SELAB@HKNU

2025: LLaMA3 기반 이슈 템플릿 자동화 및 협업 도구 통합 기술 개발
2025: LLaMA3와 DevSecOps를 활용한 코드 보안 이슈 탐지 및 보고 시스템 개발
2025: LLaMA3와 MLOps를 활용한 Kubernetes Cluster 구축 및 리소스 모니터링 시스템 개발
2024-Current: Application of Small Large Language Models (sLLMs) and Multimodal Models (sLMMs) in Software Engineering
2024: Integration of Retrieval-Augmented Generation Models (RAG-sLLMs) for Context-Aware Software Solutions
2024: Utilization of Large Language Models (LLMs) for Streamlined Software Artifact Generation and Optimization
2024: Implementation of Resource-Efficient Small Language Models (SLMs) for Scalable Software Development
2024: Incorporation of Large Multimodal Models (LMMs) to Enhance Software Engineering Workflows

2023: Enhanced Automatic Program Repair with CodeBERT and Call Graph-Based Learning
2022: Advanced Bug Report Duplication Prediction Using Topic-Based Learning and Fine-Tuned BERT
2022: Developer-Centric Bug Triage with Feature Selection and a CNN-LSTM Approach
2022: Bug Severity Prediction Using Topic-Based Feature Selection and CNN-LSTM
2021: Improved Bug Localization Using Topic-Based Insights and CNN-LSTM on Similar Commits
2020: Effective Software Bug Repair with SeqGAN

2023: Neural Network Techniques for Analyzing Unstructured Medical Records and Disease Classification

2023: Emotion Prediction in Free Speech Using Multi-Modal Voice and Text Relevance Learning
2022: Voice Phishing Detection Using Deep Learning with Smishing and Anomaly Integration

2023: Hybrid Deepfake Detection and Creation Technologies with Global and Local Feature Analysis

Software Engineering (SELab)