Soyi Jung

Orcid: 0000-0001-8435-0646

Affiliations:
  • Korea University, Seoul, South Korea


According to our database1, Soyi Jung authored at least 92 papers between 2017 and 2024.

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

Timeline

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Online presence:

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Bibliography

2024
Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse.
IEEE Trans. Mob. Comput., December, 2024

Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks.
IEEE Internet Things J., December, 2024

Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Trans. Netw. Serv. Manag., August, 2024

Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles.
IEEE Trans. Veh. Technol., July, 2024

Stabilized Performance Maximization for GAN-based Real-Time Authentication Image Generation over Internet.
Multim. Tools Appl., July, 2024

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation.
IEEE Commun. Mag., June, 2024

Group contention-based full-duplex unmanned aerial vehicle relay system.
ICT Express, February, 2024

Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks.
CoRR, 2024

Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks.
IEEE Access, 2024

Sensing-to-Sky Intermittent Connectivity Realization for LTE-Enabled Drone Platforms: Embedded Design, Measurement Study, and Positioning Applications.
IEEE Access, 2024

Enhancing Cost-Effective 5G Virtualized RAN Pooling Gain on Clouds: An Intelligent Auto-Scaling Approach.
IEEE Access, 2024

Enhancing UAV Stability: A Deep Reinforcement Learning Strategy.
Proceedings of the International Conference on Electronics, Information, and Communication, 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
SlimFL: Federated Learning With Superposition Coding Over Slimmable Neural Networks.
IEEE/ACM Trans. Netw., December, 2023

Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks.
IEEE Trans. Veh. Technol., November, 2023

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

Energy-efficient full-duplex MAC protocol design for air-terrestrial communication.
J. Commun. Networks, June, 2023

Quantum Multiagent Actor-Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management.
IEEE Internet Things J., June, 2023

Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auction.
Comput. Networks, April, 2023

Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset.
Comput. Biol. Medicine, April, 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

Quantum distributed deep learning architectures: Models, discussions, and applications.
ICT Express, 2023

Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes.
CoRR, 2023

Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications.
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

Quantum Multi-Agent Actor-Critic Neural Networks for Internet-Connected Multi-Robot Coordination in Smart Factory Management.
CoRR, 2023

Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems.
CoRR, 2023

Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks.
IEEE Access, 2023

Hybrid MAC for Military UAV Networks.
Proceedings of the International Conference on Information Networking, 2023

Neural Architectural Nonlinear Pre-Processing for mmWave Radar-based Human Gesture Perception.
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

2022
Parallelized and randomized adversarial imitation learning for safety-critical self-driving vehicles.
J. Commun. Networks, December, 2022

Neural Myerson auction for truthful and energy-efficient autonomous aerial data delivery.
J. Commun. Networks, December, 2022

Stabilized Detection Accuracy Maximization Using Adaptive SAR Image Processing in LEO Networks.
IEEE Trans. Veh. Technol., 2022

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control.
IEEE Trans. Ind. Informatics, 2022

Trustworthy handover in LEO satellite mobile networks.
ICT Express, 2022

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding.
CoRR, 2022

Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning.
CoRR, 2022

Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles.
CoRR, 2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable and Energy-Efficient Mobile Access via Multi-UAV Control.
CoRR, 2022

Slimmable Quantum Federated Learning.
CoRR, 2022

Quantum Heterogeneous Distributed Deep Learning Architectures: Models, Discussions, and Applications.
CoRR, 2022

Feasibility Study of Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints in COVID-19, X-Ray, and Cholesterol Dataset.
CoRR, 2022

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control.
CoRR, 2022

Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

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

Search Space Adaptation for Differentiable Neural Architecture Search in Image Classification.
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

Deep Reinforcement Learning for Complex Topography in Urban Aerial Mobility: Sensor-based Calibration and Visualization.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Spatio-Temporal Attack Course-of-Action (COA) Search Learning for Scalable and Time-Varying Networks.
Proceedings of the 13th International Conference on Information and Communication Technology Convergence, 2022

