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孙剑

博士生导师
硕士生导师
职称:教授
教师姓名:孙剑
电子邮箱:
学历:硕博连读
性别:男
学位:博士
在职信息:在职
毕业院校:西安交通大学
所属院系:数学与统计学院
学科:数学
学术交流
  • ISICDM 2020,2020年12月

  • Workshop on AI & Mathematics,上海,2020年12月

  • 第十五届健康与发展中山论坛,2020年11月

  • 中国工业与应用数学学会年会,2020年10月

  • 基金委《医学图像计算中的数学理论与方法专题讲习班》,2020年8月

  • Valse, 2020年8月

  • NeurIPS, Canada, Dec., 2019

  • Workshop on Recent Advances in Theories and Applications of Data Science, sanya, Dec. 2019

  • 首届医学大数据与人工智能创新发展大会, 杭州, Oct., 2019

  • MICCAI, shenzhen, Oct. 2019

  • ISICDM国际会议Tutorial讲座,西安,August, 2019

  • 中国肿瘤人工智能专委会成立大会,重庆,August, 2019

  • 医学图像计算青年研讨会,苏州,July, 2019

  • International Workshop on Recent Advances on Mathematical Imaging and Data Science, SJTU, Shanghai, July, 2019

  • 天津大学、东软公司学术交流,June, 2019

  • GAMEs Webinar 讲座, April, 2019

  • Valse, 合肥,April, 2019

  • “CSIG图像图形中国行”,Chengdu, Dec. 22, 2018

  • PRCV 2018, Guangzhou, Nov. 24,2018

  • 机器学习与优化研讨会(ML&O 2018), Beijing, Oct. 26, 2018

  • ISICDM 2018, Chengdu, Oct. 14, 2018

  • 第一届全国大数据与人工智能科学大会, Chongqing, July, 2018

  • 图论、网络与人工智能优化算法研讨会,  xi'an, June, 2018

  • 中国运筹学会青年论坛,Chengdu, Oct. 28, 2017

  • 第五届CCF大数据学术会议,ShenZhen, Oct. 13, 2017.

  • 中国生物医学工程学会青年论坛,Qinhuangdao, August 6, 2017.

  • 山西大学”大数据分析与挖掘“暑期学校,July 18, 2017.

  • International Workshop on Remote Sensing with Intelligent Processing, Fudan Univ., Shanghai. May 19-21. 2017

  • 2017微软合作创研论坛,MSRA, Beijing, May 17-18, 2017.

  • The 2nd Conference on High-Dimensional Statistics in the Age of Big Data, Peking Univ., Beijing, May 14-16, 2017.

  • Department of Mathematics, Hong Kong Baptist University , March 23, 2017.

  • 2016 International Conference on Signal Processing, Optimization and Compressive Sensing, Nankai University, Tianjing, Dec. 18-20, 2016.

  • 第二届生物医学与多媒体计算青年学者论坛,Xi'an, Dec. 3, 2016

  • Deep Learning Approach for Model Learning in Image Analysis, 电子信息青年学者论坛,Xi'an, Nov. 13, 2016.

  • Deep Learning Approach for Model Learning in Image Analysis, International Conference in Big Data and Information Analytics, Changsha, Oct. 21, 2016

  • 图像处理与分析中的数学与统计学方法,第三届光华时间序列论坛,Xi’an, China, August 1, 2016.

  • Iterative optimization algorithms in image recovery are deep neural networks? Valse webinar, July, 2016.

  • Learning Markov Random Field Prior for Image Restoration, Emerging Trends in Applied Mathematics and Mechanics, Perpignan, France, June 1, 2016.

  • Iterative optimization algorithms in image recovery are deep neural networks? INRIA-Willow, Paris, France, May 27, 2016.

  • Discriminative Learning Models in Natural and Medical Image Analysis,西安交通大学−微软学术合作研讨会,April 8, 2016.

  • Discriminative Feature Learning Models for Image Restoration and Recognition. International Conference in Dig Data and Information Analytics, Xi'an, Oct. 21, 2015.

  • Learning Markov Random Field Prior for Image Restoration, 第八届国际工业与应用数学大会 (ICIAM),Beijing, August 12, 2015.