项目(Projects)

 主持项目:

  • 2020.1 ~ 2023.12  扩散模型驱动的图结构深度学习方法及其应用研究, NSFC面上项目
  • 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 

 

学术交流

  • 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.
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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