Publications
1) 2 Monographs, 2 edited
Books and 4 Proceedings
1. I. Mandoiu, G. Narasimhan and Y.-Q. Zhang (eds.), “Proceedings of 5th International Symposium on Bioinformatics Research and
Applications (ISBRA 2009),” ISBN 978-3-642-01550-2, Springer Berlin /
Heidelberg, 2009.
2. 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.
3. 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.
4. 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.
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. 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.
7. Y.-Q. Zhang, A. Kandel, T.Y.
Lin and Y.Y. Yao (eds.), Computational Web Intelligence: Intelligent
Technology for Web Application, Series in Machine Perception and Artificial
Intelligence, volume 58, World Scientific, 2004.
8. Y.-Q. Zhang and A. Kandel, Compensatory
Genetic Fuzzy Neural Networks and Their Applications, Series in Machine
Perception Artificial Intelligence, volume 30, World Scientific, 1998.
2) 74
Published Journal Papers, and 2 Accepted Journal Papers
1. A. Chida, R. W. Harrison and Y.-Q. Zhang, “Enhanced Encoding with Improved Fuzzy Decision Tree Testing Using CASP
Templates”, Special Issue on Bioinformatics, IEEE Computational Intelligence
Magazine, 2012.
2. P. Phoungphol, Y.-Q. Zhang and Y. Zhao, “Robust Multiclass
Classification for Learning from Imbalanced Biomedical Data,” Special
Issue on Bioinformatics and Computational Biology, Tsinghua Science and Technology
Journal, 2012.
3. G. Shen and Y.-Q. Zhang, “An
Evolutionary Linear Programming Algorithm for Solving the Stock Reduction
Problem,” International Journal of Computer Applications in Technology,
vol. 44, no. 3, pp. 171-179, 2012.
4. G. Shen and Y.-Q. Zhang,
“Shadow Price Based Genetic Algorithms for the Cutting Stock Problem,” International
Journal of Artificial Intelligence and Soft Computing, vol. 3, no. 1,
pp. 50-69, 2012.
5. K. Qian,
C.-T. D. Lo, M. Guo,
Y. Pan, Y.-Q. Zhang, X. Hu, and L. Hong, “Android-based Hands-on Labware for Computing Education,” Computer Education, vol.
11, pp. 72-75, June 2012.
6. Brent Hafner and Y.-Q.
Zhang, “Cloud Computing with Green Virtual Systems,” International Journal of Emerging
Technology and Advanced Engineering, vol. 2, no. 3, March 2012.
7. W.R. Zhang, A.K. Pandurangi,
K.E. Peace, Y.-Q. Zhang, Z. Zhao, “MentalSquares − a generic bipolar support vector
machine for mental disorder classification, diagnostic analysis, and neurobiological
data mining,” International Journal
of Data Mining and Bioinformatics,
vol. 5, no. 5, pp. 532-557, 2011.
8. Y.Q.
Chen, Y.-Q. Zhang, H. Hu, H. Ling, “A Novel Gray Image
Watermarking Scheme,” Journal of
Software, vol. 6, no. 5, pp. 849-856, May 2011.
9. Z.J. Ding,
Y.-Q. Zhang, and Y.C. Zhao, “Data Shuffling and
Statistical Analysis on Microarray Data for Gene Selection—A Comparative Study
on Filtering Methods,” International Journal of Functional
Informatics and Personalised Medicine, vol.
3, no. 3, pp. 183-203, 2010.
10. A. Reyaz-Ahmed, R. W. Harrison and Y.-Q.
Zhang, “Protein Model Assessment via Machine Learning Techniques,” International Journal of Functional Informatics and Personalised Medicine, vol. 3, no.
3, pp. 215-227, 2010.
11. G. Shen and Y.-Q. Zhang, “A new evolutionary algorithm using shadow
price guided operators,” Applied Soft Computing, vol. 11,
no. 2. pp. 1983-1992, 2010.
12. Z.J. Ding, Y. Feng, Y. G. Zheng, and Y.-Q.
Zhang, “Protein Methylation Prediction Using Granular Decision Fusion Methods,”
International
Journal of Soft Computing and Bioinformatics, vol. 1, no.1, pp. 19-27,
2010.
