EDUCATION

Ph.D. in Computer Science, University of South Florida, August 1997.

M.S. in Computer Science, Tianjin University, June 1986.

B.S. in Computer Science, Tianjin University, July 1983.

 

WORK EXPERIENCE

8/04-update: Associate Professor in the Department of Computer Science at Georgia State University.

1/99-7/04: Assistant Professor in the Department of Computer Science at Georgia State University.

9/97-12/98: Assistant Professor in the School of Computer and Information Sciences at Georgia Southwestern State University.

 

RESEARCH INTERESTS

1. Theory: Hybrid Intelligent Systems using Neural Networks, Fuzzy Logic, Evolutionary Computation, Yin-Yang Computation, Granular Computing, Kernel Machines, and Natural Computing;

2. Applications: (1) Data Mining and Knowledge Discovery: Bioinformatics, Medical Informatics and Chemical Informatics; (2) Computational Web Intelligence: Intelligent Agents for e-Business and e-Security, Intelligent Grid Computing and Intelligent Wireless Mobile Computing.

 

AWARDS

1. Outstanding Academic Service Award at IEEE 7th International Conference on Bioinformatics & Bioengineering (IEEE BIBE 2007).

2. Achievement Award of the 2007 World Congress in Computer Science, Computer Engineering, and Applied Computing.

3. 2005 IEEE-Granular Computing Outstanding Service Award at 2005 IEEE International Conference on Granular Computing (IEEE-GrC2005).

 

RECENT PROFESSIONAL SERVICES

1.     Associate Editor of Journal of Computational Intelligence in Bioinformatics and Systems Biology.

2.     Editorial Board member of International Journal of Data Mining and Bioinformatics.

3.     Editorial Board member of International Journal of Granular Computing, Rough Sets and Intelligent Systems.

4.      Guest Editor (with J. C. Rajapakse and G. B. Fogel): Special Section on Computational Intelligence Approaches in Computational Biology and Bioinformatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics, April-June, 2007.

5.     Program Co-Chair: 2009 International Symposium on Bioinformatics Research and Applications (ISBRA2009), Ft. Lauderdale, 2009.

6.     Program Vice Chair: 2008 IEEE/WIC/ACM International Conference on Web Intelligence (WI-08), Sydney, 2008.

7.     Organizing Co-Chair: 2008 International Symposium on Bioinformatics Research and Applications (ISBRA2008), Atlanta, May 6-9, 2008.

8.     Program Co-Chair and Bioinformatics Track Chair: IEEE 7th International Conference on Bioinformatics & Bioengineering (IEEE BIBE 2007), Boston, USA, October 14-17, 2007.             

9.     Publicity Co-Chair: 2007 International Workshop on Pattern Recognition in Bioinformatics (PRIB 2007), Singapore, Oct. 1-2, 2007.

10.  Vice Chair: The 2007 International Conference on Bioinformatics & Computational Biology (BIOCOMP'07), Las Vegas, June 25-28, 2007.

11.  Vice Chair: The 2007 International Conference on Artificial Intelligence, Las Vegas, June 25-28, 2007.

12.  Vice Chair: The 2007 International Conference on Genetic and Evolutionary Methods (GEM'07), Las Vegas, June 25-28, 2007.

13.  Vice Chair: The 2007 International Conference on Image Processing, Computer Vision, and Pattern Recognition (IPCV'07), Las Vegas, June 25-28, 2007.

14.  Organizing Co-Chair: 2007 International Symposium on Bioinformatics Research and Applications (ISBRA2007), Atlanta, May 7-10, 2007.

15.   Chair of the Session on Kernel Methods at ISNN2006, Chengdu, May 28-31, 2006.

16.   Program Committee Co-Chair (with W. Pedrycz and M.-C. Shan): 2006 IEEE International Conference on Granular Computing (IEEE-GrC2006), Atlanta, May 10-12, 2006.

17.   Panel Moderator of Panel on Granular Computing: Theory and Applications at IEEEGrC2006, May 12, 2006.

18.   Program Committee Co-Chair (with W.R. Zhang and X.H. T. Hu): 2005 IEEE-ICDM Workshop on MultiAgent Data Warehousing and MultiAgent Data Mining, Houston, November 27, 2005.

19.   Co-Chair (with Zhang Y.): the Special Session on Ying-Yang Computation for Brain, Behavior and Machine Learning at the Second International Conference on Neural Networks and Brain (ICNN&B2005, http://cnnc.org.cn/), Beijing, October 13-15, 2005.

20.   Chair: Workshop on Ying-Yang Computation for Brain, Behavior and Machine Learning (http://www.cs.gsu.edu/~cscyqz/conf/GSU-YYC-BBML-Workshop.htm) at GSU, Atlanta, Aug. 30, 2005.

 

 

PUBLICATIONS

BOOKS/PROCEEDINGS

1.     Y.-Q. Zhang and Jagath C Rajapakse (eds.), “Machine Learning in Bioinformatics,” Wiley Book Series on Bioinformatics: Computational Techniques and Engineering, John Wiley & Sons, 2008.

2.     J. Y. Yang, M. Q. Yang, M. M. Zhu, Y.-Q. Zhang, H. R. Arabnia, Y.P. Deng and N. Bourbakis, “Proceedings of IEEE 7th International Conference on BioInformatics and BioEngineering,” ISBN 1-4244-1509-8, IEEE, 2007.

3.     Y.-Q. Zhang and T.Y. Lin (eds.), “Proceedings of the 2006 IEEE International Conference on Granular Computing,” ISBN 0-7803-9017-2, IEEE, 2006.

4.     W.-R. Zhang, Y.-Q. Zhang and X.H. T. Hu (eds.), “Proceedings of the 2005 IEEE ICDM Multiagent Data Warehousing and Multiagent Data Mining Workshop,” ISBN 0-9738918-0-7, 2005.

5.     H.B. Wang, F. Smarandache, Y.-Q. Zhang and R. Sunderraman, “Interval Neutrosophic Sets and Logic: Theory and Applications in Computing,” Neutrosophic Book Series, no. 5, HEXIS, 2005.

6.     Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao (eds.), “Computational Web Intelligence: Intelligent Technology for Web Applications,” Series in Machine Perception and Artificial Intelligence, volume 58, World Scientific, 2004.

7.     Y.-Q. Zhang and A. Kandel, “Compensatory Genetic Fuzzy Neural Networks and Their Applications,” Series in Machine Perception and Artificial Intelligence, volume 30, World Scientific, 1998.

 

 

      JOURNAL PAPERS

1.     Y.C. Tang, Y.-Q. Zhang, N. V. Chawla, and S. Krasser, “SVMs Modeling for Highly Imbalanced Classification,” IEEE Transactions on Systems, Man, and Cybernetics - Part B, 2009.

2.     Y.-Q. Zhang and Y. Pan, “Incomplete Crossed Hypercubes,” Journal of Supercomputing, 2009.

3.     B. Jin, Y.C. Tang and Y.-Q. Zhang, “Hybrid SVM-ANFIS for protein subcellular location prediction,” International Journal of Computational Intelligence in Bioinformatics and Systems Biology, 2009.

4.     Y. Chen and Y.-Q.  Zhang, “A Personalized Query Suggestion Agent based on Query Concept Bipartite Graphs and Concept Relation Trees,” the Special Issue on Intelligent Techniques for Personalization and Recommendation, the International Journal of Advanced Intelligence Paradigms, 2009.

5.     Y.C. Tang, Y.-Q. Zhang, Z. Huang, X.H. T. Hu, and Y. Zhao, “Recursive Fuzzy Granulation for Gene Subsets Extraction and Cancer Classification,” IEEE Transactions on Information Technology in Biomedicine, vol. 12, no. 6, pp. 723-730, Nov. 2008.

6.     Y.-Q. Zhang, B. Jin and Y.C. Tang, “Granular Neural Networks with Evolutionary Interval Learning,” IEEE Transactions on Fuzzy Systems, Special Section on Granular Computing, vol. 16, no. 2, pp. 309-319, April 2008.

7.     M. Atlas and Y.-Q. Zhang, “Fuzzy Neural Web Agents for Efficient NBA Scouting,” Web Intelligence and Agent Systems: An International Journal, vol. 6, no. 1, pp. 83-91, 2008.

8.     M.Y. Li, N.T. Ni, B.H. Wang and Y.-Q. Zhang, “Modeling the Excitation Wavelengths (λex) of Boronic Acids,” Journal of Molecular Modeling, vol. 14, no. 6, pp. 441-449, 2008.

9.     W.R. Zhang, J. Zhan, P.P. Wang and Y.-Q. Zhang, “On Truth, Uncertainty, Equilibrium and Harmony – a Taxonomy for YinYang Scientific Computing,” New Mathematics and Natural Computation, vol. 4, no. 2, pp. 207-229, July 2008.

