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）
科学是对真理的追求。当下，我们生活在一个复杂喧嚣的社会，追求真理的初衷未必能够贯彻始终，有时甚至可能迫于诱惑或压力，放弃了初衷，表现出跟风、浮夸、曲就、迎合、甚至奉承、造假。但这样是不可能获得真理的，即使获得了也难以坚持。作为清华人，作为国家和民族未来的栋梁，必须具有科学的坚守，坚守追求真理的初衷，敢于和愿意承担个人的损失。从长远来看，也只有这样，才能取得较大的科研成就。
2024年4月26日，“学在清华·真人图书馆”第62期活动将邀请张勤老师结合个人求学和科研经历，与师生共同探讨“科学的坚守”这一主题。
欢迎大家报名参加！
活动简介
主讲嘉宾
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
主持
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
时间
2024年4月26日（周五）
14:00-16:00
地点
清华大学图书馆北馆（李文正馆）
G层邺架轩
主办
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
协办
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
直播平台
学堂在线、荷塘雨课堂、清华大学官方微博、抖音、快手、哔哩哔哩、微信视频号、百家号（平台排序不分先后）
嘉宾介绍
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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张勤老师以通信作者身份发表的Q1区SCI论文：
[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。
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“学在清华·真人图书馆”系列活动简介
“读有故事的人，阅会行走的书。”
“学在清华·真人图书馆”系列活动由清华大学图书馆联合清华大学国家大学生文化素质教育基地、清华大学研究生会等单位共同举办。活动从一名好老师出发，以真人面对面、零距离沟通的形式让读者开展“真人图书”阅读，感悟做人做事做学问方式与方法。
“学在清华·真人图书馆”活动自2013年5月创办以来，已走过近11年的路程，成功举办了61场活动，邀请了朱克勤、薛其坤、戴海琼、戚学民、向隆万、危岩、张尧学、王君超、吕冀蜀、彭林、文志英、程原津、秦佑国、谢维和、王守清、冯务中、丁武将、胡鞍钢、徐贺云、吴国祯、梁贯成、魏刚、关肇邺、钱颖一、梁志刚、张曼菱、唐传祥、岳光溪、金峰、王有强、魏柯玲、金涌、倪维斗、刘国忠、高冀生、郝景芳、龙登高、游战洪、李纪琛、张大奕、张月姣、唐虔、张拯宁、阎学通、漆海霞、王亚愚、吴冠英、丘成桐、黄家林、李彬、金兼斌、刘惠芬、彭凯平，以及Theodore Scaltsas（英国爱丁堡大学教授）、Katie Peace（ROUTLEDGE资深编辑）、Edward Boateng（加纳驻中国大使馆大使）等一大批中外各领域的杰出人士作为嘉宾，通过广泛深入的对话主题、积极互动的活动现场、自由热烈的沟通氛围，成为清华的一张文化名片。
【了解“真人图书馆”】清华大学图书馆官方网站:https://lib.tsinghua.edu.cn/tjhd/zrtsg.htm
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排版 | 任琴
编辑 | 张岚
审核 | 蒋耘中