Language : English
  • Personal Information

    School/Department:Computer Science and Engineering

    Education Level:With Certificate of Graduation for Doctorate Study

    Business Address:新校区信息楼429


    Degree:Doctoral Degree in Engineering


    Alma Mater:北京交通大学

    Discipline:Computer Science and Technology

  • Profile

    2021年6月毕业于北京交通大学信息科学研究所,2019年9月至2020年10月在美国密苏里大学哥伦比亚分校访学, 2021年9月入职中南大学。主要研究方向为计算机视觉、机器学习、深度学习和人工智能,在IEEE TIP和CVPR等国际期刊和会议上发表论文二十余篇。曾获2022年北京图象图形学学会优秀博士学位论文奖、OpenHW 2015 开源硬件与嵌入式计算大赛全国一等奖、2017年“ 华为杯”第十四届中国研究生数学建模竞赛全国二等奖、2012 年全国大学生数学建模竞赛北京市一等奖、2013年美国大学生数学建模竞赛国际二等奖、博士研究生国家奖学金等。



    [1]Shichao Kan, Yigang Cen, Yang Li, Mladenovic Vladimir, Zhihai He, Local Semantic Correlation Modeling over Graph Neural Networks for Deep Feature Embedding and Image Retrieval [J]:IEEE Transactions on Image Processing (TIP), 2022, 31:2988-3003.(CCF A类, 2021 IF: 10.856

    [2]Shichao Kan, Yigang Cen, Yang Li, Vladimir Mladenovic, Zhihai He, Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning [C]: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 13994-14003. (CCF A类

    [3]Shichao Kan, Yi Cen, Yigang Cen, Mladenovic Vladimir, Yang Li, Zhihai He, Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval [J]: IEEE Transactions on Image Processing (TIP), 2021, 30: 501-516. (CCF A类, 2021 IF: 10.856)

    [4]Shichao Kan, Linna Zhang, Zhihai He, Yigang Cen, Shiming Chen, Jikun Zhou, Metric learning-based kernel transformer with triplets and label constraints for feature fusion [J]: Pattern Recognition (PR), 2020. (CCF B类, 2021 IF: 7.74)

    [5]Shichao Kan, Yigang Cen, Zhihai He, Zhi Zhang, Linna Zhang, Yanhong Wang, Supervised deep feature embedding with handcrafted feature [J]: IEEE Transactions on Image Processing (TIP), 2019, 28 (12) : 5809-5823. (CCF A类, 2021 IF: 10.856

    [6]Yang Li, Shichao Kan, Jianhe Yuan, Wenming Cao, Zhihai He, Spatial Assembly Networks for Image Representation Learning [C]: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, 13994-14003. (CCF A类

    [7]Yang Li, Shichao Kan, Wenming Cao, Zhihai He, Learned Model Composition With Critical Sample Look-Ahead for Semi-Supervised Learning on Small Sets of Labeled Samples [J]: IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020, 9(31)3444-3445. (CCF B类

    [8]Yang Li, Shichao Kan, Zhihai He, Unsupervised deep metric learning with transformed attention consistency and contrastive clustering loss [C]: European Conference on Computer Vision (ECCV), 2020, 141-157. (CCF B类

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  • Education Background

    [1]  2016.9- 2021.6
    北京交通大学 | 信号与信息处理 | With Certificate of Graduation for Doctorate Study | Doctoral Degree in Engineering
    [2]  2019.9- 2020.10
    美国密苏里大学哥伦比亚分校 | 图像和视频处理 | 联合培养博士
    [3]  2014.9- 2016.6
    北京交通大学 | 电子与通信工程 | Master's degree | Master's degree
    [4]  2010.9- 2014.6
    北京交通大学 | 计算机科学与技术 | Undergraduate (Bachelor’s degree) | Bachelor's degree
  • Work Experience

    [1]  2021.9- Now
    中南大学 | 计算机学院 | 讲师
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