Faculty

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YU, Shiqi
Associate Professor
yusq@sustech.edu.cn


Research Area:

Computer vision, Biometrics

Educational Background

◆ Sep. 2002 – Nov. 2007, Ph.D. in pattern recognition and intelligent systems, National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
◆ Sep. 1998 – Jun. 2002, B.E. in computer science and engineering, Chu Kochen Honors College, Zhejiang University

Professional Experience

◆ Sep. 2019 - , Associate Professor, Department of Computer Science and Engineering, Southern University of Science and Technology
◆ Oct. 2010 - Aug. 2019, Associate Professor, College of Computer Science and Software Engineering, Shenzhen University
◆ Jan. 2010 - Sep. 2010, Associate Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
◆ Nov. 2007 - Jan. 2010, Assistant Professor, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences

Honors & Awards

◆ Best Practice Award in Teaching in 2018, College of Computer Science and Software engineering, Shenzhen University.
◆ Winner, International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images Analysis 2016
◆ Winner, International Contest on Pattern Recognition Techniques for Indirect Immunofluorescence Images Analysis 2013

Selected Publication

1. Shiqi Yu*, Rijun Liao, Weizhi An, Haifeng Chen, Edel B. Garcia, Yongzhen Huang and Norman Poh, "GaitGANv2: Invariant Gait Feature Extraction Using Generative Adversarial Networks". Accepted by Pattern Recognition. (IF2017=3.962)
2. Yuexiang Li, Linlin Shen, Shiqi Yu, "HEp-2 Specimen Image Segmentation and Classification Using Very Deep Fully Convolutional Network," in IEEE Transactions on Medical Imaging , 36 (7), 2017, 1561-1572(IF2017= 6.131)
3. Shiqi Yu*, Haifeng Chen, Qing Wang, Linlin Shen, Yongzhen Huang, Invariant feature extraction for gait recognition using only one uniform model, Neurocomputing, Volume 239, 24 May 2017, Pages 81–93. (IF2017= 3.241)
4. Shiqi Yu, Sen Jia*, and Chunyan Xu. Convolutional Neural Networks for Hyperspectral Image Classification, Neurocomputing, volume 219, Pages 88-98, January 2017. (IF2017= 3.241, Highly Citation Paper)
5. Linlin Shen, Jiaming Lin, Shengyin Wu, and Shiqi Yu*. "HEp-2 Image Classification Using Intensity Order Pooling Based Features and Bag of Words". Pattern Recognition, Volume 47, Issue 7, July 2014, Pages 2419–2427. (IF2017=3.962)
6. Shiqi Yu, Tieniu Tan, Kaiqi Huang, Kui Jia, and Xinyu Wu. “A Study on Gait based Gender Classification“, IEEE Transactions on Image Processing, vol.18, no.8, pp.1905-1910, Aug. 2009. (IF2017=5.071)

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