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Xiaofan Zhang

37 XueYuan Rd, Beihang University (BUAA), Beijing, P.R.China, 100191
ZhangXiaofan101@gmail.com    +86-152-1096-8030

 

EDUCATION

Beihang University(BUAA) 2009.9 - 2013.7

B.E. in School of Automation Science and Electrical Engineering(ASEE)

RESEARCH INTEREST

Computer Vision, Machine Learning, Medical Image Analysis

RESEARCH EXPERIENCE

2012.7 — present    Research Intern
Imaging and Data Processing for Emerging Markets Group, Siemens Corporate Technology, Beijing, China
  Advisor: Tian Shen(research scientist)
  Topic: Urine Sediment Analysis

2011.9 — present    Research Student
Intelligent Computing and Machine Learning Lab, Beihang University, Beijing, China
  Advisor: Prof. Zengchang Qin(Associate Professor)
  Topic: Image Retrieval, Object recognition

PROJECTS

ObjColor
  • Colors of Object

    •   2012.8-present

      Intelligent Computing and Machine Learning Lab, ASEE, Beihang University

    An interesting idea, learning color composition of objects with proper color representation and saliency detection.

    [Download Dataset]


    UrineSediment
  • Urine Sediment Analysis

    •   2012.7-present

      Imaging and Data Processing for Emerging Markets Group, Siemens Corporate Technology

    Classify particles in urine sediment with proper color and texture features. We also proposed a new retrieval method based on random forest.



    Retrieval
  • Image Retrieval

    •   2012.1-present

      Intelligent Computing and Machine Learning Lab, ASEE, Beihang University

    Improved the feature named bag-of-colors and proposed a new method to combine local color feature and texture feature.


    Ultrasound
  • Ultrasound Image

    •   2011.10-2012.1

      Intelligent Computing and Machine Learning Lab, ASEE, Beihang University

    Classify benign and malignant breast tumors. Combined HOG and several low level features together and tried some feature selection techniques.



    Health
  • Health Service Software

    •   2010.10-2011.3

      Robotic Institute, School of Mechanical Engineering and Automation, Beihang University

    Software written in C# which was designed for the elderly to improve the quality of their daily lives.

    AWARD

    • Honorable Mention(first 40% global), Mathematical Contest In Modeling(MCM), USA 2012

    SKILLS

    • Proficient in C/C++, matlab;
    • Proficient in Linux;
    Copyleft © 2011

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