Selected Publications
(for full list, see here)

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2007

• Wei Tang, Hui Xiong, Shi Zhong, and Jie Wu, "Enhancing Semi-Supervised Clustering: A Feature Projection Perspective," To appear in KDD 2007.
• Wei Tang and Shi Zhong, "Pairwise Constraints-Guided Dimensionality Reduction," To appear in Computational Methods of Feature Selection, Eds. Huan Liu and Hiroshi Motoda, 2007. (an extended version of the ICDM06 Workshop paper)

2006

• Wei Tang and Shi Zhong, "Pairwise Constraints-Guided Dimensionality Reduction," Accepted to SDM Workshop on Feature Selection for Data Mining (FSDM'06), Bethesda, Maryland, April, 2006.
• Shi Zhong, "Semi-Supervised Model-based Document Clustering: A Comparative Study," Machine Learning. Vol. 65, No. 1, October 2006.

2005

• Naeem Seliya, Taghi M. Khoshgoftaar, and Shi Zhong, "Analyzing Software Quality with Limited Fault-Proneness Defect Data," Accepted to 9th IEEE Int. Symp. High Assurance Systems Engineering (HASE'05), Heidelberg, Germany, October 10-13, 2005.
• Shi Zhong, "Efficient Online Spherical K-means Clustering," In Proc. IEEE Int. Joint Conf. Neural Networks (IJCNN 2005), Montreal, Canada, July 31-August 4, 2005. pp. 3180-3185.
• Shi Zhong, Taghi M. Khoshgoftaar, and Naeem Seliya, "Clustering-based Network Intrusion Detection," To appear in International Journal of Reliability, Quality, and Safety Engineering (IJRQSE). 2005.
• Shi Zhong, "Efficient Streaming Text Clustering," Neural Networks, Vol. 18, August 2005. pp. 790-798.
• Shi Zhong, "Semi-supervised Sequence Classification with HMMs," International Journal of Pattern Recognition and Artificial Intelligence (IJPRAI), Vol. 19, No. 2, 2005. pp. 165-182.
• Shi Zhong and Joydeep Ghosh, "Generative model-based clustering of documents: a comparative study," Knowledge and Information Systems (KAIS), Vol. 8, 2005. pp. 374-384. [The original publication can be found on springerlink.com.]

2004

• Shi Zhong, Taghi M. Khoshgoftaar, and Naeem Seliya. Unsupervised Learning for Expert-based Software Quality Estimation. In 8th IEEE Int. Symp. High Assurance Systems Engineering (HASE'04), pp. 149-155, Tempa, FL. March 2004.
• Shi Zhong, Taghi M. Khoshgoftaar, and Naeem Seliya. Analyzing software measurement data with clustering techniques. IEEE Intelligent Systems. vol. 19, no. 2, pp. 20-27. March/April 2004. [online magazine version]

2003

• Shi Zhong and Joydeep Ghosh. A Unified Framework for Model-based Clustering. Journal of Machine Learning Research (JMLR). vol. 4, pp. 1001-1037. November, 2003.
• Shi Zhong and Joydeep Ghosh. Model-based clustering with soft balancing. In Proc. 3rd IEEE Int. Conf. Data Mining (ICDM 2003), pp. 459-466, Melbourne, FL. November 2003.
• Shi Zhong and Joydeep Ghosh. Scalable, balanced model-based clustering. In SIAM Int. Conf. Data Mining (SDM 2003), pp. 71-82, San Francisco, CA. May 2003.

2002 and before

• Shi Zhong and Joydeep Ghosh. HMMs and coupled HMMs for multi-channel EEG classification. In Proc. IEEE Int. Joint Conf. on Neural Networks (IJCNN'02), vol. 2, pp. 1154-1159, Honolulu, Hawaii. May 2002.
• Chen He and Shi Zhong. System-level design and software-based implementation of MPEG-4 video encoder. In The Asilomar Conf. on Signals, Systems and Computers, vol. 2, pp. 1058-1062, Pacific Grove, CA. November 2000.
• Shi Zhong and Joydeep Ghosh. Decision Boundary Focused Neural Network Classifier. In Intelligent Engineering Systems Through Artificial Neural Networks (ANNIE), ASME Press, St. Louis, MO. November 2000.
• Shi Zhong and Vladimir Cherkassky. Image denoising using wavelet thresholding and model selection. In Proc. IEEE Int. Conf. on Image processing (ICIP'00), vol. 3, pp. 263-265, Vancouver, BC, Canada. November 2000.
• Shi Zhong, Yue Yu, Fengting Li, and Chenghui Ge. Remote Sensing Image Compression Based on Wavelet. Journal of Image and Graphics (in Chinese), vol. 3, no. 10, pp. 849-853, 1998.

• Shi Zhong, Wei Tang, and Taghi M. Khoshgoftaar. Boosted Noise Filters for Identifying Mislabeled Data. Technical Report, Dept. of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL, USA. June 2005.
• Shi Zhong and Joydeep Ghosh. Generative Model-based Document Clustering. Tech. Report, Dept. of Computer Science and Engineering. Florida Atlantic University, Boca Raton, FL, USA. June 2004.
• Shi Zhong. An Analysis of Model-based Clustering, Competitive Learning, and Information Bottleneck. Tech. Report, Dept. of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL, USA. March 2004.
• Shi Zhong. Probabilistic Model-based Clustering of Complex Data. PhD Thesis. The University of Texas at Austin. Austin, Texas, USA. August 2003.
• Shi Zhong and Joydeep Ghosh. Coupled Hidden Markov Models. Tech. Report, ECE Dept., University of Texas at Austin. Austin, Texas, USA. June, 2001.

©Shi Zhong, 2003-2007