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 (eds.), “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. 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.
6. 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.
7. 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.
8. 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 (64)
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, vol. 39, no. 1, pp. 281 -
288, Feb. 2009.
2.
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.
3.
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.
4.
Y.-Q. Zhang and Y. Pan, “Incomplete
Crossed Hypercubes,” Journal of Supercomputing,
2009.
5.
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, 2009.
6. 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.
7. L. Lu and Y.-Q. Zhang, “Distributed Fuzzy Mobile Agents for e-Commerce,” International Journal of Computational Intelligence Research, 2009.
8.
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, 2009.
9.
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.
10.
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.
11. 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.
12. 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.
13. 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.
14. 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.
15. 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.
16. 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.
17. 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.
18. 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.
19.
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.
20. 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.
21. 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.
22. 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.
23. 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.
24. 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.
25. 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.
26. 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.
27. 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.
28. 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.
29. 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.
30. 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.
31. 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.
32. 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.
33. 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.
34. 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.
35. 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.
36. 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.
37. Y.-Q. Zhang, “Folded-Crossed Hypercube: A Complete
Interconnection Network,” Journal of System Architecture, vol.
47, no. 11, pp. 917-922, May 2002.
38. Y.-Q. Zhang,
39. 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.
40. 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.
41. 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.
42. Y.-Q. Zhang and A. Kandel, “Fuzzy Moves Using
43. 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.
44. I.B. Turksen, A. Kandel and Y.-Q. Zhang, “
45. 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.
46. I.B. Turksen, A. Kandel and Y.-Q. Zhang, “Universal
Truth Tables and
47. Y.-Q. Zhang and A. Kandel, “Primary‑Fuzzy‑Sets‑Based
48. 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.
49. 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.
50. 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.
51. A. Kandel, Y.-Q. Zhang and
52. 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.
53. A. Kandel and Y.-Q. Zhang, “Fuzzy Moves,” Fuzzy Sets and Systems, vol. 99, no.
3, pp. 159‑177, 1998.
54. Y.-Q. Zhang and A. Kandel, “Fuzzy CPU Scheduling,” International Journal of
Artificial Intelligence Tools, vol. 6, no. 3, pp. 211‑225, 1997.
55. 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.
56. 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.
57. 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.
58. 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).
59. 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).
60. 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).
61. Y.-Q. Zhang, “Fuzzy Information Retrieval,” Computer
Research and Development, vol. 25, no. 10, pp. 35‑38, 1988 (in
Chinese).
62. Y.-Q. Zhang, “Research in Fuzzy Relational Databases,”
Computer Research and Development, vol. 24, no. 8, pp. 57‑60,
1987 (in Chinese).
63. Y.-Q. Zhang, “On Distributed Fuzzy Relational
Databases,” Microcomputers, vol. 7, no. 3, pp. 42-49, 1987 (in
Chinese).
64. Y.-Q. Zhang, “3C Technology for Intelligent Aviation
and Space Navigation,” Journal of Space Navigation, 1985 (in
Chinese).
1. Y.-Q. Zhang, “Granular Neural Networks,” Encyclopedia of Complexity & System Science, Robert Meyers (ed.), Springer, 2009.
2. Z.J. Ding and Y.-Q. Zhang, “Fuzzy Logic,” The Handbook of Technology Management, H. Bidgoli (ed.), John Wiley & Sons, 2009.
3. 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, 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,
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
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.
1. 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.
2. 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.
3. 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.
4. Z.J. Ding, Y.-Q. Zhang and Y. G. Zheng, “Feature Selection and Granular SVM Classification for Protein Arginine Methylation Identification,” Proc. of IEEE -SMC2009, San Antonio, Oct. 11-14, 2009.
5. Y. Chen and Y.-Q. Zhang, “A Query Substitution-Search Result Refinement Approach for Long Query Web Searches,” Proc. of IEEE/WIC/ACM-WI2009, Milan, Sept. 15-18, 2009.
6. 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.
7. H.L. Hou, J.J. Wu and Y.-Q. Zhang, “A Self-Adaptive Bayesian Model for Epidemics Detecting based on Searching Data,” Proc. of BIOCOMP'09, Las Vegas, July 13-16, 2009.
8. 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. (best student paper award)
9. V. Vaishnavi, A. Vandenberg and Y.-Q. Zhang, “Towards Design Principles for Effective Personalized Context- and Perspective-based Web Searching,” Proc. of DESRIST 2009, Malvern, May 7-8, 2009.
10. 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), New Orleans, Nov. 30- Dec. 4, 2008.
11. Y. Chen, Y.-Q. Zhang, N. B. Schultz and D. A. Washburn, “A Hybrid Machine Learning Method for Word Sense Disambiguation,” SCiP2008, 2008. (Poster)
12. 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), Hangzhou, China, Aug. 26-28, 2008.
13. 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.
14. Y. Chen, H.L. Hou, and Y.-Q. Zhang, “A Personalized Semantic Web Search Agent Using Fuzzy Semantic Trees and Genetic Algorithms,” Proc. of NAFIPS 2008, New York, May 19-22, 2008.
