软件学院-张圣林导师介绍
张圣林
副教授
硕，博士生导师
男
软件学院
软件工程
机器学习,服务计算,智能运维
zhangsl@nankai.edu.cn
张圣林现为南开大学软件学院副教授，副院长，博士生、硕士生导师，先进计算与关键软件（信创）海河实验室双聘研究员。主要研究方向为基于机器学习的智能运维，包括异常检测、故障定位、根因分析和故障预测等。以第一或通讯作者在CCF A/B类会议或期刊发表论文40余篇。谷歌学术被引2300余次。申请国内发明专利24项，其中6项已授权。主持国家自然科学基金项目2项， 中国博士后科学基金项目1项，横向项目20余项（与华为、字节跳动、网商银行、中兴等合作）。获中国电子学会科技进步一等奖（第3完成人）、ISSRE（CCF B） 2024/2023/2018最佳论文奖、清华大学优秀博士学位论文、南开大学第九届“良师益友”称号、华为计算产品线“最佳技术合作教授”、麒麟软件“校企合作突出贡献”奖、天津市科技进步一等奖，入选南开大学“百青计划”，天津市“131”创新型人才培养工程（第三层次）。指导的研究生获得南开大学优秀硕士学位论文1项，南开大学研究生优秀毕业生1项。
于2017年获清华大学工学博士学位（计算机科学与技术专业），2012年获西安电子科技大学工学学士学位（网络工程专业）。在攻读博士学位期间，曾经赴佐治亚理工学院学习。 于2014-2017年在百度运维部实习， 并于2018-2019年在阿里巴巴从事访问学者研究。
担任中国计算机学会（CCF）A/B类国际会议程序委员会委员16次，CCF高级会员，CCF青年计算机科技论坛（YOCSEF）天津学术委员会副主席（2023-2024），CCF互联网专委常务委员，CCF软件工程专委、服务计算专委执行委员。以执行主席身份在CNCC、CCF中国网络大会、CCF中国数字服务大会组织技术论坛多次，并因此获CCF 2023中国数字服务大会“最佳论坛组织奖”。获得IEEE Outstanding Leadership Award。主编CCF数图焦点文章《智能运维技术》；参与编撰CCF计算机科学前沿丛书《互联网技术十讲》和《中国计算机科技发展报告（2019-2020）》。此外，与清华大学裴丹教授共同发起、并担任首届和第六届技术委员会主席的CCF国际AIOps挑战赛已连续成功举办七届，成为CCF互联网专委会三大年度活动之一，累积1325支队伍参赛，超过10万人次线上或线下参与，促进了我国智能运维的人才培养与技术发展。此外，与清华大学裴丹教授共同发起了CCF OpenAIOps社区，致力于通过开放的社区合作与群体智慧实现协同创新。
课题组现在与中国移动、华为、阿里巴巴、腾讯、字节跳动、中兴、百度、蚂蚁金服、虎牙、云账户、CERNET等国内一流IT公司建立了合作关系，分析IT运维数据的规律，实现智能化运维。课题组欢迎更多优秀的博士研究生、硕士研究生、本科生加入，共同解决世界级的运维难题，提高数百万用户的使用体验！
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科研项目
1. 面向多模态数据的大规模云平台故障诊断机制研究，国家自然科学基金面上项目，2023.1-2026.12
2. 面向多语法语义日志的数据中心网络设备异常检测机制研究，国家自然科学基金青年基金项目，2020.1-2022.12
3. 基于日志的数据中心网络设备异常检测机制研究，中国博士后科学基金面上项目，2019.6-2021.5
4. AI集群光链路预测性智能运维技术合作项目，华为公司合作项目
5. 故障Agent知识理解及应用技术合作项目，华为公司合作项目
6. 面向Serverless基础设施单机稳定性的智能异常诊断与根因分析的研究与实践，阿里巴巴合作项目
7. AIOps算法技术研究与场景应用，字节跳动合作项目
8. 大规模分布式系统的亚健康检测与定位技术合作项目，华为云合作项目
9. 多模态数据的故障识别与根因定位项目，华为公司合作项目
10. 面向云原生系统故障的智能诊断，中兴公司合作项目
11. 基于知识图谱的多态失败日志根因定位机制，CCF-华为胡杨林基金（软件工程专项）
12. 面向大规模数据中心的网络故障诊断与自愈研究，CCF-腾讯犀牛鸟创意基金项目
13. 云原生环境可观测性-系统隐患发现与故障树构建技术研究合作项目，华为公司合作项目
14. 集群通信故障诊断技术研究项目，华为公司合作项目
15. 基于图推理的分布式系统故障定位技术研究，网商银行合作项目
16. 面向数据中心网络设备的智能异常检测，中兴公司合作项目
17. OS故障诊断项目，华为公司合作项目
18. 智能变更评估技术合作项目，华为公司合作项目
19. 面向机器整体异常的无监督机器聚类和多KPI异常检测模型，字节跳动合作项目
20. 下一代互联网交换机故障预测机制研究，赛尔网络下一代互联网技术创新项目
21. 基于日志的数据中心交换机故障预测机制研究，中央高校基本科研业务费专项资金资助项目
22. AI运维联合创新技术项目，百度公司合作项目
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研究成果
发表论文：
2025
1. Lei Tao, Minghua Ma, Shenglin Zhang*, Junhua Kuang, Xiao-Wei Guo, Canqun Yang, Dan Pei. Real-Time Anomaly Detection for Large-Scale Network Devices. IEEE/ACM Transactions on Networking (ToN), 2025 (CCF A)
2. Shenglin Zhang, Sibo Xia, Wenzhao Fan, Binpeng Shi, Xiao Xiong, Zhenyu Zhong, Minghua Ma, Yongqian Sun*, Dan Pei. Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis. ACM Transactions on Software Engineering and Methodology (TOSEM), 2025 (CCF A)
3. Yongqian Sun, Jiaju Wang, Zhengdan Li, Xiaohui Nie, Minghua Ma, Shenglin Zhang*, Yuhe Ji, Lu Zhang, Wen Long, Yongnan Luo, Hengmao Chen, Dan Pei. AIOpsArena: Scenario-Oriented Evaluation and Leaderboard for AIOps Algorithms in Microservices. IEEE Software Analysis, Evolution and Reengineering (SANER), 2025 (CCF-B)
2024
1. Shenglin Zhang, Ting Xu, Jun Zhu, Yongqian Sun*, Pengxiang Jin, Binpeng Shi, Dan Pei. Privacy-preserving MTS anomaly detection for network devices through federated learning[J]. Information Sciences (CCF B, JCR Q1 & CAS Tier 1-Top, IF: 8.1), 2024: 121590 .
