yun; David Mohaisen; Soyi Jung; Jong-Kook Kim; Joongheon Kim (CIKM, 2022)

Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints. - Rhoan Lee; Soohyun Park; Soyi Jung; Joongheon Kim (ICDCS, 2022)

AoI-Aware Markov Decision Policies for Caching. - Soohyun Park; Soyi Jung; Minseok Choi; Joongheon Kim (ICDCS, 2022)

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. - Won Joon Yun; Yunseok Kwak; Jae Pyoung Kim; Hyunhee Cho; Soyi Jung; Jihong Park; Joongheon Kim (ICDCS, 2022)

The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets. - Haemin Lee; Youngkee Kim; Hyunhee Cho; Soyi Jung; Joongheon Kim (ICOIN, 2022)

Stable Marriage Matching for Traffic-Aware Space-Air-Ground Integrated Networks: A Gale-Shapley Algorithmic Approach. - Hyunsoo Lee; Haemin Lee; Soyi Jung; Joongheon Kim (ICOIN, 2022)

Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. - Haemin Lee; Seok Bin Son; Won Joon Yun; Joongheon Kim; Soyi Jung; Dong Hwa Kim 002 (ICTC, 2022)

Deep Reinforcement Learning for Complex Topography in Urban Aerial Mobility: Sensor-based Calibration and Visualization. - Sanghyon Park; Jaeyoon Park; Joongheon Kim; Soyi Jung (ICTC, 2022)

Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks. - Seok Bin Son; Soohyun Park; Haemin Lee; Joongheon Kim; Soyi Jung; Dong Hwa Kim 002 (ICTC, 2022)

Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification. - Youngkee Kim; Soyi Jung; Minseok Choi; Joongheon Kim (ICUFN, 2022)

Introduction to Secure Computing Methods in Unmanned Aerial Vehicles. - Soohyun Park; Minjae Yoo; Soyi Jung; Minseok Choi; Joongheon Kim (ICUFN, 2022)

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. - Hankyul Baek; Won Joon Yun; Yunseok Kwak; Soyi Jung; Mingyue Ji; Mehdi Bennis; Jihong Park; Joongheon Kim (INFOCOM, 2022)

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Won Joon Yun; Soohyun Park; Joongheon Kim; Myungjae Shin; Soyi Jung; David A. Mohaisen; Jae-Hyun Kim (CoRR, 2022)

Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset. - Yoo Jeong Ha; Gusang Lee; Minjae Yoo; Soyi Jung; Seehwan Yoo; Joongheon Kim (CoRR, 2022)

Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications. - Yunseok Kwak; Won Joon Yun; Jae Pyoung Kim; Hyunhee Cho; Minseok Choi; Soyi Jung; Joongheon Kim (CoRR, 2022)

Slimmable Quantum Federated Learning. - Won Joon Yun; Jae Pyoung Kim; Soyi Jung; Jihong Park; Mehdi Bennis; Joongheon Kim (CoRR, 2022)

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control. - Chanyoung Park 002; Haemin Lee; Won Joon Yun; Soyi Jung; Carlos Cordeiro 001; Joongheon Kim (CoRR, 2022)

Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles. - Soohyun Park; Chanyoung Park 002; Soyi Jung; Minseok Choi; Joongheon Kim (CoRR, 2022)

Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning. - Chanyoung Park 002; Jae Pyoung Kim; Won Joon Yun; Soyi Jung; Joongheon Kim (CoRR, 2022)

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. - Won Joon Yun; Jae Pyoung Kim; Hankyul Baek; Soyi Jung; Jihong Park; Mehdi Bennis; Joongheon Kim (CoRR, 2022)

Trustworthy handover in LEO satellite mobile networks. - Soyi Jung; Moon-Sik Lee; Jihyung Kim; Mi-Young Yun; Joongheon Kim; Jae-Hyun Kim (ICT Express, 2022)

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Won Joon Yun; Soohyun Park; Joongheon Kim; Myungjae Shin; Soyi Jung; David A. Mohaisen; Jae-Hyun Kim (IEEE Trans. Ind. Informatics, 2022)

Stabilized Detection Accuracy Maximization Using Adaptive SAR Image Processing in LEO Networks. - Kyeong-Rok Kim; Jung-Hoon Lee; Soyi Jung; Joongheon Kim; Jae-Hyun Kim (IEEE Trans. Veh. Technol., 2022)

Neural Myerson auction for truthful and energy-efficient autonomous aerial data delivery. - Haemin Lee; Sean Soek-Chul Kwon; Soyi Jung; Joongheon Kim (J. Commun. Networks, 2022)

Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles. - Won Joon Yun; Myungjae Shin; Soyi Jung; Sean Soek-Chul Kwon; Joongheon Kim (J. Commun. Networks, 2022)