10.  X.J. Chen, Y. Li, R. Harrison and Y.-Q. Zhang, “Interval Type-2 Fuzzy Classifier Fusion for Support Vector Machines,” Applied Soft Computing, vol. 8, no. 3, pp. 1222-1231, June 2008.

11.  Y. Qiu, H. Yang, Y.-Q. Zhang and Y.C. Zhao, “Polynomial Regression Interval-valued Fuzzy Systems,” Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 12, no. 2, pp. 137-145, Jan. 2008.

12.  F. Tan, X.Z. Fu, Y.-Q. Zhang and A. Bourgeois, “A Genetic Algorithm-based Feature Subset Selection,” Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 12, no. 2, pp. 111-120, Jan. 2008.

13.  X.J. Chen, R. Harrison and Y.-Q. Zhang, “Genetic Fuzzy Classification Fusion of Multiple SVMs for Biomedical Data,” Special Issue on Evolutionary Computing in Bioinformatics, Journal of Intelligent and Fuzzy Systems, vol. 18, no. 6, pp. 527-541, 2007.

14.  Y.C. Tang, Y.-Q. Zhang and Z. Huang, “Development of Two-Stage SVM-RFE Gene Selection Strategy for Microarray Expression Data Analysis,” IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 4, no. 3, pp. 365-381, July-September 2007.

15.  B. Jin, Y.-Q. Zhang and B.H. Wang, “Granular Kernel Trees with Parallel Genetic Algorithms for Drug Activity Comparisons,” International Journal of Data Mining and Bioinformatics, vol. 1, no. 3, pp. 270-285, 2007.

16.  Y.-Q. Zhang and X.H. Wan, “Statistical Fuzzy Interval Neural Networks for Currency Exchange Rate Time Series Prediction,” Special Issue on Soft Computing for Time Series Prediction, Applied Soft Computing, vol. 7, no. 4, pp. 1145-1234, August 2007.

17.  L. Gu and Y.-Q. Zhang, “Web Shopping Expert Systems Using New Interval Type 2 Fuzzy Reasoning,” Special Issue on Web Intelligence and Chance Discovery, Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 11, no. 8, pp. 741-751, June 2007.

18.  B. Jin, Y.C. Tang and Y.-Q. Zhang, “Support Vector Machines with Genetic Fuzzy Feature Transformation for Biomedical Data Classification,” Special Issue on Advances in Fuzzy Logic, Information Sciences, vol. 177, no. 2, pp. 476-489, 2007.

19.  Y.C. He, Y.C. Tang, Y.-Q. Zhang and R. Sunderraman, “Adaptive Fuzzy Association Rule Mining for Effective Decision Support in Biomedical Applications,” International Journal of Data Mining and Bioinformatics, vol. 1, no. 1, pp. 3-18, 2006.

20.  H.B. Wang, F. Smarandache, Y.-Q. Zhang and R. Sunderraman, “Interval Neutrosophic Logic,” Advances in Fuzzy Sets and Systems, vol. 1, no. 3, pp. 187-218, Oct. 2006.

21.  B. Jin and Y.-Q. Zhang, “Evolutionary Construction of Granular Kernel Trees for Cyclooxygenase-2 Inhibitor Activity Comparison,” LNCS Transactions on Computational Systems Biology, vol. V, pp. 25-35, 2006.

22.  H.B. Wang, Y.-Q. Zhang and R. Sunderraman, “Soft Semantic Web Services Agent,” Soft Computing - A Fusion of Foundations, Methodologies and Applications, vol. 10, no. 11, pp. 1021-1029, Sept. 2006.

23.  T. Surdilovic and Y.-Q. Zhang, “Convenient intelligent cursor control web systems for Internet users with severe motor-impairments,” Special Issue on Health and the Internet for All, International Journal of Medical Informatics, vol. 75, Issue 1, pp. 86-100, Jan. 2006.

24.  Y.-Q. Zhang, “Constructive Granular Systems with Universal Approximation and Fast Knowledge Discovery,” IEEE Transactions on Fuzzy Systems, vol. 13, no. 1, pp. 48-57, Feb. 2005.

25.  L.X. Yu and Y.-Q. Zhang, “Evolutionary Fuzzy Neural Networks for Hybrid Financial Prediction,” Special Issue on Knowledge Extraction and Incorporation in Evolutionary Computation, IEEE Transactions on Systems, Man, And Cybernetics (Part C: Applications and Reviews, vol. 35, no. 2, pp. 244-249, May 2005.

26.  Y.C. Tang, B. Jin and Y.-Q. Zhang, “Granular Support Vector Machines with Association Rules Mining for Protein Homology Prediction,” Artificial Intelligence in Medicine, Special Issue on Computational Intelligence Techniques in Bioinformatics, vol. 35, no. 1-2, pp. 121-134, Sept.-Oct. 2005.

27.  X.J. Chen, R. Harrison and Y.-Q. Zhang, “Multi-SVM Fuzzy Classification and Fusion Method and Applications in Bioinformatics,” Special Issue on Computational Intelligence for and Bioinformatics, the Journal of Theoretical and Computational Nanoscience, vol. 2, no. 4, pp. 514–52, Dec. 2005.

28.  H.B. Wang, P. Madiraju, Y.-Q. Zhang and R. Sunderraman, “Interval Neutrosophic Sets,” International Journal of Applied Mathematics & Statistics, vol. 3, no. M05, pp. 1-18, March 2005.

29.  T.M. Dave, Y.-Q. Zhang, G. Scott Owen and Raj Sunderraman, “Intelligent Web Agents for a 3D Virtual Community,” International Journal for Infonomics, Issue 1, pp. 38-49, Jan. 2005.

30.  F.Y. Liu, H.L. Geng and Y.-Q. Zhang, “Interactive Fuzzy Interval Reasoning for Smart Web Shopping,” Applied Soft Computing, vol. 5, no. 4, pp. 433-439, July 2005.

31.  Y.-Q. Zhang and A. Kandel, “Fuzzy Moves Using Compensatory Granular Reasoning,” the International Journal of Computational Intelligence and Applications, vol. 3, no. 3, pp. 249-263, Sept., 2003.

32.  R. Issolah and Y.-Q. Zhang, “A Fuzzy Web Intelligence Application: Web-based Fuzzy Expert Agents for Online Learning Evaluation,” the International Journal of Neural Parallel and Scientific Computation, vol. 11, no. 1&2, pp. 83-96, March&June, 2003.

33.  Y.-Q. Zhang, “Folded-Crossed Hypercube: A Complete Interconnection Network,” Journal of System Architecture, vol. 47, no. 11, pp. 917-922, May 2002.

34.  Y.-Q. Zhang, S. Akkaladevi, G. Vachtsevanos, and T.Y. Lin, “Granular Neural Web Agents for Stock Prediction,” Soft Computing Journal, vol. 6, no. 5, pp. 406-413, Aug. 2002.

35.  Y.-Q. Zhang, M.D. Fraser, R.A. Gagliano and A. Kandel, “Granular Neural Networks for Numerical‑Linguistic Data Fusion and Knowledge Discovery,” IEEE Transactions on Neural Networks, Special Issue on Neural Networks for Data Mining and Knowledge Discovery, vol. 11, no. 3, pp. 658‑667, May 2000.

36.  M. Ma, Y.-Q. Zhang, G. Langholz and A. Kandel, “On Direct Construction of Fuzzy Systems,” Fuzzy Sets and Systems, vol. 112, pp. 165‑171, 2000.

37.  G.S. Owen, R. Sunderraman and Y.-Q. Zhang, “The Development of a Digital Library to Support the Teaching of Computer Graphics and Visualization,” Computers & Graphics, vol. 24, no. 4, pp. 623-627, Aug.2000.

38.  Y.-Q. Zhang and A. Kandel, “Fuzzy Moves Using Normal Fuzzy Reasoning with Fuzzy Knowledge Discovery,” the International Journal of Intelligent Systems, vol. 14, no. 12, pp. 1183‑1197, Dec. 1999.

39.  A. Kandel, Y. Luo and Y.-Q. Zhang, “Stability Analysis of Fuzzy Control Systems,” Fuzzy Sets and Systems, Vol. 105, No. 1, pp. 33‑48, 1999.

40.  I.B. Turksen, A. Kandel and Y.-Q. Zhang, “Normal Forms of Fuzzy Middle and Fuzzy Contradictions,” IEEE Transactions on Systems, Man, And Cybernetics-Part B, vol. 29, no. 2, pp. 237‑253, April 1999.

41.  Y.-Q. Zhang and A. Kandel, “Compensatory Neurofuzzy Systems with Fast Learning Algorithms,” IEEE Transactions on Neural Networks, vol. 9, no. 1, pp. 83‑105, Jan. 1998.

42.  I.B. Turksen, A. Kandel and Y.-Q. Zhang, “Universal Truth Tables and Normal Forms,” IEEE Transactions on Fuzzy Systems, vol. 6, no. 2, pp. 295‑303, May 1998.

