Welcome! I’m Junjie HUANG, a first-year Ph.D. student at the Chinese University of Hong Kong, advised by Prof. Michael R. Lyu. Previously, I received my Bachelor’s degree in 2020 and Master’s degree in 2023 from Beihang University.

I am curious about the interface between software practitioners and AI. My interest mainly lies in developing intelligent tools that can assist various software practitioners, including software developers, software operators, and data scientists. These tools aim to reduce efforts and improve efficiency by leveraging the power of AI.

Currently, my research focuses on AIOps, which involves using data-driven approaches and AI to automate IT operation tasks such as log analysis and incident management.

📝 Selected Publications

(^* indicates equal contribution)

AIOps

FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems (ICSE-SEIP 2024)
Junjie Huang, Jinyang Liu, Zhuangbin Chen, Zhihan Jiang, Yichen Li, Jiazhen Gu, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R Lyu
[paper]
Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach (ICSE-SEIP 2024)
Jinxi Kuang, Jinyang Liu, Junjie Huang, Renyi Zhong, Jiazhen Gu, Lan Yu, Rui Tan, Zengyin Yang, Michael R Lyu
[paper]
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We? (ISSTA 2024)
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen, Jieming Zhu, Michael R Lyu
[code] [paper]
LILAC: Log Parsing using LLMs with Adaptive Parsing Cache (FSE 2024)
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, Yichen Li, Junjie Huang, Yintong Huo, Pinjia He, Jiazhen Gu, Michael R Lyu
[code] [paper]
Go Static: Contextualized Logging Statement Generation (FSE 2024)
Yichen Li, Yintong Huo, Renyi Zhong, Zhihan Jiang, Jinyang Liu, Junjie Huang, Jiazhen Gu, Pinjia He, Michael R Lyu
[code] [paper]
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems (ASE 2023)
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen, Cong Feng, Zengyin Yang, Yongqiang Yang, Michael R Lyu
[code] [paper]

Code Intelligence

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation (NeurIPS 2021)
Shuai Lu^*, Daya Guo^*, Shuo Ren^*, Junjie Huang^*, Alexey Svyatkovskiy, Ambrosio Blanco, Colin Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu
[code] [paper]
CoSQA: 20,000+ Web Queries for Code Search and Question Answering (ACL 2021)
Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan
[data] [code] [paper]
Execution-based Evaluation for Data Science Code Generation Models (EMNLP 2022 DaSH)
Junjie Huang, Chenglong Wang, Jipeng Zhang, Cong Yan, Haotian Cui, Jeevana Priya Inala, Colin Clement, Nan Duan, Jianfeng Gao
[code] [paper]
CodeExp: Explanatory Code Document Generation (EMNLP 2022 Findings)
Haotian Cui, Chenglong Wang, Junjie Huang, Jeevana Priya Inala, Todd Mytkowicz, Bo Wang, Jianfeng Gao, Nan Duan
[code] [paper]

🏃 Experiences

2020.06 - 2022.06: Research Intern, Microsoft Research Asia, Mentor: Dr. Nan Duan.
2020.05 - 2021.06: Research Intern, Microsoft Research Asia, Mentor: Dr. Duyu Tang.
2018.09 - 2020.04: Research Assistant, NLP@Tsinghua University, Advisor: Prof. Zhiyuan Liu.

🎖 Honors and Awards

2020-2021 National Scholarship, Ministry of Education of the P.R. China.
2017-2018 National Scholarship, Ministry of Education of the P.R. China.
2019 Yuanhang Scholarship, Beihang University

💻 Activities

📞 Contact

Please feel free to contact me via my email (left) if you are interested in our papers, my experience, or you just have any problem on research which I may help.

Junjie Huang