学术交流

  • 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.
项目(Projects)

 主持项目:

  • 2017.1 ~ 2019.12  图像处理与分析中的数学方法,NSFC优秀青年基金项目
  • 2015.1 ~ 2018.12  图像细粒度识别的显著性特征学习算法研究, NSFC (国家自然科学基金面上项目)
  • 2013   ~ 2016        Program for New  Century Excellent Talents in University (教育部新世纪优秀人才支持计划)
  • 2011.1~ 201312  Research on Efficient Image/video Processing Algorithms Based on Visual Prior 自然科学基金青年项目, No. 61003144
  • 2012   ~ 2013        Image/video noise removal on mobile devices, 微软(Microsoft)高校合作项目

参加项目:

  • 国家973项目,2007CB311000,基于视觉认知的非结构化信息处理理论与关键技术,2007.10-2011.11

  • 国家973项目,2013CB329400,非结构化环境下的智能感知基础理论与关键技术 2013.1-2017.1

  • 国家自然科学基金重大研发项目,大数据的统计学基础与分析方法, 2017.1-2021.12

  • 国家自然科学基金重点项目,11131006,稀疏信息处理的数学理论与方法, 2013.1-2016.12 

 

专利(Patents)
名称 申请号 专利类型 申请日期
一种基于深度神经网络的压缩传感核磁共振成像方法 2016110247067发明 2016.11.15
一种基于深度神经网络的图像非均匀运动模糊去除方法 201510091585.7发明 2015.03.02
Strategies for extracting foreground information using flash/no-flash image pair US patent/065182发明 2008.11.01
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