Micro-patterned films of bio-functionalized conducting polymers for cellular engineering. - SooHyun Park; Mohammad Reza Abidian; Sheereen Majd (EMBC, 2017)

High-dimensional statistical supervised learning for extracting information in steganography. - Sunjun Hwang; Kyeong Seon Kim; Yejin Kim; Junhui Kim; Miji Park; SooHyun Park; Joongheon Kim (ICOIN, 2018)

Joint Offloading and Streaming in Mobile Edges: A Deep Reinforcement Learning Approach. - SooHyun Park; Junhui Kim; Dohyun Kwon 001; Myungjae Shin; Joongheon Kim (APWCS, 2019)

Multi-Agent Deep Reinforcement Learning for Connected Vehicles. - Dohyun Kwon 001; SooHyun Park; Joongheon Kim (MobiSys, 2019)

Learning-based Dot-Grid Alignment for Projection Distortion Correction. - Dohyun Kim 001; Dohyun Kwon 001; SooHyun Park; Joongheon Kim (ICOIN, 2020)

Fast and Reliable Offloading via Deep Reinforcement Learning for Mobile Edge Video Computing. - SooHyun Park; Yeongeun Kang; Yafei Tian; Joongheon Kim (ICOIN, 2020)

Reinforced Edge Selection using Deep Learning for Robust Surveillance in Unmanned Aerial Vehicles. - Soohyun Park; Jeman Park 001; David Mohaisen; Joongheon Kim (ICTC, 2020)

Multiagent DDPG-Based Deep Learning for Smart Ocean Federated Learning IoT Networks. - Dohyun Kwon 001; Joohyung Jeon; Soohyun Park; Joongheon Kim; Sungrae Cho (IEEE Internet Things J., 2020)

Self-Controllable Super-Resolution Deep Learning Framework for Surveillance Drones in Security Applications. - SooHyun Park; Yeongeun Kang; Jeman Park 001; Joongheon Kim (EAI Endorsed Trans. Security Safety, 2020)

Proper Cost Hamiltonian Design for Combinatorial Optimization Problems: A Boolean Function Approach. - Jaeho Choi; Seunghyeok Oh; Soohyun Park; Jong-Kook Kim; Joongheon Kim (ICOIN, 2021)

Performance Comparison of SRCNN, VDSR, and SRDenseNet Deep Learning Models in Embedded Autonomous Driving Platforms. - Joongheon Kim; Myungjae Shin; Dohyun Kim 001; Soohyun Park; Yeongeun Kang; Junghyun Kim; Haemin Lee; Won Joon Yun; Jaeho Choi; Seunghoon Park; Seunghyeok Oh; Jaesung Yoo (ICOIN, 2021)

Auction-based Deep Learning Computation Offloading for Truthful Edge Computing: A Myerson Auction Approach. - Haemin Lee; Soohyun Park; Junghyun Kim; Joongheon Kim (ICOIN, 2021)

Secure Aerial Surveillance using Split Learning. - Yoo Jeong Ha; Minjae Yoo; Soohyun Park; Soyi Jung; Joongheon Kim (ICUFN, 2021)

Joint Mobile Charging and Coverage-Time Extension for Unmanned Aerial Vehicles. - Soohyun Park; Won-Yong Shin; Minseok Choi; Joongheon Kim (IEEE Access, 2021)

Axial-to-lateral super-resolution for 3D fluorescence microscopy using unsupervised deep learning. - Hyoungjun Park; Myeongsu Na; Bumju Kim; Soohyun Park; Ki Hean Kim; Sunghoe Chang; Jong Chul Ye (CoRR, 2021)

Trends in LEO Satellite Handover Algorithms. - Soohyun Park; Joongheon Kim (CoRR, 2021)

Stabilized adaptive sampling control for reliable real-time learning-based surveillance systems. - Dohyun Kim 001; Soohyun Park; Joongheon Kim; Jae Young Bang; Soyi Jung (J. Commun. Networks, 2021)

Large-Scale Water Quality Prediction Using Federated Sensing and Learning: A Case Study with Real-World Sensing Big-Data. - Soohyun Park; Soyi Jung; Haemin Lee; Joongheon Kim; Jae-Hyun Kim (Sensors, 2021)

Quality-Aware Real-Time Augmented Reality Visualization under Delay Constraints. - Rhoan Lee; Soohyun Park; Soyi Jung; Joongheon Kim (ICDCS, 2022)

