3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. - Won Joon Yun; Joongheon Kim (ICTC, 2020)

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)

Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. - Joongheon Kim; Myungjae Shin; Dohyun Kim 001; Soohyun Park; Yeongeun Kang; Junghyun Kim; Haemin Lee; Won Joon Yun; Jaeho Choi; Seunghoon Park; Seunghyeok Oh; Jaesung Yoo (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)

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)

Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. - Won Joon Yun; Sungwon Yi; Joongheon Kim (SMC, 2021)

Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution. - Minseok Choi; Won Joon Yun; 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)

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)

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)

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)

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)

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)

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 Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution. - Minseok Choi; Won Joon Yun; Joongheon Kim (WiOpt, 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)

Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification. - Youngkee Kim; Won Joon Yun; Youn Kyu Lee; 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)

Scalable Quantum Convolutional Neural Networks. - Hankyul Baek; Won Joon Yun; 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)

3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. - Hankyul Baek; Won Joon Yun; Joongheon Kim (CoRR, 2022)

Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. - Won Joon Yun; Hankyul Baek; Joongheon Kim (CoRR, 2022)

Quantum Split Neural Network Learning using Cross-Channel Pooling. - Won Joon Yun; Hankyul Baek; 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)

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)

Joint Pilot Design and Channel Estimation Using Deep Residual Learning for Multi-Cell Massive MIMO Under Hardware Impairments. - Byungju Lim; Won Joon Yun; Joongheon Kim; Young-Chai Ko (IEEE Trans. Veh. Technol., 2022)

Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. - Won Joon Yun; Dohyun Kwon 001; Minseok Choi; Joongheon Kim; Giuseppe Caire; Andreas F. Molisch (IEEE Trans. Veh. Technol., 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)

FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). - Hankyul Baek; Won Joon Yun; Joongheon Kim (AAAI, 2023)

Quantum Multi-Agent Meta Reinforcement Learning. - Won Joon Yun; Jihong Park; Joongheon Kim (AAAI, 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)

Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. - Won Joon Yun; Samuel Kim; Joongheon Kim (ICDCS, 2023)

Modern Trends in Quantum AI: Distributed and High-Definition Computation. - Jae Pyoung Kim; Won Joon Yun; Hankyul Baek; Joongheon Kim (ICOIN, 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)

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)

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)

Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. - Won Joon Yun; Soohyun Park; Joongheon Kim; David Mohaisen (IEEE Trans. Intell. Transp. Syst., 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)

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)

Stereoscopic scalable quantum convolutional neural networks. - Hankyul Baek; Won Joon Yun; Soohyun Park; Joongheon Kim (Neural Networks, 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)

Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. - Won Joon Yun; Myungjae Shin; David Mohaisen; Kangwook Lee 001; Joongheon Kim (IEEE Trans. Neural Networks Learn. Syst., 2024)

Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution. - Minseok Choi; Won Joon Yun; Seok Bin Son; Soohyun Park; Joongheon Kim (IEEE Trans. Green Commun. Netw., 2024)

Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC. - Byungju Lim; Won Joon Yun; Joongheon Kim; Young-Chai Ko (IEEE Trans. Wirel. Commun., 2024)