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    袁彩虹

    日期:2019年02月28日


    教师信息


    姓 名

    袁彩虹

    性 别

    undefined

    职 称

    校聘副教授

    办公电话

    23883088

    电子信箱

    yuanch@henu.edu.cn

    系室分类

    数据科学系

    个人主页

    暂未填写


    研究方向



    模式识别

    深度学习


    教育及工作经历  



    1、 本科:1999-2003 河南大学   计算机与信息工程学院 计算机科学与技术专业
      2、 硕士:2006-2009 河南大学 计算机与信息工程学院   应用数学专业
      3、 博士:2014- 2019 华中科技大学 计算机应用技术专业   博士
      4、 工作:2003年至今


    社会及学术兼职  



     暂未填写


    奖励及荣誉



    1、2009年 《数据结构》精品课程建设理论探讨与研究   校级教学改革成果二等奖
      2、2011年 河南大学教学质量竞赛一等奖


    主讲课程



    数据结构,编译原理


    论文著作



     

    1. Caihong Yuan, Chunyan Xu, Tianjiang Wang, Fang Liu, Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Deep multi-instance learning for end-to-end person re-identification[J], Multimedia Tools & Applications, 2018, 77(10): 12437-12467.  (SCI,3区).

    2. Caihong Yuan, Jingjuan Guo, PingFenga Zhiqiang Zhao, Chunyan Xu, Tianjiang Wang, Gwangmin Choe, Kui Duan, A jointly learned deep embedding for person re-identification[J],  Neurocomputing, 2019, 330: 127-137.  (SCI,2区).

    3. Caihong Yuan, Jingjuan Guo, Ping Feng, Zhiqiang Zhao, Yihao Luo, Chunyan Xu, Tianjiang Wang, Kui Duan: Learning deep embedding with mini-cluster loss for person re-identification. Multimedia Tools Appl. 78(15): 21145-21166 (2019) (SCI,3区)

    4. Jingjuan Guo, Caihong Yuan, Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Bi-branch deconvolution-based convolutional neural network for image classification[J]. Multimedia Tools & Applications, 2018, 77(23): 30233-30250. (SCI,3区).

    5. Gwang-Min Choe, Caihong Yuan, Tianjiang Wang, Qi Feng, Gyong-Il Hyon, Chun-Hwa Choe, Jonghwan Ri, Gumhyok Ji, Combined salience based person re-identification [J]. Multimedia Tools & Applications, 2016, 75(18): 11447-11468. (SCI,3区).

    6. Zhiqiang Zhao, Ping Feng, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Fang Liu, Zhijian Zhao, Zongmin Cui, Bin Wu, A hybrid tracking framework based on kernel correlation filtering and particle filtering[J], Neurocomputing, 2018, 297: 40-49. (SCI,3区)

    7. Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Jingjuan Guo, Caihong Yuan, Tianjiang Wang, Kui Duan, A deep features based generative model for visual tracking[J], Neurocomputing, 2018, 308: 245-254. (SCI,2区).

    8. Ping Feng, Chunyan Xu, Zhiqiang Zhao, Fang Liu, Caihong Yuan, Tianjiang Wang, Kui Duan, Sparse Representation Combined with Context Information for Visual Tracking[J], Neurocomputing, 2017, 225: 92-102. (SCI,2区).

    9. Zhiqiang Zhao, Tianjiang Wang, Fang Liu, G Chao, Caihong Yuan, Zongmin Cui, Remarkable local resampling based on particle filter for visual tracking[J], Multimedia Tools & Applications, 2017, 76(1): 835-860.  (SCI,3区)

    10. Zhiqiang Zhao, Ping Feng, Tianjiang Wang, Fang Liu, Caihong Yuan, Jingjuan Guo, Zhijian Zhao, Zongmin Cui, Dual-scale structural local sparse appearance model for robust object tracking[J]. Neurocomputing, 2017, 237: 101-113. (SCI,3区)

    11. Gwang-Min Choe, Chun-Hwa Choe, Tianjiang Wang, Hyo-Son So, Cholman Nam, Caihong Yuan:Deep learning with particle filter for person re-identification. Multimedia Tools Appl. 78(6): 6607-6636 (2019) (SCI,3区)

    12. Chun-Hwa Choe, Gwang-Min Choe, Tianjiang Wang, Sokmin Han, Caihong Yuan:

    13. Deep feature learning with mixed distance maximization for person Re-identification. Multimedia Tools Appl. 78(19): 27719-27741 (2019) (SCI,3区)

     


    科研项目



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    专    利



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