Won Joon Yun

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 72

Top Topics

Neural Architecture

Reinforcement Learning

Top Venues

Publications

Byungju Lim, Won Joon Yun, Joongheon Kim, Young-Chai Ko
Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC. IEEE Trans. Wirel. Commun. 23 (3) (2024)
Minseok Choi, Won Joon Yun, Seok Bin Son, Soohyun Park, Joongheon Kim
Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution. IEEE Trans. Green Commun. Netw. 8 (1) (2024)
Won Joon Yun, Myungjae Shin, David Mohaisen, Kangwook Lee, Joongheon Kim
Hierarchical Deep Reinforcement Learning-Based Propofol Infusion Assistant Framework in Anesthesia. IEEE Trans. Neural Networks Learn. Syst. 35 (2) (2024)
Chanyoung Park, Haemin Lee, Won Joon Yun, Soohyun Park, Soyi Jung, Joongheon Kim
Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. ICDCS (2023)
Won Joon Yun, Myungjae Shin, Soyi Jung, JeongGil Ko, Hyung-Chul Lee, Joongheon Kim
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset. Comput. Biol. Medicine 156 (2023)
Chanyoung Park, Won Joon Yun, Jae Pyoung Kim, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, Joongheon Kim
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. CoRR (2023)
Hyunsoo Lee, Soohyun Park, Won Joon Yun, Soyi Jung, Joongheon Kim
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems. CoRR (2023)
Hankyul Baek, Won Joon Yun, Joongheon Kim
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract). AAAI (2023)
Soohyun Park, Hao Feng, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Joongheon Kim
Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. ICDCS (2023)
Soohyun Park, Won Joon Yun, Chanyoung Park, Youn Kyu Lee, Soyi Jung, Hao Feng, Joongheon Kim
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback. CoRR (2023)
Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Jihong Park, Minseok Choi, Soyi Jung, Joongheon Kim
Quantum distributed deep learning architectures: Models, discussions, and applications. ICT Express 9 (3) (2023)
Jae Pyoung Kim, Won Joon Yun, Hankyul Baek, Joongheon Kim
Modern Trends in Quantum AI: Distributed and High-Definition Computation. ICOIN (2023)
Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim
Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management. IEEE Internet Things J. 10 (11) (2023)
Won Joon Yun, Samuel Kim, Joongheon Kim
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare. CoRR (2023)
Won Joon Yun, Jihong Park, Joongheon Kim
Quantum Multi-Agent Meta Reinforcement Learning. AAAI (2023)
Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. IEEE Trans. Intell. Transp. Syst. 24 (1) (2023)
Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim
Stereoscopic scalable quantum convolutional neural networks. Neural Networks 165 (2023)
Chanyoung Park, Won Joon Yun, Jae Pyoung Kim, Tiago Koketsu Rodrigues, Soohyun Park, Soyi Jung, Joongheon Kim
Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. IEEE Internet Things J. 10 (22) (2023)
Chanyoung Park, Haemin Lee, Won Joon Yun, Soyi Jung, Joongheon Kim
Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. CoRR (2023)
Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks. IEEE/ACM Trans. Netw. 31 (6) (2023)
Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jae-Hyun Kim, Joongheon Kim
Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management. CoRR (2023)
Won Joon Yun, Samuel Kim, Joongheon Kim
Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. ICDCS (2023)
Chanyoung Park, Haemin Lee, Won Joon Yun, Soyi Jung, Carlos Cordeiro, Joongheon Kim
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control. CoRR (2022)
Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. CoRR (2022)
Won Joon Yun, Myungjae Shin, Soyi Jung, Sean S.-C. Kwon, Joongheon Kim
Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles. J. Commun. Networks 24 (6) (2022)
Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. ICTC (2022)
Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. ICDCS (2022)
Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. CoRR (2022)
Won Joon Yun, Dohyun Kwon, Minseok Choi, Joongheon Kim, Giuseppe Caire, Andreas F. Molisch
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. IEEE Trans. Veh. Technol. 71 (2) (2022)
Won Joon Yun, Yunseok Kwak, Hankyul Baek, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks. CoRR (2022)
Chanyoung Park, Jae Pyoung Kim, Won Joon Yun, Soyi Jung, Joongheon Kim
Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning. CoRR (2022)
Won Joon Yun, David Mohaisen, Soyi Jung, Jong-Kook Kim, Joongheon Kim
Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly. CIKM (2022)
Won Joon Yun, Soohyun Park, Joongheon Kim, Myungjae Shin, Soyi Jung, David A. Mohaisen, Jae-Hyun Kim
Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. IEEE Trans. Ind. Informatics 18 (10) (2022)
Won Joon Yun, Hankyul Baek, Joongheon Kim
Quantum Split Neural Network Learning using Cross-Channel Pooling. CoRR (2022)
Hankyul Baek, Won Joon Yun, Joongheon Kim
Scalable Quantum Convolutional Neural Networks. CoRR (2022)
