水木读书月 | “学在清华·真人图书馆”62期（世界知识产权日特别活动）

张勤

原中国科协党组副书记、副主席

原国家知识产权局副局长

张秋

清华大学图书馆副馆长

清华大学知识产权信息服务中心主任

2024年4月26日（周五）

14:00-16:00

清华大学图书馆北馆（李文正馆）

G层邺架轩

清华大学图书馆

清华大学技术转移研究院

清华大学核能与新能源技术研究院

清华大学知识产权信息服务中心

清华大学国家大学生文化素质教育基地

清华大学研究生会

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张勤 ，第十三届全国政协常委；中国科协荣誉委员；国际核能院院士；中国人工智能学会会士、因果与不确定性人工智能专委会主任、智慧医疗专委会顾问；中国知识产权研究会学术顾问委员会主任；清华大学博士后校友会会长、核研院和计算机系双聘教授、博导；清华大学互联网产业研究院顾问专家；国家核电重大专项战略咨询专家组组长、中期验收专家组组长；中国科协原党组副书记、副主席、书记处书记；国家知识产权局原副局长；原重庆市科委党组书记、主任；原国家科委“磁浮列车重大技术经济问题研究”课题组组长。

以第一兼通信作者身份在Q1区SCI期刊发表学术论文20篇，以通信作者身份在Q1区SCI期刊发表学术论文8篇，其他学术论文100多篇，获国家发明专利6项、美国发明专利2项，获2014年纽伦堡世界发明展IFIA（世界发明协会）金杯奖（唯一最高奖）。主持国家自然科学基金和中央部委科研项目、清华大学重点研究项目、以及中广核等企业横向科研项目多项，创立了 “动态不确定因果图”（DUCG, Dynamic Uncertain Causality Graph）新一代人工智能理论体系，用于：（1）大型复杂工业系统（核电站、化工系统、卫星系统等）故障在线监测、预报、诊断、发展预测、决策支持、概率安全评价（PSA）等；（2）全科和专科临床辅助诊断及健康管理。

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[1] Zhan Zhang, Yang Jiao, Mingxia Zhang, Bing Wei, Xiao Liu, Juan Zhao, Fengwei Tian, Jie Hu, Qin Zhang. AI-aided general clinical diagnoses verified by third-parties with dynamic uncertain causality graph extended to also include classification, Artificial Intelligence Review, (2022) 55: 4485–4521. IF排名：Computer Science, Artificial Intelligence: 7/145.

[2] Qin Zhang, Xusong Bu, Zhan Zhang, Mingxia Zhang, Jie Hu. Dynamic uncertain causality graph for computer-aided general clinical diagnoses with nasal obstruction as an illustration, Artificial Intelligence Review, (2021) 54: 27-61. 2021. IF排名：Computer Science, Artificial Intelligence: 7/145.

[3] Chunling Dong, Qin Zhang. The Cubic Dynamic Uncertain Causality Graph: A Methodology for Temporal Process Modeling and Diagnostic Logic Inference, IEEE Trans. Neural Networks and Learning Systems, vol. 31, no. 10, pp. 4239-4253, 2020. IF排名：Computer Science, Artificial Intelligence: 14/145.

[4] Yang Jiao, Zhan Zhang, Ting Zhang, Wen shi, Yan Zhu, Jie Hu and Qin Zhang. Development of an artificial intelligence diagnostic model based on dynamic uncertain causality graph for the differential diagnosis of dyspnea, Frontiers of Medicine, vol. 14, pp. 488-497, 2020. IF排名：Medicine, Research & Experimental: 18/139.

[5]  Dongping Ning, Zhan Zhang, Kun Qiu, Lin Lu, Qin Zhang, Yan Zhu and Renzhi Wang. Efficacy of intelligent diagnosis with a dynamic uncertain causality graph model for rare disorders of sex development, Frontiers of Medicine, vol. 14, no. 4, pp. 498-505, 2020. IF排名：Medicine, Research & Experimental: 18/139.

[6] Qin Zhang, Quanying Yao. Dynamic Uncertain Causality Graph for Knowledge Representation and Reasoning: Utilization of Statistical Data and Domain Knowledge in Complex Cases, IEEE Trans. Neural Networks and Learning Systems, vol. 29, no. 5, pp. 1637-1651, 2018. IF排名：Computer Science, Artificial Intelligence: 14/145.

[7] Dong C, Zhou Z, Zhang Q. Cubic Dynamic Uncertain Causality Graph: A New Methodology for Modeling and Reasoning About Complex Faults with Negative Feedbacks [J]. IEEE Transactions on Reliability, 2018: 67(3): 920-932. IF排名：Computer Science, Software Engineering: 12/108.

[8] Zhenxu Zhou, Qin Zhang. Model event/fault trees with dynamic uncertain causality graph for better probabilistic safety assessment, IEEE Trans. Reliability, vol. 66, no. 1, pp 178-188, 2017. IF排名：Computer Science, Software Engineering: 12/108.

[9] Qin Zhang, Zhan Zhang. Dynamic uncertain causality graph applied to dynamic fault diagnoses and predictions with negative feedbacks, IEEE Trans. Reliability, vol. 65, no. 2, pp 1030-1044, 2016. IF排名：Computer Science, Software Engineering: 12/108.

[10] Dong C, Zhao Y, Zhang Q. Assessing the Influence of an Individual Event in Complex Fault Spreading Network Based on Dynamic Uncertain Causality Graph. IEEE Transactions on Neural Networks Learning Systems, 2016, 27(8):1615-1630. IF排名：Computer Science, Artificial Intelligence: 14/145.

