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Welcome to AIOps@NKU lab!

南开大学韧性保障与智能运维团队（AIOps@NKU）专注于韧性保障与智能运维研究 12 年，研究信息基础设施韧性保障与智能运维的理论与关键技术，聚焦大规模云平台、数据中心网络、云原生系统、国产操作系统与 AI 基础设施等信息基础设施的可靠运行问题，系统研究面向多源异构运维数据的异常检测、故障预警、根因定位与智能恢复方法。

团队依托南开大学软件学院，同时依托先进计算与关键软件（信创）海河实验室、天津市软件体验与人机交互重点实验室、数据与智能系统安全教育部重点实验室开展研究，入选南开大学卓越工程师产教融合示范性导师团队。团队由张圣林教授和孙永谦副教授创立，现有专任教师 6 人、博士研究生 33 名、硕士研究生 34 名，是国内专门研究韧性保障与智能运维规模最大的团队之一。

团队在 CCF 推荐 A 类国际会议/期刊发表论文 50 余篇（部分论文详见https://nkcs.iops.ai/publications/），获得 CCF A 类会议 FSE 2026 工业赛道唯一杰出论文奖，四度获得 CCF B 类会议 ISSRE 最佳论文奖，成为该会议 35 年来获奖次数最多的团队。团队主持国家科技重大专项课题 1 项、国家自然科学基金项目 5 项、省部级项目 2 项，承担校企合作项目 40 余项，相关技术已在国家电网、中国移动、华为、腾讯、字节跳动、阿里云、应急管理部大数据中心、中国工商银行等单位应用或验证。

团队欢迎对智能运维、可靠性系统与智能体技术感兴趣的博士研究生、硕士研究生和本科生加入，共同解决世界级的运维难题。

The AIOps Group at Nankai University (AIOps@NKU) has worked on resilience assurance and artificial intelligence for IT operations (AIOps) for twelve years. We study the theory and key techniques behind the resilience and intelligent operation of information infrastructure, focusing on the reliable operation of large-scale cloud platforms, data-center networks, cloud-native systems, domestic operating systems, and AI infrastructure. Our work systematically addresses anomaly detection, failure early warning, root-cause localization, and intelligent recovery over multi-source, heterogeneous operational data.

The group is based in the College of Software at Nankai University and also conducts research through the Haihe Laboratory of Information Technology Application Innovation (Advanced Computing and Critical Software), the Tianjin Key Laboratory of Software Experience and Human Computer Interaction, and the Key Laboratory of Data and Intelligent System Security, Ministry of Education. It has been named an Exemplary Industry–Education Integration Supervisory Team for Excellent Engineers at Nankai University. The group currently comprises six faculty members, 33 Ph.D. students, and 34 Master’s students, making it one of the largest groups in China dedicated to resilience assurance and AIOps.

We have published more than 50 papers in CCF Category A international conferences and journals. Our work received the sole Industry Track Distinguished Paper Award at FSE 2026 (CCF A), and Best Paper Awards at ISSRE (CCF B) on four occasions — the highest number of awards won by any team in the conference’s 35-year history. The group leads one National Science and Technology Major Project task, five projects funded by the National Natural Science Foundation of China (NSFC), and two provincial- or ministerial-level projects, and has undertaken more than 40 industry–academia projects. Our techniques have been applied or validated at organizations including State Grid, China Mobile, Huawei, Tencent, ByteDance, Alibaba Cloud, the Big Data Center of the Ministry of Emergency Management, and Industrial and Commercial Bank of China.

We welcome motivated Ph.D., Master’s, and undergraduate students interested in AIOps, dependable systems, and AI agents to join us in tackling world-class operational challenges.

Our lab is organized by Dr. Shenglin Zhang ,  Dr. Yongqian sun and Dr. Wenwei Gu. We have published a series of papers, which can be found here. In addition, here are the courses Dr. Shenglin Zhang, Dr. Yongqian Sun and Dr. Wenwei Gu taught.