43.  Y.-Q. Zhang and A. Kandel, “Primary‑Fuzzy‑Sets‑Based Normal Fuzzy Reasoning Methodology and Its Applications,” the International Journal of Intelligent Systems, vol. 13, no. 5, pp. 375‑401, May 1998.

44.  Y.-Q. Zhang and A. Kandel, “Compensatory FDNF‑FCNF Neurofuzzy Systems for Fuzzy Games,” The International Journal of Intelligent Automation and Soft Computing, vol. 4, no. 2, pp. 131‑145, 1998.

45.  Y.-Q. Zhang and A. Kandel, “Compression and Expansion of Fuzzy Rules by Using Crisp‑Fuzzy Neural Networks,” Cybernetics and Systems: An International Journal, vol. 29, no. 1, pp. 5‑34, Jan. 1998.

46.  A. Kandel and Y.-Q. Zhang, “Intrinsic Mechanisms and Application Principles of General Fuzzy Logic Through Yin‑Yang Analysis,” Information Sciences, vol. 106, pp. 87‑104, 1998.

47.  A. Kandel, Y.-Q. Zhang and I. Paulo, “Fuzzy Prisoners' Dilemma,” Fuzzy Economic Review, vol. 3, no. 1, pp. 3‑20, May 1998.

48.  A. Kandel, Y.-Q. Zhang and M. Henne, “On Use of Fuzzy Logic Technology in Operating Systems,” Fuzzy Sets and Systems, vol. 99, no. 3, pp. 241‑251, 1998.

49.  A. Kandel and Y.-Q. Zhang, “Fuzzy Moves,” Fuzzy Sets and Systems, vol. 99, no. 3, pp. 159‑177, 1998.

50.  Y.-Q. Zhang and A. Kandel, “Fuzzy CPU Scheduling,” International Journal of Artificial Intelligence Tools, vol. 6, no. 3, pp. 211‑225, 1997.

51.  Y.-Q. Zhang and A. Kandel, “Efficient and Reasonable Precise Decision Systems for Fuzzy Moves,” (Special Issue on Neuro‑Fuzzy Systems), Fuzzy Systems & A.I., vol. IV, no. 3, pp. 3‑18, 1997.

52.  Y.-Q. Zhang and A. Kandel, “An Efficient Hybrid Direct‑Vague Fuzzy Moves System Using Fuzzy‑Rules‑Based Precise Rules,” Expert Systems with Applications, vol.13, no.3, pp. 179‑189, Dec. 1997.

53.  A. Kandel, Y.-Q. Zhang and T. Miller, “Knowledge Representation by Conjunctive Normal Forms and Disjunctive Normal Forms Based on n‑variable‑m‑dimensional Fundamental Clauses and Phrases,” Fuzzy Sets and Systems, vol. 76, pp. 73‑89, 1995.

54.  W.Q. Yao, X.R. Zhang and Y.-Q. Zhang, “Optimization and Implementation of the Hypercube Architecture,” Computer Engineering and Applications, no. 5-6, pp. 29-34, 1994 (in Chinese).

55.  W.Q. Yao, X.R. Zhang and Y.-Q. Zhang, “The Design of A Hybercube Structure Distributed Computer System,” Journal of Tianjin University, vol. 27, no. 5, pp. 576-582, Sept. 1994 (in Chinese).

56.  Y.-Q. Zhang, “Universal Fundamental Field Theory and Gold Taichi 统一元场论与黄金太极,” Special Issue 3, Chinese Qigong, pp. 242-248, 1992 (in Chinese).

57.  Y.-Q. Zhang, “Fuzzy Information Retrieval,” Computer Research and Development, vol. 25, no. 10, pp. 35‑38, 1988 (in Chinese).

58.  Y.-Q. Zhang, “Research in Fuzzy Relational Databases,” Computer Research and Development, vol. 24, no. 8, pp. 57‑60, 1987 (in Chinese).

59.  Y.-Q. Zhang, “On Distributed Fuzzy Relational Databases,” Microcomputers, vol. 7, no. 3, pp. 42-49, 1987 (in Chinese).

60.  Y.-Q. Zhang, “3C Technology for Intelligent Aviation and Space Navigation,” Journal of Space Navigation, 1985 (in Chinese).

 

BOOK CHAPTERS

1.     Y.-Q. Zhang, “Granular Neural Networks,” Encyclopedia of Complexity & System Science, Robert Meyers (Ed.), Springer, 2008.

2.     Z.J. Ding and Y.-Q. Zhang, “Fuzzy Logic,” The Handbook of Technology Management, H. Bidgoli (Ed.), John Wiley & Sons, 2008.

3.     Y. Chen and Y.-Q. Zhang, “A Personalized Semantic Web Search Agents Based on Fuzzy Semantic Trees and Neural Networks,” book chapter, T.J. Yao eds., Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation, IGI Global, 2008.

4.     B. Jin and Y.-Q. Zhang, “Evolutionary Granular Kernel Trees Machines for Protein Subcellular Location Prediction,” Machine Learning in Bioinformatics, Y.-Q. Zhang and Jagath C Rajapakse (eds.), John Wiley & Sons, 2007.

5.     Y.C. He, Y.C. Tang, Y.-Q. Zhang and R. Sunderraman, “Fuzzy-Granular Methods for Identifying Marker Genes from Microarray Expression Data,” Computational Intelligence for Bioinformatics, Gary B. Fogel, David Corne, and Yi Pan (eds.), IEEE Press, 2007.

6.     B. Jin and Y.-Q. Zhang, “Voting Scheme Based Evolutionary Kernel Machines for Drug Activity Comparisons,” Knowledge Discovery in Bioinformatics: Techniques, Methods and Applications, Yi Pan and Xiaohua Hu (eds.), John Wiley & Sons, 2007.

7.     Y. Tang and Y.-Q. Zhang, “Soft Statistical Decision Fusion for Distributed Medical Data on Grids,” Artificial Intelligence and Integrated Intelligent Information Systems: Emerging Technologies and Applications, X.F. Zha (ed.), IRM Press, Oct. 2006.

8.     Y.C. Tang and Y.-Q. Zhang, “Intelligent Type-2 Fuzzy Inference for Web Information Search Task,” Soft Computing for Information Processing and Analysis, Series in Fuzziness and SoftComputing; vol. 164,  M. Nikravesh, L.A. Zadeh and J. Kacprzyk (eds.), Physica-Verlag, Springer, 2005.

9.     Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao, “Introduction to Computational Web Intelligence and Hybrid Web Intelligence,” Computational Web Intelligence: Intelligent Technology for Web Applications, Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao (eds.), World Scientific, 2004.

10.  Y. Tang, Y.-Q. Zhang, A. Kandel, T.Y. Lin and Y.Y. Yao, “Personalized Web Search Agents Using Data Mining and Granular Fuzzy Techniques,” Enhancing the power of the Internet, M. Nikravesh, B. Azvine, R. Yagar, and L.A. Zadeh (eds.), pp. 207-224, Physica-Verlag, Springer, 2004.

11.  Y.C. Tang and Y.-Q. Zhang, “Smart Homepage-Finder — A TSK-Based Genetic Fuzzy Information Filtering Agent for Searching Homepages Intelligently,” Enhancing the power of the Internet, M. Nikravesh, B. Azvine, R. Yagar, and L.A. Zadeh (eds.), pp. 379-402, Physica-Verlag, Springer, 2004.

12.  Y.F. Wang and Y.-Q. Zhang, “Fuzzy Web Information Classification Agents,” Fuzzy Logic and the Internet, V. Loia, M. Nikravesh and L.A. Zadeh (eds.), pp. 309-325, Physica-Verlag, Springer, 2004.

13.  Y.-Q. Zhang, “Fuzzy Logic,” The Internet Encyclopedia, (Editor-in-Chief: H. Bidgoli, and 14 other editors), John Wiley & Sons, Inc. Hoboken, NJ, 2003.

14.  W. Pedrycz, A. Kandel and Y.-Q. Zhang, “Neurofuzzy Systems,” International Handbook on Fuzzy Sets and Possibility Theory, D. Dubois and H. Prade (eds.), Volume: “Fuzzy Systems: Modeling and Control,” pp. 311-380, Kluwer Academic Publishers, 1997.

15.  A. Kandel and Y.-Q. Zhang, “Expert Systems and Fuzzy Moves,” Application of Fuzzy Logic, M. Lamshidi, L. Zadeh, A. Titli and S. Boverie (eds.), pp. 397-416, Prentice Hall PTR, 1997.

 

CONFERENCE PAPERS

1.     H.L.  Hou, Y. Chen, R. A. Beyah and Y.-Q.  Zhang, “Filtering Spam by Using Factors Hyperbolic Trees,” Proc. of IEEE Globecom 2008 Computer and Communications Network Security Symposium (GC'08 CCNS), Nov. 30- Dec. 4, 2008.