[11] Qin Zhang, Shichao Geng. Dynamic uncertain causality graph applied to dynamic fault diagnosis of large and complex systems. IEEE Trans. Reliability, vol. 64, no. 3, pp 910-927, 2015. IF排名：Computer Science, Software Engineering: 12/108.

[12] Qin Zhang. Dynamic uncertain causality graph for knowledge representation and probabilistic reasoning: continuous variable, uncertain evidence and failure forecast, IEEE Trans. Systems, Man, and Cybernetics: Systems, vol. 45, no. 7, pp. 990-1003, 2015. IF排名：Computer Science, Theory & Methods: 8/100.

[13] Qin Zhang. Dynamic uncertain causality graph for knowledge representation and probabilistic reasoning: directed cyclic graph and joint probability distribution, IEEE Trans. Neural Networks and Learning Systems, vol. 26, no. 7, pp. 1503-1517, 2015. IF排名：Computer Science, Artificial Intelligence: 14/145.

[14] Qin Zhang, Chunling Dong, Yan Cui, Zhihui Yang. Dynamic uncertain causality graph for knowledge representation and probabilistic reasoning: statistics base, matrix and fault diagnosis, IEEE Trans. Neural Networks and Learning Systems, vol. 25, no. 4, pp. 645-663, 2014. IF排名：Computer Science, Artificial Intelligence: 14/145.

[15] Dong C, Wang Y, Zhang Q, et al. The methodology of Dynamic Uncertain Causality Graph for intelligent diagnosis of vertigo. Computer Methods and Programs in Biomedicine, 2014, 113(1): 162-174. IF排名：Computer Science, Theory & Methods: 20/112.

[16] Qin Zhang. Probabilistic reasoning based on dynamic causality trees/diagrams. Reliability Engineering & System Safety, 1994, 46(3):209-220. IF排名：Operations Research & Management Science: 8/86.

[17] Qin Zhang, Qizhi Mei. Element importance and system failure frequency of a 2-state system. IEEE Transactions on Reliability, vol. 34, no. 4, pp. 308-313, 1985 October. IF排名：Computer Science, Software Engineering: 12/108.

[18] Qin Zhang. A sequence of diagnosis and repair for a 2-state repairable system. IEEE Transactions on Reliability, vol. 36, no. 1, pp. 32-33, 1987 April. IF排名：Computer Science, Software Engineering: 12/108.

[19] Qin Zhang, Qizhi Mei. Reliability analysis for a real non-coherent system. IEEE Transactions on Reliability, vol. 36, no. 4, pp. 436-439, 1987 October. IF排名：Computer Science, Software Engineering: 12/108.

[20] Qin Zhang. A general method dealing with correlations in uncertainty propagation in fault trees. Reliability Engineering and System Safety, 26 (1989) 231-247. IF排名：Operations Research & Management Science: 8/86.

[21] Qin Zhang. A new approximate method for uncertainty propagation in system reliability analysis. Reliability Engineering and System Safety, 29 (1990) 261-275. IF排名：Operations Research & Management Science: 8/86.

[22] Qin Zhang. A new approximate method to calculate the time-specific unreliability of a repairable system. Reliability Engineering and System Safety, 31 (1990) 39-56. IF排名：Operations Research & Management Science: 8/86.

[23] Qin Zhang, David Okrent, George Apostolakis, S. Guarro. An expert system approach for fault diagnosis to cope with spurious sensor signals and process state uncertainty. Reliability Engineering and System Safety, 34 (1991) 121-142. IF排名：Operations Research & Management Science: 8/86.

[24] Qin Zhang. A method dealing with correlation in uncertainty propagation by using traditional correlation coefficients. Reliability Engineering and System Safety, 41 (1993) 107-114. IF排名：Operations Research & Management Science: 8/86.

[25] Qin Zhang. On the treatment of correlated normal and lognormal input variables in uncertainty propagation. Reliability Engineering and System Safety, 40 (1993) 93-96. IF排名：Operations Research & Management Science: 8/86.

[26] Qin Zhang, Xuegao An, Jin Gu, Binquan Zhao, Dazhi Xu & Shuren Xi. FBOLES - outline of a frequency-based on-line expert system approach for fault diagnoses in nuclear power plants. Reliability Engineering and System Safety, 40 (1993) 165-172. IF排名：Operations Research & Management Science: 8/86.

[27] Qin Zhang. Frequency and knowledge tree/causality diagram based expert system approach for fault diagnosis. Reliability Engineering and System Safety, 43 (1994) 17-28. IF排名：Operations Research & Management Science: 8/86.

[28] Qin Zhang, Henrique M. Paula, Jerry B. Fussell. Probabilistic safety analysis for standby systems with sequentially used standby components. Reliability Engineering and System Safety, 44 (1994) 67-76. IF排名：Operations Research & Management Science: 8/86.

[29] Qin Zhang, Jin Gu, Xuegao An, Binquan Zhao, Dazhi Xu, Shuren Xi. Application of FBOLES - a prototype expert system for fault diagnosis of nuclear power plants. Reliability Engineering and System Safety, 44 (1994) 225-235. IF排名：Operations Research & Management Science: 8/86.

中文核心期刊：

[1] 董春玲、张勤，“用于不确定性故障诊断的权重逻辑推理算法研究”，《自动化学报》，第40卷，第12期，第2766-2781页，2014年。

[2] 张勤，“对新一代人工智能的思考”，《智能系统学报》，2022，17（4），第660-660页。

[3] 张勤，“基于因果关系的人工智能”，《军事运筹与评估》，第37卷第2期，第5-9页。

[4] 张勤，“用原创的DUCG人工智能技术提高核电站的安全性和可用度”，中国核电，第11卷第1期，55-68页，2018年。

专著：

张勤，《知识产权基本原理》，知识产权出版社，ISBN 978-7-5130-1152-5，2012年4月。