13. N. Hiremath and Y.-Q. Zhang,
“A granular hardware/software system: pervasive distributed dynamic sensor data
mining system for effective commerce,” International Journal of Granular
Computing, Rough Sets and Intelligent Systems, vol. 1, no.3, pp.
252-271, 2010.
14. 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, vol. 39, no.
1, pp. 281-288, Feb. 2009.
15. Y. Chen and Y.-Q. Zhang, “Extracting Concepts’ Relations and Users’
Preferences for Personalizing Query Disambiguation,” International Journal On Semantic Web
and Information Systems, vol.
5, no. 1, pp. 65-80, January-March, 2009.
16.
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, vol.
1, no. 1, pp. 59-73, 2009.
17. Y.-Q. Zhang and Y. Pan, “Incomplete Crossed Hypercubes,” Journal of Supercomputing, v.49, n.3, p.318-333, September 2009.
18. A. Reyaz-Ahmed, Y.-Q. Zhang, and R. W.
Harrison,
“Granular Decision Tree and Evolutionary Neural SVM for
Protein Secondary Structure Prediction,” International
Journal of Computational Intelligence Systems, vol. 2, n. 2, p.343-352, Dec. 2009.
19. 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, vol. 1, no. 4 pp. 398-417, 2009.
20. L. Lu and Y.-Q. Zhang, “Distributed Fuzzy Mobile
Agents for e-Commerce,” International Journal of Computational
Intelligence Research, vol. 5, no. 2, pp. 108-115, 2009.
21. 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.
22. 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.
23. 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.
24. Minyong Li, Nanting Ni, Binghe 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.
25. 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.
26. X.J. Chen, Y. Li, R. Harrison and Y.-Q. Zhang, “Type-2
Fuzzy logic-based Classifier Fusion for Support Vector Machines,” Applied
Soft Computing, vol. 8, no. 3, pp. 1222-1231, June 2008.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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. 1145-1156, August 2007.
33. 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.
34. 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.
35. 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.
36. 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.
37. 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.
38. H.B. Wang, Y.-Q. Zhang and R. Sunderraman,
“Extensible soft Semantic Web Services Agent,” Soft Computing - A
Fusion of Foundations, Methodologies and Applications, vol. 10, no. 11,
pp. 1021-1029, Sept. 2006.
39. 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.
40. 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.
41. 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.
42. 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.
43. 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.
44. 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.
45. 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.
46. 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.
47. 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.
48. 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.
49. Y.-Q. Zhang, “Folded-Crossed Hypercube: A Complete
Interconnection Network,” Journal of System Architecture, vol.
47, no. 11, pp. 917-922, May 2002.
50. 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.
51. 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.
52. 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.
53. 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.
54. 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.
55. 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.
56. 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.
57. 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.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. A. Kandel, Y.-Q. Zhang and
I. Paulo, “Fuzzy Prisoners' Dilemma,” Fuzzy Economic Review, vol.
3, no. 1, pp. 3‑20, May 1998.
64. 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.
65. A. Kandel and Y.-Q. Zhang,
“Fuzzy Moves,” Fuzzy Sets and Systems, vol. 99, no. 3, pp. 159‑177,
1998.
66. Y.-Q. Zhang and A. Kandel, “Fuzzy
CPU Scheduling,” International Journal of Artificial Intelligence Tools,
vol. 6, no. 3, pp. 211‑225, 1997.
67. 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.
68. 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.
69. 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.
70. 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).
71. 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).
72. Y.-Q. Zhang, “Universal Fundamental Field Theory and
Golden Taichi,” Special Issue 3, Chinese Qigong,
pp. 242-248, 1992 (in Chinese).
73. Y.-Q. Zhang, “Fuzzy Information Retrieval,” Computer
Research and Development, vol. 25, no. 10, pp. 35‑38, 1988 (in
Chinese).
74. Y.-Q. Zhang, “Research in Fuzzy Relational Databases,”
Computer Research and Development, vol. 24, no. 8, pp. 57‑60,
1987 (in Chinese).
75. Y.-Q. Zhang, “On Distributed Fuzzy Relational
Databases,” Microcomputers, vol. 7, no. 3, pp. 42-49, 1987 (in
Chinese).