2. Yongqian Sun, Minghan Liang, Shenglin Zhang*, Zeyu Che, Zhiyao Luo, Dongwen Li, Yuzhi Zhang, Dan Pei, Lemeng Pan, and Liping Hou. Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Software Systems. ACM Transactions on Software Engineering and Methodology (TOSEM), 2024 (CCF A) .
3. Shenglin Zhang, Yongxin Zhao, Sibo Xia, Shirui Wei, Yongqian Sun*, Chenyu Zhao, Shiyu Ma, Junhua Kuang, Bolin Zhu, Lemeng Pan, Yicheng Guo, Dan Pei. No More Data Silos: UnifiedMicroservice Failure Diagnosis with Temporal Knowledge Graph. IEEE Transactions on Services Computing (TSC), 2024 , 17(6):4013-4026 (CCF A) .
4. Yongqian Sun, Zihan Lin, Binpeng Shi, Shenglin Zhang*, Shiyu Ma, Pengxiang Jin, Zhenyu Zhong, Lemeng Pan, Yicheng Guo, Dan Pei. Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder. ACM Transactions on Software Engineering and Methodology (TOSEM), , 2024 , 34(2):1-28 (CCF A) .
5. Yuan Yuan*, Tongqing Zhou*, Xiuhong Tan, Yongqian Sun, Yuqi Li, Zhixing Li, Zhiping Cai, and Tiejun Li. Exploring Hierarchical Patterns for Alert Aggregation in Supercomputers. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (Best Paper Award, CCF B) .
6. Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang*, Hongbo Li, Kaixu Xia, and Dan Pei. Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (CCF B) .
7. Shenglin Zhang, Zeyu Che, Zhongjie Pan, Xiaohui Nie, Yongqian Sun*, Lemeng Pan, Dan Pei. LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (CCF B) .
8. Shenglin Zhang, Xiao Xiong, Mengyao Li, Yongqian Sun*, Yongxin Zhao, Xia Chen, Bowen Deng and Dan Pei. Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (Best Industry Paper Award, CCF B) .
9. Shenglin Zhang, Pengtian Zhu, Minghua Ma, Jiagang Wang, Yongqian Sun*, Dongwen Li, Jingyu Wang, Qianying Guo, Xiaolei Hua, Lin Zhu, Dan Pei. Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A model Based on Large Language Models. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (CCF B) .
10. Yongqian Sun, Binpeng Shi, Mingyu Mao, Minghua Ma, Sibo Xia, Shenglin Zhang*, Dan Pei. ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems. 2024 IEEE/ACM Automated Software Engineering Conference (ASE), Sacramento, California, United States, October 27 – November 1, 2024 (CCF A) .
11. Lei Tao, Shenglin Zhang, Zedong Jia, Jinrui Sun, Minghua Ma, Zhengdan Li*, Yongqian Sun, Canqun Yang, Yuzhi Zhang, Dan Pei. Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization. 2024 IEEE/ACM Automated Software Engineering Conference (ASE), Sacramento, California, United States, October 27 – November 1, 2024 (CCF A).
12. Shenglin Zhang, Yuhe Ji, Jiaqi Luan, Xiaohui Nie, Zi`ang Chen, Minghua Ma, Yongqian Sun*, Dan Pei. End-to-End AutoML for Unsupervised Log Anomaly Detection. 2024 IEEE/ACM Automated Software Engineering Conference (ASE), Sacramento, California, United States, October 27 – November 1, 2024 (CCF A) .
13. Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei. Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Barcelona, Spain, August 2024 (CCF A) .
14. Lei Tao, Xianglin Lu, Shenglin Zhang*, Jiaqi Luan, Yingke Li, Mingjie Li, Zeyan Li, Qingyang Yu, Hucheng Xie, Ruijie Xu, Chenyuan Hu, Canqun Yang, Dan Pei. Diagnosing Performance Issues for Large-Scale Microservice Systems with Heterogeneous Graph. IEEE Transactions on Services Computing, 2024, 17(5):2223-2235 (CCF A) .
15. Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun*, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei. Fault Diagnosis for Test Alarms in Microservices Through Multi-source Data. ACM International Conference on the Foundations of Software Engineering (FSE), Industry Track. Porto de Galinhas, Brazil, July 15-19, 2024 (CCF A) .
16. Shenglin Zhang, Yongxin Zhao, Xiao Xiong, Yongqian Sun*, Xiaohui Nie, Jiacheng Zhang, Fenglai Wang, Xian Zheng, Yuzhi Zhang, Dan Pei. Illuminating the Gray Zone: Non-Intrusive Gray Failure Localization in Server Operating Systems. ACM International Conference on the Foundations of Software Engineering (FSE), Industry Track. Porto de Galinhas, Brazil, July 15-19, 2024 (CCF A).
17. Sibo Xia, Minghua Ma, Pengxiang Jin, Liyue Cui, Shenglin Zhang*, Wa Jin, Yongqian Sun, Dan Pei. Response Time Anomaly Diagnosis for Search Service[J]. Journal of Computer Research and Development, 2024, 61(6): 1573-1584 (in Chinese).
18. Zhaoyang Yu#, Shenglin Zhang#, Mingze Sun, Li Yingke, Zhaoyankai, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei*. Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.The Web Conference 2024. Singapore, May 13 – 17, 2024 (CCF A).
2023
1. Shenglin Zhang, Ting Xu, Jun Zhu, Yongqian Sun*, Pengxiang Jin, Binpeng Shi, Dan Pei. Privacy-preserving MTS anomaly detection for network devices through federated learning[J]. Information Sciences (CCF B, JCR Q1 & CAS Tier 1-Top, IF: 8.1), 2024: 121590 .
2. Yongqian Sun, Minghan Liang, Shenglin Zhang*, Zeyu Che, Zhiyao Luo, Dongwen Li, Yuzhi Zhang, Dan Pei, Lemeng Pan, and Liping Hou. Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Software Systems. ACM Transactions on Software Engineering and Methodology (TOSEM), 2024 (CCF A) .
3. Shenglin Zhang, Yongxin Zhao, Sibo Xia, Shirui Wei, Yongqian Sun*, Chenyu Zhao, Shiyu Ma, Junhua Kuang, Bolin Zhu, Lemeng Pan, Yicheng Guo, Dan Pei. No More Data Silos: UnifiedMicroservice Failure Diagnosis with Temporal Knowledge Graph. IEEE Transactions on Services Computing (TSC), 2024 , 17(6):4013-4026 (CCF A) .
4. Yongqian Sun, Zihan Lin, Binpeng Shi, Shenglin Zhang*, Shiyu Ma, Pengxiang Jin, Zhenyu Zhong, Lemeng Pan, Yicheng Guo, Dan Pei. Interpretable Failure Localization for Microservice Systems Based on Graph Autoencoder. ACM Transactions on Software Engineering and Methodology (TOSEM), , 2024 , 34(2):1-28 (CCF A) .
5. Yuan Yuan*, Tongqing Zhou*, Xiuhong Tan, Yongqian Sun, Yuqi Li, Zhixing Li, Zhiping Cai, and Tiejun Li. Exploring Hierarchical Patterns for Alert Aggregation in Supercomputers. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (Best Paper Award, CCF B) .
6. Yongqian Sun, Yang Guo, Minghan Liang, Xidao Wen, Junhua Kuang, Shenglin Zhang*, Hongbo Li, Kaixu Xia, and Dan Pei. Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (CCF B) .
7. Shenglin Zhang, Zeyu Che, Zhongjie Pan, Xiaohui Nie, Yongqian Sun*, Lemeng Pan, Dan Pei. LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (CCF B) .
8. Shenglin Zhang, Xiao Xiong, Mengyao Li, Yongqian Sun*, Yongxin Zhao, Xia Chen, Bowen Deng and Dan Pei. Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (Best Industry Paper Award, CCF B) .
9. Shenglin Zhang, Pengtian Zhu, Minghua Ma, Jiagang Wang, Yongqian Sun*, Dongwen Li, Jingyu Wang, Qianying Guo, Xiaolei Hua, Lin Zhu, Dan Pei. Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A model Based on Large Language Models. 2024 International Symposium on Software Reliability Engineering (ISSRE), Tsukuba, Japan, October 28-31, 2024 (CCF B) .
10. Yongqian Sun, Binpeng Shi, Mingyu Mao, Minghua Ma, Sibo Xia, Shenglin Zhang*, Dan Pei. ART: A Unified Unsupervised Framework for Incident Management in Microservice Systems. 2024 IEEE/ACM Automated Software Engineering Conference (ASE), Sacramento, California, United States, October 27 – November 1, 2024 (CCF A) .
11. Lei Tao, Shenglin Zhang, Zedong Jia, Jinrui Sun, Minghua Ma, Zhengdan Li*, Yongqian Sun, Canqun Yang, Yuzhi Zhang, Dan Pei. Giving Every Modality a Voice in Microservice Failure Diagnosis via Multimodal Adaptive Optimization. 2024 IEEE/ACM Automated Software Engineering Conference (ASE), Sacramento, California, United States, October 27 – November 1, 2024 (CCF A).