Stable Marriage Matching for Traffic-Aware Space-Air-Ground Integrated Networks: A Gale-Shapley Algorithmic Approach.
Proceedings of the International Conference on Information Networking, 2022

The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets.
Proceedings of the International Conference on Information Networking, 2022

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design.
Proceedings of the 42nd IEEE International Conference on Distributed Computing Systems, 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

Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DDPG-based Deep Reinforcement Learning for Loitering Munition Mobility Control: Algorithm Design and Visualization.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2022

Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms.
Proceedings of the IEEE VTS Asia Pacific Wireless Communications Symposium, 2022

2021
Orchestrated Scheduling and Multi-Agent Deep Reinforcement Learning for Cloud-Assisted Multi-UAV Charging Systems.
IEEE Trans. Veh. Technol., 2021

Infrastructure-Assisted on-Driving Experience Sharing for Millimeter-Wave Connected Vehicles.
IEEE Trans. Veh. Technol., 2021

Intelligent Active Queue Management for Stabilized QoS Guarantees in 5G Mobile Networks.
IEEE Syst. J., 2021

Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data.
Sensors, 2021

Adaptive and stabilized real-time super-resolution control for UAV-assisted smart harbor surveillance platforms.
J. Real Time Image Process., 2021

Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems.
J. Commun. Networks, 2021

Distributed deep reinforcement learning for autonomous aerial eVTOL mobility in drone taxi applications.
ICT Express, 2021

Truthful electric vehicle charging via neural-architectural Myerson auction.
ICT Express, 2021

Adaptive speckle filtering for real-time computing in low earth orbit satellite synthetic aperture radar.
ICT Express, 2021

The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets.
CoRR, 2021

Communication and Energy Efficient Slimmable Federated Learning via Superposition Coding and Successive Decoding.
CoRR, 2021

Spatio-Temporal Split Learning for Autonomous Aerial Surveillance using Urban Air Mobility (UAM) Networks.
CoRR, 2021

Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies With COVID-19 CT, X-Ray, and Cholesterol Data.
IEEE Access, 2021

Attention-based Reinforcement Learning for Real-Time UAV Semantic Communication.
Proceedings of the 17th International Symposium on Wireless Communication Systems, 2021

Visualization of Deep Reinforcement Autonomous Aerial Mobility Learning Simulations.
Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

Quantum Neural Networks: Concepts, Applications, and Challenges.
Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021

Secure Aerial Surveillance using Split Learning.
Proceedings of the Twelfth International Conference on Ubiquitous and Future Networks, 2021

Autonomous Aerial Mobility Learning for Drone-Taxi Flight Control.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Introduction to Quantum Reinforcement Learning: Theory and PennyLane-based Implementation.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Trends in Neural Architecture Search: Towards the Acceleration of Search.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021

Infrastructure-Assisted Cooperative Multi-UAV Deep Reinforcement Energy Trading Learning for Big-Data Processing.
Proceedings of the International Conference on Information Networking, 2021

Spatio-Temporal Split Learning.
Proceedings of the 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2021

Distributed and Autonomous Aerial Data Collection in Smart City Surveillance Applications.
Proceedings of the 2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS), 2021

Quantum Scheduling for Millimeter-Wave Observation Satellite Constellation.
Proceedings of the 2021 IEEE VTS 17th Asia Pacific Wireless Communications Symposium (APWCS), 2021

2020
Belief Propagation based Scheduling for Energy Efficient Multi-drone Monitoring System.
Proceedings of the International Conference on Information and Communication Technology Convergence, 2020

2019
Reliability Control Framework for Random Access of Massive IoT Devices.
IEEE Access, 2019

Reducing Consecutive Collisions in Sensing Based Semi Persistent Scheduling for Cellular-V2X.
Proceedings of the 90th IEEE Vehicular Technology Conference, 2019

2018
Adaptive resource allocation and congestion control algorithm for massive devices in LTE-A.
Proceedings of the 2018 IEEE Wireless Communications and Networking Conference, 2018

2017
Performance evaluation of random access response estimation scheme for IoT communications.
Proceedings of the IEEE International Conference on Communications, 2017


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