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility. - Chanyoung Park 002; Soohyun Park; Gyu Seon Kim; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (ICC, 2023)

Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. - Soohyun Park; Hao Feng 002; Won Joon Yun; Chanyoung Park 002; Youn Kyu Lee; Soyi Jung; Joongheon Kim (ICDCS, 2023)

Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. - Chanyoung Park 002; Haemin Lee; Won Joon Yun; Soohyun Park; Soyi Jung; Joongheon Kim (ICDCS, 2023)

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception. - Hankyul Baek; Yoo Jeong Ha; Minjae Yoo; Soyi Jung; Joongheon Kim (ICOIN, 2023)

Hybrid MAC for Military UAV Networks. - Gyu Seon Kim; Hyunsoo Lee; Chanyoung Park 002; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (ICOIN, 2023)

Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks. - Soohyun Park; Chanyoung Park 002; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (IEEE Access, 2023)

Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems. - Hyunsoo Lee; Soohyun Park; Won Joon Yun; Soyi Jung; Joongheon Kim (CoRR, 2023)

Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management. - Won Joon Yun; Jae Pyoung Kim; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (CoRR, 2023)

EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback. - Soohyun Park; Won Joon Yun; Chanyoung Park 002; Youn Kyu Lee; Soyi Jung; Hao Feng 002; Joongheon Kim (CoRR, 2023)

Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. - Chanyoung Park 002; Won Joon Yun; Jae Pyoung Kim; Tiago Koketsu Rodrigues; Soohyun Park; Soyi Jung; Joongheon Kim (CoRR, 2023)

Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. - Chanyoung Park 002; Haemin Lee; Won Joon Yun; Soyi Jung; Joongheon Kim (CoRR, 2023)

Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes. - Soohyun Park; Haemin Lee; Chanyoung Park 002; Soyi Jung; Minseok Choi; Joongheon Kim (CoRR, 2023)

Quantum distributed deep learning architectures: Models, discussions, and applications. - Yunseok Kwak; Won Joon Yun; Jae Pyoung Kim; Hyunhee Cho; Jihong Park; Minseok Choi; Soyi Jung; Joongheon Kim (ICT Express, 2023)

EQuaTE: Efficient Quantum Train Engine for Runtime Dynamic Analysis and Visual Feedback in Autonomous Driving. - Soohyun Park; Hao Feng 002; Chanyoung Park 002; Youn Kyu Lee; Soyi Jung; Joongheon Kim (IEEE Internet Comput., 2023)

Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. - Chanyoung Park 002; Won Joon Yun; Jae Pyoung Kim; Tiago Koketsu Rodrigues; Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Internet Things J., 2023)

Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework. - Hankyul Baek; Rhoan Lee; Soyi Jung; Joongheon Kim; Soohyun Park (IEEE Open J. Comput. Soc., 2023)

Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. - Won Joon Yun; Myungjae Shin; Soyi Jung; JeongGil Ko; Hyung-Chul Lee; Joongheon Kim (Comput. Biol. Medicine, 2023)

Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auction. - Soyi Jung; Jae-Hyun Kim; David Mohaisen; Joongheon Kim (Comput. Networks, 2023)

Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management. - Won Joon Yun; Jae Pyoung Kim; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (IEEE Internet Things J., 2023)

Energy-efficient full-duplex MAC protocol design for air-terrestrial communication. - Tae-Yoon Kim; Jin-Ki Kim; Won-Jae Lee; Soyi Jung; Jae-Hyun Kim (J. Commun. Networks, 2023)

Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility. - Chanyoung Park 002; Gyu Seon Kim; Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Trans. Intell. Veh., 2023)

Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks. - Soyi Jung; Chanyoung Park 002; Marco Levorato; Jae-Hyun Kim; Joongheon Kim (IEEE Trans. Veh. Technol., 2023)

SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. - Won Joon Yun; Yunseok Kwak; Hankyul Baek; Soyi Jung; Mingyue Ji; Mehdi Bennis; Jihong Park; Joongheon Kim (IEEE/ACM Trans. Netw., 2023)

Quantum Multi - Agent Reinforcement Learning Software Design and Visual Simulations for Multi - Drone Mobility Control. - Soohyun Park; Gyu Seon Kim; Soyi Jung; Joongheon Kim (APWCS, 2024)

Enhancing UAV Stability: A Deep Reinforcement Learning Strategy. - Junyoung Kim 006; Soyi Jung (ICEIC, 2024)

Reinforcement Learning-Based Motion Planning for Robotic Manipulators in Smart Industry. - Junhyung Cho; Soyi Jung (ICTC, 2024)

Survey on Graph Neural Networks for Imitation Learning: Algorithms and Applications. - Injun Hwang; Soyi Jung (ICTC, 2024)