2.     Y. Chen, Y.-Q.  Zhang, N. B. Schultz and D. A. Washburn, “A Hybrid Machine Learning Method for Word Sense Disambiguation,” SCiP2008, 2008. (Poster)

3.     N. Hiremath and Y.-Q.  Zhang, “SenMinCom: Pervasive Distributed Dynamic Sensor Data Mining for Effective Commerce,” Proc. of 2008 IEEE International Conference on Granular Computing (IEEE-GrC2008), Aug. 26-Aug. 28, 2008.

4.     Z.J.  Ding, Y. Feng, Y. G. Zheng, and Y.-Q. Zhang, “Granular Decision Fusion Systems for Effective Protein Methylation Predication,” Proc. of 2008 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, Sun Valley, Sept. 15-17, 2008.

5.     Y. Chen, H.L. Hou, and Yan-Qing Zhang, “A Personalized Semantic Web Search Agent Using Fuzzy Semantic Trees and Genetic Algorithms,” Proc. of NAFIPS 2008, New York, May 19-22, 2008.

6.     Anjum Reyaz-Ahmed and Y.-Q. Zhang, “A New SVM-Based Decision Fusion Method Using Multiple Granular Windows for Protein Secondary Structure Prediction,” Proc. of the Third International Conference on Rough Sets and Knowledge Technology (RSKT2008), Chengdu, May 17-19, 2008.

7.     Z.J. Ding, J. Yu, and Y.-Q. Zhang, “A New Improved K-means Algorithm with Penalized Term,” Proc. of 2007 IEEE International Conference on Granular Computing (IEEE-GrC2007), Nov. 2-4, Silicon Valley, 2007.

8.     Y. Qiu, Y.-Q. Zhang, and Y. Zhao, “Statistical Genetic Interval-valued Fuzzy Systems with Prediction in Clinical Trials,” Proc. of 2007 IEEE International Conference on Granular Computing (IEEE-GrC2007), Nov. 2-4, Silicon Valley, 2007.

9.     Anjum Reyaz-Ahmed and Y.-Q. Zhang, “Protein Secondary Structure Prediction Using Genetic Neural Support Vector Machines,” Proc. of IEEE 7th International Conference on BioInformatics and BioEngineering, pp. 1355-1359, Boston, Oct. 14-17, 2007.

10.  Y.-Q. Zhang, B. Jin and Y.C. Tang, “Genetic Granular Neural Networks,” Proc. of the Fourth International Symposium on Neural Networks (ISNN2007), Nanjing, June 3-7, 2007.

11.  X.J. Chen, Y.C. Zhao, Y.-Q. Zhang and R. Harrison, “Combining SVM Classifiers Using Genetic Fuzzy Systems based on AUC for Gene Expression Data Analysis,” Proc. of 2007 International Symposium on Bioinformatics Research and Applications (ISBRA07), Atlanta, May 7-10, 2007.

12.  L. Gu and Y.-Q. Zhang, “Granular Web Shopping Experts,” IEEE/WIC/ACM-WI2006, Hong Kong, Dec. 18-22, 2006.

13.  Y.C. Tang, S. Krasser, P. Judge and Y.-Q. Zhang, “Fast and Effective Spam IP Detection with Granular SVM for Spam Filtering on Highly Imbalanced Spectral Mail Server Behavior Data,” Proc. of The 2nd International Conference on Collaborative Computing (CollaborateCom 2006), Atlanta, Nov. 17-20, 2006.

14.  Y.C. He, Y.C. Tang, Y.-Q. Zhang and R. Sunderraman, “Fuzzy-Granular Gene Selection from Microarray Expression Data,” Proc. of DMB2006 in conjunction with IEEE-ICDM2006, Hong Kong, Dec. 18, 2006.

15.  C. Lin, J. Li, N. Barrett, Yan-Qing Zhang and D. A. Washburn, “Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognition,” the WICI International Workshop on Web Intelligence (WI) meets Brain  Informatics (BI) (WImBI 2006), pp. 267-277, Beijing, Dec. 15-16, 2006.

16.  Anjum Reyaz-Ahmed, Barrett, N., Zhang, Y-Q., D. A. Washburn, “Pattern Recognition Using Support Vector Machines,” The Annual meeting of the Society for Computers in Psychology, Houston, TX, November, 2006. (Poster)

17.  B. Jin and Y.-Q. Zhang, “Classifying Very Large Data Sets with Minimum Enclosing Ball Based Support Vector Machine,” Proc. of FUZZ-IEEE2006, Vancouver, July 16-21, 2006.

18.  X.J. Chen, R. Harrison, Y.-Q. Zhang and Y. Qiu, “A Multi-SVM Fusion Model Using Type-2 FLS,” Proc. of FUZZ-IEEE2006, Vancouver, July 16-21, 2006.

19.  F. Tan, X.Z. Fu, Y.-Q. Zhang and A. Bourgeois, “Improving Feature Subset Selection Using Genetic Algorithm for Microarray Gene Expression Data,” Proc. of CEC2006, Vancouver, July 16-21, 2006.

20.   X.Z. Fu, F. Tan, H. Wang, Y-Q. Zhang and R. Harrison, “Feature Similarity Based Redundancy Reduction for Gene Selection,” Proc. of 2006 International Conference on Data Mining (DMIN'06), Las Vegas, June 26-29, 2006.

21.  Q. Cheng, Y.-Q. Zhang, N. Hundewale, X.L. Hu, A. Bourgeois and A. Zelikovsky, “Routing Using Messengers in Sparse and Disconnected Mobile Sensor Networks,” Proc. of AWIC2006, Beer-Sheva, June 5-7, 2006.

22.  B. Jin and Y.-Q. Zhang, “Genetic Granular Kernel Methods for Cyclooxygenase-2 inhibitor Activity Comparison,” Proc. of the Third International Symposium on Neural Networks (ISNN2006), Chengdu, May 28-31, 2006.

23.  F. Tan, X.Z. Fu, H. Wang, Y.-Q. Zhang and A. Bourgeois, “A Hybrid Feature Selection Approach for Microarray Gene Expression Data,” Proc. of IWBRA2006, May 28-31, 2006.

24.  Y.C. He, Y.C. Tang, Y.-Q. Zhang and R. Sunderraman, “Mining Fuzzy Association Rules from Microarray Gene Expression Data for Leukemia Classification,” Proc. of 2006 IEEE International Conference on Granular Computing (IEEE-GrC2006), Atlanta, May 10-12, 2006.

25.   Y.C. Tang and Y.-Q. Zhang, “Granular SVM with Repetitive Undersampling for Highly Imbalanced Protein Homology Prediction,” Proc. of 2006 IEEE International Conference on Granular Computing (IEEE-GrC2006), Atlanta, May 10-12, 2006.

26.  B. Jin and Y.-Q. Zhang, “Evolutionary Voting Kernel Machines for Cyclooxygenase-2 Inhibitor Activity Comparisons,” Proc. of 2006 IEEE International Conference on Granular Computing (IEEE-GrC2006), Atlanta, May 10-12, 2006.

27.  A. Clayton and Y.-Q. Zhang, “Neural Networks with Resilient Propagation for Protein Secondary Structure Prediction,” Proc. of 2006 IEEE International Conference on Granular Computing (IEEE-GrC2006), Atlanta, May 10-12, 2006.

28.  J.W. He, J. Zhang, G. Altun, A. Zelikovsky and Y.-Q. Zhang, “Haplotype Tagging using Support Vector Machines,” Proc. of 2006 IEEE International Conference on Granular Computing (IEEE-GrC2006), Atlanta, May 10-12, 2006.

29.  X.H. T. Hu, X. Zhang, I. Yoo and Y.-Q. Zhang, “A Semantic Approach for Mining Hidden Links from Complementary and Non-Interactive Biomedical Literature,” Proc. of 2006 SIAM Conference on Data Mining, Bethesda, April 20-22, 2006.

30.  F.H. Jiang, Y,-Q. Zhang, and A.P. Preethy, “A Schema of MultiAgent Negative Data Mining,” Proc. of 2005 IEEE-ICDM Workshop on MultiAgent Data Warehousing and MultiAgent Data Mining, Houston, Nov. 27, 2005.

31.  B. Jin, Y.-Q. Zhang and B.H. Wang, “Evolutionary Granular Kernel Trees and Applications in Drug Activity Comparisons,” Proc. of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB2005), San Diego, Nov. 14-15, 2005. (best student paper award)

32.  Y.C. Tang, Y.C. He, Y.-Q. Zhang, Z. Huang, X.H. T. Hu and R. Sunderraman, “A Hybrid CI-Based Knowledge Discovery System on Microarray Gene Expression Data,” Proc. of 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB2005), San Diego, Nov. 14-15, 2005.

