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基本情况

姓  名:

张大林

职  务:

博士生导师

职  称:

副教授

学  历:

研究生

学  位:

博士

通信地址:

逸夫西811

邮  编:

100044

办公电话:

010-51683811

电子邮箱:

dalin@bjtu.edu.cn

教育背景

张大林,1983年生,籍贯内蒙古,博士,副教授,博士生导师,智慧交通软件与安全研究中心主任。2014年7月毕业于北京邮电大学,获计算机科学与技术专业工学博士学位,并于同年7月来北京交通大学从事教学科研工作。2016至2017年在普渡大学(美国)电子与计算机工程系从事博士后研究。

研究方向

  • 软件工程理论与技术
  • 人工智能与大数据
  • 软件服务工程
  • 智能交通领域软件工程
  • 软件工程

招生专业

  • 软件工程硕士
  • 软件工程博士

专业方向

人工智能与软件工程、 智能交通软件

教学工作

本科课程: 软件构思综合训练、轨道交通信息化概论、交通系统建模与测试

研究生课程:软件工程建模与形式化方法 、经验软件工程(博)

科研项目

  • 自然科学横向项目: 基于数字孪生的智慧云展平台, 2022-2023
  • 自然科学横向项目: 新型城市轨道交通控制架构设计研究, 2022-2022
  • 自然科学横向项目: 综合监测货车时空同步及通信平台研究, 2022-2025
  • 北京市自然基金“轨道交通联合”: 城市轨道交通钢轨波磨快速检测、智能诊断与维护管理技术研究, 2021-2024
  • 自然科学横向项目: 社区图卷积神经网络应用关键技术研究, 2022-2023
  • 自然科学横向项目: 新一代列车网络控制系统态势感知关键技术研究, 2021-2022
  • 自然科学横向项目: 北京地铁消息中台方案论证与标准编制, 2021-2022
  • 前沿中心项目: (前沿)基于主动学习与缺陷预测的高速铁路关键软件缺陷检测, 2021-2023
  • 自然科学横向项目: 协议软件建模、分析、验证、测试方案, 2021-2022
  • 自然科学类人才基金项目: 基于逐点卷积神经网络的离散紧耦合选择模型研究, 2021-2023
  • 国家重点研发计划-任务: 互联网+政务大数据透明管理与智能服务平台, 2019-2022
  • 国家重点研发计划-任务: 智能运动感知技术与辅助训练系统, 2019-2022
  • 铁路总公司(原铁道部): 铁路运营安全关键技术研究-高速铁路列控系统安全风险分析方法及技术研究, 2015-2016
  • 国家自然科学基金"青年基金": 基于抽象语义切片和后向求精分析的静态分析警报自动确认研究, 2016-2018

论文/期刊

[36]      D. Zhang, Y. Xu et al., "An Interpretable Station Delay Prediction Model Based on Graph Community Neural Network and Time-Series Fuzzy Decision Tree," in IEEE Transactions on Fuzzy Systems, 2022(SCI 1区)

[35]      Xu, Yi; Zhang, Dalin; Peng, Yunjuan; Wang, Nan; Lu, Lingyun; Liu, Jiqiang (2022): DCGCN: Dynamic community graph convolutional network for traffic forecasting. TechRxiv. Preprint. https://doi.org/10.36227/techrxiv.21256608.v1 

[34]      Zhang, D., Peng, Y., Xu, Y. et al. A high-speed railway network dataset from train operation records and weather data. Scientific Data 9, 244 (2022). (Nature子刊,SCI 2区)

[33]      Zhao, Y., Wang, Y., Zhang, Y., Zhang, D., Gong, Y., & Jin, D. (2022). ST-TLF: Cross-version defect prediction framework based transfer learning. Information and Software Technology, 106939.(SCI 2区)

[32]      Y Zhao, Y Wang, D Zhang, Y Gong. "Eliminating the high false‐positive rate in defect prediction through BayesNet with adjustable weight." Expert Systems (2022).(SCI 4区)

[31]      徐邑,张大林,彭云鹃,王楠,吴道华, “C-MATGCN:一种用于高铁站点延误预测的图社区多注意力卷积网络” , 2022中国空间数据智能学术会议SpatialDI, 2022.

