Welcome to Machine Learning Lab
Pioneering breakthrough discoveries in artificial intelligence, machine learning, and deep learning that revolutionize industries worldwide.
Welcome to Machine Learning Lab
Established in 2003 under the visionary leadership of Prof. Dr. Yung-Cheol Byun, our lab at Jeju National University pioneers breakthrough research in artificial intelligence, machine learning, and innovative technology solutions that transform industries and improve lives across the globe.
AI-Powered
Cutting-edge artificial intelligence and machine learning innovations driving the future
Comprehensive
Complete research ecosystem with publications, team insights, and breakthrough discoveries
Award-Winning
International recognition and excellence in research with cutting-edge innovations
Research Excellence
Discover our pioneering research in AI and machine learning that's shaping the future of technology
Lightweight Models for Edge Devices
Pioneering research in model compression, quantization, knowledge distillation, and optimization techniques to deploy efficient AI models on resource-constrained edge devices with minimal power consumption and maximum performance.
Machine Learning & AI
Advanced research in artificial intelligence, deep learning, and machine learning applications for real-world problems including renewable energy, transportation, and smart systems.
Computer Vision & Image Processing
Cutting-edge research in computer vision, medical image analysis, and CNN applications for object detection, classification, and segmentation tasks.
LLM & Generative AI Models
Advanced research in Large Language Models, generative AI, and transformer architectures for natural language processing, content generation, and conversational AI systems.
Featured Publications
Our latest research contributions published in top-tier journals and conferences
A hybrid deep learning framework for multivariate energy forecasting and peak load prediction in electric vehicle charging infrastructure
A hybrid deep learning framework for multivariate energy forecasting and peak load prediction in electric vehicle charging infrastructure.
A Robust Deep Learning Framework for Mitigating Label Noise With Dual Selective Attention
A robust deep learning framework (Dual Selective Attention Network - DSAN) proposed to improve robustness against mislabeled data in deep learning tasks.
A Lightweight multi-path convolutional neural network architecture using optimal features selection for multiclass classification of brain tumor using magnetic resonance images
This paper presents a novel lightweight multi-path convolutional neural network architecture specifically designed for brain tumor classification using MRI images. The proposed method incorporates optimal feature selection techniques to enhance classification accuracy while maintaining computational efficiency.
Lab Director
Leading cutting-edge research in artificial intelligence and machine learning at Jeju National University
Prof. Dr. Yung-Cheol Byun
Professor of Computer Engineering
Education
Ph.D. - Yonsei University (1995)
M.S. - Yonsei University (2001)
B.S. - Jeju National University (1993)
Research Interests
🚀 Ready to Collaborate?
Join us in pushing the boundaries of artificial intelligence and machine learning. Whether you're a researcher, student, or industry partner, we'd love to hear from you.