12. Shenglin Zhang, Yuhe Ji, Jiaqi Luan, Xiaohui Nie, Zi`ang Chen, Minghua Ma, Yongqian Sun*, Dan Pei. End-to-End AutoML for Unsupervised Log Anomaly Detection. 2024 IEEE/ACM Automated Software Engineering Conference (ASE), Sacramento, California, United States, October 27 – November 1, 2024 (CCF A) .
13. Zhe Xie, Shenglin Zhang, Yitong Geng, Yao Zhang, Minghua Ma, Xiaohui Nie, Zhenhe Yao, Longlong Xu, Yongqian Sun, Wentao Li, Dan Pei. Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space. 2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), Barcelona, Spain, August 2024 (CCF A) .
14. Lei Tao, Xianglin Lu, Shenglin Zhang*, Jiaqi Luan, Yingke Li, Mingjie Li, Zeyan Li, Qingyang Yu, Hucheng Xie, Ruijie Xu, Chenyuan Hu, Canqun Yang, Dan Pei. Diagnosing Performance Issues for Large-Scale Microservice Systems with Heterogeneous Graph. IEEE Transactions on Services Computing, 2024, 17(5):2223-2235 (CCF A) .
15. Shenglin Zhang, Jun Zhu, Bowen Hao, Yongqian Sun*, Xiaohui Nie, Jingwen Zhu, Xilin Liu, Xiaoqian Li, Yuchi Ma, Dan Pei. Fault Diagnosis for Test Alarms in Microservices Through Multi-source Data. ACM International Conference on the Foundations of Software Engineering (FSE), Industry Track. Porto de Galinhas, Brazil, July 15-19, 2024 (CCF A) .
16. Shenglin Zhang, Yongxin Zhao, Xiao Xiong, Yongqian Sun*, Xiaohui Nie, Jiacheng Zhang, Fenglai Wang, Xian Zheng, Yuzhi Zhang, Dan Pei. Illuminating the Gray Zone: Non-Intrusive Gray Failure Localization in Server Operating Systems. ACM International Conference on the Foundations of Software Engineering (FSE), Industry Track. Porto de Galinhas, Brazil, July 15-19, 2024 (CCF A).
17. Sibo Xia, Minghua Ma, Pengxiang Jin, Liyue Cui, Shenglin Zhang*, Wa Jin, Yongqian Sun, Dan Pei. Response Time Anomaly Diagnosis for Search Service[J]. Journal of Computer Research and Development, 2024, 61(6): 1573-1584 (in Chinese).
18. Zhaoyang Yu#, Shenglin Zhang#, Mingze Sun, Li Yingke, Zhaoyankai, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei*. Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.The Web Conference 2024. Singapore, May 13 – 17, 2024 (CCF A).
2022
1. Yongqian Sun, Daguo Cheng, Pengxiang Jin, Quan Ding, Shenglin Zhang*, Xu Chen, Yuzhi Zhang, Minghan Liang, Dan Pei, Jianyan Zheng, Sen Luo, Xinyu Tang. Robust Anomaly Clue Localization of Multi-dimensional Derived Measure for Online Video Services. IEEE Transactions on Services Computing. Accepted (CCF B, SCI中科院1区, Impact Factor: 8.21).
2. Xianglin Lu, Zhe Xie, Zeyan Li, Mingjie Li, Xiaohui Nie, Nengwen Zhao, Qingyang Yu, Shenglin Zhang, Kaixin Sui, Lin Zhu and Dan Pei. Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database systems. IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing (CCGrid), May 16-19, 2022 (CCF C).
3. Shenglin Zhang, Dongwen Li, Zhenyu Zhong, Jun Zhu, Minghan Liang, Jiexi Luo, Yongqian Sun*, Ya Su, Sibo Xia, Zhongyou Hu, Yuzhi Zhang, Dan Pei, Jiyan Sun and Yinlong Liu. Robust System Instance Clustering for Large-Scale Web Services. The Web Conference (WWW), Virtual Conference, April 25-29, 2022 (CCF A).
4. Xiaolei Hua, Lin Zhu, Shenglin Zhang, Zeyan Li, Su Wang, Dong Zhou, Shuo Wang, Chao Deng. GenAD: General Representations of Multivariate Time Series for Anomaly Detection. Artificial Intelligence for Cyber Security (AICS), AAAI-22 Workshop, Vancouver, BC, Canada, February 2022.
2021
1. Shenglin Zhang, Chenyu Zhao, Yicheng Sui, Ya Su*, Yongqian Sun, Yuzhi Zhang, Dan Pei, Yizhe Wang. “Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels”.IEEE International Symposium on Software Reliability Engineering (ISSRE), October 25-28, 2021, Wuhan, China (CCF B).
2. Minghua Ma, Shenglin Zhang*, Junjie Chen, Haozhe Li, Yongliang Lin, Jim Xu, Xiaohui Nie, Bo Zhu, Yong Wang. “Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems”. USENIX Annual Technical Conference (USENIX ATC), Virtual Conference, July 14-16, 2021 (CCF A).
