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Zeng, Xiangyan

Department: 
Mathematics and Computer Science
Location: 
CTM 213
Phone: 
478-825-6528
Email: 
zengx@fvsu.edu

Professor, Department of Mathematics and Computer Science, Fort Valley State University, August 2008-present.
Postdoctoral Fellow, Department of Molecular & Cellular Biology, University of California at Davis, December 2005-July 2008.
Postdoctoral Fellow, Department of Electrical and Computer Engineering, California State University, Northridge, April 2004-December 2005.
Lecturer (part time), Department of Electrical and Computer Engineering, California State University, Northridge, January 2005-December 2005.
Lecturer, Department of Computer Science, Northwest Normal University, China,

Faculty Bio
Education: 

Ph.D. in Computer Science, University of the Ryukyus, Japan, 2004.

Publications: 

X.-Y. Zeng, M. Naghedolfeizi, S. Arora, N. Yousif, R. Gosukonda, and D. Aberra, “Illumination and Rotation Invariant Texture Representation”, in Proceedings of the 17th International Conference on Image Processing, Computer Vision, & Pattern Recognition, Las Vegas, July 2013.
X.-Y. Zeng, Y.-W. Chen, O. Hughes, and H. Stahlberg, “Iterative Transform Algorithms for 3D reconstruction of 2D Crystals,” Journal of Next Generation Information Technology, vol. 3, no.1, pp.28- 35, 2012.
X.-Y.Zeng, J.E. Glover, O. Hughes, and H. Stahlberg, “3D reconstruction of 2D Crystals,” in Proceedings of the 49th Annual Association for Computing Machinery Southeast Conference, March 2011.
X.-Y. Zeng, Y.-W. Chen, O. Hughes, and H. Stahlberg, “Preliminary Studies on Iterative Transform Algorithms for 3D Reconstruction of 2D Crystals,” in Proceedings of 2nd International Conference on Software Engineering and Data Mining, Chengdu, China, June 2010.
X.-Y. Zeng, Y.-W. Chen, and C.-X. Tao, “Denoising by Anisotropic Diffusion in ICA Subspace,” The Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kyoto, Japan, September, 2009.
X.-Y. Zeng, Y.-W. Chen, C.-X. Tao, and D. van Alphen, “Feature Selection using Recursive Feature Elimination for Handwritten Digit Recognition,” The Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Kyoto, Japan, September, 2009.
X.-Y. Zeng, H. Stahlberg, and N. Grigorieff, “A maximum likelihood approach to two-dimensional crystals,” Journal of Structural Biology, vol. 160, pp.362-274, 2007.
X.-Y. Zeng, B. Gibson, Z.-Y. Zhang, and H. Stahlberg, “Automatic Determination of Lattice for 2d Crystals,” Journal of Structural Biology, vol. 160, pp.353-361, 2007.
P.-L. Chiu, M. Pagel, J. Evans, H.-T. Chou, X.-Y. Zeng, B. Gipson, H. Stahlberg, and C. Nimigean, “The structure of the prokaryotic cyclic nucleotide-modulated potassium channel MloK1 at 16A resolution,” Structure, vol. 15, no. 9, pp.1031-1039, 2007.
B. Gibson, X.-Y. Zeng, Z.-Y. Zhang and H. Stahlberg, “2dx-User-friendly image processing for 2D crystals,” Journal of Structural Biology, vol.157, pp 64-72, 2007.
X.-W. Chen, X.-Y. Zeng, and D. van Alphen, “Multi-class feature selection for texture classification,” Pattern Recognition Letters, vol.27, no.14, pp.1685-1691, 2006.
X.-Y. Zeng and X.-W. Chen, “Pruning Based on SMO algorithm for Least Squares Support Vector Machines,” IEEE trans. on Neural Networks, vol.16, no.6, 2005.
X.-Y. Zeng, Y.-W. Chen, Z. Nakao and H.-Q. Lu, “Texture Representation Based on Pattern Map,” Signal Processing, vol. 84, no.3, pp.589-599, 2004
X.-Y. Zeng, Y.-W. Chen, Z. Nakao, J. Cheng and H.-Q. Lu, “Independent Component Analysis for Color Indexing,” The Transactions of the Institute of Electronics, Information and Communication Engineers of Japan (IEICE), vol. E87-D no.4, pp. 997-1003, 2004.
X.-Y. Zeng, Y.-W. Chen, and Z. Nakao, “Classification of Remotely Sensed Images Using Independent Component Analysis and Spatial Consistency,” Journal of Advanced Computational Intelligence and Intelligent Informatics, vol.8, no.2, pp. 216-222, 2004.

Research Interests: 

•Image Processing and Analysis: Noise Reduction, Texture Analysis
•Pattern Recognition: Feature Extraction and Selection by Statistical Analysis Techniques
•Machine Learning: Support Vector Machines, Neural Networks, Genetic Algorithms
•Electron Microscopy Image Processing and Analysis: 3D structure reconstruction from 2D crystals and single particles

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