About
Shaohan Huang is a researcher at Beihang University, China, actively contributing to top software engineering conferences including ASE and SANER with innovative work in log analysis and anomaly detection.
His research focuses on the integration of artificial intelligence with software engineering, particularly in log analysis and anomaly detection. Key interests include:
- Lightweight expert mixture models for cross-system log anomaly detection (LogMoE)
- Guiding large language models to interpret system logs for question answering (GLOSS)
- Applications in software reliability and maintenance
His work demonstrates a strong emphasis on practical solutions for log-based software analysis, combining machine learning and natural language processing techniques to enhance DevOps workflows and system reliability.
No scientific awards were mentioned in the available sources.
Information regarding student advising, research grants, and laboratory affiliations is not provided in the current data.
Find Shaohan Huang elsewhere
Related Searches
You Might Also Like
Yifan WuMax Planck Institute for Security and Privacy · Researcher
Michael LyuMax Planck Institute for Security and Privacy · Professor
Kundi YaoMax Planck Institute for Security and Privacy · Research Fellow
Tse-Hsun ChenMax Planck Institute for Security and Privacy · Associate Professor
Max HortMax Planck Institute for Security and Privacy · Researcher
Rrezarta KrasniqiMax Planck Institute for Security and Privacy · Assistant Professor