3. Ya Su, Youjian Zhao, Ming Sun, Shenglin Zhang*, Xidao Wen, Yongsu Zhang, Xian Liu, Xiaozhou Liu, Junliang Tang, Wenfei Wu, Dan Pei. “Detecting Outlier Machine Instances through Gaussian Mixture Variational Autoencoder with One Dimensional CNN”. IEEE Transactions on Computers (TC). (CCF A, SCI indexed, Impact Factor: 2.711，中科院2区)
4. Weibin Meng, Ying Liu, Shenglin Zhang*, Federico Zaiter, Yuzhe Zhang, Yuheng Huang, Zhaoyang Yu, Yuzhi Zhang, Lei Song, Ming Zhang, Dan Pei. “LogClass: Anomalous Log Identification and Classification with Partial Labels”. IEEE Transactions on Network and Service Management (TNSM), Volume 18, Issue 2, pp 1870 - 1884, June 2021 (SCI indexed, Impact Factor: 3.878，中科院2区).
5. Ming Sun, Ya Su, Shenglin Zhang, Yuanpu Cao, Yuqing Liu, Dan Pei, Wenfei Wu, Yongsu Zhang, Xiaozhou Liu, Junliang Tang. “CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer”. IEEE International Conference on Computer Communications (INFOCOM) 2021, Virtual Conference, May 2021 (CCF A)
2020
1. 苏金树，赵宝康，董德尊，吕高锋，文梅，魏亮，彭伟，李福亮，张圣林，孙永谦. 新一代数据中心网络技术研究进展.《CCF 2019-2020中国计算机科学技术发展报告》，机械工业出版社，2020.10.
2. Rui Chen, Shenglin Zhang, Dongwen Li, Yuzhe Zhang, Fangrui Guo, Weibin Meng, Dan Pei, Yuzhi Zhang, Xu Chen, Yuqing Liu. "Cross-System Log Anomaly Detection for Software Systems". IEEE International Symposium on Software Reliability Engineering (ISSRE), Virtual Conference, October 2020 (CCF B).
3. Ping Liu, Haowen Xu, Qianyu Ouyang, Rui Jiao, Zhekang Chen, Xiaoying Bai, Shenglin Zhang, Jiahai Yang, Linlin Mo, Jice Zeng, Wenman Xue, Dan Pei. “Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks”. IEEE International Symposium on Software Reliability Engineering (ISSRE), Virtual Conference, October 2020 (CCF B).
4. Minghua Ma, Zheng Yin, Shenglin Zhang, Sheng Wang, Christopher Zheng, Xinhao Jiang, Hanwen Hu, Cheng Luo, Yilin Li, Nengjun Qiu, Feifei Li, Changcheng Chen, Dan Pei. “Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases”. International Conference on Very Large Data Bases (VLDB), Virtual Conference, August 2020 (CCF A)。
5. Weibin Meng, Ying Liu, Federico Zaiter, Shenglin Zhang*, Yihao Chen, Yuzhe Zhang, Yichen Zhu, En Wang, Ruizhi Zhang, Shimin Tao, Dian Yang, Rong Zhou, Dan Pei. “LogParse: Making Log Parsing Adaptive through Word Classification”. IEEE International Conference on Computer Communications (ICCCN) 2020, Virtual Conference, August 3-6, 2020 (CCF C).
6. Weibin Meng, Ying Liu, Yuheng Huang, Shenglin Zhang*, Federico Zaiter, Bingjin Chen, Dan Pei. “A Semantic-aware Representation Framework for Online Log Analysis”. IEEE International Conference on Computer Communications (ICCCN) 2020, Virtual Conference, August 3-6, 2020 (CCF C).
7. Yuan Meng, Shenglin Zhang*, Yongqian Sun, Ruru Zhang, Zhilong Hu, Yiyin Zhang, Chenyang Jia, Zhaogang Wang, Dan Pei. “Localizing Failure Root Causes in a Microservice through Causality Inference”. International Symposium on Quality of Service (IWQoS), Virtual Conference, June 2020 (CCF B)
8. 张圣林，林潇霏，孙永谦，张玉志，裴丹. 基于深度学习的无监督KPI异常检测. 《数据与计算发展前沿》, 2(3): 87-100, 2020.6 (邀稿)
9. 张圣林，李东闻，孙永谦，孟伟彬，张宇哲，张玉志，刘莹，裴丹. 面向云数据中心多语法日志通用异常检测机制. 《计算机研究与发展》，57(4):778-790, 2020.
10. Shenglin Zhang, Ying Liu, Weibin Meng, Jiahao Bu, Sen Yang, Yongqian Sun*, Dan Pei, Jun Xu, Yuzhi Zhang, Lei Song, Ming Zhang. “Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks”. IEEE Access, Volume 8, pp 30245-30261, February 2020 (SCI Indexed, Impact Factor: 4.098，中科院2区)
2019
1. Ping Liu, Yu Chen, Xiaohui Nie, Jing Zhu, Shenglin Zhang, Kaixin Sui, Ming Zhang, Dan Pei. “FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation”. IEEE International Symposium on Software Reliability Engineering (ISSRE), Berlin, Germany, October 2019 (CCF B)
2. Weibin Meng, Ying Liu, Yichen Zhu, Shenglin Zhang*, Dan Pei, Yuqing Liu, Yihao Chen, Ruizhi Zhang, Shimin Tao, Pei Sun, Rong Zhou. “LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs”. International Joint Conference on Artificial Intelligence (IJCAI), Macao, China, August 2019 (CCF A).