News

  1. 7/5/2026:We get six papers accepted by ASE 2026 (CCF A)
  2. 6/5/2026: Our paper, “Graph of States: Solving Abductive Tasks with Large Language Models“, id accepted by International Conference on Machine Learning (ICML) (CCF A)
  3. 21/3/2026: We get two papers accepted by FSE 2026 (CCF A)
  4. 14/3/2026: Our paper, “LLM-Enhanced Failure Localization in Microservices: Integrating Multi-Modal Data and Expert Interpretation”,is accepted by IEEE Transactions on Service Computing (TSC) (CCF A)
  5. 1/12/2025: We get three papers accepted by ICSE 2026 (CCF A)
  6. 12/9/2025: Our paper, “Bridging Edge and Cloud: A Knowledge-Enhanced Framework for Efficient Time Series Anomaly Detection”,is accepted by IEEE Transactions on Service Computing (TSC) (CCF A)
  7. 12/9/2025: We get two papers accepted by ASE 2025 (CCF A)
  8. 5/8/2025:Our paper,”Accurate and Interpretable Log-Based Fault Diagnosis using Large Language Models”, is accepted by IEEE Transactions on Service Computing (TSC) (CCF A)
  9. 19/7/2025: We get four papers accepted by ISSRE 2025 (CCF B)
  10. 1/7/2025: Our paper, “AetherLog: Log-based Root Cause Analysis by Integrating Large Language Models with Knowledge Graphs“, is accepted by International Symposium on Software Reliability Engineering (ISSRE) (CCF B)
  11. 27/6/2025: Our paper, “Effective Node-Level Anomaly Detection in HPC Systems via Coarse-Grained Clustering and Fine-Grained Model Sharing”, is accepted by international Conference for High Performance Computing, Networking, Storage and Analysis (CCF A)
  12. 23/6/2025: Our paper,”LogEval: A Comprehensive Benchmark Suite for LLMs in Log Analysis”, is accepted by Empirical Software Engineering (CCF B)
  13. 17/5/2025: Our paper, “FlowXpert: Expertizing Troubleshooting Workflow Orchestration with Knowledge Base and Multi-Agent Coevolution” , is accepted by ACM SIGKDD Conference on Knowledge Discovery and Data Mining (CCF-A)
  14. 26/3/2025: Our paper, “Bridging the Gap: LLM-Powered Transfer Learning for Log Anomaly Detection in New Software Systems”, is accepted by International Conference on Data Engineering (CCF A)
  15. 25/3/2025: We get two papers accepted by FSE 2025 (CCF A)
  16. 30/10/2024: We received the only two Best Paper Awards at ISSRE ’24! One was for Best Research Paper and the other for Best Industry Paper. To the best of our knowledge, this is the first time that both awards have been given to the same team!
  17. 16/10/2024: Our paper, “Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Software Systems “, is accepted by ACM Transactions on Software Engineering and Methodology (CCF A)
  18. 16/10/2024: Our paper, “No More Data Silos: Unified Microservice Failure Diagnosis with Temporal Knowledge Graph”, is accepted by IEEE Transactions on Services Computing (CCF A)
  19. 08/09/2024: We get three papers accepted by ISSRE 2024 industry track (CCF B)
  20. 08/07/2024: We get one paper accepted and two papers conditionally accepted by ASE 2024 (CCF A)
  21. 08/05/2024: Professor Shenglin Zhang serves as the reviewer of KDD 2025 ADS Track
  22. 07/30/2024: Our paper, “LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices”, is accepted by ISSRE 2024 (CCF B)
  23. 05/17/2024: Our paper, “Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space”, is accepted by KDD (CCF A)
  24. 05/05/2024: Professor Shenglin Zhang serves as the Artifact Evaluation Chair of ISSRE 2024. Welcome to submit your work to ISSRE 2024!
  25. 04/27/2024: Our paper, “Diagnosing Performance Issues for Large-Scale Microservice Systems with Heterogeneous Graph”, is accepted by TSC (CCF A)
  26. 04/19/2024: We get two papers, “Fault Diagnosis for Test Alarms in Microservices Through Multi-source Data” and “Illuminating the Gray Zone: Non-Intrusive Gray Failure Localization in Server Operating Systems”, are accepted by ESEC/FSE 2024 (CCF A)
  27. 01/23/2024: Our paper, “Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems”, is accepted by WWW 2024 (CCF A)
  28. 10/12/2023: Our paper, “AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment”, won the Best Research Paper Award in ISSRE 2023!
  29. 07/31/2023: Our paper, “Assess and Summarize: Improve Outage Understanding with Large Language Models”, is accepted by ESEC/FSE 2023 (CCF A)