33.  D. A. Washburn, Y.-Q. Zhang, C. Lin, J. Li, & Barrett, N., “Genetic Granular Cognitive Fuzzy Neural Networks for the Study of Relational Learning,” the Annual Meeting of the Society for Computers in Psychology. Toronto, ON, November, 2005. (Poster)

34.  X.H. T. Hu, I. Yoo, M. Song, Y.-Q. Zhang and I-Y Song, “Mining Undiscovered Public Knowledge from Complementary and Non-interactive Biomedical Literature through Semantic Pruning,” Proc. of ACM Fourteen Conference on Information and Knowledge Management (ACM-CIKM 2005), Bremen, Germany, Oct. 31 - Nov. 5, 2005.

35.  Y.C.  Tang, Y.-Q. Zhang, Z. Huang and X.H. T. Hu, “Granular SVM-RFE Gene Selection Algorithm for Reliable Prostate Cancer Classification on Microarray Expression Data,” Proc. of the Fifth IEEE Symposium on Bioinformatics & Bioengineering (BIBE 2005), Minneapolis, Oct. 19 - 21, 2005.

36.  F.H. Jiang, A.P. Preethy and Y.-Q. Zhang, “Compensating Hypothesis by Negative Data,” Proc. of  the Second International Conference on Neural Networks and Brain (ICNN&B’05), Beijing, Oct. 13-15, 2005.

37.  H. Deng, H. Liu and Y.-Q. Zhang, “Mining Calcium-binding Sites From Protein Structure Graphs,” Proc. of  the Second International Conference on Neural Networks and Brain (ICNN&B’05), Beijing, Oct. 13-15, 2005.

38.  X.J. Chen, R. Harrison and Y.-Q. Zhang, “Genetic Fuzzy Fusion of SVM Classifiers for Biomedical Data,” Proc. of IEEE-CEC 2005, Edinburgh, Sept. 2-5, 2005.

39.  Y. Qiu, Y.-Q. Zhang and Y. Zhao, “Statistical Interval-Valued Fuzzy Systems via Linear Regression,” Proc. of IEEE-GrC 2005, pp. 229-232, Beijing, July 25-27, 2005.

40.  Y.C. Tang and Y.-Q. Zhang, “Granular Support Vector Machines with Data Cleaning for Fast and Accurate Biomedical Binary Classification,” Proc. of IEEE-GrC 2005, pp. 262-265, Beijing, July 25-27, 2005.

41.  J. Li, N. Barrett, Y.-Q. Zhang and D. A. Washburn, “Genetic Granular Cognitive Fuzzy Neural Networks and Human Brains for Pattern Recognition,” Proc. of IEEE-GrC 2005, pp. 172-175, Beijing, July 25-27, 2005.

42.  H.B. Wang, Y.-Q. Zhang and R. Sunderraman, “Truth-Value Based Interval Neutrosophic Sets,” Proc. of IEEE-GrC 2005, pp. 274-277, Beijing, July 25-27, 2005.

43.  X.J. Chen, R. Harrison and Y.-Q. Zhang, “Fuzzy Support Vector Machines for Biomedical Data Analysis,” Proc. of IEEE-GrC 2005, pp. 131-134, Beijing, July 25-27, 2005.

44.  B. Jin, Y.-Q. Zhang and X.H. T. Hu, “Support Vector Machines with Evolutionary Interval Neural Networks for Granular Feature Transformation in Making Effective Biomedical Data Classification,” Proc. of IEEE-GrC 2005, pp. 163-166, Beijing, July 25-27, 2005.

45.  Y.-Q. Zhang, “Computational Web Intelligence and Granular Web Intelligence for Web Uncertainty,” Proc. of IEEE-GrC 2005, pp. 99-101, Beijing, July 25-27, 2005.

46.  H.B. Wang, F. Smarandache, Y.-Q. Zhang and R. Sunderraman, “Single Valued Neutrosophic Sets,” Proc. of FTT 2005 (in conjunction with JCIS 2005), pp. 94-97, Salt Lake City, July 21-26, 2005.

47.  J. Zhong and Y.-Q. Zhang “A Relative Fitness Aware Rank-based Selection Procedure in GA,” the 7th International Conference on Computational Intelligence and Natural Computing (in conjunction with JCIS 2005), Salt Lake City, July 21-26, 2005.

48.  B. Jin and Y.-Q. Zhang, “Support Vector Machines with Evolutionary Feature Weights Optimization for Biomedical Data Classification,” Proc. of NAFIPS 2005, Ann Arbor, June 22-25, 2005.

49.  H.B. Wang, Y.-Q. Zhang, R. Sunderraman and P. Madiraju, “A Generalized SQL Query Construct for Paraconsistent Intuitionistic Fuzzy Databases,” Proc. of NAFIPS 2005, Ann Arbor, June 22-25, 2005.

50.  Y.C. Tang, Y.-Q. Zhang and Z. Huang, “FCM-SVM-RFE Gene Feature Selection Algorithm for Leukemia Classification from Microarray Gene Expression Data,” Proc. of FUZZ-IEEE 2005, pp. 97-101, Reno, May 22-25, 2005.

51.  Y.C. Tang, B. Jin, Y.-Q. Zhang, H. Fang and B. Wang, “Granular Support Vector Machines Using Linear Decision Hyperplanes for Fast Medical Binary Classification,” Proc. of FUZZ-IEEE 2005, pp. 138-142, Reno, May 22-25, 2005.

52.  B. Jin, Y.C. Tang, Y.-Q. Zhang, C.-D. Lu and I. Weber, “Support Vector Machine with the Fuzzy Hybrid Kernel for Protein Subcellular Localization Classification,” Proc. of FUZZ-IEEE 2005, pp. 420-423, Reno, May 22-25, 2005.

53.  B. Jin, Y.C. Tang, Y.-Q. Zhang, C.-D. Lu and I. Weber, “The Binary Multi-SVM Voting System for Protein Subcellular Localization Prediction,” Proc. of the First International Workshop on Data Mining and Bioinformatics, Singapore, May, 2005.

54.  H. Liu, J. Lie, Y. Pan, and Y.-Q. Zhang, “An adaptive genetic fuzzy multi-path routing protocol for wireless ad-hoc networks,” Proc. of SAWN2005, May, 2005.

55.  Y.-Q. Zhang, Washburn, D. A., & Barrett, N., “How Relational Learning Emerges: A Granular Cognitive Neural Network Model,” the Meeting of the American Psychological Society, Los Angeles, CA, May, 2005. (Poster)

56.  P.P. Fang and Y.-Q. Zhang, “Car Auxiliary Control System Using Type-2 Fuzzy Logic and Neural Networks,” Proc. of WSC9, Sept. 20 –Oct. 8, 2004.

57.  F.H. Jiang, Z.Y. Li and Y.-Q. Zhang, “Hybrid Type-1-2 Fuzzy Systems for Surface Roughness Control,” Proc. of WSC9, Sept. 20-Oct. 8, 2004.

58.  Y.C. Tang, B. Jin, Y. Sun and Y.-Q. Zhang, “Granular Support Vector Machines for Medical Binary Classification Problems,” Proc. of IEEE-CIBCB2004, pp. 73-78, San Diego, Oct. 7-8, 2004.

59.  S. K. Prasad, V. Madisetti, S. Navathe, R. Sunderraman, E. Dogdu, A. Bourgeois, M. Weeks, A. Zelikovsky, Y.-Q. Zhang, Y. Pan, S. Belkasim, R. Sivakumar, B. Liu, J. Balasooriya, A. Hariharan, W. Xie, P. Madiraju, S. Malladi, G.  Johnson and J.W. He, “System on Mobile Devices (SyD): A Middleware Testbed for Collaborative Applications over Small Heterogeneous Devices and Data Stores,” Proc. of the ACM/IFIP/USENIX 5th International Middleware Conference, pp. 352-371, Toronto, Oct. 18- 22, 2004.

60.  M. Atlas and Y.-Q. Zhang, “Fuzzy Neural Agents for Online NBA Scouting,” Proc. of IEEE/WIC/ACM-WI2004, pp. 58-63, Beijing, Sept. 20-24, 2004.

61.  M.L. Tang, Y.-Q. Zhang and G. Zhang, “Type-2 Fuzzy Web Shopping Agents,” Proc. of IEEE/WIC/ACM-WI2004, pp. 499-503, Beijing, Sept. 20-24, 2004.

62.  H.B. Wang, Y.-Q. Zhang and R. Sunderraman, “Soft Semantic Web Services Agent,” Proc. of NAFIPS2004, pp. 126-129, Banff, June, 2004.

63.  H. Fang, J. Li, Y. Sun, B.H. Wang and Y.-Q. Zhang, “A new data mining tool for analyzing Coumarin-based prodrugs,” Proc. of SPIE’s Defence&Security 2004: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology, vol. 5433, pp. 142-152, Orlando, April, 2004.

64.  P. Singh and Y.-Q. Zhang, “Protein secondary structure prediction using neural networks,” Proc. of SPIE’s Defence&Security 2004: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology, vol. 5433, pp. 108-113, Orlando, April, 2004.