AoI-Aware Markov Decision Policies for Caching. - Soohyun Park; Soyi Jung; Minseok Choi; Joongheon Kim (ICDCS, 2022)

Tutorial on Course-of-Action (COA) Attack Search Methods in Computer Networks. - Seok Bin Son; Soohyun Park; Haemin Lee; Joongheon Kim; Soyi Jung; Dong Hwa Kim 002 (ICTC, 2022)

Introduction to Secure Computing Methods in Unmanned Aerial Vehicles. - Soohyun Park; Minjae Yoo; Soyi Jung; Minseok Choi; Joongheon Kim (ICUFN, 2022)

Adaptive and Stabilized Streaming for Edge-Assisted Connected Vehicles under Heterogeneous Computing Constraints. - Rhoan Lee; Haemin Lee; Soohyun Park; Joongheon Kim (VTC Spring, 2022)

Cooperative Multi-Agent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Won Joon Yun; Soohyun Park; Joongheon Kim; Myungjae Shin; Soyi Jung; David A. Mohaisen; Jae-Hyun Kim (CoRR, 2022)

Age-of-Information Aware Contents Caching and Distribution for Connected Vehicles. - Soohyun Park; Chanyoung Park 002; Soyi Jung; Minseok Choi; Joongheon Kim (CoRR, 2022)

Cooperative Multiagent Deep Reinforcement Learning for Reliable Surveillance via Autonomous Multi-UAV Control. - Won Joon Yun; Soohyun Park; Joongheon Kim; Myungjae Shin; Soyi Jung; David A. Mohaisen; Jae-Hyun Kim (IEEE Trans. Ind. Informatics, 2022)

Quantum Reinforcement Learning for Large-Scale Multi-Agent Decision-Making in Autonomous Aerial Networks. - Soohyun Park; Joongheon Kim (APWCS, 2023)

Logarithmic Dimension Reduction for Quantum Neural Networks. - Hankyul Baek; Soohyun Park; Joongheon Kim (CIKM, 2023)

Quantum Split Learning for Privacy-Preserving Information Management. - Soohyun Park; Hankyul Baek; Joongheon Kim (CIKM, 2023)

Multi-Agent Deep Reinforcement Learning for Efficient Passenger Delivery in Urban Air Mobility. - Chanyoung Park 002; Soohyun Park; Gyu Seon Kim; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (ICC, 2023)

Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis. - Soohyun Park; Hao Feng 002; Won Joon Yun; Chanyoung Park 002; Youn Kyu Lee; Soyi Jung; Joongheon Kim (ICDCS, 2023)

Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications. - Chanyoung Park 002; Haemin Lee; Won Joon Yun; Soohyun Park; Soyi Jung; Joongheon Kim (ICDCS, 2023)

Introduction to MITRE ATT&CK: Concepts and Use Cases. - Seok Bin Son; Soohyun Park; Haemin Lee; Youngkee Kim; Dongwan Kim; Joongheon Kim (ICOIN, 2023)

Workload-Aware Scheduling Using Markov Decision Process for Infrastructure-Assisted Learning-Based Multi-UAV Surveillance Networks. - Soohyun Park; Chanyoung Park 002; Soyi Jung; Jae-Hyun Kim; Joongheon Kim (IEEE Access, 2023)

Entropy-Aware Similarity for Balanced Clustering: A Case Study With Melanoma Detection. - Seok Bin Son; Soohyun Park; Joongheon Kim (IEEE Access, 2023)

Situation-Aware Deep Reinforcement Learning for Autonomous Nonlinear Mobility Control in Cyber-Physical Loitering Munition Systems. - Hyunsoo Lee; Soohyun Park; Won Joon Yun; Soyi Jung; Joongheon Kim (CoRR, 2023)

EQuaTE: Efficient Quantum Train Engine for Dynamic Analysis via HCI-based Visual Feedback. - Soohyun Park; Won Joon Yun; Chanyoung Park 002; Youn Kyu Lee; Soyi Jung; Hao Feng 002; Joongheon Kim (CoRR, 2023)

Quantum Multi-Agent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. - Chanyoung Park 002; Won Joon Yun; Jae Pyoung Kim; Tiago Koketsu Rodrigues; Soohyun Park; Soyi Jung; Joongheon Kim (CoRR, 2023)

