Hi, I am Zhuangbin Chen, currently an Assistant Professor at the School of Software Engineering, Sun Yat-sen University. I work on Software Engineering, Cloud Computing, and Datacenter Networking. 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
03/2024 One paper accepted by ISSTA '24! Congrats to the authors!
01/2023 One paper accepted by FSE '24! Congrats to the authors!
12/2023 One paper accepted by ICSE '24! Congrats to the authors!
08/2023 Two papers accepted by ASE '23! Congrats to the authors!
07/2023 One paper accepted by ISSRE '23! Congrats to the authors!
01/2023 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
- Prism: Revealing Hidden Functional Clusters of Massive Instances in Cloud Systems [ASE '23]
- Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion [ASE '23]
- 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 (* indicates correspondence)
2024
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[ISSTA '24] A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
Zhihan Jiang, Jinyang Liu, Junjie Huang, Yichen Li, Yintong Huo, Jiazhen Gu, Zhuangbin Chen*, et al.
[PDF] -
[FSE '24] LILAC: Log Parsing using LLMs with Adaptive Parsing Cache
Zhihan Jiang, Jinyang Liu, Zhuangbin Chen, et al.
[PDF] -
[ICSE '24] FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems
Junjie Huang, Jinyang Liu, Zhuangbin Chen, et al.
[PDF]
2023
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[ASE '23] Prism: Revealing Hidden Functional Clusters of Massive Instances in Cloud Systems
Jinyang Liu, Zhihan Jiang, Jiazhen Gu, Junjie Huang, Zhuangbin Chen*, et al.
[PDF] -
[ASE '23] Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion
Cheryl Lee, Tianyi Yang, Zhuangbin Chen*, Yuxin Su, Michael R. Lyu
[PDF] -
[ISSRE '23] Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
Jinyang Liu, Tianyi Yang, Zhuangbin Chen*, Yuxin Su, Cong Feng, Zengyin Yang, Michael R. Lyu
[PDF] -
[ICSE '23] Incident-Aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen, et al.
[PDF] -
[ICSE '23] Heterogeneous anomaly detection for software systems via semi-supervised cross-modal attention
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, Michael R. Lyu
[PDF] -
[ICSE '23] Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-Source Data
Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Michael R. Lyu
[PDF]
2022
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[SIGOPS OSR '22] An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection
Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, et al.
[PDF] -
[ICSE '22] Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, et al.
[PDF] [Code] [Official News]
2021
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[ASE '21] Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, et al.
[PDF] [Official News] -
[arXiv '21] Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, and Michael R. Lyu
[PDF] [Code] -
[TOSEM '21] 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
[PDF] -
[CSUR '21] A Survey on Automated Log Analysis for Reliability Engineering
Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, and Michael R. Lyu
[PDF]
2020
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[FSE '20] Towards Intelligent Incident Management: Why We Need It and How We Make It
Zhuangbin Chen, Yu Kang, Hongyu Zhang, et al.
[PDF] -
[AAAI-W '20] AIOps Innovations of Incident Management for Cloud Services
Zhuangbin Chen, Yu Kang, et al.
[PDF]
2018
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[ASE '18] Characterizing the Natural Language Descriptions in Software Logging Statements
Pinjia He, Zhuangbin Chen, Shilin He, and Michael R. Lyu
[PDF] [Dataset] -
[CIKM '18] Neural relational topic models for scientific article analysis
Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, and Zenglin Xu
[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