Weichuan Yu 余维川 (Ph.D., University Kiel, 2001)

Description: Description: Description: ECE_YU_Weichuan_01


Department of Electronic and Computer Engineering,

The Hong Kong University of Science and Technology

Clear Water Bay, Kowloon, Hong Kong, China.


Tel/Fax: (852) 2358-7054/1485, E-mail: eeyu at ust dot hk




Ph.D. and Postdoctoral Associate positions in Bioinformatics, Computational Biology, and biomedical signal/image processing available. Please click here for detail.


Weichuan Yu received his Ph.D. degree in Computer Vision and Image Analysis from University Kiel, Germany in 2001. He was a postdoctoral associate at Yale University from 2001 to 2004 and a research faculty member in the Center for Statistical Genomics and Proteomics at Yale University from 2004 to 2006. Since August 2006, he has been on the faculty in the Department of Electronic and Computer Engineering at the Hong Kong University of Science and Technology. He is also affiliated with the Division of Biomedical Engineering at HKUST.

He is interested in computational analysis problems with biological and medical applications. He has published papers on a variety of topics including bioinformatics, computational biology, biomedical imaging, signal processing, pattern recognition and computer vision. His long term goal is to develop mathematical, computational, and statistical methods to address challenges in biological and medical data analysis.


Associate Editor,

Biology Direct, 2013 ---

Associate Editor,

BMC Bioinformatics, 2012 ---

Associate Editor,

Journal of Integrated OMICS, 2012 ---

Member of Editor Board,

Frontiers in Statistical Genetics and Methodology, 2010 ---

Guest Co-Editor,

Special Issue on "Statistical methods for proteomics",


Statistics and Its Interface, Vol. 5, No. 1, 2012.




Invited Talks

Group Webpage



Image and Video Signal Processing (Fall, 2012 and Spring, 2014)


Introduction to Bioinformatics Algorithms (Spring, 07/09/10/11/12/14/15/16)


Digital Image Processing (Fall, 2006/07/08/09/10/11/12/13/14)


Medical Imaging (Spring, 2008. Fall, 2016/17)