Won Joon Yun

Hebei North University — China

Computer Science · Physical Sciences

18h-index1.2kcitations88works0.02yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Quantum Computing Algorithms and Architecture(24), Quantum Information and Cryptography(16), UAV Applications and Optimization(16), Neural Networks and Reservoir Computing(11), Distributed Control Multi-Agent Systems(9)

Publications88 total

Correction: Tumor organoids may be more suitable for clinical personalized chemotherapeutic drug screening in lung adenocarcinoma
Frontiers in Cell and Developmental Biology·2025Open Access
Tumor organoids may be more suitable for clinical personalized chemotherapeutic drug screening in lung adenocarcinoma
Frontiers in Cell and Developmental Biology·2025Open Access
[Application and Progress of Organoid-on-a-chip Platforms 
in Lung Cancer Diagnosis and Therapy].
PubMed·2025Open Access
DPO-ESRGAN: Perceptually Enhanced Super-Resolution Using Direct Preference Optimization
Electronics·2025Open Access
Advances in large-area membrane drag sail technology for standardized application on launch vehicle upper stages
Aerospace Science and Technology·2025Open Access
Advances in Large-Area Membrane Drag Sail Technology for Standardized Application on Launch Vehicle Upper Stages
SSRN Electronic Journal·2025Open Access
Space Debris Mitigation Measures and Applications of Launch Vehicle Separation Bodies in Orbit
2024
Joint Delay-Sensitive and Power-Efficient Quality Control of Dynamic Video Streaming Using Adaptive Super-Resolution
IEEE Transactions on Green Communications and Networking·2023· 10 cited
WITHDRAWN: Software simulation and visualization of quantum multi-drone reinforcement learning
ICT Express·2023Open Access
Joint User Clustering, Beamforming, and Power Allocation for mmWave-NOMA With Imperfect SIC
IEEE Transactions on Wireless Communications·2023· 24 cited
Semantic Communications and Networking
Signals and communication technology·2023
Poster: Coordinated Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Swarms in Autonomous Mobile Access Applications
2023· 1 cited
Multi-Site Clinical Federated Learning Using Recursive and Attentive Models and NVFlare
2023· 3 cited
Demo: EQuaTE: Efficient Quantum Train Engine Design and Demonstration for Dynamic Software Analysis
2023· 4 cited
Stereoscopic scalable quantum convolutional neural networks
Neural Networks·2023· 34 cited
Multi-Site Clinical Federated Learning using Recursive and Attentive Models and NVFlare
arXiv (Cornell University)·2023Open Access
FV-Train: Quantum Convolutional Neural Network Training with a Finite Number of Qubits by Extracting Diverse Features (Student Abstract)
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 4 citedOpen Access
Quantum Multi-Agent Meta Reinforcement Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2023· 36 citedOpen Access
Quantum Multiagent Actor–Critic Networks for Cooperative Mobile Access in Multi-UAV Systems
IEEE Internet of Things Journal·2023· 55 cited
Deep reinforcement learning-based propofol infusion control for anesthesia: A feasibility study with a 3000-subject dataset
Computers in Biology and Medicine·2023· 14 cited
page 1 of 5Next →

Frequent Co-authors

Joongheon Kim(39), Soyi Jung(31), Jihong Park(10), Joongheon Kim(10), Hankyul Baek(10), Soohyun Park(8), Jae‐Hyun Kim(8), Yunseok Kwak(8), Mehdi Bennis(7), MyungJae Shin(6), Jae Pyoung Kim(5), Aziz Mohaisen(4), Minseok Choi(4), Byungju Lim(4), Young‐Chai Ko(4), Youn Kyu Lee(4), Chanyoung Park(3), Jong‐Kook Kim(3), Mingyue Ji(3), Hyunhee Cho(2)