Scholar
Junjie Huang
Google Scholar ID: kZnvrCEAAAAJ
The Chinese University of Hong Kong
Citations & Impact
Citations
2,337
H-index
13
i10-index
21
Publications
20
Co-authors
22
list available
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers, including but not limited to: CodeAD: Synthesize Code of Rules for Log-based Anomaly Detection with LLMs (Under Review); iKnow: an Intent-Guided Chatbot for Cloud Operations with Retrieval-Augmented Generation (ASE 2025); No More Labelled Examples? An Unsupervised Log Parser with LLMs (FSE 2025), etc. Among them, iKnow won the ACM SIGSOFT Distinguished Paper Award.
Research Experience
- Engaged in AI for SE (Software Engineering) research, focusing on using data-driven and LLM-based methods to automate software engineering tasks such as code generation, log analysis, and incident management.
Education
- Received a Bachelor's degree from Beihang University in 2020 and a Master's degree from Beihang University in 2023. Currently, a third-year Ph.D. candidate at the Chinese University of Hong Kong, advised by Prof. Michael R. Lyu.
Background
- Mainly interested in the interface between software practitioners and AI, particularly in developing intelligent tools to assist software developers, software operators, and data scientists. These tools aim to reduce efforts and improve efficiency by leveraging the power of AI. Current research focuses on using data-driven and LLM-based approaches to automate software engineering tasks such as code generation, log analysis, and incident management.
Miscellany
- Personal motto: 'Focus on the roots, not just the fruits'.