65.  S.K. Prasad, R. Sunderraman, Y.-Q. Zhang and A. Parvatiyar, “A Web-based Game-Oriented College Selection System Employing Fuzzy Rule Trees,” Hawaii Intl. Conf. in Syst. Sc. (HICSS-37), Jan. 5-8, Big Island, 2004.

66.  Y.C. Tang and Y.-Q. Zhang, “Type-2 Fuzzy Reasoning for Intelligent Web Information Search Task,” 2003 BISC FLINT-CIBI INTERNATIONAL JOINT WORKSHOP ON SOFT COMPUTING FOR INTERNET AND BIOINFORMATICS, UC Berkeley, Dec. 15-19, 2003.

67.  Y.C. Tang, P. Singh, Y.-Q. Zhang, C.-D. Lu and I. Weber, “Hybrid Fuzzy Neural Networks for Protein Secondary Structure Prediction,” 2003 BISC FLINT-CIBI INTERNATIONAL JOINT WORKSHOP ON SOFT COMPUTING FOR INTERNET AND BIOINFORMATICS, UC Berkeley, Dec. 15-19, 2003.

68.  L. Lu and Y.-Q. Zhang, “Intelligent Mobile Agents for Efficient and Inexpensive e-Shopping,” Proc. of 27th Annual International Computer Software and Applications Conference: the Web & Security Workshop, pp. 607-609, Dallas, Nov. 3-6, 2003.

69.  S. K. Prasad, M. Weeks, Y.-Q. Zhang, A. Zelikovsky, S. Belkasim, R. Sunderraman, and V. Madisetti, “Toward an Easy Programming Environment for Implementing Mobile Applications: A Fleet Application Case Study using SyD Middleware,” Proc. of IEEE International Workshop on Web Based Systems and Applications, in conjunction with the 27th Annual International Computer Software and Applications Conference (COMPSAC 2003), pp. 696-701, Dallas, November 3-6, 2003.

70.  P. Vo, Y.-Q. Zhang, G.S. Owen and R. Sunderraman, “Real Time Graphical Chinese Chess Game Agents Based on the Client and Server Architecture,” Proc. of the 3rd International Workshop on Intelligent Systems Design and Applications, pp. 173-182, Tulsa, Aug. 2003.

71.  Y.-Q. Zhang, W. Fan and J.N. Cao, “Fuzzy Personalized Wireless Information Agents,” Proc. of 2003 IEEE International Conference on Fuzzy Systems, pp. 1152-1156, St. Louis, May, 2003.

72.  Y.-Q. Zhang, M. Shteynberg, S. K. Prasad and R. Sunderraman, “Granular Fuzzy Web Intelligence Techniques for Profitable Data Mining,” Proc. of 2003 IEEE International Conference on Fuzzy Systems, pp. 1462-1464, St. Louis, May, 2003.

73.  Y. Qin, Y.-Q. Zhang, K. N. King and R. Sunderraman, “Rule-based Statistical Data Mining Agents for an e-Commerce Application,” Proc. of SPIE’s AeroSense 2003: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology, vol. 5098, pp. 124-129, Orlando, April, 2003.

74.  K. Venkatnarayan, Y. Pan and Y.-Q. Zhang, “Neural-network-based Multistage Interconnection Network Routing,” Proc. of SPIE’s AeroSense 2003: Conference on Intelligent Computing: Theory and Applications, vol. 5103, pp. 162-165, Orlando, April, 2003.

75.  M.L. Tang, Y.-Q. Zhang, G.S. Owen and R. Sunderraman, “A Smart Search Agent for Image/Graphics Based Educational Databases,” Proc. of SPIE’s AeroSense 2003: Conference on Intelligent Computing: Theory and Applications, vol. 5103, pp. 63-66, Orlando, April, 2003.

76.  T.M. Dave, Y.-Q. Zhang, G.S. Owen and R. Sunderraman, “Knowledge-based Web Agents for a 3D Virtual Community,” Proc. of SPIE’s AeroSense 2003: Conference on Intelligent Computing: Theory and Applications, vol. 5103, pp. 58-62, Orlando, April, 2003.

77.  Y.-Q. Zhang, “Compensatory Bi-directional Data Mining Methodology Based on Human Data Learning and Electric Data Mining,” Proc. of  the 2002 IEEE International Conference on Data Mining: Workshop on  The Foundation of Data Mining and Discovery, pp. 213-215, Dec. 2002.

78.  S.K. Prasad, M. Weeks, Y.-Q. Zhang, A. Zelikovsky, S. Belkasim and R. Sunderraman, “Mobile Fleet Application Using SOAP and System on Devices (SyD) Middleware Technologies,” Prod. of the IASTED Communications, Internet and Info Tech (CIIT) Conference, pp. 426-431, St. Thomas, Virgin Islands, Nov. 18-20, 2002.

79.  Y.F. Wang, Y.-Q. Zhang, S. Belkasim and R. Sunderraman, “Real Time Fuzzy Personalized Web Stock Information Agent,” Proc. of the 2nd International Workshop on Intelligent Systems Design and Applications, pp. 83-87, Atlanta, Aug. 2002.

80.  Y. Tang, F. Xu, X.H. Wan and Y.-Q. Zhang, “Web-based Fuzzy Neural Networks for Stock Prediction,” Proc. of the 2nd International Workshop on Intelligent Systems Design and Applications, pp. 169-174, Atlanta, Aug. 2002.

81.  R. Issolah  and Y.-Q. Zhang, “Web-based Learning Evaluation Fuzzy Expert System,” Proc. of the 2nd International Workshop on Intelligent Systems Design and Applications, pp. 95-100, Atlanta, Aug. 2002.

82.  A. Parvatiyar, S.K. Prasad, R. Sunderraman and Y.-Q. Zhang, “Smart Advisor and Search Optimizer: Web-based Applications of Fuzzy Rules, Intelligence Systems and Hierarchical Clustering for Relational Decisions,” the Sixth Research Conference on Relational Marketing and CRM, Atlanta, June 6-12, 2002.

83.  Y.-Q. Zhang and T.Y. Lin, “Computational Web Intelligence (CWI): Synergy of Computational Intelligence and Web Technology,” Proc. of FUZZ-IEEE2002 of World Congress on Computational Intelligence 2002: Special Session on Computational Web Intelligence, pp. 1104-1107, Honolulu, May 2002.

84.  M. Syeda, Y.-Q. Zhang and Y. Pan, “Parallel Granular Neural Networks for Fast Credit Card Fraud Detection,” Proc. of FUZZ-IEEE2002 of World Congress on Computational Intelligence 2002: Special Session on Granular Computing and Data Mining, pp. 572-577, Honolulu, May 2002.

85.  Y.-Q. Zhang, “High-speed Learning Algorithm of Constructive Granular Systems,” Proc. of  FUZZ-IEEE2002 of World Congress on Computational Intelligence 2002, pp. 256-260, Honolulu, May 2002.

86.  Y.-Q. Zhang and F. Chung, “Fuzzy Neural Network Tree with Heuristic Back-propagation Learning,” Proc. of IJCNN of World Congress on Computational Intelligence 2002, pp. 553-558, Honolulu, May 2002.

87.  R. Katta and Y.-Q. Zhang, “Medical Data Mining Agents,” Proc. of SPIE'2001 Conf. of Data Mining and Knowledge Discovery, vol. 4730, pp. 305‑308, Orlando, April 1-4, 2002.

88.  K.J. Wibonele and Y.-Q. Zhang, “Web Data Mining,” Proc. of SPIE'2001 Conf. of Data Mining and Knowledge Discovery, vol. 4730, pp. 241‑244, Orlando, April 1-4, 2002.

89.  P.  Madiraju and Y.-Q. Zhang, “Web Usage Mining Agent,” Proc. of SPIE'2001 Conf. of Data Mining and Knowledge Discovery, Vol. 4730, pp. 224‑228, Orlando, April 1-4, 2002

90.  Y.-Q.  Zhang, S. Hang, T.Y. Lin and Y.Y. Yao, “Granular Fuzzy Web Search Agents,” Proc. of FLINT2001, pp. 95-100, UC Berkeley, Aug. 14-18, 2001.

91.  Y.-Q. Zhang, S. Akkaladevi, G. Vachtsevanos and T.Y. Lin,  “Fuzzy Neural Web Agents for Stock Prediction,” Proc. of FLINT2001, pp. 101-105, UC Berkeley, Aug. 14-18, 2001.

92.  Y. Tang and Y.-Q. Zhang, “Personalized Library Search Agents Using Data Mining Techniques,” Proc. of FLINT2001, pp. 119-124, UC Berkeley, Aug. 14-18, 2001.

93.  K.L. Hearn and Y.-Q. Zhang, “Fuzzy, crisp, and human logic in e-commerce marketing data mining,” Proc. of SPIE'2001 Conf. of Data Mining and Knowledge Discovery: Theory, Tools, and Technology, vol. 4384, pp. 67-74, Orlando, April 16-17, 2001.

