Scholar
Duksan Ryu
Google Scholar ID: BHue-MMAAAAJ
Associate Prof. AI&SE Lab. SW Eng. JBNU
Citations & Impact
Citations
679
H-index
10
i10-index
10
Publications
20
Co-authors
5
list available
Contact
Publications
Resume (English only)
Background
- Associate Professor, Department of Software Engineering, Jeonbuk National University, South Korea
- Research focuses on the intersection of Artificial Intelligence and Software Engineering
- Primary interests include AI4SE (applying AI to improve software quality) and SE4AI (applying SE techniques to enhance AI-based systems)
- Specific research topics: mining software repositories, software defect prediction, bug report prediction, software reliability engineering, Web/Edge service QoS prediction, and fault localization
- In defect prediction, developed hyperparameter optimization methods, cross-project models for cold-start problems, heterogeneous models for mismatched feature dimensions, and novel cost-sensitive and boosting techniques for class imbalance
- Employs diverse ML/DL techniques including multi-output CNNs, GANs, Bayesian optimization, Explainable AI, AutoML, TabNet, self-supervised learning, deep domain adaptation, deep metric learning, and image translation
- Proposed a matrix factorization–based collaborative filtering method for Web service QoS prediction in cloud environments
