英文版简介:
Name: Yongqian Sun
Title: Assistant professor
Research Interests: AIOps, Service computing, Network Management
Email: sunyongqian(at)nankai.edu.cn
CV:
I am now an assistant professor at the College of Software, Nankai University. My research interests focus on AIOps, including anomaly detection, failure diagnosis, root cause analysis and failure prediction. Before joining Nankai University, I got my Ph. D. in the Department of Computer Science and Technology at Tsinghua University, advised by Professor Dan Pei and Professor Youjian Zhao. I received my B.S. in the Statistical specialty of Department of Applied Mathematics , School of Science, Northwestern Polytechnical University in 2012. I did my internship in Baidu, one of the largest search engines in the world, from 2014 to 2018.
Publications:
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)
Ping Liu, Shenglin Zhang, Yongqian Sun*, Yuan Meng, Jiahai Yang, Dan Pei. “FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System”.International Performance Computing and Communications Conference (IPCCC) 2020, November 2020, Virtual Conference (CCF C)
Ruming Tang, Cheng Huang, Yanti Zhou, Hanwen Wu, Xianglin Lu, Yongqian Sun, Qi Li, Jinjin Lin, Weiyao Huang, Siyuan Sun, Dan Pei. "A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises". SecureComm 2020. Online, October, 2020 )(CCF C)
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), Hangzhou, China, June 2020 (CCF B)
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 (JCR Zone 2, SCI Indexed, IF: 4.098)
Zhang Shenglin, Li Dongwen, Sun Yongqian*, Meng Weibin, Zhang Yuzhe, Zhang Yuzhi, Liu Ying, Pei Dan. "Unified Anomaly Detection for Syntactically Diverse Logs in Cloud Datacenter". Journal of Computer Research and Development, Volume 57, Issue 4, pp 778-790, 2020 (JCR Zone 2)
Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu. "ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks". IEEE International Conference on Computer Communications (INFOCOM), Beijing, China, Apr 27-30, 2020 (CCF A)
Zeyan Li, Chengyang Luo, Yiwei Zhao, Yongqian Sun*, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei, "Generic and Robust Localization of Multi-Dimensional Root Causes"，IEEE International Symposium on Software Reliability Engineering (ISSRE), Berlin, Germany, October 2019 (CCF B)
Yuan Meng ; Shenglin Zhang; Zijie Ye; Benliang Wang; Zhi Wang;Yongqian Sun; Qitong Liu; Shuai Yang; Dan Pei, Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild, IEEE ICME, 2019. (CCF B)
Yongqian Sun, Youjian Zhao, Ya Su, Xiaohui Nie, Yuan Meng, Shenglin Zhang, Shiwen Cheng, Dan Pei, Dapeng Liu, Xianping Qu, Xuanyou Guo, “HotSpot: Anomaly Localization for Additive KPIs with Multi-Dimensional Attributes”, IEEE Access, 2018. (SCI)
Dapeng Liu, Youjian Zhao, Haowen Xu, Yongqian Sun, Dan Pei, Jiao Luo, Xiaowei Jing, Mei Feng, “Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning”, ACM IMC 2015, Tokyo, Japan, Oct 2015. (CCF B)
Guo Chen, Dan Pei, Youjian Zhao and Yongqian Sun, “Designing Buffer Capacity of Crosspoint-Queued Switch”, IFIP NPC 2014, Ilan, Taiwan, Sep 2014. (CCF C)
中文简介更新：
孙永谦
所属部门: 软件工程系
电子邮件: sunyongqian(at)nankai.edu.cn
行政职务: 软件学院 科研干事
职 称: 讲师
学 历: 博士
所学专业:
研究方向: 智能运维，服务计算，网络智能管理
个人主页: http://nkcs.iops.ai/yongqiansun/
个人简介