94.  Y.-Q. Zhang, “The Constructive 2-variable Granular System with Universal Approximation,” Proc. of NAFIPS'2000, pp. 458-466, Atlanta, July 13-16, 2000.

95.  Y.-Q. Zhang, “Numerical-linguistic knowledge discovery using granular neural networks,” Proc. of SPIE'2000 Conf. of Data Mining and Knowledge Discovery: Theory, Tools, and Technology, vol. 4057, pp. 92-99, April 24-25, 2000.

96.  Y.-Q. Zhang, G.S. Owen and R. Sunderraman, “Quick Granular Rule Generation from a Database,” Proc. of the 5th Joint Conf. on Information Sciences, (invited paper), vol. 1, pp. 194-197, Feb. 27 - March 3, 2000.

97.  Y.-Q. Zhang, G. S. Owen, S.K. Prasad, R. Sunderraman and G. Vachtsevano, “Intelligent Internet2 Agents for Distributed Data Mining,” The Internet2 Network Research Workshop, Chicago, June 28 - 29, 2000.

98.  Y.-Q. Zhang, M.D. Fraser, R.A. Gagliano and A. Kandel, “Granular Neuro-fuzzy Knowledge Compression and Expansion,” Proc. of SCI/ISAS'99, (invited paper), vol. 5, pp. 581-586, Orlando, July 31-Aug. 4, 1999.

99.  Y.-Q. Zhang, M. Ma and A. Kandel, “Piecewise constructive approach to constructing fuzzy systems,” Proc. of SPIE'99, vol. 3722, pp. 48-56, Orlando, April 5-9, 1999.

100.    G.S. Owen, R. Sunderraman and Y.-Q. Zhang, “The Development of a Digital Library to Support the Teaching of Computer Graphics and Visualization,” Proc. of GVE'99, pp. 62-67, 1999.

101.    Y.-Q. Zhang, “Nonlinear Model Identification Using Soft Neural Networks,” Proc. of SCI/ISAS'98, (invited paper), vol. 1, pp. 672-678, Orlando, July 12-16, 1998.

102.    Y.-Q. Zhang and A. Kandel, “The Application of Compensatory-Hybrid Technology in Pattern Recognition,” Proc. of IPMU Congress’98, pp. 296-300, 1998.

103.    A. Kandel, Y.-Q. Zhang and H. Bunke, “A Genetic Fuzzy Neural Network for Pattern Recognition,” Proc. of FUZZ-IEEE'97, vol. I, pp. 75-78, 1997.

104.    Y.-Q. Zhang, A. Kandel and M. Henne, “On Normal Fuzzy Reasoning and Fuzzy Moves,” Proc. of FUZZ-IEEE'97, vol. I, pp. 549-553, 1997.

105.    Y.-Q. Zhang, “Fuzzy Neural Networks with Fast Compensatory Learning Algorithms,” ICNN’96, (accepted), June, 1996.

106.    Y.-Q. Zhang and A. Kandel, “Genetic-Guided Compensatory Neurofuzzy Systems,” Proc. of IPMU Congress'96, vol. I, pp. 181-185, 1996.

107.    A. Kandel and Y.-Q. Zhang, “Fuzzy Neural Decision System for Fuzzy Moves,” Proc. of the 3rd World Congress on Expert Systems, pp. 718-725, 1996.

108.    Y.-Q. Zhang and A. Kandel, “Normal Fuzzy Reasoning Methodology Based on Primary Fuzzy Sets,” Proc. of the Internatinal Symposium on Neuro-Fuzzy Systems, pp. 1-8, 1996.

109.    Y.-Q. Zhang and A. Kandel, “Axioms-based CNFs and DNFs Constructed by n-Variable-m-Dimensional Fundamental Clauses and Phrases,” Proc. of NAFIPS'96, pp. 41-45, 1996.

110.    Y.-Q. Zhang, A. Kandel and M. Friedman, “Hybrid Decision-making System for Fuzzy Moves,” Proc. of FUZZ-IEEE/IFES'95, vol. II, pp. 621-626, 1995.

111.    Y.-Q. Zhang, “Complete and Incomplete Folded-Crossed Hypercubes,” the 7th IASTED International Conf. on  Parallel and Distributed Computing and Systems, (accepted), Oct., 1995.

112.    Y.-Q. Zhang, “Incomplete Crossed Hypercubes,” ISCA Eighth International Conference On Parallel And Distributed Computing Systems, (accepted), Sept., 1995.

113.    Y.-Q. Zhang, “Intelligent Computer Systems and I Ching,” the first Conference on Human Science Research, Tianjin, Aug. 15-20, 1989, (in Chinese).

114.    Y.-Q. Zhang, “Research in the Distributed Fuzzy Relational Database,” the 3rd Sino-Japanese Shenyang-Sapparo International Conf. on Computer Applications, Sept. 26-29, 1988.

115.    Y.-Q. Zhang, “Informational Unit Generic-system Networks,” Learning and Recognition- International Workshop on Neural Networks, Beijing, 1988.

116.    Y.-Q. Zhang, “On Fuzzy Information Retrieval Techniques,” the 2nd National Knowledge Engineering Symposium, 1988 (in Chinese).

117.    Y.-Q. Zhang, “The nth Generation: from Fuzzy Intelligent Computers to Generic-system Intelligent Computers,” the Second National Conf. on Multiple-Valued Logic, Chongqing, 1987 (in Chinese).

118.    Y.-Q. Zhang, “The Sixth Generation: The Fuzzy Intelligent Computer,” the 2nd International Conf. on Computers and Applications, June 23-27, 1987.

119.    Y.-Q. Zhang, “On Distributed Fuzzy Relational Databases,” the 5th National Conf. on Micro-Computers and Their Applications, June 23-27, 1986.

120.    Y.-Q. Zhang, “Fuzzy Level Distribution in a Distributed Relational Database System,” the first National Graduate Students’ Conference of Computers and Their Applications, Beijing, Aug. 1985 (in Chinese).

 

VIDEO

1.     Y.-Q. Zhang, et al., “How to Use PC Operating Systems,” Chinese High Education Publisher, 1987.

 

INVITED TALKS

1.     “Granular Machine Learning Methods for Biomedical Data Classification,” the Computational Systems Biology Lab, University of Georgia, Sept. 4, 2008.

2.     “Granular Machine Learning in Bioinformatics,” College of Software, Nankai University, China, June 27, 2007.

3.     “Granular Data Mining for Meaningful Gene Selection from Microarray Expression Data,” Institute of System Biology, Shanghai University, China, June 15, 2007.

4.     “Granular Neural Networks and Human Brains for Pattern Recognition,” The WICI International Workshop on Web Intelligence (WI) meets Brain  Informatics (BI) (WImBI 2006), Beijing, Dec. 15-16, 2006.

5.     “Computational Intelligence for Web Intelligence and Bioinformatics,” Computational Intelligence Lab at the School of Computer Science and Engineering at University of Electronic Science and Technology of China, Chengdu, Aug. 2, 2005.

6.     “Computational Web Intelligence and Granular Web Intelligence for Web Uncertainty,” IEEE-GrC 2005, Beijing, July 25-27, 2005.

7.     “Computational Web Intelligence for Wired and Wireless Applications,” the College of Software of Tianjin University, May 25, 2004.

8.     Invited Speaker and Panelist in Session on Bioinformatics of 2003 BISC FLINT-CIBI INTERNATIONAL JOINT WORKSHOP ON SOFT COMPUTING FOR INTERNET AND BIOINFORMATICS, UC Berkeley, Dec. 17, 2003.

9.     “Technology Outlook,” Atlanta Chapter of IEEE Computer Society, at BellSouth Center, Feb. 26, 2003.

10.  “Computational Web Intelligence on Wired and Mobile Wireless Networks,” The School of Computer and Software Engineering of Southern Polytechnic State University, March 17, 2003.

11.  The plenary talk on “Computational Web Intelligence: Intelligent Technology on Wired and Wireless Networks” at the Second International Workshop on Intelligent Systems Design and Applications (ISDA'02) and the Second International Conference on Neural, Parallel & Scientific Computations, Aug. 7, 2002.

12.  The seminar on “Granular Neural Networks for Numerical-Linguistic Data Fusion and Data Mining” in the Department of Computing at Hong Kong Polytechnic University, January 9, 2002.

13.  The seminar on “Computational Intelligence Agents for Wired and Wireless Applications” in the Department of Computing at Hong Kong Polytechnic University, Dec. 20, 2001.

 

OTHER PROFESSIONAL SERVICES

 

Publication Chair of the Second Annual Fall Workshop on Bio-Computing (SECAB 2005), Atlanta, October 27, 2005.

Chair of the Best Paper award committee of IEEE-GrC2005.

Chair of the Session on Machine Learning, Data Mining, Theory and the Session on Granular Computing of IEEE-GrC2005.

