基本信息
吴琼莉  女  硕导  中国科学院精密测量科学与技术创新研究院
电子邮件: wuqiongli@wipm.ac.cn
通信地址: 中国科学院武汉物理与数学研究所
邮政编码:

招生信息

   
招生专业
070104-应用数学
071400-统计学
招生方向
敏感性分析,数据分析与统计计算,生物建模

教育背景

2008-10--2012-03   巴黎中央理工   博士
2005-09--2013-11   武汉大学   博士
2003-09--2005-06   武汉大学   硕士
1999-09--2003-06   武汉大学   学士

工作经历

   
工作简历
2012-04~2014-03,巴黎中央理工(Ecole Centrale Paris), 法国国家农业研究中心(INRA Centre de Recherche de Ver-sailles-Grignon), 博士后

教授课程

系统风险分析/Ecole Centrale Pékin (北京航空航天大学)

出版信息

   
发表论文
[1] Wu, Chunxue, Wang, Cheng, Fan, Qingfeng, Wu, Qiongli, Xu, Sheng, Xiong, Neal N. Design and Analysis of an Data-Driven Intelligent Model for Persistent Organic Pollutants in the Internet of Things Environments. IEEE ACCESS[J]. 2021, 9: 13451-13463, https://doaj.org/article/9a7e96c51ee04a6daa60ea3d7dd0a590.
[2] Saltelli, Andrea, Jakeman, Anthony, Razavi, Saman, Wu, Qiongli. Sensitivity analysis: A discipline coming of age. ENVIRONMENTAL MODELLING & SOFTWARE[J]. 2021, 146: [3] Andrea Saltelli, Ksenia Aleksankina, William Becker, Pamela Fennell, Federico Ferretti, Niels Holst, Sushan Li, Qiongli Wu. Why so many published sensitivity analyses are false: A systematic review of sensitivity analysis practices. Environmental Modelling and Software. 2019, 114: 29-39, http://dx.doi.org/10.1016/j.envsoft.2019.01.012.
[4] 刘欢, 吴琼莉, Cournede Paul Henry. 不同抽样算法对Sobol敏感性分析影响的研究. 数学物理学报:A辑[J]. 2018, 38(2): 372-384, http://lib.cqvip.com/Qikan/Article/Detail?id=674996872.
[5] Jiang, Hangjin, Wu, Qiongli. ROBUST DEPENDENCE MEASURE FOR DETECTING ASSOCIATIONS IN LARGE DATA SET. ACTA MATHEMATICA SCIENTIA[J]. 2018, 38(1): 57-72, http://lib.cqvip.com/Qikan/Article/Detail?id=674545476.
[6] Mathieu, Amelie, Vidal, Tiphaine, Jullien, Alexandra, Wu, QiongLi, Chambon, Camille, Bayol, Benoit, Cournede, PaulHenry. A new methodology based on sensitivity analysis to simplify the recalibration of functional-structural plant models in new conditions. ANNALS OF BOTANY[J]. 2018, 122(3): 397-408, https://www.webofscience.com/wos/woscc/full-record/WOS:000442923400007.
[7] 蒋杭进, 尚妍, 吴琼莉. 相依性度量的比较研究. 数学物理学报:A辑[J]. 2017, 37(5): 931-949, http://lib.cqvip.com/Qikan/Article/Detail?id=673695326.
[8] Fan Qingfeng, Zeitouni Karine, Xiong Naixue, Wu Qiongli, Camtepe Seyit, Tian YuChu. Nash Equilibrium-Based Semantic Cache in Mobile Sensor Grid Database Systems. IEEE Transactions on Systems, Man, and Cybernetics: Systems[J]. 2017, https://www.webofscience.com/wos/woscc/full-record/WOS:000411097600010.
[9] Fan, Qingfeng, Xiong, Naixue, Zeitouni, Karine, Wu, Qiongli, Vasilakos, Athanasios, Tian, YuChu. Game balanced multi-factor multicast routing in sensor grid networks. INFORMATION SCIENCES[J]. 2016, 367: 550-572, http://dx.doi.org/10.1016/j.ins.2016.06.049.
[10] Wu Qiongli. A comprehensive methodology of global sensitivity analysis for complex mechanistic model: with an application to plant growth. Ecological complexity. 2014, [11] Wu Qiongli. A comprehensive global sensitivity analysis for biological model diagnosis and parameterization: application to the NEMA model. Seventh International Workshop on Functional-Structural Plant Models. 2013, [12] Wu Qiongli. Assessment of Interactions in Complex Mechanistic Models using Global Sensitivity Analysis. International Conference "Interactions in Complex Systems". 2013, [13] Wu Qiongli. Sensitivity Analysis for Plant Models with Correlated Parameters: Application to the Characterization of Sun flower Genotypes. 7th International Conference on Sensitivity Analysis of Model Output. 2013, [14] Cournede, P H, Chen, Y, Wu, Q, Baey, C, Bayol, B. Development and Evaluation of Plant Growth Models: Methodology and Implementation in the PYGMALION platform. MATHEMATICAL MODELLING OF NATURAL PHENOMENA[J]. 2013, 8(4): 112-130, http://dx.doi.org/10.1051/mmnp/20138407.
[15] Qiong-Li Wu, Paul-Henry Cournède, Amélie Mathieu. An efficient computational method for global sensitivity analysis and its application to tree growth modelling. Reliability Engineering and System Safety. 2012, 107: 35-43, http://dx.doi.org/10.1016/j.ress.2011.07.001.
发表著作
(1) 全局敏感性分析, 清华大学出版社, 2018-03, 第 1 作者

科研活动

   
科研项目
( 1 ) 互相关输入全局敏感度分析的生物模型诊断方法, 主持, 市地级, 2015-08--2017-08
( 2 ) 基于物联网的农产品质量安全追溯系统风险评估与控制, 主持, 省级, 2016-03--2018-03
( 3 ) 基于植物模型互相关输入全局敏感性分析的基因型-环境互作研究, 主持, 国家级, 2017-01--2019-12
参与会议
(1)A new method of network clustering based on second-order sensitivity index, oral presentation   吴琼莉   2016-11-30
(2)Biophysical diagnosis for NEMA model using a comprehensive methodology of global sensitivity analysis   吴琼莉   2016-11-07
(3)Global Sensitivity analysis for parameter estimation in plant modelling.   吴琼莉   2014-07-21
(4)Sensitivity Analysis for Plant Models with Correlated Parameters: Application to the Characterization of Sun flower Genotypes   吴琼莉   2013-07-01
(5)Assessment of Interactions in Complex Mechanistic Models using Global Sensitivity Analysis   吴琼莉   2013-06-17
(6) A comprehensive global sensitivity analysis for biological model diagnosis and parameterization: application to the NEMA model   吴琼莉   2013-06-09

指导学生

已指导学生

刘欢  硕士研究生  085208-电子与通信工程  

余菲  硕士研究生  070104-应用数学  

程序  硕士研究生  070104-应用数学  

张芯  硕士研究生  070104-应用数学  

徐忠明  硕士研究生  070104-应用数学  

现指导学生

陈瀚钊  硕士研究生  070104-应用数学