Hi, I am Zhuangbin Chen, currently an Assistant Professor at the School of Software Engineering, Sun Yat-sen University. I work on Software Engineering, Networking, and Cloud Computing. More specifically, I am interested in improving the reliability of online services and the troubleshooting process of data center networks. Prior to SYSU, I obtained a Ph.D. at the Computer Science and Engineering Department of The Chinese University of Hong Kong. I was privileged to work with Prof. Michael R. Lyu.
Updates
01/2023 We have three papers accepted by ICSE '23! Congrats to the authors!
01/2023 I will be joining the School of Software Engineering of Sun Yat-sen University.
07/2022 Our project LogPAI: An Open-Source Project for Automated Log Analysis won The First IEEE Open Software Services Award!
Research
Cloud System Reliability
- Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching [ICSE '22]
- Graph-based Incident Aggregation for Large-Scale Online Service Systems [ASE '21]
- Towards Intelligent Incident Management: Why We Need It and How We Make It [FSE '20]
Log Analysis
- Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection [arXiv preprint '21]
- A Survey on Automated Log Analysis for Reliability Engineering [CSUR '21]
- Characterizing the Natural Language Descriptions in Software Logging Statements [ASE '18]
More...
Selected Publications
2022
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An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, et al.
in SIGOPS '22, Operating System Review
[PDF] -
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, et al.
in ICSE '22
[PDF] [Code] [Official News]
2021
-
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, et al.
in ASE '21
[PDF] [Official News] -
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, and Michael R. Lyu
in arXiv preprint '21
[PDF] [Code] -
Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs
Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, and Michael R. Lyu
in TOSEM '21
[PDF] -
A Survey on Automated Log Analysis for Reliability Engineering
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, and Michael R. Lyu
in CSUR '21
[PDF]
2020
-
Towards Intelligent Incident Management: Why We Need It and How We Make It
Zhuangbin Chen, Yu Kang, Hongyu Zhang, et al.
in FSE '20
[PDF] -
AIOps Innovations of Incident Management for Cloud Services
Zhuangbin Chen, Yu Kang, et al.
in AAAI '20, Cloud Intelligence Workshop
[PDF]
2018
-
Characterizing the Natural Language Descriptions in Software Logging Statements
Pinjia He, Zhuangbin Chen, Shilin He, and Michael R. Lyu
in ASE '18
[PDF] [Dataset] -
Neural relational topic models for scientific article analysis
Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, and Zenglin Xu
in CIKM '18
[PDF] [Code]
Teaching
Cloud Computing Technology (SSE316云计算技术)
Undergraduates, School of Software Engineering, Sun Yat-sen University, Spring 2023
Academic Service
Awards
2022
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CUHK Excellent Teaching Assistantship (CSCI3100 Software Engineering)
2020
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Stars of Tomorrow (Award of Excellent Intern), Microsoft Research Asia