3. Yuan Meng, Shenglin Zhang*, Zijie Ye, Benliang Wang, Zhi Wang, Yongqian Sun, Qitong Liu, Shuai Wang, Dan Pei. “Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild”. IEEE International Conference on Multimedia and Expo (ICME), Shanghai, China, July 2019 (CCF B)
2018
1. Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, Zhi Zang, Xiaowei Jing, Mei Feng. ``FUNNEL: Assessing Software Changes in Web-based Services”, IEEE Transactions on Services Computing, Volume 11, Issue 1, January - February 2018 (SCI Indexed, Impact Factor: 5.82，中科院2区)
2. Yongqian Sun, Youjian Zhao, Ya Su, Dapeng Liu, Xiaohui Nie, Yuan Meng, Shiwen Cheng, Dan Pei∗, Shenglin Zhang, Xianping Qu, Xuanyou Guo. ``HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes'', IEEE Access, Volume 6, pp. 10909 - 10923, February 2018 (SCI Indexed, Impact Factor: 4.098，中科院2区)
3. Minghua Ma, Shenglin Zhang*, Dan Pei, Xin Huang, Hongwei Dai. `` Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection''.IEEE International Symposium on Software Reliability Engineering (ISSRE), Memphis, TN, USA, October 2018 (Best Research Paper Award, CCF B)
4. Shenglin Zhang, Ying Liu, Weibin Meng, Zhiling Luo, Jiahao Bu, Sen Yang, Peixian Liang, Dan Pei, Jun (Jim) Xu, Yuzhi Zhang, Yu Chen, Hui Dong, Xianping Qu, Lei Song. ``PreFix: Switch Failure Prediction in Datacenter Networks ". ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems 2018, Irvine, California, USA, June 18-22, 2018 (CCF B, acceptance rate 20%, 54/270, one of the only two papers with institutes in Mainland China)
5. Weibin Meng, Ying Liu, Shenglin Zhang*, Dan Pei, Hui Dong, Lei Song, Xulong Luo. ``Device-Agnostic Log Anomaly Classification with Partial Labels'', IEEE/ACM International Symposium on Quality of Service (IWQOS) 2018, Banff, Alberta, Canada, June 2018 (CCF B)
6. Jiahao Bu, Ying Liu, Shenglin Zhang*, Weibin Meng, Qitong Liu, Xiaotian Zhu, Dan Pei. “Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams”. International Performance Computing and Communications Conference (IPCCC), Orlando, Florida, USA, November 2018 (CCF C)
7. Shenglin Zhang, Ying Liu, Dan Pei, and Baojun Liu. ``Measuring BGP AS Path Looping (BAPL) and Private AS Number Leaking (PANL)'', Journal of Tsinghua University (Science and Technology), Volume 23, Number 1, pp 22– 34, February 2018 (SCI Indexed, IF 1.328)
2017
1. 裴丹，张圣林，裴昶华。《基于机器学习的智能运维》。中国计算机学会通讯，专栏文章，2017年第12期
2. Shenglin Zhang, Weibin Meng, Jiahao Bu, Sen Yang, Ying Liu, Dan Pei, Jun (Jim) Xu, Yu Chen, Hui Dong, Xianping Qu, Lei Song. ``Syslog Processing for Switch Failure Diagnosis and Prediction in Datacenter Networks”, IEEE/ACM International Symposium on Quality of Service (IWQOS) 2017, VILANOVA I LA GELTRÚ, SPAIN, June 2017 (CCF B)
2016及以前
