杜庆峰 DU QING FENG 博士 教授,博导
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,同济大学软件学院,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,同济大学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,同济大学教学名师.
  • 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》。

2)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。

3)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》。

4)主持与华为合作项目《opnfv测试领域技术研究》。

5)主持与华为合作项目《OPNFV故障注入技术及可靠性测试研究》。

6)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》。

 

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

  • 第四届同济大学“教学名师”奖
  • 2004同济大学教学奖励金获得者
  • 2005花旗集团“金融信息科技教育基金”优秀奖教金获得者
  • 2009指导学生获得“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被评为同济大学优秀毕业设计指导教师奖

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