EXPERIENCE 2014- Professor 2010-2014 Lecturer School of Computer and Software,University of Information Science and Technology, Nanjing, China 2011-2013 Research Associate Electrical and Computer Engineering Computer Vision and Sensing Systems, University of Windsor Advisor: Dr. Q.M. Jonathan Wu (Canada Research Chair: Tire 1)

EDUCATION 2007-2010 Ph.D. in Computer Science Laboratory of Image Science and Technology, Southeast University Advisor: Dr. Huazhong Shu 2003-2006 M.S. in Biomedical Engineering, Southeast University 1999-2003 B.S. in Radio Engineering, Southeast University

Clustering, Image segmentation, Degraded image analysis, Geometric transformation, Image watermarking, Pattern recognition.

Thanh Minh Nguyen, Q. M. Jonathan Wu and Hui Zhang, Asymmetric Mixture Model with Simultaneous Feature Selection and Model Detection, IEEE Transaction on Neural Networks and Learning Systems, vol. 26, no. 2, pp. 400-408, 2015.

Hui Zhang, Tian Wen, Yuhui Zheng, Danhua Xu, Dingcheng Wang, Thanh Minh Nguyen and Q. M. Jonathan Wu, Two Fast and Robust Modified Gaussian Mixture Models Incorporating Local Information for Image Segmentation, Journal of Signal Processing Systems, vol. 81, no. 1, pp. 45-58, 2015.

Yuhui Zheng, Byeungwoo Jeon, Danhua Xu, Q. M. Jonathan Wu and Hui Zhang*, Image Segmentation by Generalized Hierarchical Fuzzy C-Means Algorithm, Journal of Intelligent and Fuzzy Systems, vol. 28, no. 2, pp. 961-973, 2015.

Hui Zhang, Q. M. Jonathan Wu, Thanh Minh Nguyen and Xingmin Sun, Synthetic Aperture Radar Image Segmentation by Modified Student’s t-Mixture Model, IEEE Transaction on Geoscience and Remote Sensing, vol. 52, no. 7, pp. 4391-4403, 2014.

Thanh Minh Nguyen, Q. M. Jonathan Wu and Hui Zhang, Bounded Generalized Gaussian Mixture Model, Pattern Recognition, vol. 47, no. 9, pp. 3132-3142, 2014.

Hui Zhang, Q. M. Jonathan Wu, Yuhui Zheng, Thanh Minh Nguyen and Dingcheng Wang, Effective Fuzzy Clustering Algorithm with Bayesian Model and Mean Template for Image Segmentation, IET Image Processing, vol. 8, no. 10, pp. 571-581, 2014.

Hui Zhang, Q. M. Jonathan Wu and Thanh Minh Nguyen, Image Segmentation by Dirichlet Process Mixture Model with Generalized Mean, IET Image Processing, vol. 8, no. 2, pp. 103-111, 2014.

Xiubin Dai, Hui Zhang, Tianliang Liu, Huazhong Shu and Limin Luo, Legendre moment invariants to blur and affine transformation and their use in image recognition, Pattern Analysis & Applications, vol. 17, no. 2, pp. 311-326, 2014.

Thanh Minh Nguyen, Q. M. Jonathan Wu, Dibyendu Mukherjee and Hui Zhang, A Bayesian Bounded Asymmetric Mixture Model with Segmentation Application, IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 1, pp. 109-119, 2014.

Hui Zhang, Q. M. Jonathan Wu and Thanh Minh Nguyen, Incorporating Mean Template into Finite Mixture Model for Image Segmentation, IEEE Transaction on Neural Networks and Learning Systems, vol. 24, no. 2, pp. 328-335, 2013.

Hui Zhang, Q. M. Jonathan Wu and Thanh Minh Nguyen, A Robust Fuzzy Algorithm based on Student's t-distribution and Mean Template for Image Segmentation Application, IEEE Signal Processing Letters, vol. 20, no. 2, pp. 117-120, 2013.

Thanh Minh Nguyen, Q. M. Jonathan Wu, Dibyendu Mukherjee and Hui Zhang, A Finite Mixture Model for Detail-Preserving Image Segmentation, Signal Processing, vol. 93, no. 11, pp. 3171-3181, 2013.

Hui Zhang, Q. M. Jonathan Wu and Thanh Minh Nguyen, Image Segmentation by a New Weighted Student’s t-Mixture Model, IET Image Processing, vol. 7, no. 3, pp. 240-251, 2013.

Hui Zhang, Q. M. Jonathan Wu and Thanh Minh Nguyen, Modified Student’s t-Hidden Markov Model for Pattern Recognition and Classification, IET Signal Processing, vol. 7, no. 3, pp. 219-227, 2013.

Hui Zhang, Q. M. Jonathan Wu and Thanh Minh Nguyen, Variational Bayes and Localized Feature Selection for Student’s t-Mixture Models, International Journal of Pattern Recognition and Artificial Intelligence, vol. 27, no. 6, pp. 1-18, 2013.

Hui Zhang, Q. M. Jonathan Wu, Yuhui Zheng, Thanh Minh Nguyen, Dingcheng Wang and Danhua Xu, Variational Bayes for Feature Selection and Hidden Markov Models using Student’s t-Mixtures, submitted to International Journal of Pattern Recognition and Artificial Intelligence.

Beijing Chen, Huazhong Shu, Hui Zhang, Gang Chen, Christine Toumoulin, Jean Louis Dillenseger, Limin Luo, Quaternion Zernike Moments and Their RST Invariants of Color Images, Signal Processing, vol. 92, no. 2, pp. 308-318, 2012.

Hui Zhang, Huazhong Shu, Gouenou Coatrieux, Jie Zhu, Q. M. Jonathan Wu, Yue Zhang, Hongqing Zhu and Limin Luo, Affine Legendre Moment Invariants for Image Watermarking Robust to Geometric Distortions, IEEE Transaction on Image Processing, vol. 20, no. 8, pp. 2189-2199, 2011.

Beijing Cheng, Huazhong Shu, Hui Zhang, Gouenou Coatrieux, Limin Luo and Jean Louis Coatrieux, Combined Invariants to Geometric Transformation and to Blur Using Orthogonal Zernike Moments, IEEE Transaction on Image Processing, vol. 20, no. 2, pp. 345-360, 2011.

Hongqing Zhu, Min Liu, Yu Li, Huazhong Shu and Hui Zhang, Image description with nonseparable two-dimensional Charlier and Meixner moments, International Journal of Pattern Recognition and Artificial Intelligence, vol. 55, no. 1, pp 37-55, 2011.