[30]      D. Zhang, Y. Xu, Y. Peng, Y. Zhang, D. Wu, H. Wang, J. Liu, S. Mohammed, and A. Calvi, “Prediction of train station delay based on multiattention graph convolution network,” Journal of Advanced Transportation, vol. 2022. (SCI 3区)

[29]      D. Zhang, J. Fiaidhi, and C. Ramos, “Intelligent processing of multimedia signals,” 2022. (SCI 4区)

[28]      D. Zhang, S. Mohammed, and A. Calvi, “Fuzzy logic systems for transportation engineering,” Journal of Intelligent & Fuzzy Systems, no. Preprint, pp. 1–8, 2021.(SCI 4区)

[27]      张大林,张哲玮,王楠,刘吉强, ”AutoUnit:基于主动学习的预测引导的单元测试自动生成”, 2021CCF中国软件大会, 2021.

[26]      Q. Lyu, D. Zhang, R. Da, and H. Zhang, “Refuzz: A remedy for saturation in coverage-guided fuzzing,” Electronics, vol. 10, no. 16, p. 1921, 2021. (SCI 4区)

[25]      D. Zhang, Y. Peng, Y. Zhang, D. Wu, H. Wang, and H. Zhang, “Train time delay prediction for high-speed train dispatching based on spatio-temporal graph convolutional network,” IEEE Transactions on Intelligent Transportation Systems, 2021. (SCI 1区)

[24]      Y. Wang, J. Liu, D. Zhang, and X. Qiu, “Reasoning about recursive tree traversals,” in Proceedings of the 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021, pp. 47–61. (CCF A)

[23]  Z. Jiang, H. Li, D. Zhang, R. Wang, J. Zhang, X. Li, M. Zhang, and P. Wang, “A review of software reliability testing techniques,” Journal of computing and information technology, vol. 28, no. 3, pp. 147–164, 2020.

[22]  S. Mohammed, H. R. Arabnia, X. Qu, D. Zhang, T.-H. Kim, and J. Zhao, “Ieee access special section editorial: Big data technology and applications in intelligent transportation,” IEEE Access, vol. 8, pp. 201331–201344, 2020.

[21]  Y. Sun, H. Gong, Y. Li, and D. Zhang, “Hyperparameter importance analysis based on n-rrelieff algorithm,” International Journal of Computers Communications & Control, vol. 14, no. 4, pp. 557–573, 2019.

[20]  Y.-l. Sun and D.-l. Zhang, “Machine learning techniques for screening and diagnosis of diabetes: a survey,” Technical Gazette, vol. 26, no. 3, pp. 872–880, 2019.

[19]  Y. Sun and D. Zhang, “Diagnosis and analysis of diabetic retinopathy based on electronic health records,” Ieee Access, vol. 7, pp. 86115–86120, 2019.

[18]  Y. Zhang, J. Zhang, D. Zhang, and Y. Mu, “Survey of directed fuzzy technology,” in 2018 IEEE 9th International Conference on Software Engineering and Service Science (ICSESS). IEEE, 2018, pp. 1–4.

[17]  J. Zhang, Q. Xue, and D. Zhang, “Mining usage profile to improve web performance testing,” International Journal of Services Operations and Informatics, vol. 9, no. 3, pp. 189–206, 2018.

[16]  D. Zhang and X. Qiu, “Applying gis and multilayered interactive cellular automata to high-speed train control system modeling,” in 2018 7th International Conference on Computers Communications and Control (ICCCC). IEEE, 2018, pp. 86–90.

[15]  H. Li, A. Zhao, D. Zhang, and J. Zhang, “Research on building software usage model based on uml model,” International Journal of System Assurance Engineering and Management, vol. 9, no. 3, pp. 675–683, 2018.

[14]  Y. Zhang and D. Zhang, “An attitude determination method for comprehensive inspection vehicle based on track profile registration,” Periodica Polytechnica Transportation Engineering, vol. 45, no. 4, pp. 181–185, 2017.

[13]  D. Zhang, J. Sui, and Y. Gong, “Large scale software test data generation based on collective constraint and weighted combination method.” Technical Gazette, vol. 24, no. 4, 2017.

