SooHyun Park

Orcid: 0000-0001-9847-9985

According to our database1, SooHyun Park authored at least 52 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution.
IEEE Trans. Green Commun. Netw., March, 2024

Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization.
CoRR, 2024

Sensing-Aware Deep Reinforcement Learning With HCI-Based Human-in-the-Loop Feedback for Autonomous Nonlinear Drone Mobility Control.
IEEE Access, 2024

2023
Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility.
IEEE Trans. Intell. Veh., August, 2023

Stereoscopic scalable quantum convolutional neural networks.
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

Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization.
CoRR, 2023

Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach.
CoRR, 2023

Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer.
CoRR, 2023

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation.
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

Introduction to MITRE ATT&CK: Concepts and Use Cases.
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

Quantum Split Learning for Privacy-Preserving Information Management.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Logarithmic Dimension Reduction for Quantum Neural Networks.
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

Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles.
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

Introduction to Secure Computing Methods in Unmanned Aerial Vehicles.
Proceedings of the Thirteenth International Conference on Ubiquitous and Future Networks, 2022

Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

AoI-Aware Markov Decision Policies for Caching.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 2022

Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints.
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

Trends in LEO Satellite Handover Algorithms.
CoRR, 2021

Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning.
CoRR, 2021

Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles.
IEEE Access, 2021

Secure Aerial Surveillance using Split Learning.
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

Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks.
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

Learning-based Dot-Grid Alignment for Projection Distortion Correction.
Proceedings of the 2020 International Conference on Information Networking, 2020

2019
Multi-Agent Deep Reinforcement Learning for Connected Vehicles.
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


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