Quan Wen
Professor
Computer Science and Technology
University of Electronic Science and Technology of China
China
Biography
Dr. Quan Wen received his B.S. degree in automatic control and M.S. degree in computer application from Sichuan University, China, and his Ph.D. degree in computer science and engineering from the University of Texas at Arlington in 2008. From 2008 to 2009, he worked as a Postdoc fellow at the Life Sciences Division of Lawrence Berkeley National Lab. Since June 2009, he has been working as an associated professor of the School of Computer Science and Engineering at the University of Electronic Science and Technology of China (UESTC). He is currently in the editor board of the International Journal of Biometrics and Bioinformatics (IJBB). He has severed as PC members in several international conferences and reviewed for several international journals and conferences. He has published more than 40 SCI and EI indexed papers in top international journals and conferences. His research has got funding supports from National Natural Science Foundation of China and NSF, NIH, DOE of USA. His research interests are Data Mining, Computer Vision, Biomedical Image Informatics, and Pattern Recognition.
Research Interest
Data Mining, Computer Vision, Biomedical Image Informatics, Pattern Recognition
Publications
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S. Gopinath, Q. Wen, N. Thakoor, K. luby Phelps, and J. Gao, “A statistical approach for intensity loss compensation of confocal microscopy images,†Journal of Microscopy, vol. 230, pp. 143-159, 2008.
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Q. Wen, J. Gao, and K. Luby-Phelps, “Tracking multiple interacting subcellular structure by sequential Monte Carlo method,†International Journal of Data Mining and Bioinformatics, vol. 3, no. 3, pp. 314-322, 2009.
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Q. Wen and M. E. Celebi, “Hard Versus Fuzzy C-Means Clustering for Color Quantization,†EURASIP Journal on Advances in Signal Processing, vol. 2011, no. 1, p. 118, Nov. 25, 2011. (IF:1.01)
