杜庆峰 DU QING FENG 博士 教授，博导 智慧城市感知与规划重大工程软件技术教育部工程研究中心 常务副主任 电子邮件：Du_cloud@tongji.edu.cn
	主讲课程： 1.软件工程(上海市重点课程) 2.软件测试技术 3.软件度量	研究方向： 1. 大数据及机器学习 2. 软件工程（软件估算模型、软件（系统）故障模型、软件测试与质量控制及软件的韧性等）

目前主要研究领域

• 1. 深度学习的云平台复杂系统的故障检测、诊断分析，故障注入（测试）及预测模型研究；

• 2. 知识图谱的微服务架构云平台的智能运维研究；

• 3. AI（人工智能）语义场景研究。

• 4. 深度学习的软件缺陷预测方法研究。

工作经验

1991年7月---2003年11月：

• 2003年至今，威廉希尔WilliamHill，中国软件测试认证委员会资深专家、专家组组长，中国软件行业协会软件过程改进分会专家，威廉希尔WilliamHill足球第二届教学质量督导专家，国家自然科学基金委员会评议专家，威廉希尔WilliamHill足球教学名师.

• 1994年11月～2003年3月在上海华腾软件公司工作.

• 1993年10～1994年11月在安徽大潮软件技术公司从事软件开发及管理.

• 1988年7月～1993年10月在安徽省测绘局工作.

• 2013年12～2014年7月在美国圣地亚哥州立大学高级研究访问学者.

部分研究项目：

1)主持科技部科技创新2030—重大项目《数字货币风险分析和可信防控技术研究及示范应用》课题《知识驱动的风险防控与数字身份长期安全》。

2)主持国家自然科学基金项目面上项目《SVG格式的时态GIS数据动态解析模型及增量存取机制研究》。

3)主持国家自然科学基金高铁联合基金重点项目《高铁隧道采集-设计-施工一体化智能建造关键技术》子课题。

4)主持科技部国家重点研发计划《城市重大市政设施智能化运维与管控平台构建及应用示范》子课题《市政设施运营状态网络协同自校正与虚拟重构技术研究》。

5)主持与华为合作项目《opnfv测试领域技术研究》。

6)主持与华为合作项目《OPNFV故障注入技术及可靠性测试研究》。

7)主持与华为合项目《电信领域微服务定界定位运维本体模型构建》。

8)主持与华为合作项目《复杂系统更新作业影响半径模型研究》。

部分发表的文章（第一或通讯作者）：

1. Xu jincheng, Qingfeng Du*. Adversarial attacks on text classification models using layer-wise relevance propagation[J]. International Journal of Intelligent Systems, 2020, 35(9): 1397-1415.

2. Xu jincheng, Qingfeng Du*. TextTricker: Loss-based and gradient-based adversarial attacks on text classification models[J]. Engineering Applications of Artificial Intelligence, 2020, 92: 103641.

3. Xu jincheng, Qingfeng Du*. Learning transferable features in meta-learning for few-shot text classification[J]. Pattern Recognition Letters, 2020, 135: 271-278.

4. Xu jincheng, Qingfeng Du*. Learning neural networks for text classification by exploiting label relations[J]. Multimedia Tools and Applications, 2020, 79: 22551-22567.

5. Xu jincheng, Qingfeng Du*. On the Interpretation of Convolutional Neural Networks for Text Classification[C]//24th European Conference on Artificial Intelligence. IOS Press BV, 2020: 2252-2259.

6. Xu jincheng, Qingfeng Du*. A Deep Investigation into fastText[C]//2019 IEEE 21st International Conference on High Performance Computing and Communications; IEEE 17th International Conference on Smart City; IEEE 5th International Conference on Data Science and Systems (HPCC/SmartCity/DSS). IEEE, 2019: 1714-1719.

7. Ni yiwei, Qingfeng Du*, Xu jincheng. Document-Improved Hierarchical Modular Attention for Event Detection[C]//International Conference on Knowledge Science, Engineering and Management. Springer, Cham, 2020: 325-335.

