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CS:Quan Wen

published: 2015-12-09 21:17:18       hits: 

name : Quan Wen Gender: Male phone: 13982283519
email: quanwen@uestc.edu.cn office-address: Room B1-601, Main Building, QingShuiHe Campus
PH.D  Supervisor: No Master Supervisor: Yes
major: Computer Science and Engineering
research interst: Data Mining, Computer Vision, Biomedical Image Informatics, Pattern Recognition
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. 
Education experience: Sichuan University, China, Automatic Control, B.S. (1990-1994)
Sichuan University, China, Computer Application, M.S.(1994-1997)
University of Texas at Arlington, USA, Computer Science and Engineering, Ph.D.(2003-2008)
Lawrence Berkeley National Lab, USA, Postdoc Fellow (2008-2009)
Selected Publications: Journals

(1) 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)

(2) 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.

(3) 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.


Book Chapter
(4) M. Emre Celebi, QuanWen, Sae Hwang, and Gerald Schaefer, “Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm,” Color Medical Image Analysis, Springer, pp. 87-107, 2013.


Conference
 

(5) Quan Wen, Wenming Qu, Juan Chen, Mutlu Mete, “A Novel Method for Counting Subcellular Structures Labeled by Green Fluorescent Protein,” 2012 3rd International Conference on Computation Problem-Solving, 19-21 October 2012, Leshan China, pp. 500-503.

(6) Juan Chen, Quan Wen, Chenglong Zhuo, Mutlu Mete, “Extraction of Color Entropy Sequence for Micro-vessel Detection in Virtual Slide,” 2012 5th International Congress on Image and Signal Processing, 16-18 October 2012, Chongqing, China, pp. 1028-1032.

(7) M. E. Celebi, Q. Wen, G. Schaefer, and H. Zhou, “Batch Neural Gas with Deterministic Initialization for Color Quantization,” in 6 th Proc. Int. Conf. on Computer Vision and Graphics (ICCVG 2012), L. Bolc et al. (eds.), “Computer Vision and Graphics”, Lecture Notes in Computer Science, LNCS Vol. 7594, Springer, Sep.  24–26, 2012, pp. 48-54.

(8) M. E. Celebi, Q. Wen, and J. Chen, "Color Quantization Using C-Means Clustering Algorithms," in Proceedings of 18th IEEE International Conference on Image Processing (ICIP 2011), Brussels, Belgium, Sep. 11-14, 2011, pp. 1729–1732.

(9) Q. Wen, M. E. Celebi, and G. Schaefer, “A Comparative Study of K-Means and Fuzzy C-Means for Color Reduction,” in proceedings of 2011 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV’11), Oral, Las Vegas, Nevada, US, July 18-21, 2011. (Oral)

(10) Q. Wen, J. Gao, and K. Luby-Phelps, “Tracking Variable Number of Multiple Subcellular Structures in 3D,” in proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC2009), Minneapolis, MN, Sep. 2-6, pp. 1465-1468.

(11) Q. Wen, H. Chang, and B. Parvin, “Delaunay triangulation approach for segmenting clumps of nuclei”, in proceedings of IEEE International Symposium on Biomedical Imaging: From Nano to Macro, (ISBI '09). June 2009, pp. 9-12, Boston, MA

(12) Q. Wen, J. Gao, and K. Luby-Phelps, “Multiple interacting subcellular structure tracking by sequential Monte Carlo method,” in proceedings of IEEE International Conference on Bioinformatics and Medicine (BIBM2007), Silicon Valley, Nov. 2007, pp. 437-442.

(13) Q. Wen and J. Gao, “Tracking interacting subcellular structures by sequential Monte Carlo method,” in proceedings of IEEE International Conference of Engineering in Medicine and Biology Society (EMBC2007), Lyon, France, 22-26 Aug. 2007, pp. 4185-4188.

(14) Q. Wen, J. Gao, and K. Luby-Phelps, “Markov chain Monte Carlo data association for merge and split detection in tracking protein clusters,” in proceedings of IEEE International Conference on Pattern Recognition (ICPR2006) (15% oral acceptance rate), vol. 1, Hong Kong, 2006, pp. 1030-1033.

(15) N. Thakoor, S. Jung, Q. Wen, and J. Gao, “Occlusion resistant shape classifier based on warped optimal path matching,”  in proceedings of IEEE International Conference on Pattern Recognition (ICPR 2006) ) (15% oral acceptance rate), Hong Kong, Aug. 2006, pp. 60-63.

(16) Q. Wen, J. Gao, and K. Luby-Phelps, “Feature selection, matching, and evaluation for subcellular structure tracking,” in proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC 2006), NYC, Aug. 2006, pp. 3013-3016.

(17) Q. Wen, Jean Gao, and K. Luby-Phelps, “Region-based tracking of protein compounds,” in proceedings of IEEE International Symposium on Biomedical Imaging (ISBI 2006), VA, April 2006. pp. 574-577.

(18) Q. Wen, J. Gao, A. Kosaka, H. Iwaki, H, K. Luby-Phelps, and D. Mundy, “A particle filter framework using optimal importance function for protein molecules tracking,” in proceedings of IEEE International Conference on Image Processing  (ICIP 2005), Sept. 2005, Vol. 1, pp. 1161- 1164.

(19) Q. Wen and J. Gao,  “Shape-based 3D vascular tree extraction for perforator flaps,” in proceedings of SPIE on Medical Imaging, vol. 5747, 2005,  pp. 1855-1863.

(20) J. Gao and Q. Wen, “Automatic 3D vascular tree construction of perforator flaps for plastic surgery planning,” in proceedings of IEEE International Conference of the Engineering in Medicine and Biology Society (EMBC 2004), San Francisco, CA. Sep. 2004, pp.3424-3427.