Jiamei Shuai(帅佳玫)
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Education

  • 2011–2014    Master, University of Chinese Academy of Sciences, Beijing, Top 5%.
                            Computer Vision, Machine Learning
  • 2007–2011    Bachelor, Huazhong University of Science and Technology, Wuhan, Top 8%.
                            Computer Science

Publications

Jiamei Shuai, Laiyun Qing, Jun Miao, Zhiguo Ma, and Xilin Chen. Salient region detection via texture suppressed background contrast. In International Conference on Image Processing, pages 417–424, 2013.

Experience

       Vacational

  • 2013.3–2013.6          Software Engineer Intern, Samsung Electronics.
            Responsible for the functionality of barcode recognition, error correction and decoding.
                   - Apply Image Processing algorithms to achieve barcode binarization, locate, rectify and read off bits;
                   - Use Reed Solomon algorithm to detect and correct errors;
                   - Speed up the decoding process by 20% over Zxing.
  • 2013/9–2013/12       Software Engineer Intern, Alibaba Inc.
            Participated in the development of Taobao Mobile Assistant Client.
                   - Responsible of the Feedback module, software packaging, etc.;
                   - Fix bugs based on windbg dump files;
                   - Utilized Duilib, Poco, sqlite, etc.
  • 2012–2013                Algorithm Engineer, Institute of Computing Technology, CAS.
            Automatic Image Salient Region Detection System (NFSC Project).
            Responsible for the algorithm design and engineering realization of the whole project.
                   - Achieves 7% higher performance over CVPR2012 and average F-measure of 88%;
                           -- Apply texture suppression and superpixel segmentation to preprocess the images;
                           -- Saliency of superpixels are defined as KNN distances with background;
                   - One paper[1] published on International Conference on Image Processing (ICIP2013).

      Miscellaneous

  • 2009–2010 Microsoft Technology Club of HUST, Vice-president.
  • 2007–2011 Vice-monitor of Class 0704 in School of Computer Science, HUST.

Languages

C, C++                                Experienced                                                                   3-5 years
Java, Matlab                         Familiar                                                                         2-3 years
Python                                 Familiar                                                                         1-2 years

Professional skills

Familiar with Data Structures and general Algorithms.
Participated in online ML and AI class and got top 5%.
Familiar with Statistical Machine Learning, Pattern Recognition, Image Processing and Computer Vision.

Awards

National Scholarship for Encouragement                                 Outstanding Graduates Awards(10%)
Merit Student Chinese Academy of Science                             Hubei Province Outstanding thesis(5%)
Microsoft Imagine Cup 2010 First Prize of China
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