Chair of the Session on Data Mining and Related Topics of SPIE Defense&Security 2004: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology.

Chair of the Stream on Computational Web Intelligence of the Third International Workshop on Intelligent Systems Design and Applications 2003 (ISDA03).

Chair of the Special Sessions of the Third International Workshop on Intelligent Systems Design and Applications 2003 (ISDA03).

Chair of the Session on Intelligent Web Computing of the Third International Workshop on Intelligent Systems Design and Applications 2003 (ISDA03).

Chair of Two Sessions of SPIE AeroSense 2003: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology.

Chair of FUZZ-IEEE2002 of World Congress of Computational Intelligence 2002: Special Session on Computational Web Intelligence (CWI).

Chair of the Second International Workshop on Intelligent Systems Design and Applications 2002 (ISDA02): Session on Knowledge Discovery and Data Mining.

Chair of Two Sessions of SPIE AeroSense 2001: Conference on Data Mining and Knowledge Discovery: Theory, Tools, and Technology.

Chair of SCI/ISAS1999 Invited Session on Intelligent Data Mining and Knowledge Discovery.

 

Conference/Workshop Program Committee member:

RSKT2009, IJCBS2009, IEEE-GrC2009, IEEE-GrC2008, IEEE/WIC/ACM-WI2008, FUZZ-IEEE 2008, IEEE-CIBCB2008, IEEE-BIBM2008, ICPR2008, ISBRA2008, RSKT2008, ISNN2008, PRICAI2008, PRIB2008, APSCC2008, NCA 2008, ISKE2008, IEEE/WIC/ACM-WI2007, IEEE-CIBCB2007, IEEE-BIBM2007, BIRD2007, PAKDD-DMBio2007, JRS2007, IASTED-CI2007, DMB 2007, ISNN2007, ADMI2007, AIS-ADM-2007, WImBI 2007, FSKD2007, BLSC2007, RACR2007, HIS2007, ISBRA2007, IEEE-SCC2006, IEEE/WIC/ACM-WI2006, DMB2006, IADM2006, WSS2006, PRIB2006, HiPCoMB-2006, ICNC-06-FSKD-06, ICINCO06, ISNN2006, RSKT2006, ISKE2006, FT&T2006, NCA2006, ICTAI2006, HIS-NCEI2006, FUZZ-IEEE2005, IEEE-SCC2005, IEEE/WIC/ACM-WI2005, MADW-MADM2005, FDM2005, FLAIRS2005, DMBIO2005, HiPCoMB-05, FT&T 2005, ICINCO2005, SPIE Defense&Security 2005 (KDD), HIS2005, RSFDGrC2005, FSKD2005, ICCI2005, AISC2005, IEEE-CIBCB2004, IEEE/WIC/ACM-WI2004, ICONIP2004, IEEE-ICWS2004, HIS04, SPIE Defense&Security 2004 (KDD), FLAIRS2004 (Integrated Intelligent Systems Track), ISDA2004, WSC9, ICINCO2004, CIT2004, SWMR 2004, WSS2004, IEEE/WIC/ACM-WI2003, FUZZ-IEEE2003, IFSA2003 (Soft Computing Area), SPIE AeroSense 2003 (KDD), ISDA2003, FLAIRS2003 (Integrated Intelligent Systems Track), WSS2003, WorldSES-NNA03, WorldSES-FSFS03, WorldSES-EC03, ICONIP02, SPIE’s AeroSense 2002 (KDD), FLAIRS2002 (Integrated Intelligent Systems Track), WorldSES-NNA02, WorldSES-FSFS02, WorldSES-EC02, ISDA2002, IEEE-ICDM2002 Workshop on The Foundation of Data Mining and Discovery, SPIE’s AeroSense 2003 (KDD), WorldSES-NNA01, WorldSES-FSFS01, WorldSES-EC01, ACM-CIKM2000, SCI/ISAS1999.

 

Referee of International Journals:

IEEE Transactions on Neural Networks.

IEEE Transactions on Fuzzy Systems.

IEEE Transactions on Evolutionary Computation.

IEEE/ACM Transactions on Computational Biology and Bioinformatics.

IEEE Transactions on Knowledge and Data Engineering.

IEEE Transactions on Systems, Man and Cybernetics: Part A.

IEEE Transactions on Systems, Man and Cybernetics: Part B.

IEEE Transactions on Systems, Man and Cybernetics: Part C.

IEEE Transactions on Biomedical Engineering.

IEEE Transactions on Computers. 

IEEE Transactions on Parallel and Distributed Systems.

IEEE Transactions on Image Processing.

IEEE Transactions on Circuits and Systems I.

IEEE Transactions on Nanobioscience.

IEEE Transactions on Industrial Informatics.

IEEE Intelligent Systems.

ACM Transactions on Knowledge Discovery from Data.

IEEE Micro.

Bioinformatics.

International Journal of Bioinformatics Research and Applications (IJBRA).

Neurocomputing.

Data & Knowledge Engineering.

Knowledge and Information Systems: An International Journal.

Fuzzy Sets and Systems.

Information Sciences – An International Journal.

Web Intelligence and Agent Systems: An International Journal.

International Journal of Intelligent Systems.

International Journal of General Systems.

International Journal of Pattern Recognition and Artificial Intelligence.

International Journal of Neural Systems.

International Journal of Fuzzy Systems.

International Journal of Computers and Applications.

International Journal of Modelling and Simulation.

International Journal of Systems Science.

International Journal of Information Technology and Decision Making.

International Journal of Hybrid Intelligent Systems.

International Journal of Approximate Reasoning.

International Journal of Computers and Mathematics with Applications.

Journal of Intelligent and Fuzzy Systems.            

Journal of Parallel and Distributed Computing.

Journal of Information System.

Soft Computing Journal.

Very Large Data Bases Journal.

DATA BASE (The Journal of the ACM Special Interest Group on Management Information Systems).

Biotechnology Progress

Dynamics of Continuous, Discrete and Impulsive Systems Series B: Applications & Algorithm.

Transactions on Advanced Research.

Transactions on Internet Research.

International Journal of Computers and Their Applications.

Journal of Software.

 

Referee of The Internet Encyclopedia.

 

MEMBERSHIP

Bioinformatics and Bioengineering Technical Committee (BBTC) of the Computational Intelligence Society (CIS) of IEEE.

Granular Computing Technical Committee of the Computational Intelligence Society (CIS) of IEEE.

the Technical Committee on Data Mining of the Computational Intelligence Society (CIS) of IEEE.

the Technical Committee on Pattern Recognition for Bioinformatics of the International Association of Pattern Recognition (IAPR).

IEEE Granular Computing Task Force Committee and Advisory Board.

The Young Researchers Committee of World Federation on Soft Computing.

IEEE, IEEE-Computational Intelligence Society, IEEE-SMC, WSES, and BISC. 

 

GRANTS

1.     PI: Y.-Q. Zhang, Co-PIs: Y.P. Deng and J.J. Yang, “Student Fellowships for Participating in IEEE 7th International Symposium on BioInformatics and BioEngineering,” National Science Foundation, (Sept-March, 2007), $5,000.

2.     PI: G.S. Owen, Co-PIs: R. Sunderraman, Y.-Q. Zhang, “DLI-Phase 2: Research on a Digital Library for Graphics and Visualization Education,” National Science Foundation, (January 1, 2000 - December 31, 2002), $330,278.

3.     PI: Y.-Q. Zhang, Co-PIs: G.S. Owen, S.K. Prasad, R. Sunderraman and G. Vachtsevano, “Intelligent Internet2 Agents for Distributed Data Mining,” the Travel Grant funded by the Internet2 committee for the PI and two Co-PIs to attend the Internet2 Network Research Workshop, Chicago, June 28 - 29, 2000.

4.     A bioinformatics sub-project (Y.-Q. Zhang, C.-D. Lu and I. Weber) and a chemical informatics sub-project (Y.-Q. Zhang and B.H. Wang) supported by the P20 NIH Planning Grant (PI: R.W. Harrison) (Sept. 2003 – June 2006), $73,000.

5.     PI: David A. Washburn, Co-PIs: Marise Parent, Scott Decker and Y.-Q. Zhang, “A Multidisciplinary Approach to Learning and Intelligence,” GSU Research Program Enhancement Grant, (Aug., 2008 –Aug., 2009), $50000.

6.     PI: David A. Washburn, Co-PIs: Marise Parent, Scott Decker and Y.-Q. Zhang, “A Multidisciplinary Approach to Learning and Intelligence,” GSU Research Program Enhancement Grant, (Aug., 2005 –Aug., 2008), $150,000.

7.     PI: Y.-Q. Zhang, Co-PI: D. A. Washburn, “Granular Cognitive Neural Networks based on Artificial Intelligence, Computational Intelligence and Cognitive Science,” the GSU Brain&Behavior Research Grant, (Oct. 2004 –Sept. 2005), $26335.