  30. 07/30/2023: Three papers are accepted by ISSRE 2023 (CCF B).
  31. 06/29/2023: Our paper, “LogKG: Log Failure Diagnosis through Knowledge Graph,” is also accepted by IEEE TSC (CCF A).
  32. 06/14/2023: Our paper, “Robust Failure Diagnosis of Microservice System through Multimodal Data,” is accepted by IEEE TSC (CCF A).
  33. 05/17/2023: Our paper, “Robust Multimodal Failure Detection for Microservice Systems”, is accepted by ACM SIGKDD 2023 (CCF A).
  34. 05/16/2023: Prof. Shenglin Zhang will be the TPC member of IEEE ISSRE 2023 (CCF B). Welcome to submit your work to IEEE ISSRE 2023!
  35. 05/09/2023: Our paper, “Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services,” is accepted by ICWS 2023 (CCF B).
  36. 04/23/2023: Our paper, “Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters”, is accepted by IEEE Transactions on Computers (CCF A).
  37. 02/27/2023: Prof. Shenglin Zhang will be the TPC member of IEEE ICNP 2023 (CCF B). Welcome to submit your work to IEEE ICNP 2023!
  38. 01/23/2023: Our paper, “CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data,” is accepted by WWW 23 (CCF A).
  39. 05/05/2022: Our paper, “Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services,” is accepted by IEEE JSAC (CCF A, Impact Factor: 9.144). Congratulations!
  40. 03/27/2022: Our paper, “Online Malicious Domain Name Detection with Partial Labels for Large-Scale Dependable Systems,” is accepted by The Journal of Systems & Software (CCF B, Impact Factor: 2.829). Congratulations!
  41. 02/28/2022: Dr. Shenglin Zhang will serve as the TPC member of IEEE ISSRE 2022 (CCF B). Welcome to submit your work to ISSRE 2022!
  42. 02/26/2022: Our paper, “Robust Anomaly Clue Localization of Multi-dimensional Derived Measure for Online Video Services,” is accepted by IEEE Transactions on Services Computing (CCF A, Impact Factor: 8.216). Congratulations!
  43. 02/20/2022: Dr. Shenglin Zhang will serve as the TPC member of IEEE/ACM IWQoS 2022 (CCF B). Welcome to submit your work to IWQoS 2022!
  44. 02/04/2022: Dr. Shenglin Zhang will serve as the TPC member of IEEE ICNP 2022 (CCF B). Welcome to submit your work to ICNP 2022!
  45. 01/14/2022: Our paper “Robust System Instance Clustering for Large-Scale Web Services” is accepted by WWW 22 (CCF A).
  46. Dr. Shenglin Zhang will serve as the TPC member of WWW 2022 (CCF A). Welcome to submit your work to WWW 2022!
  47. Our paper “Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems” is accepted by USENIX ATC (CCF A). Congratulations!
  48. Our paper, “Detecting Outlier Machine Instances through Gaussian Mixture Variational Autoencoder with One Dimensional CNN”, is accepted by IEEE Transactions on Computers (CCF A). Congratulations!
  49. Dr. Shenglin Zhang will serve as the TPC member of ISSRE 2021. Welcome to submit your work to ISSRE 2021!
  50. Our paper “LogClass: Anomalous Log Identification andClassification with Partial Labels” is accepted by IEEE TNSM.
  51. Our papers “Cross-System Log Anomaly Detection for Software Systems” and “Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks” are accepted by IEEE ISSRE 2020.
  52. Our paper, “Localizing Failure Root Causes in a Microservice through Causality Inference”, is accepted by IEEE/ACM IWQoS 2020.
  53. Our paper, “Diagnosing Root Causes of Intermittent Slow Queries in Cloud Databases”, is accepted by VLDB 2020.
  54. Our paper, “Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks”, is accepted by IEEE Access (JCR Zone 2). Congratulations!
  55. Our work is reported by Nature Research in the article entitled “Finding order in a swirl of information”, which introduces College of Software, Nankai University.
  56. Our paper, ” LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs”, is accepted by IJCAI 2019 (CCF A). Congratulations to Ms. Yuqing Liu, who is in her junior year at College of Software, Nankai University now.
  57. Our paper, “Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild”, is accepted by IEEE ICME 2019 (CCF B). Congratulations!
  58. Our paper, “Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection”, of which Dr. Shenglin Zhang is the corresponding author, win the “Best Research Paper Award” at IEEE ISSRE conference (CCF B). Congratulations!