76. Y.-Q. Zhang, “3C Technology for Intelligent Aviation
and Space Navigation,” Journal of Space Navigation, 1985 (in
Chinese).
3)
18 Book Chapters
1. G. Shen and Y.-Q. Zhang,
“Power Consumption Constrained Task Scheduling Using Enhanced Genetic
Algorithms,” Evolutionary based Solutions for Green Computing, in the
“Studies in Computational Intelligence” series, Samee
U. Khan Joanna Kolodziej Juan Li, and Albert Y. Zomaya (eds.), Springer, 2012.
2. A. Chida, R. W. Harrison and
Y.-Q. Zhang, “Protein Tertiary Model
Assessment,” Algorithmic and AI
Methods for Protein Bioinformatics, Y. Pan, J. Wang and M. Li (eds.), Wiley Book Series on
Bioinformatics: Computational Techniques and Engineering, John Wiley &
Sons, 2012.
3. Z.J. Ding and Y.-Q. Zhang, “Review of Imbalanced Data
Learning for Protein Methylation Prediction,”
Algorithmic and AI Methods for
Protein Bioinformatics, Y.
Pan, J. Wang and M. Li (eds.), Wiley Book Series on Bioinformatics:
Computational Techniques and Engineering, John Wiley & Sons, 2012.
4. Z.J. Ding and Y.-Q. Zhang, “Fuzzy Logic,” The
Handbook of Technology Management, H. Bidgoli
(Ed.), John Wiley & Sons, 2010.
5. Y. Chen and Y.-Q. Zhang, “A Genetic Fuzzy Semantic Web Search Agent Using
Granular Semantic Trees for Ambiguous Queries,” T.J. Yao (ed.), Novel
Developments in Granular Computing: Applications for Advanced Human Reasoning
and Soft Computation, IGI Global, 2010.
6. Y.-Q. Zhang, “Granular Neural Networks,” Encyclopedia
of Complexity & System Science, Robert Meyers (Ed.), Springer,
2009.
7. B. Jin and Y.-Q. Zhang, “Evolutionary Granular Kernel
Trees for Protein Subcellular Location Prediction,” Machine Learning in Bioinformatics, Y.-Q. Zhang and Jagath C Rajapakse (eds.), John
Wiley & Sons, 2008.
8. Y.C. He, Y.C. Tang, Y.-Q. Zhang and R. Sunderraman, “Fuzzy-Granular Gene Selection from Microarray
Expression Data,” Computational Intelligence for Bioinformatics,
Gary B. Fogel, David Corne,
and Yi Pan (eds.), IEEE Press, 2007.
9. 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.
10. 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.
11. 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 Soft Computing, vol.
164, pp. 439-448, M. Nikravesh,L.A. Zadeh and J. Kacprzyk (eds.), Physica-Verlag, Springer, 2005.
12. 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.
13. 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, Springer, 2004.
14. 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.
383-406, Springer, 2004.
15. 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, Springer, 2004.
16. Y.-Q. Zhang, “Fuzzy Logic,” The Internet Encyclopedia
(Editor-in-Chief: H. Bidgoli and 14 other
editors, 3-volume), John Wiley & Sons, 2003.
17. W. Pedrycz, A. Kandel and Y.-Q. Zhang, “Neurofuzzy
Systems,” International Handbook on Fuzzy Sets and Possibility Theory
(Editors: D. Dubois and H. Prade), Volume: “Fuzzy
Systems: Modeling and Control,” pp.311‑380, Kluwer Academic
Publishers, 1997.
18. A. Kandel and Y.-Q. Zhang, “Expert Systems and Fuzzy Moves,” Application of
Fuzzy Logic, pp. 397‑416, Prentice Hall PTR, 1997.
4) 147
Conference/Workshop Papers and 6 Posters
1. P. Phoungphol and Y.-Q. Zhang, “Multi-Source Kernel
k-means for Clustering Heterogeneous Biomedical Data,” Proc. of 2012 IEEE
International Conference on Granular Computing (IEEE-GrC2012), pp. 676-681,
Hangzhou, Aug. 11-13, 2012.
