个人简介

陈壮彬，助理教授，硕士生导师，中国计算机学会（CCF）服务计算专委会执行委员。2023年1月入选565net必赢客户端百人计划，加入565net必赢客户端。2018年至2022年，于香港中文大学计算机科学与工程系攻读博士学位，师从ACM/IEEE/AAAS Fellow吕荣聪（Michael R. Lyu）教授。

个人主页：https://zbchern.github.io/ 
邮箱：chenzhb36 [at] mail.sysu.edu.cn

 

研究方向

主攻研究领域为大型智能软件系统，包括云计算、机器学习、软件可靠性、智能运维、数据中心网络等方面。近年来，在ICSE、FSE、ASE、DSN、CIKM、ACM Computing Surveys、Information Sciences等软件工程、数据挖掘、计算机网络领域的CCF A类顶级会议和期刊发表论文20余篇。

 

研究与招生

每年招收1至3名推免或统考的硕士研究生。招生研究方向包括但不限于分布式系统（Distributed Systems）、云计算（Cloud Computing）、智能运维（Artificial Intelligence for IT Operations, AIOps）、无服务计算（Serverless Computing）、机器学习（Machine Learning）。

本人长期与香港中文大学吕荣聪教授保持密切合作，组内同学们将有多样化的国内外学术交流与访问机会。此外，课题组将积极为表现优异的本科生和硕士生牵线国内外顶级互联网公司的实习及工作内推机会。欢迎对以上研究方向感兴趣的同学随时与我沟通！同时，我们欢迎立志于学术事业，渴望早期参与科研项目并发表高质量论文的大二、大三本科同学加入我们的课题组。

 

组内学生

  • 邓芷灵（2023级硕士）：深圳华为云实习
  • 王爵鹏（2023级硕士）：深圳招联金融实习
  • 冯洪江（2024级硕士）
  • 郑居正（2024级硕士）
  • 陈智翔（2024级博士）

 

开源项目

 

教学

  • SSE316，云计算技术（Cloud Computing Technology），本科专业选修课
  • SSE315，计算机图形学（Computer Graphics），本科专业选修课

 

学术服务

审稿人 Reviewer：ICSE（CCF-A类），FSE（CCF-A类），ASE（CCF-A类），DSN（CCF-B类），NeurIPS（CCF-A类），WWW（CCF-A类），WSDM（CCF-B类）

 

主要科研项目

2025 - 2027：国家自然科学基金青年项目，主持

2024 – 2025：中大-华为云校企合作项目，主持

2024 – 2025：中大-数字广东校企合作项目，主持

2025 - 2028：国家自然科学基金面上项目，参与

 

主要学术成果（详见个人主页）

  • Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng. TraceMesh: Scalable and Streaming Sampling for Distributed Traces. IEEE International Conference on Cloud Computing (CLOUD), 2024. (最佳论文奖)
  • Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, and Michael R. Lyu. Incident-aware Duplicate Ticket Aggregation for Cloud Systems. IEEE/ACM International Conference on Software Engineering (ICSE), 2023.
  • Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, and Michael R. Lyu. Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data. IEEE/ACM International Conference on Software Engineering (ICSE), 2023.
  • Cheryl Lee, Tianyi Yang, Zhuangbin Chen, Yuxin Su, Yongqiang Yang, and Michael R. Lyu. Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention. IEEE/ACM International Conference on Software Engineering (ICSE), 2023.
  • Shilin He, Pinjia He, Zhuangbin Chen, Tianyi Yang, Yuxin Su, and Michael R. Lyu. A Survey on Automated Log Analysis for Reliability Engineering. ACM Computing Surveys (CSUR), 2022.
  • Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, and Michael R. Lyu. An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Operating Systems Review (OSR), 2022.
  • Hui Xu, Zhuangbin Chen, Mingshen Sun, Yangfan Zhou, and Michael R. Lyu. Memory-Safety Challenge Considered Solved? An In-Depth Study with All Rust CVEs. ACM Transactions on Software Engineering and Methodology (TOSEM), 2022.
  • Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xiao Ling, and Michael R. Lyu. Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching. IEEE/ACM International Conference on Software Engineering (ICSE), 2022.
  • Zhuangbin Chen, Jinyang Liu, Yuxin Su, Hongyu Zhang, Xuemin Wen, Xiao Ling, Yongqiang Yang, and Michael R. Lyu. Graph-based Incident Aggregation for Large-Scale Online Service Systems. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2021.
  • Zhuangbin Chen, Jinyang Liu, Wenwei Gu, Yuxin Su, and Michael R. Lyu. Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection. CoRR abs/2107.05908 (2021)
  • Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, and Michael R. Lyu. Towards intelligent incident management: why we need it and how we make it. The ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering (ESEC/FSE), 2020.
  • Zhuangbin Chen, Yu Kang, Feng Gao, Li Yang, Jeffrey Sun, Zhangwei Xu, Pu Zhao, Bo Qiao, Liqun Li, Xu Zhang, Qingwei Lin, and Michael R. Lyu. AIOps Innovations of Incident Management for Cloud Services. Association for the Advancement of Artificial Intelligence (AAAI), Cloud Intelligence Workshop, 2020.
  • Hui Xu, Zhuangbin Chen, Weibin Wu, Zhi Jin, Sy-Yen Kuo, and Michael R. Lyu. NV-DNN: Towards Fault-Tolerant DNN Systems with N-Version Programming. Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2019.
  • Haoli Bai, Zhuangbin Chen, Michael R. Lyu, Irwin King, and Zenglin Xu. Neural Relational Topic Models for Scientific Article Analysis. ACM International Conference on Information and Knowledge Management (CIKM), 2018.
  • Pinjia He, Zhuangbin Chen, Shilin He, and Michael R. Lyu. Characterizing the natural language descriptions in software logging statements. IEEE/ACM International Conference on Automated Software Engineering (ASE), 2018.