Ho-Youl Jung

Yeungnam University — South Korea

Computer Science · Physical Sciences

28h-index2.9kcitations159works0.32yr avg
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Research Topics

Neural Networks Stability and Synchronization(28), Stability and Control of Uncertain Systems(18), Video Surveillance and Tracking Methods(18), Advanced Data Compression Techniques(18), Autonomous Vehicle Technology and Safety(15)

Publications159 total

An Efficient Multi-Estimation-Based Parameter Centroid Decision Via Linear Regression Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence·2026
A Latency-Efficient Integration of Channel Attention for ConvNets
Computers, materials & continua/Computers, materials & continua (Print)·2025· 1 citedOpen Access
Retraction Note: An efficient quantum based D2D computation and communication approach for the internet of things
Optical and Quantum Electronics·2024Open Access
Predicting Significant Blood Marker Values for Pressure Ulcer Forecasting Utilizing Feature Minimization and Selection
Journal of KIISE·2023
Sample Pose Augmentation and Adaptive Weight-Based Refinement for 3-D LiDAR-Camera Extrinsic Calibration Using an Orthogonal Trihedron
IEEE Transactions on Instrumentation and Measurement·2023· 5 cited
ASXC$^{2}$ Approach: A Service-X Cost Optimization Strategy Based on Edge Orchestration for IIoT
IEEE Transactions on Industrial Informatics·2023· 3 citedOpen Access
A Quantum-Inspired Sensor Consolidation Measurement Approach for Cyber-Physical Systems
IEEE Transactions on Network Science and Engineering·2023· 5 citedOpen Access
3D Harmonic Loss: Towards Task-Consistent and Time-Friendly 3D Object Detection on Edge for V2X Orchestration
IEEE Transactions on Vehicular Technology·2023· 6 citedOpen Access
A Deep Learning Approach for Predicting Pressure Ulcers from Time-Series Electronic Medical Records
KIISE Transactions on Computing Practices·2023
Efficient LiDAR-Trajectory Affinity Model for Autonomous Vehicle Orchestration
IEEE Transactions on Intelligent Transportation Systems·2023· 20 citedOpen Access
Quantum-based Offloading Strategy for Intelligent Vehicle Network
2023· 1 cited
A Service Consolidation Approach for Edge-Vehicle Network using Multi-agent Decision-making Method
2023· 1 cited
3D Harmonic Loss: Towards Task-consistent and Time-friendly 3D Object Detection on Edge for V2X Orchestration
arXiv (Cornell University)·2022Open Access
An effective communication and computation model based on a hybridgraph-deeplearning approach for SIoT
Digital Communications and Networks·2022· 8 citedOpen Access
RETRACTED ARTICLE: An efficient quantum based D2D computation and communication approach for the Internet of Things
Optical and Quantum Electronics·2022· 5 cited
Fuzzy Active Learning to Detect OpenCL Kernel Heterogeneous Machines in Cyber Physical Systems
IEEE Transactions on Fuzzy Systems·2022· 7 cited
SSNO: Spatio-Spectral Neural Operator for Functional Space Learning of Partial Differential Equations
IEEE Access·2022· 13 citedOpen Access
Deep Learning Inspired Object Consolidation Approaches Using LiDAR Data for Autonomous Driving: A Review
Archives of Computational Methods in Engineering·2021· 23 cited
A DRL based 4-r Computation Model for Object Detection on RSU using LiDAR in IloT
2021 IEEE Symposium Series on Computational Intelligence (SSCI)·2021· 5 cited
An Efficient Quantum based D2D Computation and Communication Approach for the Internet of Things
2021Open Access
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Frequent Co-authors

Ju H. Park(29), S. Lakshmanan(8), Tae-Hee Lee(7), Hyun-Koo Kim(7), R. Prost(6), R. Rakkiyappan(4), Sangmoon Lee(4), G. Arthi(3), O’Dae Kwon(3), D.H. Ji(3), Minsu Kim(3), Kook-Yeol Yoo(3), Jae-Won Cho(2), Yanling Wei(2), Myeongjin Park(2), P. Balasubramaniam(2), Sébastien Valette(2), Hwan-Gue Cho(2), M. S. Mekala(2), Gaurav Dhiman(2)