Prof. Wei Zhong

University of South Carolina Upstate, USA

Email: wzhong@uscupstate.edu

Qualifications

2006  Ph.D., Georgia State University, USA

2001  B. S., Georgia State University, USA

Publications (selected)

1. Wei Zhong, Jieyue He, Xiujuan Chen, and Yi Pan. “Genetic Fuzzy Multi-level Clustering Support Vector Machines for Improved Protein Local Structure Prediction,” International Journal of Data Mining and Bioinformatics, (under review), 2010.
2. Wei Zhong, Rick Chow, and Jieyue He. “Clinical Charge Profiles Prediction for Patients Diagnosed with Chronic Diseases Using Multi-level Support Vector Machine,” Expert Systems with Applications: An International Journal, (under review), 2010.
3. Jieyue He, Fang Zhou, Wei Zhong, and Yi Pan. “Gene Subsets Extraction Based on Mutual Information based Minimum Spanning Trees Model,” International Journal of Computational Biology and Drug Design (IJCBDD), vol. 2(2), Pages 187-203, 2009 (Acceptance Rate of Papers: ~15%)
4. Sebastian van Delden and Wei Zhong. “Effective Integration of Autonomous Robots into an Introductory Computer Science Course: A Case Study,” Journal of Computing Sciences in Colleges (Selected papers from the Sixth Meeting of the Consortium for Computing Science in Colleges), vol. 23(4), Pages 10-19, April 2008. (Acceptance Rate of Papers: ~50%)
5. Wei Zhong, Gulsah Altun, Xinmin Tian, Robert Harrison, Phang C. Tai, and Yi Pan. “Parallel Protein Secondary Structure Prediction Schemes Using Pthread and OpenMP over Hyper-Threading Technology,” Journal of Supercomputing, vol. 41(1), Pages 1-16, July 2007.
6. Wei Zhong, Jieyue He, Robert Harrison, Phang C. Tai, and Yi Pan. “Clustering Support Vector Machines for Local Protein Structure Prediction,” Expert Systems with Applications: An International Journal, vol. 32(2), Pages 518-526, February 2007.
7. Wei Zhong, Gulsah Altun, Robert Harrison, Phang C. Tai, and Yi Pan. “Improved K-means Clustering Algorithm for Exploring Local Protein Sequence Motifs Representing Common Structural Property,” IEEE Transactions on NanoBioscience, vol. 4(3), Pages 255-265, September 2005.
8. Chaojun Li, Jieyue He, Baoliu Ye, and Wei Zhong. “A Novel Core-Attachment Based Greedy Search Method for Mining Functional Modules in Protein Interaction Networks,” Proceedings of the 7th International Symposium on Bioinformatics Research and Applications (ISBRA2011), 12 pages, Changsha, China, May 27-29, 2011. (Acceptance Rate of Regular Papers: ~40%)
9. Wei Zhong, Rick Chow, Jieyue He, Richard Stolz, and Marsha Dowell. “Multi-Level Support Vector Machines for Classifying Large Chronic Disease Datasets,” Proceedings of the 2009 International Conference on Bioinformatics & Computational Biology (BIOCOMP'09), vol. 1, Pages 370-375, Las Vegas, Nevada, July 13-16, 2009. (Acceptance Rate of Regular Papers: ~27%)
10. Jieyue He, Pingping Chen, Dejing Zhao, and Wei Zhong. “Enhancing Prediction Understandability for Transmembane Segments by BoostingFOIL,” Proceedings of 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems (ICIS 2009), vol. 1, Pages 739-743, Shanghai, China, June 1-3, 2009. (Acceptance Rate of Regular Papers: ~34%)
11. Zhenggang Chang, Jieyue He, Wei Zhong, and Yi Pan. “A Novel Graph-based Selection Wrapper for Learn Enhancement in a Semi-supervised Manner,” Proceedings of International Workshop on Applications of Machine Learning in Bioinformatics of 2009 IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2009), Pages 62-67, Washington D.C., Nov 1- 4, 2009. (Acceptance Rate of Regular Papers: ~50%)
12. Wei Zhong, Rick Chow, Richard Stolz, Jieyue He, and Marsha Dowell. “Hierarchical Clustering Support Vector Machines for Classifying Type-2 Diabetes Patients,” Springer’s Lecture Notes in Computer Science (Selected Papers from The International Symposium on Bioinformatics Research and Applications), vol. 4983, Pages 379-389, 2008. (Acceptance Rate of Regular Papers: ~37%)
13. Rick Chow, Wei Zhong, Michael Blackmon, Richard Stolz, and Marsha Dowell. “An Efficient SVM-GA Feature Selection System for Large Healthcare Databases,” Proceedings of the 10th Annual Conference on Genetic and Evolutionary Computation (GECCO 2008), Pages 1373-1380, Atlanta, Georgia, July 12-16, 2008. (Conference Track Acceptance Rate of Regular Papers: ~36%)
14. Wei Zhong, Jieyue He, and Yi Pan. “Multiclass Fuzzy Clustering Support Vector Machines for Protein Local Structure Prediction,” Proceedings of The 7th IEEE International Conference on BioInformatics and BioEngineering (BIBE2007), Pages 21-26, Boston, October 14-17, 2007. (Acceptance Rate of Regular Papers: ~28%)
15. Fang Zhou, Jieyue He, and Wei Zhong. “Mutual Information based Minimum Spanning Trees Model for Selecting Discriminative Genes,” Proceedings of The 7th IEEE International Conference on BioInformatics and BioEngineering (BIBE2007), Pages 1051-1055, October 14-17, 2007. (Acceptance Rate of Regular Papers: ~ 28%)
16. Jieyue He, Wei Zhong, Robert Harrison, Phang C. Tai, and Yi Pan. “Clustering Support Vector Machines and Its Application to Local Protein Tertiary Structure Prediction,” Springer’s Lecture Notes in Computer Science (Selected Papers from International Workshop on Bioinformatics Research and Applications), vol. 3992, pp. 710-717, 2006. (Acceptance Rate of Regular Papers: ~37%)
17. Wei Zhong, Gulsah Altun, Robert Harrison, Phang C. Tai, and Yi Pan. “Discovery of Local Protein Sequence Motifs Using Improved K-means Clustering Technique,” Advances in Bioinformatics and its applications (Series in Mathematical Biology and Medicine - vol. 8, Selected Papers from International Conference on Bioinformatics and Its Applications) (ICBA2004), Pages 297-303, Fort Lauderadale, Florida, December 16-19, 2004. (Acceptance Rate of Regular Papers: ~28%)

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