SooHyun Park
Orcid: 0000-0001-9847-9985
According to our database1,
SooHyun Park
authored at least 62 papers
between 2017 and 2024.
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Bibliography
2024
Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks.
IEEE Commun. Mag., October, 2024
Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach.
IEEE Trans. Veh. Technol., August, 2024
Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., August, 2024
Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization.
IEEE Trans. Wirel. Commun., July, 2024
Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles.
IEEE Trans. Veh. Technol., July, 2024
IEEE Commun. Mag., June, 2024
IEEE Trans. Veh. Technol., April, 2024
Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution.
IEEE Trans. Green Commun. Netw., March, 2024
AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation.
Future Gener. Comput. Syst., 2024
Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks.
CoRR, 2024
Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization.
CoRR, 2024
Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks.
IEEE Access, 2024
IEEE Access, 2024
Sensing-Aware Deep Reinforcement Learning With HCI-Based Human-in-the-Loop Feedback for Autonomous Nonlinear Drone Mobility Control.
IEEE Access, 2024
Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications.
IEEE Access, 2024
Quantum Multi - Agent Reinforcement Learning Software Design and Visual Simulations for Multi - Drone Mobility Control.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2024
2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility.
IEEE Trans. Intell. Veh., August, 2023
Neural Networks, August, 2023
Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications.
IEEE Trans. Intell. Transp. Syst., January, 2023
Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework.
IEEE Open J. Comput. Soc., 2023
Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
IEEE Internet Things J., 2023
EQuaTE: Efficient Quantum Train Engine for Runtime Dynamic Analysis and Visual Feedback in Autonomous Driving.
IEEE Internet Comput., 2023
Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer.
CoRR, 2023
Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes.
CoRR, 2023
Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems.
CoRR, 2023
EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback.
CoRR, 2023
Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems.
CoRR, 2023
Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection.
IEEE Access, 2023
Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks.
IEEE Access, 2023
Proceedings of the International Conference on Information Networking, 2023
Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis.
Proceedings of the 43rd IEEE International Conference on Distributed Computing Systems, 2023
Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility.
Proceedings of the IEEE International Conference on Communications, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Quantum Reinforcement Learning for Large-Scale Multi-Agent Decision-Making in Autonomous Aerial Networks.
Proceedings of the VTS Asia Pacific Wireless Communications Symposium, 2023
2022
Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control.
IEEE Trans. Ind. Informatics, 2022
CoRR, 2022
Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control.
CoRR, 2022
Adaptive and Stabilized Streaming for Edge-Assisted Connected Vehicles under Heterogeneous Computing Constraints.
Proceedings of the 95th IEEE Vehicular Technology Conference, 2022
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022
2021
Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data.
Sensors, 2021
Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems.
J. Commun. Networks, 2021
Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning.
CoRR, 2021
IEEE Access, 2021
Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021
Auction-based Deep Learning Computation Offloading for Truthful Edge Computing: A Myerson Auction Approach.
Proceedings of the International Conference on Information Networking, 2021
Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms.
Proceedings of the International Conference on Information Networking, 2021
Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach.
Proceedings of the International Conference on Information Networking, 2021
2020
Self-Controllable Super-Resolution Deep Learning Framework for Surveillance Drones in Security Applications.
EAI Endorsed Trans. Security Safety, 2020
IEEE Internet Things J., 2020
Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020
Fast and Reliable Offloading via Deep Reinforcement Learning for Mobile Edge Video Computing.
Proceedings of the 2020 International Conference on Information Networking, 2020
Proceedings of the 2020 International Conference on Information Networking, 2020
2019
Proceedings of the 17th Annual International Conference on Mobile Systems, 2019
Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2019
2018
High-dimensional statistical supervised learning for extracting information in steganography.
Proceedings of the 2018 International Conference on Information Networking, 2018
2017
Micro-patterned films of bio-functionalized conducting polymers for cellular engineering.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017