孙永谦(Yongqian Sun)现为南开大学软件学院讲师,于2018年获清华大学工学博士学位（计算机科学与技术专业）。博士期间在清华大学计算机科学与技术系 NetMan 实验室就读，导师为赵有健老师和裴丹老师。主攻智能运维方向（AIOps），包涵Web应用（搜索引擎、电商网站等）服务中的异常检测、异常定位、告警聚合收敛、故障定位分析等，助力大型应用的服务运维工作朝着智能化、精准化、高度自治化的方向发展。注重科研问题的实际应用价值，追求产学研结合的科研成果。博士在读期间与百度公司合作，通过3.5年的长期实习，挖掘大型Web应用在实际中存在的前沿问题，结合机器学习的算法解决一线运维难题。发表的一些成果已被多家大型互联网企业采用（如 华为、腾讯、百度、蚂蚁金服等）。目前本人仍在 NetMan 实验室担任助理工作，现主持或参加与多家企业的项目合作（华为、阿里巴巴、腾讯、字节跳动、快手、云账户、虎牙等），除此之外还有与金融公司的跨领域合作，以期研究问题能在工业应用价值与科研价值中寻求最佳结合点。此外，2018年12月至2019年7月，与裴丹教授一道，本人作为核心负责人员参与2019国际AIOps挑战赛的筹备、举办工作。
课题组现已与阿里巴巴、腾讯、今日头条、百度、华为、虎牙、CERNET等国内一流IT公司建立了合作关系，分析互联网服务应用层面和机器层面的数据，解决影响用户体验的问题。课题组长期欢迎更多优秀的研究生、本科生加入，共同解决学术价值与工业应用价值兼备的前沿难题，提高广大Web应用用户的体验！
教育背景
2012-2018，清华大学，工学博士，计算机科学与技术专业（导师：赵有健、裴丹）
2008-2012，西北工业大学，理学学士，应用数学系 统计学专业
科研项目、成果、获奖、专利等情况
主要科研项目：
1. 智能运维相关项目，天津市自然科学基金青年项目，2021-2023，项目负责人
2. 智能运维相关项目，云账户技术（天津）有限公司，2021-2022，项目负责人
3. 智能运维相关项目，快手，2020-2021，项目负责人
4. 智能运维相关项目，腾讯公司，2020，项目负责人
5. 智能运维相关项目，字节跳动，2019-2020，项目负责人
6. 智能运维相关项目，浙江天猫技术有限公司，2019-2020，项目负责人
7. 智能运维相关项目，虎牙公司，2019-2020，项目负责人
8. 基于大数据分析的互联网服务性能管理体系结构研究，国家自然科学基金面上项目，2015.01-2018.12，参加
指导学生参与竞赛或项目：
2020美国大学生数学建模竞赛，指导1支队伍
2019美国大学生数学建模竞赛，指导2支队伍（B题、D题）
个人曾获奖项：
天津市“131”创新型人才培养工程第三层次
专利：
陈云，王博，王栋，曲显平，郭宣佑，孙永谦，万阳沙, 系统监控方法和装置, 2018.09.11-2038.09.11, 中国, CN201610814685.2，已授权
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
撰写论文、专著、教材等
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)
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.
Ping Liu, Shenglin Zhang, Yongqian Sun*, Yuan Meng, Jiahai Yang, Dan Pei. “FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System”.International Performance Computing and Communications Conference (IPCCC) 2020, November 2020, Virtual Conference (CCF C)
Ruming Tang, Cheng Huang, Yanti Zhou, Hanwen Wu, Xianglin Lu, Yongqian Sun, Qi Li, Jinjin Lin, Weiyao Huang, Siyuan Sun, Dan Pei. "A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises". SecureComm 2020. Online, October, 2020 )(CCF C)
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), Hangzhou, China, June 2020 (CCF B)
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 (JCR Zone 2, SCI Indexed, IF: 4.098)
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)
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.
Ruming Tang, Zheng Yang, Zeyan Li, Weibin Meng, Haixin Wang, Qi Li, Yongqian Sun, Dan Pei, Tao Wei, Yanfei Xu, Yan Liu. "ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks". IEEE International Conference on Computer Communications (INFOCOM), Beijing, China, Apr 27-30, 2020 (CCF A)
Zeyan Li, Chengyang Luo, Yiwei Zhao, Yongqian Sun*, Kaixin Sui, Xiping Wang, Dapeng Liu, Xing Jin, Qi Wang, Dan Pei, "Generic and Robust Localization of Multi-Dimensional Root Causes"，IEEE International Symposium on Software Reliability Engineering (ISSRE), Berlin, Germany, October 2019 (CCF B)
Yuan Meng ; Shenglin Zhang; Zijie Ye; Benliang Wang; Zhi Wang;Yongqian Sun; Qitong Liu; Shuai Yang; Dan Pei, Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild, IEEE ICME, 2019. (CCF B 类会议)
Yongqian Sun, Youjian Zhao, Ya Su, Xiaohui Nie, Yuan Meng, Shenglin Zhang, Shiwen Cheng, Dan Pei, Dapeng Liu, Xianping Qu, Xuanyou Guo, “HotSpot: Anomaly Localization for Additive KPIs with Multi-Dimensional Attributes”, IEEE Access, 2018. (SCI 检索,IF:3.557)
Dapeng Liu, Youjian Zhao, Haowen Xu, Yongqian Sun, Dan Pei, Jiao Luo, Xiaowei Jing, Mei Feng, “Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning”, ACM IMC 2015, Tokyo, Japan, Oct 2015. (CCF B 类会议)
Guo Chen, Dan Pei, Youjian Zhao and Yongqian Sun, “Designing Buffer Capacity of Crosspoint-Queued Switch”, IFIP NPC 2014, Ilan, Taiwan, Sep 2014. (CCF C 类会议)
讲授课程
《算法导论》；
《并行与分布式程序设计》；
《软件概论》；
《计算机概论》。