Two Tales of Platoon Intelligence for Autonomous Mobility Control: Enabling Deep Learning Recipes. - Soohyun Park; Haemin Lee; Chanyoung Park 002; Soyi Jung; Minseok Choi; Joongheon Kim (CoRR, 2023)

Investigation of factors regarding the effects of COVID-19 pandemic on college students' depression by quantum annealer. - Jung-Gu Choi; Kion Kim; Soohyun Park; Juyoen Hur; Hyunjung Yang; Younghoon Kim; Hakbae Lee; Sanghoon Han (CoRR, 2023)

EQuaTE: Efficient Quantum Train Engine for Runtime Dynamic Analysis and Visual Feedback in Autonomous Driving. - Soohyun Park; Hao Feng 002; Chanyoung Park 002; Youn Kyu Lee; Soyi Jung; Joongheon Kim (IEEE Internet Comput., 2023)

Quantum Multiagent Actor-Critic Networks for Cooperative Mobile Access in Multi-UAV Systems. - Chanyoung Park 002; Won Joon Yun; Jae Pyoung Kim; Tiago Koketsu Rodrigues; Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Internet Things J., 2023)

Real-Time High-Quality Visualization for Volumetric Contents Rendering: A Lyapunov Optimization Framework. - Hankyul Baek; Rhoan Lee; Soyi Jung; Joongheon Kim; Soohyun Park (IEEE Open J. Comput. Soc., 2023)

Self-Configurable Stabilized Real-Time Detection Learning for Autonomous Driving Applications. - Won Joon Yun; Soohyun Park; Joongheon Kim; David Mohaisen (IEEE Trans. Intell. Transp. Syst., 2023)

Stereoscopic scalable quantum convolutional neural networks. - Hankyul Baek; Won Joon Yun; Soohyun Park; Joongheon Kim (Neural Networks, 2023)

Multi-Agent Reinforcement Learning for Cooperative Air Transportation Services in City-Wide Autonomous Urban Air Mobility. - Chanyoung Park 002; Gyu Seon Kim; Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Trans. Intell. Veh., 2023)

Quantum Multi - Agent Reinforcement Learning Software Design and Visual Simulations for Multi - Drone Mobility Control. - Soohyun Park; Gyu Seon Kim; Soyi Jung; Joongheon Kim (APWCS, 2024)

Early Prediction of Depressive Episodes in Mood Disorders Using Circadian Rhythm Indicators and Deep Learning. - Byeongsu Kim; Minsu Chae; Yihyun Kim; Seokjin Kong; Yeongmin Kim; Taewon Jung; Jaegwon Jeong; Soohyun Park; Chul-Hyun Cho; Ji Won Yeom; Taek Lee; Heon-Jeong Lee; et al. (BIBM, 2024)

Introduction to Quantum Multi-Agent Reinforcement Learning: Concepts and Applications. - Yeryeong Cho; Seok Bin Son; Soohyun Park; Joongheon Kim (ICTC, 2024)

Trends in Reinforcement Learning Methods for Stock Prediction. - Jaehyun Chung; Hyunseok Choi; Seokhyeon Min; Soohyun Park; Joongheon Kim (ICTC, 2024)

Quantum Teleportation: A Premier Quantum Communication Protocol. - Chaemoon Im; Soohyun Park; Joongheon Kim (ICTC, 2024)

Quantum Reinforcement Learning: An Overview. - Gyu Seon Kim; Soohyun Park; Joongheon Kim (ICTC, 2024)

Trends in Transfer Learning on Reinforcement Learning for Mobility Control. - Sungjoon Lee; Soohyun Park; Joongheon Kim (ICTC, 2024)

Automatic Stock Profit Maximization via Deep Reinforcement Learning and Correlation Analysis. - Soohyun Park; Minjoo Joo (ICTC, 2024)

Trends in One-Shot Neural Architecture Search. - Seok Bin Son; Soohyun Park; Joongheon Kim (ICTC, 2024)

Advanced Taxiing Path Guidance Using Multi-Agent Reinforcement Learning for Air Traffic Management. - Sungjoon Lee; Gyu Seon Kim; Soohyun Park; Joongheon Kim (WiOpt, 2024)

Farthest Agent Selection With Episode-Wise Observations for Real-Time Multi-Agent Reinforcement Learning Applications. - Hyunsoo Lee; Gyu Seon Kim; Minseok Choi; Hankyul Baek; Soohyun Park (IEEE Access, 2024)