1. Shenglin Zhang, Ying Liu, Dan Pei, Yu Chen, Xianping Qu, Shimin Tao, and Zhi Zang. ``Rapid and Robust Impact Assessment of Software Changes in Large Internet-based Services”, ACM International Conference on emerging Networking EXperiments and Technologies (CoNEXT), Heidelberg, Germany, December 2015, 13 pages (CCF B)
2. Ying Liu, Shenglin Zhang*, Hongying Liu. ``A bottleneck-free model for P4P”, SCIENCE CHINA Information Sciences, Volume 58, Issue 10, pp 1-15, October 2015 (SCI Indexed, Impact Factor: 3.304，中科院2区)
3. Ying Liu, Gang Ren, Jianping Wu, Shenglin Zhang, Lin He, Yihao Jia. ``Building An IPv6 Address Generation and Traceback System With NIDTGA in Address Driven Network'', SCIENCE CHINA Information Sciences, Volume 58, Issue 12, pp 1-14, December 2015 ( (SCI Indexed, Impact Factor: 3.304，中科院2区)
4. Shenglin Zhang, Ying Liu, Dan Pei. ``A Measurement Study on BGP AS Path Looping Behavior”. IEEE International Conference on Computer Communications and Networks (ICCCN), Shanghai, China, August 4, 2014, 7 pages. (CCF C)
5. Ying Liu, Shenglin Zhang*, Hongying Liu. ``An Improved Cooperative Model of P2P and ISP”. Frontiers in Internet Technologies, 85-96, LNCS, Springer, 2013. (EI检索)
6. 张圣林，刘莹。AS 路径环路的研究。《通信学报》, 2013, (Z2): 17-22. (EI检索)
申请专利：
1. 张圣林, 应用上线指标的检测方法及装置. 中国专利：CN104809059B，2018.2，已授权
2. 张圣林，应用上线指标的检测方法及装置. 中国专利：CN104809059B，2018.2，已授权
3. 任罡, 刘莹, 吴建平, 张圣林, 贾溢豪, 何林. 用户互联网身份标识及生成方法和系统. 中国专利：CN105262848B，2018.2，已授权
4. 张圣林，李东闻，陈锐，孙永谦，张玉志. 基于迁移学习的日志异常检测方法. 中国专利：202010813538X，2020.8，已受理
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学校介绍
南开大学是教育部直属重点综合性大学，是敬爱的周恩来总理的母校。新中国成立以来，学校发展始终得到党和国家的亲切关怀。毛泽东主席题写校名、亲临视察；周恩来总理三回母校指导；邓小平同志会见数学大师陈省身，批示成立南开数学研究所；江泽民同志、胡锦涛同志先后视察南开。特别是党的十八大以来，习近平总书记多次对南开的发展给予肯定，并对相关工作回信和勉励，更在百年校庆之际亲临南开视察。
南开大学由严修、张伯苓秉承教育救国理念创办，肇始于1904年，成立于1919年。1937年校园遭侵华日军炸毁，学校南迁。1938年与北京大学、清华大学合组西南联合大学，被誉为“学府北辰”。1946年回津复校并改为国立。
新中国成立后，经历高等教育院系调整，成为文理并重的全国重点大学。改革开放以来，天津对外贸易学院、中国旅游管理干部学院相继并入，经教育部与天津市共建支持，学校发展成为国家“211工程”和“985工程”重点建设的综合性研究型大学。2015年9月，新校区建成启用后，初步形成了八里台校区、津南校区、泰达学院“一校三区”办学格局。2017年9月，入选国家42所世界一流大学建设高校，且为36所A类高校之一。
南开大学坚持“允公允能，日新月异”的校训，弘扬“爱国、敬业、创新、乐群”的传统和“文以治国、理以强国、商以富国”的理念，以“知中国，服务中国”为宗旨，以杰出校友周恩来为楷模，作育英才，繁荣学术，强国兴邦，传承文明，努力建设世界一流大学。
南开大学占地443.12万平方米，其中八里台校区占地121.60万平方米，津南校区占地245.89万平方米，泰达学院占地6.72万平方米。校舍建筑总面积195.19万平方米。按照“独立办学、紧密合作”的原则，与天津大学全面合作办学。
南开大学是国内学科门类齐全的综合性、研究型大学之一。在长期办学过程中，形成了文理并重、基础宽厚、突出应用与创新的办学特色。有专业学院26个，学科门类覆盖文、史、哲、经、管、法、理、工、农、医、教、艺等。
南开大学拥有一支公能兼备、业务精湛、奋发有为、充满活力的师资队伍。有专任教师2202人。其中，博士生导师885人、硕士生导师783人，教授898人、副教授857人。
南开大学具备培养学士、硕士和博士的完整教育体系。有在校学生31418人，其中本科生17005人，硕士研究生10299人，博士研究生4114人。有网络专科学生40230人，网络本科学生73029人。
