個人簡介

陳壯彬，助理教授，碩士生導(dǎo)師，中國計算機學(xué)會（CCF）服務(wù)計算專委會執(zhí)行委員。2023年1月入選必贏3003no1線路檢測中心百人計劃，加入必贏3003no1線路檢測中心。2018年至2022年，于香港中文大學(xué)計算機科學(xué)與工程系攻讀博士學(xué)位，師從ACM/IEEE/AAAS Fellow呂榮聰（Michael R. Lyu）教授。

個人主頁：https://zbchern.github.io/ 
郵箱：chenzhb36 [at] mail.sysu.edu.cn

 

研究方向

主攻研究領(lǐng)域為大型智能軟件系統(tǒng)，包括云計算、機器學(xué)習(xí)、軟件可靠性、智能運維、數(shù)據(jù)中心網(wǎng)絡(luò)等方面。近年來，在ICSE、FSE、ASE、DSN、CIKM、ACM Computing Surveys、Information Sciences等軟件工程、數(shù)據(jù)挖掘、計算機網(wǎng)絡(luò)領(lǐng)域的CCF A類頂級會議和期刊發(fā)表論文20余篇。

 

研究與招生

每年招收1至3名推免或統(tǒng)考的碩士研究生。招生研究方向包括但不限于分布式系統(tǒng)（Distributed Systems）、云計算（Cloud Computing）、智能運維（Artificial Intelligence for IT Operations, AIOps）、無服務(wù)計算（Serverless Computing）、機器學(xué)習(xí)（Machine Learning）。

本人長期與香港中文大學(xué)呂榮聰教授保持密切合作，組內(nèi)同學(xué)們將有多樣化的國內(nèi)外學(xué)術(shù)交流與訪問機會。此外，課題組將積極為表現(xiàn)優(yōu)異的本科生和碩士生牽線國內(nèi)外頂級互聯(lián)網(wǎng)公司的實習(xí)及工作內(nèi)推機會。歡迎對以上研究方向感興趣的同學(xué)隨時與我溝通！同時，我們歡迎立志于學(xué)術(shù)事業(yè)，渴望早期參與科研項目并發(fā)表高質(zhì)量論文的大二、大三本科同學(xué)加入我們的課題組。

 

組內(nèi)學(xué)生

  • 鄧芷靈（2023級碩士）：深圳華為云實習(xí)
  • 王爵鵬（2023級碩士）：深圳招聯(lián)金融實習(xí)
  • 馮洪江（2024級碩士）
  • 鄭居正（2024級碩士）
  • 陳智翔（2024級博士）

 

開源項目

 

教學(xué)

  • SSE316，云計算技術(shù)（Cloud Computing Technology），本科專業(yè)選修課
  • SSE315，計算機圖形學(xué)（Computer Graphics），本科專業(yè)選修課

 

學(xué)術(shù)服務(wù)

審稿人 Reviewer：ICSE（CCF-A類），F(xiàn)SE（CCF-A類），ASE（CCF-A類），DSN（CCF-B類），NeurIPS（CCF-A類），WWW（CCF-A類），WSDM（CCF-B類）

 

主要科研項目

2025 - 2027：國家自然科學(xué)基金青年項目，主持

2024 – 2025：中大-華為云校企合作項目，主持

2024 – 2025：中大-數(shù)字廣東校企合作項目，主持

2025 - 2028：國家自然科學(xué)基金面上項目，參與

 

主要學(xué)術(shù)成果（詳見個人主頁）

  • 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. (最佳論文獎)
  • 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.