Optimized Guard Band Allocation for TN and NTN Coexistence Using Reinforcement Learning. - Jiseok Jang; Soyi Jung (ICTC, 2024)

CNN-LSTM Based Prediction of LoS Duration in Satellite Communication Network. - Huiyeon Jang; Soyi Jung (ICTC, 2024)

Low Earth Orbit Satellite Scheduling Optimization Based on Deep Reinforcement Learning. - Junyoung Kim 006; Soyi Jung (ICTC, 2024)

Interference Mitigation and Resource Allocation in Integrated TN-NTN Systems via Deep Q-Learning. - Seoyeong Park; Soyi Jung (ICTC, 2024)

A Survey of Behavior Tree-Based Task Planning Algorithms for Autonomous Robotic Systems. - Mingyu Shin; Soyi Jung (ICTC, 2024)

Enhancing Cost-Effective 5G Virtualized RAN Pooling Gain on Clouds: An Intelligent Auto-Scaling Approach. - Kiho Cho; Joongheon Kim; Soyi Jung (IEEE Access, 2024)

Sensing-to-Sky Intermittent Connectivity Realization for LTE-Enabled Drone Platforms: Embedded Design, Measurement Study, and Positioning Applications. - Junyoung Kim 006; Uhyeong Jo; Taewoon Kim 001; Soyi Jung; Joongheon Kim (IEEE Access, 2024)

Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks. - Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Access, 2024)

Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks. - Gyu Seon Kim; Yeryeong Cho; Jaehyun Chung; Soohyun Park; Soyi Jung; Zhu Han 001; Joongheon Kim (CoRR, 2024)

Group contention-based full-duplex unmanned aerial vehicle relay system. - Won-Jae Lee; Tae-Yoon Kim; Jin-Ki Kim; Soyi Jung; Jae-Hyun Kim (ICT Express, 2024)

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. - Soohyun Park; Jae Pyoung Kim; Chanyoung Park 002; Soyi Jung; Joongheon Kim (IEEE Commun. Mag., 2024)

Stabilized Performance Maximization for GAN-based Real-Time Authentication Image Generation over Internet. - JooYong Shim; Soyi Jung; Joongheon Kim; Jong-Kook Kim (Multim. Tools Appl., 2024)

Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles. - Soohyun Park; Chanyoung Park 002; Soyi Jung; Minseok Choi; Joongheon Kim (IEEE Trans. Veh. Technol., 2024)

Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach. - Joongheon Kim; Soohyun Park; Soyi Jung; Carlos Cordeiro 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Neural Myerson Auction for Truthful and Distributed Mobile Charging in UAV-Assisted Digital-Twin Networks. - Soyi Jung; Hankyul Baek; Joongheon Kim (IEEE Trans. Intell. Veh., 2024)

Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks. - Soohyun Park; Gyu Seon Kim; Soyi Jung; Joongheon Kim (IEEE Internet Things J., 2024)

Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse. - Soohyun Park; Jaehyun Chung; Chanyoung Park 002; Soyi Jung; Minseok Choi; Sungrae Cho; Joongheon Kim (IEEE Trans. Mob. Comput., 2024)

Joint Interference Approximation and Guard-Band Management for Spectrum-Efficient Integrated NTN-TN Networks. - Jiseok Jang; Junyoung Kim 006; Joongheon Kim; Soyi Jung (IEEE Internet Things J., 2025)

Quantum federated learning with pole-angle quantum local training and trainable measurement. - Soohyun Park; Hyunsoo Lee; Seok Bin Son; Soyi Jung; Joongheon Kim (Neural Networks, 2025)

Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control. - Hyojun Ahn; Seungcheol Oh; Gyu Seon Kim; Soyi Jung; Soohyun Park; Joongheon Kim (CoRR, 2025)

Intelligent Extra Resource Allocation for Cooperative Awareness Message Broadcasting in Cellular-V2X Networks. - Soyi Jung; Jae-Hyun Kim; Joongheon Kim (IEEE Trans. Netw. Serv. Manag., 2025)

Dynamic Quantum Federated Learning for UAV-Based Autonomous Surveillance. - Soohyun Park; Seok Bin Son; Soyi Jung; Joongheon Kim (IEEE Trans. Veh. Technol., 2025)

Entanglement-Controlled Quantum Federated Learning. - Soohyun Park; Hyunsoo Lee; Soyi Jung; Jihong Park; Mehdi Bennis; Joongheon Kim (IEEE Internet Things J., 2025)

Quantum Multiagent Reinforcement Learning for Joint Cube Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN. - Gyu Seon Kim; Yeryeong Cho; Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Trans. Aerosp. Electron. Syst., 2025)