2. Y. Zhu, Y.-Q.
Zhang and Y. Pan, “Mis-classified Instance Learning
and Recovery in Classification,” Proc. of 2012 IEEE International Conference
on Granular Computing (IEEE-GrC2012), pp. 688-693, Hangzhou, Aug. 11-13,
2012.
3. K. Qian,
C.-T. D. Lo, Y. Pan, Y.-Q.
Zhang, X. Hu, and L. Hong, “Real-World
Relevant Learning with Android Smartphones,” Proc. of 12th IEEE
International Conference on Advanced Learning Technologies, Rome, July 4-6,
2012.
4. A. Chida, R. W. Harrison and
Y.-Q. Zhang, “Protein Model Assessment Using Extended Fuzzy Decision Tree with
Spatial Neighborhood Features,” Proc. of 2012 IEEE Symposium on Computational
Intelligence in Bioinformatics and Computational Biology (CIBCB2012), San
Diego, May 9-12, 2012.
5. S. Solorio-Fernandez, J. F.
Martinez-Trinidad, J. A. Carrasco-Ochoa and Y.-Q. Zhang, “Hybrid Feature
Selection Method for Biomedical Datasets,” Proc. of 2012 IEEE
Symposium on Computational Intelligence in Bioinformatics and Computational
Biology (CIBCB2012), San Diego, May 9-12, 2012.
6. A. Shrestha, Y. Zhu, C. M. Dooley, and Y.-Q. Zhang, “Exploring New
Reading Assessment Methods in Early Childhood Education with Mobile Reading
Devices,” Workshop on Educational Interfaces, Software, and Technology which is
in conjunction with ACM CHI 2012, May 5-6, 2012.
7. Y. Lu, K. Qian,
P. Bhattacharya, M. Guo, P. Phoungphol, Y. Pan, Y.-Q. Zhang, “Mobile Computing Labware
Cross CS Curriculum,” SIGCSE
2012: The 43rd ACM Technical Symposium on Computer Science Education, Feb.
29-March 3, 2012. (poster)
8. P. Phoungphol, Y. Q. Zhang,
and Y. Zhao, “Improve
Medical Diagnosis with Multi-class Ramp-Loss SVM,” GSU Workshop on Biostatistics and Bioinformatics,
2012. (poster)
9. P. Phoungphol and Y.-Q. Zhang, “Sample Size Estimation with
High Confidence for Large Scale Clustering,” Proc.
of 2011 IEEE International Conference on Intelligent Computing and
Intelligent Systems (ICIS 2011), Guangzhou, Nov. 18-20,
2011.
10. P. Phoungphol and Y.-Q. Zhang, “Multi-Source Kernel k-means
for Clustering Heterogeneous Biomedical Data,” Proc. of 2011 IEEE-BIBM: The
Second Workshop on Integrative Data Analysis in Systems Biology (IDASB),
Atlanta, Nov. 12, 2011.
11. Z. Haydari, Y.-Q. Zhang, and
H. Soltanian-Zadeh, “Semi-Automatic Epilepsy Spike
Detection from EEG Signal Using Genetic Algorithm and Wavelet Transform,” Proc.
of 2011 IEEE-BIBM: 2011 International Workshop on Biomedical
and Health Informatics, Atlanta, Nov.
13, 2011.
12. Z.B. Wang and Y.-Q. Zhang, “Energy-Efficient Task
Scheduling Algorithms with Human Intelligence Based Task Shuffling and Task
Relocation,” Proc. of 2011 IEEE/ACM International Conference on Green Computing
and Communications (GreenCom2011), Chengdu, Aug. 4-5, 2011.
13. G. Shen and Y.-Q. Zhang, “A
Shadow Price Guided Genetic Algorithm for Energy Aware Task Scheduling on Cloud
Computers,” Proc. of The
Second International Conference on Swarm Intelligence (ICSI'2011), Chongqing, June 12-15, 2011.
14. C.-T. D. Lo, K. Qian and
Y.-Q. Zhang, “A Simple
Low-Cost Portable Energy Efficient Device to Supplement Operating System
Curriculum,” Proc. of the 2011 IEEE International Conference on Advanced
Learning Technologies (ICALT 2011), Athens, July 6-8, 2011.