Won Joon Yun, Jihong Park, Joongheon Kim
Quantum Multi-Agent Meta Reinforcement Learning. CoRR (2022)
Minseok Choi, Won Joon Yun, Joongheon Kim
Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution. WiOpt (2022)
Yunseok Kwak, Won Joon Yun, Jae Pyoung Kim, Hyunhee Cho, Minseok Choi, Soyi Jung, Joongheon Kim
Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications. CoRR (2022)
Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim
Slimmable Quantum Federated Learning. CoRR (2022)
Won Joon Yun, Yunseok Kwak, Jae Pyoung Kim, Hyunhee Cho, Soyi Jung, Jihong Park, Joongheon Kim
Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design. CoRR (2022)
Hyunsoo Lee, Won Joon Yun, Soyi Jung, Jae-Hyun Kim, Joongheon Kim
DDPG-based Deep Reinforcement Learning for Loitering Munition Mobility Control: Algorithm Design and Visualization. APWCS (2022)
Haemin Lee, Seok Bin Son, Won Joon Yun, Joongheon Kim, Soyi Jung, Dong Hwa Kim
Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks. CoRR (2022)
Won Joon Yun, Jae Pyoung Kim, Hankyul Baek, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim
Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding. CoRR (2022)
Byungju Lim, Won Joon Yun, Joongheon Kim, Young-Chai Ko
Joint Pilot Design and Channel Estimation Using Deep Residual Learning for Multi-Cell Massive MIMO Under Hardware Impairments. IEEE Trans. Veh. Technol. 71 (7) (2022)
Won Joon Yun, Hankyul Baek, Joongheon Kim
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. CoRR (2022)
Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. INFOCOM (2022)
Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Joongheon Kim
Two-Stage Architectural Fine-Tuning with Neural Architecture Search using Early-Stopping in Image Classification. CoRR (2022)
Hankyul Baek, Won Joon Yun, Joongheon Kim
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. CoRR (2022)
Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim
Quantum Neural Networks: Concepts, Applications, and Challenges. ICUFN (2021)
Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim
Trends in Neural Architecture Search: Towards the Acceleration of Search. CoRR (2021)
Soyi Jung, Won Joon Yun, Joongheon Kim, Jae-Hyun Kim
Infrastructure-Assisted Cooperative Multi-UAV Deep Reinforcement Energy Trading Learning for Big-Data Processing. ICOIN (2021)
Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. ICTC (2021)
Soyi Jung, Won Joon Yun, Myungjae Shin, Joongheon Kim, Jae-Hyun Kim
Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems. IEEE Trans. Veh. Technol. 70 (6) (2021)
Won Joon Yun, Myungjae Shin, Soyi Jung, Sean S.-C. Kwon, Joongheon Kim
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles. CoRR (2021)
Hankyul Baek, Won Joon Yun, Soyi Jung, Jihong Park, Mingyue Ji, Joongheon Kim, Mehdi Bennis
Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding. CoRR (2021)
Won Joon Yun, Dohyun Kwon, Minseok Choi, Joongheon Kim, Giuseppe Caire, Andreas F. Molisch
Quality-Aware Deep Reinforcement Learning for Streaming in Infrastructure-Assisted Connected Vehicles. CoRR (2021)
Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim
Quantum Neural Networks: Concepts, Applications, and Challenges. CoRR (2021)
Won Joon Yun, Sungwon Yi, Joongheon Kim
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. SMC (2021)
Won Joon Yun, Yoo Jeong Ha, Soyi Jung, Joongheon Kim
Autonomous Aerial Mobility Learning for Drone-Taxi Flight Control. ICTC (2021)
Minseok Choi, Won Joon Yun, Joongheon Kim
Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution. CoRR (2021)
Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. CoRR (2021)
Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim
Trends in Neural Architecture Search: Towards the Acceleration of Search. ICTC (2021)
Won Joon Yun, Sungwon Yi, Joongheon Kim
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. CoRR (2021)
Hankyul Baek, Won Joon Yun, Yunseok Kwak, Soyi Jung, Mingyue Ji, Mehdi Bennis, Jihong Park, Joongheon Kim
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks. CoRR (2021)
Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication. CoRR (2021)
Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. CoRR (2021)
Won Joon Yun, Byungju Lim, Soyi Jung, Young-Chai Ko, Jihong Park, Joongheon Kim, Mehdi Bennis
Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication. ISWCS (2021)
Joongheon Kim, Myungjae Shin, Dohyun Kim, Soohyun Park, Yeongeun Kang, Junghyun Kim, Haemin Lee, Won Joon Yun, Jaeho Choi, Seunghoon Park, Seunghyeok Oh, Jaesung Yoo
Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. ICOIN (2021)
Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim
Distributed deep reinforcement learning for autonomous aerial eVTOL mobility in drone taxi applications. ICT Express 7 (1) (2021)
Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. INFOCOM Workshops (2021)
Won Joon Yun, Joongheon Kim
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. ICTC (2020)
Won Joon Yun, Joongheon Kim
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. CoRR (2020)