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2020 – today
- 2024
[j16]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): 103-117 (2024)- [j15]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): 2510-2521 (2024) - [j14]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): 2025-2038 (2024) - 2023
- [j13]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: 106739 (2023) - [j12]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): 486-491 (2023) - [j11]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): 9942-9952 (2023) - [j10]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): 20033-20048 (2023) - [j9]Hankyul Baek, Won Joon Yun, Soohyun Park, Joongheon Kim:
Stereoscopic scalable quantum convolutional neural networks. Neural Networks 165: 860-867 (2023) - [j8]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): 885-890 (2023) - [j7]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): 2499-2514 (2023) - [c22]Won Joon Yun, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Meta Reinforcement Learning. AAAI 2023: 11087-11095 - [c21]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: 16156-16157 - [c20]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: 1009-1012 - [c19]Won Joon Yun, Samuel Kim, Joongheon Kim:
Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare. ICDCS 2023: 1033-1036 - [c18]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: 1043-1044 - [c17]Jae Pyoung Kim, Won Joon Yun, Hankyul Baek, Joongheon Kim:
Modern Trends in Quantum AI: Distributed and High-Definition Computation. ICOIN 2023: 750-754 - [i34]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 abs/2301.00124 (2023) - [i33]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 abs/2301.04012 (2023) - [i32]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 abs/2302.03853 (2023) - [i31]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 abs/2302.04445 (2023) - [i30]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 abs/2304.08493 (2023) - [i29]Won Joon Yun, Samuel Kim, Joongheon Kim:
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare. CoRR abs/2306.16367 (2023) - 2022
- [j6]Won Joon Yun, Myungjae Shin, Soyi Jung, Sean Soek-Chul Kwon, Joongheon Kim:
Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles. J. Commun. Networks 24(6): 710-721 (2022) - [j5]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): 7086-7096 (2022) - [j4]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): 2002-2017 (2022) - [j3]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): 7599-7612 (2022) - [c16]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: 112-116 - [c15]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: 3624-3633 - [c14]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: 1332-1335 - [c13]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: 1581-1584 - [c12]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: 1729-1738 - [c11]Minseok Choi, Won Joon Yun, Joongheon Kim:
Cooperative Video Quality Adaptation for Delay-Sensitive Dynamic Streaming using Adaptive Super-Resolution. WiOpt 2022: 262-268 - [i28]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 abs/2201.05843 (2022) - [i27]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 abs/2202.08604 (2022) - [i26]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 abs/2202.11200 (2022) - [i25]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 abs/2203.10443 (2022) - [i24]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 abs/2203.14094 (2022) - [i23]Won Joon Yun, Jae Pyoung Kim, Soyi Jung, Jihong Park, Mehdi Bennis, Joongheon Kim:
Slimmable Quantum Federated Learning. CoRR abs/2207.10221 (2022) - [i22]Won Joon Yun, Jihong Park, Joongheon Kim:
Quantum Multi-Agent Meta Reinforcement Learning. CoRR abs/2208.11510 (2022) - [i21]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 abs/2209.00862 (2022) - [i20]Hankyul Baek, Won Joon Yun, Joongheon Kim:
Scalable Quantum Convolutional Neural Networks. CoRR abs/2209.12372 (2022) - [i19]Won Joon Yun, Soohyun Park, Joongheon Kim, David Mohaisen:
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. CoRR abs/2209.14525 (2022) - [i18]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 abs/2210.00945 (2022) - [i17]Hankyul Baek, Won Joon Yun, Joongheon Kim:
3D Scalable Quantum Convolutional Neural Networks for Point Cloud Data Processing in Classification Applications. CoRR abs/2210.09728 (2022) - [i16]Won Joon Yun, Hankyul Baek, Joongheon Kim:
Projection Valued Measure-based Quantum Machine Learning for Multi-Class Classification. CoRR abs/2210.16731 (2022) - [i15]Won Joon Yun, Hankyul Baek, Joongheon Kim:
Quantum Split Neural Network Learning using Cross-Channel Pooling. CoRR abs/2211.06524 (2022) - [i14]Chanyoung Park, Jae Pyoung Kim, Won Joon Yun, Soyi Jung, Joongheon Kim:
Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning. CoRR abs/2211.15375 (2022) - [i13]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 abs/2212.01732 (2022) - 2021
- [j2]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): 1-4 (2021) - [j1]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): 5362-5377 (2021) - [c10]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: 56-58 - [c9]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: 159-162 - [c8]Won Joon Yun, Yoo Jeong Ha, Soyi Jung, Joongheon Kim:
Autonomous Aerial Mobility Learning for Drone-Taxi Flight Control. ICTC 2021: 329-332 - [c7]Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. ICTC 2021: 416-420 - [c6]Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
Trends in Neural Architecture Search: Towards the Acceleration of Search. ICTC 2021: 421-424 - [c5]Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim:
Quantum Neural Networks: Concepts, Applications, and Challenges. ICUFN 2021: 413-416 - [c4]Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. INFOCOM Workshops 2021: 1-2 - [c3]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: 1-6 - [c2]Won Joon Yun, Sungwon Yi, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. SMC 2021: 2967-2972 - [i12]Gusang Lee, Won Joon Yun, Soyi Jung, Joongheon Kim, Jae-Hyun Kim:
Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations. CoRR abs/2102.08761 (2021) - [i11]Won Joon Yun, Sungwon Yi, Joongheon Kim:
Multi-Agent Deep Reinforcement Learning using Attentive Graph Neural Architectures for Real-Time Strategy Games. CoRR abs/2105.10211 (2021) - [i10]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 abs/2105.10716 (2021) - [i9]Yunseok Kwak, Won Joon Yun, Soyi Jung, Joongheon Kim:
Quantum Neural Networks: Concepts, Applications, and Challenges. CoRR abs/2108.01468 (2021) - [i8]Yunseok Kwak, Won Joon Yun, Soyi Jung, Jong-Kook Kim, Joongheon Kim:
Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation. CoRR abs/2108.06849 (2021) - [i7]Youngkee Kim, Won Joon Yun, Youn Kyu Lee, Soyi Jung, Joongheon Kim:
Trends in Neural Architecture Search: Towards the Acceleration of Search. CoRR abs/2108.08474 (2021) - [i6]Minseok Choi, Won Joon Yun, Joongheon Kim:
Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming using Adaptive Super-Resolution. CoRR abs/2110.05783 (2021) - [i5]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 abs/2111.09425 (2021) - [i4]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 abs/2112.02543 (2021) - [i3]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 abs/2112.03267 (2021) - [i2]Won Joon Yun, Myungjae Shin, Soyi Jung, Sean Soek-Chul Kwon, Joongheon Kim:
Parallelized and Randomized Adversarial Imitation Learning for Safety-Critical Self-Driving Vehicles. CoRR abs/2112.14710 (2021) - 2020
- [c1]Won Joon Yun, Joongheon Kim:
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. ICTC 2020: 240-243 - [i1]Won Joon Yun, Joongheon Kim:
3D Modeling and WebVR Implementation using Azure Kinect, Open3D, and Three.js. CoRR abs/2009.09357 (2020)
Coauthor Index
[j16] [j15] [j14] [j13] [j12] [j11] [j10] [j9] [j8] [j7] [c22] [c21] [c20] [c19] [c18] [c17] [i34] [i33] [i32] [i31] [i30] [i29] [j6] [j5] [j4] [j3] [c16] [c15] [c14] [c13] [c12] [c11] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [j2] [j1] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c2] [i12] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [i4] [i3] [i2] [c1] [i1]
SooHyun Park
aka: Soohyun Park
aka: Soohyun Park
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