[12]  D. Zhang, “High-speed train control system big data analysis based on the fuzzy rdf model and uncertain reasoning,” International Journal of Computers Communications & Control, vol. 12, no. 4, pp. 577–591, 2017.

[11]  Y. Chen, S. Zhao, B. Cheng, and D. Zhang, “The design of warehouse security monitoring system based on collaborative linkage of multi-sensor,” in 2015 4th International Conference on Computer Science and Network Technology (ICCSNT), vol. 1. IEEE, 2015, pp. 315–319.

[10]  Y. Liu, S. Zhao, B. Cheng, and D. Zhang, “Heterogeneous sensors access middleware platform based on osgi,” in 2015 4th International Conference on Computer Science and Network Technology (ICCSNT), vol. 1. IEEE, 2015, pp. 447–451.

[9]  Y. Liu, S. Zhao, B. Wu, B. Cheng, and D. Zhang, “Design and implementation of a data-oriented business process management system,” in 2015 4th International Conference on Computer Science and Network Technology (ICCSNT), vol. 1. IEEE, 2015, pp. 441–446.

[8]  D. Zhang, G. Yin, D. Jin, Y. Gong, T. Wu, and H. Zhang, “A hybrid static analysis refinement approach within internetware environment,” in Proceedings of the 7th Asia-Pacific Symposium on Internetware, 2015, pp. 141–147.

[7]  T. Wu, J. Zhang, D. Zhang, and D. Jin, “Static analysis refinement on defect path segment,” in 13th National Conference on Embedded System Technology. Springer, Singapore, 2015, pp. 45–57.

[6]  Y. Xiao, D. Jin, and D. Zhang, “A method of tainted data detection based on static code analysis,” in International Conference on Mechatronics, 2015.

[5]  Y. Liu, D. Jin, and D. Zhang, “Log system based on software testing system design and implementation,” in 2015 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering. Atlantis Press, 2015, pp. 1326–1332.

[4]  张大林, 金大海, 宫云战, . 基于缺陷关联的静态分析优化[J]. 软件学报, 2014, 25(2): 386-399.

[3]  张大林, 金大海, 宫云战, . 基于踪迹挖掘的自动缺陷警报分类方法[J]. 中国科学: 信息科学, 2014 (001): 91-107.

[2]  D. Zhang, D. Jin, Y. Xing, H. Zhang, and Y. Gong, “Automatically mining similar warnings and warning combinations,” in 2013 10th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD). IEEE, 2013, pp. 783–788.

[1]  H. Zhang, D. Zhang, D. Jin, Y. Gong, and C. Wang, “Automatically mining high level patterns of software faults within methods,” in 2013 13th International Conference on Quality Software. IEEE, 2013, pp. 196–199.

专著/译著

  • 源代码分析,2017,科学出版社

获奖与荣誉

2016年 北京交通大学优秀教学成果二等奖

2022年 北京交通大学“教书育人先进个人”

2022年 北京交通大学就业创业贡献奖

2022年 北京交通大学优秀硕士论文指导教师

社会兼职

1、计算机学会 软件工程专委会委员 

2、期刊特邀主编

EURASIP Journal on Wireless Communications and NetworkingSCI,2018

International Journal of Open Source Software and Processes (EI,2018) 

Journal International Journal of Computers and ApplicationsEI,2019

IEEE ACCESS(SCI,2020

MULTIMEDIA TOOLS AND APPLICATIONS(SCI,2020)

The International Journal for the Computer and Telecommunications Industry(SCI,2021)

IET Intelligent Transport System (SCI,Special Issue : Electro-Mobility for Urban Traffic and Transportation,2021

Journal of Organizational and End User Computing(SCI,Special Issue On: Network Traffic Monitoring and Analysis For Quality of Experience at End Users,2021

Computational Intelligence and Neuroscience(Special Issue on Interpretable Methods of Arti®cial Intelligence Algorithms,2022

3、期刊编委:

Journal of Cybernetics and Information Technologies(控制论与信息技术期刊2023年6月开始被SCI检索,欢迎投稿!)

4、期刊审稿人

软件学报、计算机学报、中国科学:信息科学、Technical GazetteFuture Generation Computer Systems、IEEE ACCESS、International Journal of Modelling and Simulation、International Journal for RF Technologies: Research and Applications等期刊。