8. Qingzhi S., Qingfeng Du*, Chenxi Z., et al. Chinese News Event Corpus Construction Method Based on Syntax Tree[C]//Proceedings of the 2020 3rd International Conference on Big Data Technologies. 2020: 20-25.

9. Qiu Juan, Qingfeng Du*, Qian Chongshu. KPI-TSAD: A Time-Series Anomaly Detector for KPI Monitoring in Cloud Applications. SYMMETRY-BASEL. NOV 2019, 11(11): 1350.

10. Yin K, Qingfeng Du*, Qiu Juan. Analyse resilience risks in microservice architecture systems with causality search and inference algorithms[J]. International Journal of Web and Grid Services, 2020, 16(2): 147-171.

11. Qiu Juan, Qingfeng Du*, Yin K., et al. A causality mining and knowledge graph based method of root cause diagnosis for performance anomaly in cloud applications[J]. Applied Sciences, 2020, 10(6): 2166.

12. Qingfeng Du, Ruolin H., Guo K., et al. A Resilience Test Case Design Method for Network Function Virtualization Platforms[C]. 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2018: 208-217.

13. Qiu Juan, Qingfeng Du*, He Y., et al. Performance Anomaly Detection Models of Virtual Machines for Network Function Virtualization Infrastructure with Machine Learning[C]. International Conference on Artificial Neural Networks. Springer, Cham, 2018: 479-488.

14. Liu Jiaqi, Qingfeng Du*, Xu Jincheng. A Learning-Based Adjustment Model with Genetic Algorithm of Function Point Estimation.20th IEEE International Conference on High Performance Computing and Communications (HPCC). Exeter, ENGLAND. 2018: 51-58.

15. Qingfeng Du, Ni Z., Zhu R., et al. A Service-Based Testing Framework for NFV Platform Performance Evaluation[C]. 2018 12th International Conference on Reliability, Maintainability, and Safety (ICRMS). IEEE, 2018: 254-261.

16. Qingfeng Du, Huan L., Kanglin Y., et al. VM Reliability Modeling and Analysis for IaaS Could[C]. 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2017: 258-265.

17. Qingfeng Du, Yue T., Tiandi X., et al. A Method of Building Fault Repository for Cloud Infrastructure[C]. 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2017: 220-228.

18. Qiu Juan, Qingfeng Du*, Wang W., et al. Topic Crawler for OpenStack QA Knowledge Base[C]. 2017 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery (CyberC). IEEE, 2017: 309-317.

19. Zhang T, Qingfeng Du*, Xu J., et al. Software Defect Prediction and Localization with Attention-Based Models and Ensemble Learning[C]//the 27th Asia-Pacific Software Engineering Conference. IEEE, 2020.

20. Qingfeng Du, Xie T., He Y.. Anomaly Detection and Diagnosis for Container-Based Microservices with Performance Monitoring[C]. International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2018: 560-572.

21. Li, Jiechu, Qingfeng Du*, et al. Helpful or not?an investigation on the feasibility of identifier splitting via CNN-BiLSTM-CRF.SEKE 2018: 30th International Conference on Software Engineering and Knowledge Engineering. Redwood City, San Francisco Bay, Califor. 2018:175-181.

22. Qingfeng Du, Qiu Juan, Yin K., et al. High availability verification framework for OpenStack based on fault injection[C]. 2016 11th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2016: 1-7.

23. Qingfeng Du, He Y., Xie T., et al. An Approach of Collecting Performance Anomaly Dataset for NFV Infrastructure[C]. International Conference on Algorithms and Architectures for Parallel Processing. Springer, Cham, 2018: 59-71.

主编教材

• 1)《高级软件测试技术》，清华大学出版社 教育部“十一五”规划教材主编.

• 2)《软件测试》，教育部－IBM精品课程.

获奖

• 第四届威廉希尔WilliamHill足球“教学名师”奖

• 2004威廉希尔WilliamHill足球教学奖励金获得者

• 2005花旗集团“金融信息科技教育基金”优秀奖教金获得者

• 2009指导员工获得“花旗杯”金融与信息应用大赛三等奖

• 2010苏邦奖励金二等奖

• 2011被评为威廉希尔WilliamHill足球优秀毕业设计指导教师奖