Sensing-Aware Deep Reinforcement Learning With HCI-Based Human-in-the-Loop Feedback for Autonomous Nonlinear Drone Mobility Control. - Hyunsoo Lee; Soohyun Park (IEEE Access, 2024)

Quantum Reinforcement Learning for Spatio-Temporal Prioritization in Metaverse. - Soohyun Park; Hankyul Baek; Joongheon Kim (IEEE Access, 2024)

Dynamic Quantum Federated Learning for Satellite-Ground Integrated Systems Using Slimmable Quantum Neural Networks. - Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Access, 2024)

Quantum Neural Network Software Testing, Analysis, and Code Optimization for Advanced IoT Systems: Design, Implementation, and Visualization. - Soohyun Park; Joongheon Kim (CoRR, 2024)

Quantum Multi-Agent Reinforcement Learning for Cooperative Mobile Access in Space-Air-Ground Integrated Networks. - Gyu Seon Kim; Yeryeong Cho; Jaehyun Chung; Soohyun Park; Soyi Jung; Zhu Han 001; Joongheon Kim (CoRR, 2024)

AQUA: Analytics-driven quantum neural network (QNN) user assistance for software validation. - Soohyun Park; Hankyul Baek; Jung Won Yoon 005; Youn Kyu Lee; Joongheon Kim (Future Gener. Comput. Syst., 2024)

Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution. - Minseok Choi; Won Joon Yun; Seok Bin Son; Soohyun Park; Joongheon Kim (IEEE Trans. Green Commun. Netw., 2024)

Learning-Based Cooperative Mobility Control for Autonomous Drone-Delivery. - Soohyun Park; Chanyoung Park 002; Joongheon Kim (IEEE Trans. Veh. Technol., 2024)

Quantum Multi-Agent Reinforcement Learning for Autonomous Mobility Cooperation. - Soohyun Park; Jae Pyoung Kim; Chanyoung Park 002; Soyi Jung; Joongheon Kim (IEEE Commun. Mag., 2024)

Age-of-Information Aware Caching and Delivery for Infrastructure-Assisted Connected Vehicles. - Soohyun Park; Chanyoung Park 002; Soyi Jung; Minseok Choi; Joongheon Kim (IEEE Trans. Veh. Technol., 2024)

Handover Protocol Learning for LEO Satellite Networks: Access Delay and Collision Minimization. - Ju-Hyung Lee 001; Chanyoung Park 002; Soohyun Park; Andreas F. Molisch (IEEE Trans. Wirel. Commun., 2024)

Cooperative Multi-UAV Positioning for Aerial Internet Service Management: A Multi-Agent Deep Reinforcement Learning Approach. - Joongheon Kim; Soohyun Park; Soyi Jung; Carlos Cordeiro 001 (IEEE Trans. Netw. Serv. Manag., 2024)

Realizing Stabilized Landing for Computation-Limited Reusable Rockets: A Quantum Reinforcement Learning Approach. - Gyu Seon Kim; Jaehyun Chung; Soohyun Park (IEEE Trans. Veh. Technol., 2024)

Quantum Multi-Agent Reinforcement Learning is All You Need: Coordinated Global Access in Integrated TN/NTN Cube-Satellite Networks. - Soohyun Park; Gyu Seon Kim; Zhu Han 001; Joongheon Kim (IEEE Commun. Mag., 2024)

The Matrix: Quantum AI for Interacting Two Worlds in Prioritized Metaverse Spaces. - Soohyun Park; Hankyul Baek; Joongheon Kim (IEEE Commun. Mag., 2024)

Markov Decision Policies for Distributed Angular Routing in LEO Mobile Satellite Constellation Networks. - Soohyun Park; Gyu Seon Kim; Soyi Jung; Joongheon Kim (IEEE Internet Things J., 2024)

Joint Quantum Reinforcement Learning and Stabilized Control for Spatio-Temporal Coordination in Metaverse. - Soohyun Park; Jaehyun Chung; Chanyoung Park 002; Soyi Jung; Minseok Choi; Sungrae Cho; Joongheon Kim (IEEE Trans. Mob. Comput., 2024)

Spatio-Temporal Multi-Metaverse Dynamic Streaming for Hybrid Quantum-Classical Systems. - Soohyun Park; Hankyul Baek; Joongheon Kim (IEEE/ACM Trans. Netw., 2024)

Hybrid Quantum-Classical Style Transfer (Student Abstract). - Emily Jimin Roh; Joo Yong Shim; Soohyun Park; Joongheon Kim (AAAI, 2025)

