Soyi Jung

发表

Multi-Site Split Learning for Privacy-Preserving Medical Systems under Data Imbalance Constraints: A Feasibility Study with COVID-19, X-Ray, and Cholesterol Dataset

Yoo Jeong Ha, Joongheon Kim, See-hwan Yoo, 2021 .

SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks

Won Joon Yun, M. Bennis, Joongheon Kim, 2022, ArXiv.

Visual Simulation Software Demonstration for Quantum Multi-Drone Reinforcement Learning

Won Joon Yun, Joongheon Kim, Soyi Jung, 2022, ArXiv.

Quantum Multiagent Actor–Critic Neural Networks for Internet-Connected Multirobot Coordination in Smart Factory Management

Won Joon Yun, Joongheon Kim, Soyi Jung, 2023, IEEE Internet of Things Journal.

Quantum Federated Learning with Entanglement Controlled Circuits and Superposition Coding

Won Joon Yun, M. Bennis, Joongheon Kim, 2022, ArXiv.

Slimmable Quantum Federated Learning

Won Joon Yun, M. Bennis, Joongheon Kim, 2022, ArXiv.

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

Joongheon Kim, Minseok Choi, Soyi Jung, 2022, ArXiv.

SlimFL: Federated Learning with Superposition Coding over Slimmable Neural Networks

Won Joon Yun, M. Bennis, Joongheon Kim, 2022, IEEE/ACM Transactions on Networking.

Deep Reinforcement Learning for Complex Topography in Urban Aerial Mobility: Sensor-based Calibration and Visualization

Joongheon Kim, Jae-Ung Park, Soyi Jung, 2022, 2022 13th International Conference on Information and Communication Technology Convergence (ICTC).

Feasibility study of multi-site split learning for privacy-preserving medical systems under data imbalance constraints in COVID-19, X-ray, and cholesterol dataset

Yoo Jeong Ha, Joongheon Kim, Gusang Lee, 2022, Scientific Reports.

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

Joongheon Kim, Seehwan Yoo, Gusang Lee, 2021, IEEE Access.

EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback

Won Joon Yun, Youn Kyu Lee, Joongheon Kim, 2023, ArXiv.

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

Won Joon Yun, Joongheon Kim, Jihong Park, 2022, 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS).

Quantum distributed deep learning architectures: Models, discussions, and applications

Won Joon Yun, Joongheon Kim, Minseok Choi, 2022, ICT Express.

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control pdf

MyungJae Shin, David A. Mohaisen, Won Joon Yun, 2022, IEEE Transactions on Industrial Informatics.

The Credibility Cryptocurrency Valuation: Statistical Learning Analysis for Influencer Tweets

Haemin Lee, Joongheon Kim, Soyi Jung, 2021, 2022 International Conference on Information Networking (ICOIN).

Quantum Multiagent Actor–Critic Networks for Cooperative Mobile Access in Multi-UAV Systems

Tiago Koketsu Rodrigues, Won Joon Yun, Joongheon Kim, 2023, IEEE Internet of Things Journal.

Software Simulation and Visualization of Quantum Multi-Drone Reinforcement Learning

Won Joon Yun, Joongheon Kim, Soyi Jung, 2022, 2211.15375.

Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility

Joongheon Kim, Soyi Jung, C. Park, 2023, IEEE Transactions on Intelligent Vehicles.

Introduction to Secure Computing Methods in Unmanned Aerial Vehicles

Joongheon Kim, Minseok Choi, M. Yoo, 2022, 2022 Thirteenth International Conference on Ubiquitous and Future Networks (ICUFN).

AoI-Aware Markov Decision Policies for Caching

Joongheon Kim, Minseok Choi, Soyi Jung, 2022, IEEE International Conference on Distributed Computing Systems.

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

Won Joon Yun, Joongheon Kim, Minseok Choi, 2022, ArXiv.

Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset

Won Joon Yun, Joongheon Kim, Hyung‐Chul Lee, 2023, Comput. Biol. Medicine.

Hierarchical Reinforcement Learning using Gaussian Random Trajectory Generation in Autonomous Furniture Assembly

David A. Mohaisen, Won Joon Yun, Joongheon Kim, 2022, International Conference on Information and Knowledge Management.

Truthful and performance-optimal computation outsourcing for aerial surveillance platforms via learning-based auction

David A. Mohaisen, Joongheon Kim, Soyi Jung, 2023, Comput. Networks.

Quantum Multi-Agent Reinforcement Learning via Variational Quantum Circuit Design

Won Joon Yun, Joongheon Kim, Jihong Park, 2022, 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS).

Two tales of platoon intelligence for autonomous mobility control: Enabling deep learning recipes

Joongheon Kim, Minseok Choi, Soyi Jung, 2023, ETRI Journal.

Two-Stage Self-Adaptive Task Outsourcing Decision Making for Edge-Assisted Multi-UAV Networks

Joongheon Kim, M. Levorato, Soyi Jung, 2023, IEEE Transactions on Vehicular Technology.

Trends in 3D Point Cloud Contents Sampling in Mobile AR/VR Platforms

Joongheon Kim, Minseok Choi, Soyi Jung, 2022, 2022 IEEE VTS Asia Pacific Wireless Communications Symposium (APWCS).

Two‐stage architectural fine‐tuning for neural architecture search in efficient transfer learning

Youn Kyu Lee, Seokshin Son, Soyi Jung, 2023, Electronics Letters.