15. C.-T. D. Lo, K. Qian and
Y.-Q. Zhang, “Teaching
Operating Systems with Simple Low-Cost Portable Energy Efficient Devices,”
Proc. of the 48th Annual ACM Southeast Conference (ACMSE-2011), Athens, March
24-26, 2011.
16. L.M. Zhang, K. Li, and Y.-Q. Zhang, “Green Task Scheduling Algorithms with Speeds
Optimization on Heterogeneous Cloud Servers,” Proc. of 2010 IEEE/ACM
International Conference on Green Computing and Communications (GreenCom2010),
pp. 76-80, Hangzhou, Dec. 18-20, 2010.
17. G. Shen and Y.-Q. Zhang,
“Solving the Stock Reduction Problem with the Genetic Linear Programming
Algorithm,” Proc. of 2010 International Conference on
Computational and Information Sciences (ICCIS2010), Chengdu, Dec. 17-19, 2010.
18. L.M. Zhang, K. Li, and Y.-Q. Zhang, “Green Task Scheduling Algorithms with Energy Reduction
on Heterogeneous Computers,” Proc. of 2010 International Conference on
Progress in Informatics and Computing (PIC-2010), pp. 560-563, Shanghai,
Dec. 10-12, 2010.
19. Z. J. Ding and Y.-Q. Zhang, “Granular Neural Networks with Decision Fusion,” Proc. of 2010
IEEE International Conference on Granular Computing (IEEE-GrC2010), Silicon
Valley, Aug. 14-16, 2010.
20. Z. J. Ding and Y.-Q. Zhang, “An Effective Filtering
Gene Selection Method for Microarray Data via Shuffling and Statistical
Analysis,” Proc. of ACM International Conference on Bioinformatics and
Computational Biology (ACM-BCB 2010), Niagara Falls, Aug. 2-4, 2010.
21. G. Shen and Y.-Q. Zhang, “A Novel Shallow Price Guided Genetic
Algorithm,” Proc. of FLINS2010, EMei, Aug.
2-4, 2010.
22. A. Reyaz-Ahmed, N. Abu-halaweh, R. W. Harrison and Y.-Q. Zhang, “Protein
Model Assessment via Improved Fuzzy Decision Tree,” Proc. of BIOCOMP 2010,
Las Vegas,
July 12-15, 2010.
23. A. Reyaz-Ahmed, R. W.
Harrison and Y.-Q. Zhang, “3D Protein Model Assessment Using Geometric and
Biological Features,” Proceedings of SEDM 2010, Chengdu, June 23-25,
2010.
24. Z. J. Ding and Y.-Q. Zhang, “Additive Noise Analysis
on Microarray Data via SVM Classification,” Proc. of 2010 IEEE Symposium on
Computational Intelligence in Bioinformatics and Computational Biology,
Montreal, Canada, May 2-5, 2010.
25. L.M. Zhang, C. Dahlmann and
Y.-Q. Zhang, “Human-Inspired Algorithms for Continuous Function Optimization,”
Proc. of 2009 IEEE International Conference on Intelligent Computing and
Intelligent Systems, pp. 318-321, Shanghai, Nov. 20-22, 2009.
26. Y.Q. Chen, Y.-Q. Zhang and L.S. Peng, “A Novel Optimal Color Image Watermarking
Scheme,” Proc. of The Third International Conference on Genetic and
Evolutionary Computing (WGEC 2009), Guilin, China, Oct. 14-17, 2009.
27. Y.Q. Chen, Y.-Q. Zhang and L.H. Peng, “A DWT Domain Image Watermarking Scheme Using
Genetic Algorithm and Synergetic Neural Network,” Proc. of The Second International Symposium on Information Processing
(ISIP2009), Jiaxin, China, Aug. 21-23, 2009.
28. Z.J. Ding,
Y.-Q. Zhang, Nan Xie
and Y. G. Zheng, “Identifying New Methylation
Arginine via Granular Decision Fusion with SVM Modeling,” Proc. of 2009
International Joint Conference on Bioinformatics, Systems Biolog
Biology and Intelligent Computing, pp. 237-241, Shanghai, Aug. 3-5, 2009.
