导师信息#北航计算机学院计算机应用技术导师介绍#张勤

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导师详细信息
姓名咨询QQ、微信：2544906；国防专利审查协作中心《航天器故障诊断技术的知识产权状况调查分析》，总额40万元、《航天器故障诊断专利技术文献数据库建设》，总额60万；国家自然科学基金面上项目咨询QQ、微信：2544906；航天五院科研课题：《基于模型的探测器故障诊断系统》，总额60万。目前北航在读博士生四人、课题组成员十余人。
希望招收有志于DUCG理论研究及应用的优秀研究生。原所学专业不限，但应具备计算机基础知识、掌握软件开发的基本技能，若了解原领域对人工智能的用户需求更好。
近五年代表性学术论文：
[1]Q. Zhang. Dynamic uncertain causality graph for knowledge representation and reasoning: discrete DAG cases. Journal of Computer Science and Technology, 2012, 27(1):1-23.
[2]Q. Zhang, C. Dong, Y. Cui and Z. Yang. Dynamic uncertain causality graph for knowledge representation and reasoning: statistics base, matrix and fault diagnosis. IEEE Trans. Neural Networks and Learning Systems, 2014, 25 (4) 645-663.
[3]Q. Zhang. “Dynamic uncertain causality graph for knowledge representation and reasoning: continuous variable, uncertain evidence and failure forecast.” IEEE Trans. Systems, Man and Cybernetics, DOI: 10.1109/TSMC.2015.2392711, 2015.
[4]Q. Zhang. “Dynamic uncertain causality graph for knowledge representation and reasoning: directed cyclic graph and joint probability distribution.” IEEE Trans. Neural Networks and Learning Systems, DOI: 10.1109/TNNLS.2015.2402162, 2015.
[5]Q. Zhang and S. Geng. “Dynamic uncertain causality graph applied to dynamic fault diagnosis of large and complex systems.” IEEE Trans. Reliability, DOI: 10.1109/TR.2015.2416332, 2015.
[6]C. Dong, Y. Wang, Q. Zhang & N. Wang. The methodology of dynamic uncertain causality graph for intelligent diagnosis of vertigo. Computer Methods and Programs in Biomedicine, 113 (2014) 162-174.
[7]C. Dong, Q. Zhang, S. Geng. A modeling and probabilistic reasoning method of dynamic uncertain causality graph for industrial fault diagnosis. International Journal of Automation and Computing, 11(3), 2014, 288-298.
近五年已授权的发明专利（含国防发明专利）：一种处理不确定因果关系类信息的智能系统的构造方法（中国发明专利），A METHOD FOR CONSTRUCTING AN INTELLIGENT SYSTEM PROCESSING UNCERTAIN CAUSAL RELATIONSHIP INFORMATION（美国发明专利）。