Quantum Reinforcement Learning for Coordinated Satellite Systems. - Gyu Seon Kim; Samuel Yen-Chi Chen; Soohyun Park; Joongheon Kim (ICASSP, 2025)

Multi-Modal LLM-Based Fully-Automated Training Dataset Generation Software Platform for Mathematics Education. - Minjoo Kim; Taehyun Kim Kim; Jaehyun Chung; Hyunseok Choi; Seokhyeon Min; Joon-Ho Lim; Soohyun Park (ICSE-SEIS, 2025)

Joint Multi-Agent Reinforcement Learning and Message-Passing for Distributed Multi-Uav Network Management using Conflict Graphs. - Yeryeong Cho; Hyunsoo Lee; Soohyun Park; Joongheon Kim (NOMS, 2025)

Correlation-assisted spatio-temporal reinforcement learning for stock revenue maximization. - Jaehyun Chung; Minjoo Kim; Seokhyeon Min; Hyunseok Choi; Soohyun Park; Joongheon Kim (Expert Syst. Appl., 2025)

Quantum federated learning with pole-angle quantum local training and trainable measurement. - Soohyun Park; Hyunsoo Lee; Seok Bin Son; Soyi Jung; Joongheon Kim (Neural Networks, 2025)

Hybrid quantum-classical 3D object detection using multi-channel quantum convolutional neural network. - Emily Jimin Roh; Joo Yong Shim; Joongheon Kim; Soohyun Park (J. Supercomput., 2025)

Toward Uniform Quantum Federated Aggregation: Heterogeneity Exclusion Using Entropy and Fidelity. - Seok Bin Son; Soohyun Park (IEEE Internet Things J., 2025)

Hallucination-Aware Generative Pretrained Transformer for Cooperative Aerial Mobility Control. - Hyojun Ahn; Seungcheol Oh; Gyu Seon Kim; Soyi Jung; Soohyun Park; Joongheon Kim (CoRR, 2025)

Dynamic Quantum Federated Learning for UAV-Based Autonomous Surveillance. - Soohyun Park; Seok Bin Son; Soyi Jung; Joongheon Kim (IEEE Trans. Veh. Technol., 2025)

Entanglement-Controlled Quantum Federated Learning. - Soohyun Park; Hyunsoo Lee; Soyi Jung; Jihong Park; Mehdi Bennis; Joongheon Kim (IEEE Internet Things J., 2025)

SQUAD: software testing for quantum distributed learning software. - Soohyun Park; Jae Hyun Cho; Hyun Jun Yook; Ga San Jhun; Youn Kyu Lee; Joongheon Kim (J. Supercomput., 2025)

Computation-efficient quantum convolutional neural networks for autonomous driving applications. - Emily Jimin Roh; Chaemoon Im; Wonjun Jeong; Soohyun Park (J. Supercomput., 2025)

Hierarchical Scheduling for Oil Spill SAR Image Detection in Space-Air-Ground Integrated Networks. - Seok Bin Son; Soohyun Park (IEEE Trans. Veh. Technol., 2025)

Quantum Reinforcement Learning for Lightweight LEO Satellite Routing. - Gyu Seon Kim; Sungjoon Lee; In-Sop Cho; Soohyun Park; Joongheon Kim (IEEE Internet Things J., 2025)

Auction-Based Trustworthy and Resilient Quantum Distributed Learning. - Hyunsoo Lee; Seok Bin Son; Samuel Yen-Chi Chen; Soohyun Park (IEEE Internet Things J., 2025)

Joint Quantum Reinforcement Learning and Neural Myerson Auction for High-Quality Digital-Twin Services in Multitier Networks. - Soohyun Park; Gyu Seon Kim; Joongheon Kim (IEEE Internet Things J., 2025)

Quantum-Eyes: Scalable Quantum Convolutional Neural Networks for Low-Overhead Object Detection [Research Frontier]. - Joongheon Kim; Emily Jimin Roh; Chaemoon Im; Soohyun Park (IEEE Comput. Intell. Mag., 2025)

Quantum Multiagent Reinforcement Learning for Joint Cube Satellites and High-Altitude Long-Endurance Aerial Vehicles in SAGIN. - Gyu Seon Kim; Yeryeong Cho; Soohyun Park; Soyi Jung; Joongheon Kim (IEEE Trans. Aerosp. Electron. Syst., 2025)