29. Y. Chen and Y.-Q. Zhang, “A Query Substitution-Search Result Refinement
Approach for Long Query Web Searches,” Proc. of 2009 IEEE/WIC/ACM International
Conference on Web Intelligence, Milan, Sept. 15-18, 2009.
30. H.L. Hou,
J.J. Wu, and Y.-Q. Zhang, “A Self-Adaptive Bayesian Model
for Epidemics Detection based on Dynamic Web Data,” Proc. of WORLDCOMP’09,
Las Vegas, July 13-16, 2009.
31. Z.J. Ding Y.-Q.
Zhang and Y. G. Zheng, “Feature Selection and
Granular SVM Classification for Protein Arginine Methylation Identification,”
Proc. of 2009 IEEE International Conference on Systems, Man, and Cybernetics,
San Antonio, Oct. 11-14, 2009.
32. V. Vaishnavi, A. Vandenberg
and Y.-Q. Zhang, “Towards Design Principles for
Effective Personalized Context- and Perspective-based Web Searching,”
Proc. DESRIST 2009, Malvern, May 7-8, 2009.
33. Y.J. Zhao, Y.-Q. Zhang and N.X. Xiong, “Biological Data Classification Using Rough Sets and
Support Vector Machines,” Proc. of NAFIPS 2009, Cincinnati, June 14-17,
2009. (the best student paper)
34. Y. Chen and Y.-Q. Zhang, “Exploring
Concepts' Semantic Relations for Clustering-based Query Senses Disambiguation,”
Proc. of RSKT 2009, Gold Coast, Australia, July 14-16 2009.
35. 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.
36. Y. Chen, Y.-Q. Zhang, N. B. Schultz and D. A. Washburn, “A Hybrid Machine Learning Method for Word Sense
Disambiguation,” SCiP2008, 2008. (poster)
37. 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.
38. 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.
39. Y. Chen, H.L. Hou, and Y.-Q.
Zhang, “A Personalized Semantic Web Search Agent Using Semantic Trees,” Proc.
of NAFIPS 2008, New York, May19-22, 2008.
40. 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), pp. 324-331, Chengdu, May 17-19, 2008.
41. 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), pp. 313-317, Silicon Valley, Nov. 2-4, 2007.
42. 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), pp. 129-132, Silicon Valley, Nov. 2-4, 2007.
43. 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.
44. Y.-Q. Zhang, B. Jin and Y.C. Tang, “Genetic Granular
Neural Networks,” Proc. of the Fourth International Symposium on
Neural Networks (ISNN2007), pp. 510-515, Nanjing, June 3-7, 2007.
45. 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), pp.
496-505, Atlanta, May 7-10, 2007.
46. L. Gu
and Y.-Q. Zhang, “Granular Web Shopping Experts,” Proc. of IEEE/WIC/ACM-WI2006,
pp. 902-904, Hong Kong, Dec. 18-22, 2006.
47. 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.
48. 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,
pp. 153-157, Hong Kong, Dec. 18, 2006.
49. C. Lin, J. Li, N. Barrett, Y.-Q. 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, Dec. 15-16, Beijing, 2006.
50. Anjum Reyaz-Ahmed, N. Barrett, Y.-Q. Zhang, and D. A. Washburn,
“Pattern Recognition Using Support Vector Machines and Human Persons,” The
Annual meeting of the Society for Computers in Psychology, Houston, TX,
November, 2006. (Poster).
51. 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.
52. 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.
53. 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.
54. 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), pp. 357-360, Las Vegas, June 26-29,
2006.
55. 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.
56. 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), pp. 922-927,
Chengdu, May 28-31, 2006.
57. 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, pp. 678-685, May 28-31, 2006.
58. 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.
59. 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.
60. 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.
61. 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.
62. 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.
63. 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.
64. 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.
65. 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), pp. 121-126, San Diego, Nov. 14-15, 2005.
(best student paper award)
66. 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), pp. 25-30, San Diego, Nov. 14-15, 2005.
67. D. A. Washburn, Y.-Q. Zhang, C. Lin, J. Li, and N.
Barrett, “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)
68. 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), pp. 249-250, Bremen, Germany, Oct. 31 - Nov. 5,
2005.
69. 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), pp. 290-293,
Minneapolis, Oct. 19 - 21, 2005.
70. 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.
71. 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.
