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西北工业大学控制科学与工程招收博士生、硕士生(长期有效)

2020-07-16 18:19:50 92 中国考研网

西北工业大学控制科学与工程招收博士生、硕士生(长期有效)

  2020年的考研院校初试成绩已陆续公布,相关院校每天都在更新考研调剂信息,需要调剂的小伙伴一定要认真阅读,努力调剂到自己理想的考研院校,考研调剂栏目为小伙伴整理了“西北工业大学控制科学与工程招收博士生、硕士生(长期有效)”的内容,希望每一个考生都能一研为定!

  一、考研调剂信息介绍

  1. 招生类型:博士研究生、硕士研究生

  2. 研究方向:机器学习、数据挖掘、生物信息学、医学图像处理等计算机和医学交叉方向

  3. 杜磊课题组简介(https://teacher.nwpu.edu.cn/person/2016010033)

  杜磊以第一作者发表学术论文30余篇,包括领域顶级期刊bioinformatics、media、ieee tmi等,撰写英文著作章节1篇。担任bioinformatics、tmi、media、bib、hbm等多个知名学术期刊独立审稿人。课题组提供宽松的科研环境,欢迎有志从事机器学习算法及医学应用交叉领域研究的学子联系报考(dulei@nwpu.edu.cn)。

  已发表的代表性论文:

  [1]  lei du*, kefei liu, xiaohui yao, shannon l. risacher, junwei han, andrew j. saykin, lei guo, li shen*. detecting genetic associations with brain imaging phenotypes in alzheimer's disease via a novel structured scca approach. medical image analysis. volume 61, 101656, 2020. (影响因子:11.14)

  [2]  lei du*, fang liu, kefei liu, xiaohui yao, shannon l. risacher, junwei han, andrew j. saykin, li shen*. associating multi-modal brain imaging phenotypes and genetic risk factors via a dirty multi-task learning method. ieee transactions on medical imaging (if = 7.82, top journal). early access, may, 2020. doi: 10.1109/tmi.2020.2995510.  (影响因子:6.69)

  [3]  lei du*, fang liu, kefei liu, xiaohui yao, shannon l. risacher, junwei han, lei guo, andrew j. saykin, li shen*. identifying diagnosis-specific genotype-phenotype associations via joint multi-task sparse canonical correlation analysis and classification. bioinformatics (if = 5.61, top journal). [ismb 2020 issue, 19.4% acceptance rate], july 1, 2020. doi: 10.1093/bioinformatics/btaa434. (影响因子:5.61)

  [4]  lei du*, kefei liu, lei zhu, xiaohui yao, shannon l. risacher, lei guo, andrew j. saykin, li shen*. identifying progressive imaging genetic patterns via multi-task sparse canonical correlation analysis: a longitudinal study of the adni cohort. bioinformatics (if = 5.41, top journal). [ismb/eccb 2019 issue, 18.9% acceptance rate]. july, 2019. doi: 10.1093/bioinformatics/btz320. (影响因子:5.61)

  [5]  lei du, kefei liu, tuo zhang, xiaohui yao, jingwen yan, shannon l. risacher, junwei han, lei guo, andrew j. saykin, li shen*. a novel scca approach via truncated l1-norm and truncated group lasso for brain imaging genetics. bioinformatics: 2018,34(2), pp. 278-285. (影响因子:5.61)

  [6]  lei du, heng huang, jingwen yan, sungeun kim, shannon l. risacher, mark inlow, jason h. moore, andrew j. saykin, li shen*. structured sparse canonical correlation analysis for brain imaging genetics: an improved graphnet method. bioinformatics: 2016, 32(10), pp.1544-1551 (影响因子:5.61)

  [7]  lei du*, kefei liu, xiaohui yao, shannon l. risacher, junwei han, lei guo, andrew j. saykin, li shen. fast multi-task scca learning with feature selection for multi-modal brain imaging genetics. ieee international conference on bioinformatics and biomedicine (bibm). madrid, spain, december 3-6, 2018. (best paper award)

  以上内容就是考研调剂栏目为各位小伙伴整理的,内容转载自小木虫论坛。希望每个小伙伴都能认真选择、调剂上岸,十年寒窗,在此一搏!


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