学校积极构建和发展适应21世纪经济社会发展和人才培养需要的学科体系，有本科专业93个（其中国家级特色专业18个），硕士学位授权一级学科11个，硕士专业学位授权点27个，博士学位授权一级学科31个，不在一级学科覆盖下的二级博士点1个，博士后科研流动站28个。有国家“双一流”建设学科5个，一级学科国家重点学科6个（覆盖35个二级学科），二级学科国家重点学科9个，一级学科天津市重点学科32个，国家级一流本科专业建设点21个，省级一流本科专业建设点2个。有国家重点实验室2个，国家工程研究中心1个，国家地方联合工程研究中心1个，2011协同创新中心3个。教育部重点实验室7个，教育部工程研究中心3个，教育部国际合作联合实验室2个，国家环境保护重点实验室1个，国家人权教育与培训基地1个，教育部人文社会科学重点研究基地6个，省部共建协同创新中心1个，教育部国别和区域研究基地7个（培育基地1个、备案基地6个），示范性国家国际科技合作基地4个。国家级实验教学示范中心5个，国家级虚拟仿真实验教学中心2个，国家虚拟仿真实验教学项目2项，国家基础学科人才培养和科学研究基地9个，国家教材建设重点研究基地1个，国家大学生文化素质教育基地1个，中华传统文化传承基地2个，国家创新人才培养示范基地1个。天津市重点实验室20个，天津市工程技术中心4个，天津市普通高等学校实验教学示范中心14个，天津市普通高等学校实验教学示范中心建设单位1个，天津市国际科技合作基地22个，天津市人文社科重点研究基地9个，天津市高校智库8个，天津市社科实验室5个，天津市爱国主义教育基地1个。
有中国科学院院士11人，中国工程院院士4人，发展中国家科学院院士8人，教育部“长江学者奖励计划”特聘教授44人、青年学者19人，“国家杰出青年科学基金”获得者57人、“国家优秀青年科学基金”获得者39人，国家“万人计划”领军人才27人、青年拔尖人才15人，国家“百千万人才工程”入选者30人，教育部“跨世纪人才基金”获得者21人、“新世纪优秀人才支持计划”入选者158人，国家级有突出贡献的专家22人，国务院学位委员会学科评议组成员16人，国家自然科学基金创新研究群体负责人6人，“国家高技术研究发展计划（863计划）”首席科学家3人，“国家重点基础研究发展计划（973计划）”首席科学家15人，国家重点研发计划项目负责人24人。国家级教学名师奖获得者7人，国家级教学团队9个，教育部“高校青年教师奖”获得者8人。天津市杰出人才8人，天津市“人才发展特殊支持计划”领军人才3人、青年拔尖人才11人、高层次创新创业团队带头人11人，天津市有突出贡献专家7人，天津市杰出津门学者3人，天津市“131”创新人才培养工程第一层次人选63人、创新型人才团队带头人17人，“天津市杰出青年科学基金”获得者40人，天津市级教学名师奖获得者35人，天津市级教学团队18个。
南开大学既是教学中心，又是科研中心，取得了一批国内外公认的优秀成果。2019年，周其林院士领衔完成的“高效手性螺环催化剂的发现”项目获国家自然科学奖一等奖。2007—2018年以第一单位获得国家自然科学二等奖4项，国家科技进步二等奖1项，国家技术发明二等奖1项。获国家教学成果奖46项，国家级精品资源共享课31门，国家级精品视频公开课15门，国家级一流本科课程31门，中国专利优秀奖1项，中国青年科技奖2项，全国百篇优秀博士论文累计入选20篇。2018年以来，南开学者团队以第一完成单位在Science上发表研究论文6篇。
南开大学秉承“知中国，服务中国”的优良传统，立足“四个服务”职责使命，聚焦“一带一路”、京津冀协同发展、雄安新区建设等国家和区域发展战略，积极发挥学科、人才和技术优势，努力为国家和地方经济社会发展服务。习近平新时代中国特色社会主义思想研究院、21世纪马克思主义研究院、亚太经济合作组织研究中心、中国新一代人工智能发展战略研究院、经济与社会发展研究院、滨海开发研究院、人权研究中心、津南研究院、统计研究院、生态文明研究院等研究机构是国家有关部委和地方政府的“智囊团”和“人才库”。学校按照“国家急需，世界一流”的原则，全面对接“创新驱动发展”战略、“中国制造2025”等的实施，积极推动各类协同创新中心和若干高层次交叉科学中心建设，与一批高校、企业、科研院所、政府部门建立了紧密合作关系。
南开大学重视学生德、智、体、美、劳全面发展，构建南开特色的“公能”素质教育体系，探索“课堂教学－校园文化－社会实践”三位一体育人模式。以“注重素质、培养能力、强化基础、拓宽专业、严格管理、保证质量”为教学指导思想，实行弹性学制、学分制、主辅修制、双学位制。注重培育优良校风，大力加强校园文化建设，为学生营造丰富高雅、活泼向上的成长氛围。推进创新创业教育，开办“创业班”，推进“南开大学学生创新创业实践基地”建设，提升学生创新能力，助力学生创业计划落地。大力开展“师生同行”社会实践，搭建师生“受教育、长才干、作贡献”的互动平台。南开毕业生以专业基础扎实、综合素质全面、富于开拓精神和实践能力而受到社会各界青睐。
南开大学有着广泛的国际影响，与320多所国际知名大学和国际学术机构建立了合作与交流关系；有专兼职外国专家400余人，以及来自114个国家和地区的2000余名留学生在校学习；承建了英国格拉斯哥大学孔子学院等8所海外孔子学院；与英国牛津大学、伯明翰大学、韩国SK集团共建国际联合研究中心；与世界经济论坛（达沃斯论坛）、全球大学领导者论坛（GULF）、国际公立大学联盟（IFPU）、国际大学联合会（IAU）、世界工程组织联合会（WFEO）等国际组织保持着密切联系，通过积极参与各类国际组织活动，进一步推动与世界一流大学、机构的实质性、深层次合作。
南开大学先后授予数学家陈省身、物理学家吴大猷、经济学家扬·米尔达尔、美国科学院院士蒋－卡洛·若塔、哈佛大学医学院教授摩斯·居达·福克曼、台湾海基会前董事长江丙坤、美国莱斯大学校长李达伟、世界经济论坛主席克劳斯·施瓦布、新加坡总统陈庆炎、法国宪法委员会主席洛朗·法比尤斯等10位国际著名人士名誉博士称号。诺贝尔奖获得者杨振宁、李政道、罗伯特·蒙代尔、彼得·杜赫提、卡尔·巴里·夏普莱斯、弗农·洛马克斯·史密斯、罗伯特·恩格尔、巴里·詹姆斯·马歇尔、托马斯·萨金特，美国前国务卿基辛格，韩国前总统金大中，欧盟委员会前主席、意大利前总理罗马诺·普罗迪，著名作家金庸等被聘为名誉教授，一批海内外知名学者、著名政治家、企业家任客座教授、兼职教授。
南开大学将深入贯彻落实习近平总书记来校视察重要讲话精神，全面贯彻党的教育方针，坚持社会主义办学方向，落实立德树人根本任务，践行“四个服务”重要使命，加快建设南开品格、中国特色、世界一流大学，培养德智体美劳全面发展的社会主义建设者和接班人，为实现中华民族伟大复兴做出新一代南开人的历史贡献。
（数据截至2020年12月）
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