72. X.J. Chen, R. Harrison and Y.-Q. Zhang, “Genetic Fuzzy
Fusion of SVM Classifiers for Biomedical Data,” Proc. of IEEE-CEC 2005,
pp. 654-659, Edinburgh, Sept. 2-5, 2005.
73. 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.
74. 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.
75. 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.
76. 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.
77. 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.
78. 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.
79. 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.
80. 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.
81. 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.
82. 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.
83. 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.
84. 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.
85. 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.
86. 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, pp. 299-308,
Singapore, May, 2005.
87. 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, pp. 468-475, May, 2005.
88. Y.-Q. Zhang, D. A. Washburn, J. Li and N. Barrett, “How
Relational Learning Emerges: A Granular Cognitive Neural Network Model,” the
Meeting of the American Psychological Society, Los Angeles, CA, May, 2005.
(Poster)
89. 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.
90. 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.
91. 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.
92. 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, “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.
93. 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.
94. 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.
95. H.B. Wang, Y.-Q. Zhang and R. Sunderraman,
“Soft Semantic Web Services Agent,” Proc. of NAFIPS2004, pp. 126-129,
Banff, June, 2004.
96. 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.
97. 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.
98. 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.
99. 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.
100. 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.
101. 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.
102. 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.
103. 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.
104. 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.
105. 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.
106. 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.
107. 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.
108. 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.
109. 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.
110. 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.
111. 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.
112. 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.
113. 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.
114. 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.
115. 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,” Proc. of the Sixth
Research Conference on Relational Marketing and CRM, Atlanta, June 6-12,
2002.
116. 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.
117. 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.
118. 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.
119. 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.
120. 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.
121. 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.
122. 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
123. 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.
124. 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.
125. 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.
126. 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.
127. Y.-Q. Zhang, “The Constructive 2-variable Granular
System with Universal Approximation,” Proc. of NAFIPS'2000, pp. 458-466,
Atlanta, July 13-16, 2000.
128. 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.
129. 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.
130. 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.
131. 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.
132. 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.
133. 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.
134. 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.
135. Y.-Q. Zhang and A. Kandel,
“The Application of Compensatory-Hybrid Technology in Pattern Recognition,”
Proc. of IPMU Congress’98, pp. 296-300, 1998.
136. 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.
137. 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.
138. Y.-Q. Zhang, “Fuzzy Neural Networks with Fast
Compensatory Learning Algorithms,” ICNN’96, (accepted), June, 1996.
139. Y.-Q. Zhang and A. Kandel,
“Genetic-Guided Compensatory Neurofuzzy Systems,”
Proc. of IPMU Congress'96, vol. I, pp. 181-185, 1996.
140. 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.
141. 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.
142. 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.
143. 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.
144. Y.-Q. Zhang, “Complete and Incomplete Folded-Crossed Hypercubes,” the 7th IASTED International Conf. on Parallel and Distributed Computing and Systems,
(accepted), Oct. 1995.
145. Y.-Q. Zhang, “Incomplete Crossed Hypercubes,”
ISCA Eighth International Conference On Parallel And
Distributed Computing Systems, (accepted), Sept. 1995.
146. Y.-Q. Zhang, “Intelligent Computer Systems and I Ching,” the first Conference on Human Science Research,
Tianjin, Aug. 15-20, 1989, (in Chinese).
147. 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.
148. Y.-Q. Zhang, “Informational Unit Generic-system
Networks,” Learning and Recognition- International Workshop on Neural
Networks, Beijing, 1988.
149. Y.-Q. Zhang, “On Fuzzy Information Retrieval
Techniques,” the 2nd National Knowledge Engineering Symposium, 1988 (in
Chinese).
150. 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).
151. Y.-Q. Zhang, “The Sixth Generation: The Fuzzy
Intelligent Computer,” the 2nd International Conf. on Computers and
Applications, June 23-27, 1987.
152. Y.-Q. Zhang, “On Distributed Fuzzy Relational
Databases,” the 5th National Conf. on Micro-Computers and Their Applications,
June 23-27, 1986.
153. 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).
5) Video
1. Y.-Q. Zhang, et
al., “How to Use PC Operating Systems,” Chinese High Education Publisher, 1987.