15. 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.
16. 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,
17. 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,
18. 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,
19. Y.-Q.
Zhang, B. Jin and Y.C. Tang, “Genetic
Granular Neural Networks,” Proc.
of the Fourth International
Symposium on Neural Networks (ISNN2007),
20. 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.
21. L. Gu and Y.-Q. Zhang, “Granular Web Shopping
Experts,” IEEE/WIC/ACM-WI2006,
22. 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),
23. 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,
24. 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.
25. 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)
26. B. Jin
and Y.-Q. Zhang, “Classifying Very Large Data Sets with Minimum
Enclosing Ball Based Support Vector Machine,” Proc. of FUZZ-IEEE2006,
27. X.J. Chen, R. Harrison, Y.-Q. Zhang and Y. Qiu, “A
Multi-SVM Fusion Model Using Type-2 FLS,” Proc. of FUZZ-IEEE2006,
28. 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,
30. 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.
31. 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),
32. 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.
33. 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),
34. 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),
35. 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),
36. 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),
37. 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),
38. X.H.
T. Hu, X. Zhang,
39. 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,
40. 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),
41. 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),
42. 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)
43. X.H.
T. Hu,
44. 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),
45. 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),
46. 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),
47. X.J. Chen, R.
Harrison and Y.-Q. Zhang, “Genetic Fuzzy Fusion of SVM Classifiers for
Biomedical Data,” Proc. of IEEE-CEC 2005,
48. Y.
Qiu, Y.-Q. Zhang and Y. Zhao, “Statistical Interval-Valued
Fuzzy Systems via Linear Regression,” Proc. of IEEE-GrC
2005, pp. 229-232,
49. 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,
50. 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,
51. H.B.
Wang, Y.-Q. Zhang and R. Sunderraman, “Truth-Value
Based Interval Neutrosophic Sets,” Proc. of IEEE-GrC 2005, pp. 274-277,
52. 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,
53. 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.
54. 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.
55. 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.
56. 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.
57. B. Jin and Y.-Q.
Zhang, “Support Vector Machines with Evolutionary Feature Weights Optimization
for Biomedical Data Classification,” Proc. of NAFIPS 2005,
58. 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.
59. 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,
60. 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,
61. 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,
62. 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.
63. 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.
64. 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)
65. 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.
66. 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.
67. 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,
68. 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.
69. 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.
70. M.L.
Tang, Y.-Q. Zhang and G. Zhang, “Type-2
Fuzzy Web Shopping Agents,” Proc. of IEEE/WIC/ACM-WI2004, pp.
499-503,
71. H.B. Wang, Y.-Q. Zhang and R. Sunderraman, “Soft Semantic Web Services Agent,” Proc. of NAFIPS2004,
pp. 126-129,
72. 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,
73. 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.
74. 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.
75. 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.
76. 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.
77. 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,
78. 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.
79. 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,
80. 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,
81. 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.
82. 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,
83. 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.
84. 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,
85. 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,
86. 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.
87. S.K. Prasad, M. Weeks, Y.-Q. Zhang,
A. Zelikovsky,
88. 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,
89. 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,
90. 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,
91. 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.
92. 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,
93. 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,
94. 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,
95. 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.
96. 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,
97. 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,
98. 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,
99. 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.
100.
Y.-Q. Zhang,
101. 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.
102.
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,
103.
Y.-Q. Zhang, “The Constructive 2-variable Granular
System with Universal Approximation,”
Proc. of NAFIPS'2000, pp. 458-466,
104. 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.
105. 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.
106. 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.
107.
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,
108.
Y.-Q. Zhang, M. Ma and A. Kandel,
“Piecewise constructive approach to constructing fuzzy systems,” Proc. of SPIE'99, vol. 3722,
pp. 48-56,
109. 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.
110. 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.
111. Y.-Q. Zhang and A. Kandel, “The Application of Compensatory-Hybrid Technology in Pattern Recognition,” Proc. of IPMU Congress’98, pp. 296-300, 1998.
112. 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.
113.
Y.-Q. Zhang, A. Kandel and M.
Henne, “On
114. Y.-Q. Zhang, “Fuzzy Neural Networks with Fast Compensatory Learning Algorithms,” ICNN’96, (accepted), June, 1996.
115. Y.-Q. Zhang and A. Kandel, “Genetic-Guided Compensatory Neurofuzzy Systems,” Proc. of IPMU Congress'96, vol. I, pp. 181-185, 1996.
116. 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.
117.
Y.-Q. Zhang and A. Kandel, “
118. 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.
119.
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.
120. Y.-Q. Zhang, “Complete and Incomplete Folded-Crossed Hypercubes,” the 7th IASTED International Conf. on Parallel and Distributed Computing and Systems, (accepted), Oct., 1995.
121. Y.-Q. Zhang, “Incomplete Crossed Hypercubes,” ISCA Eighth International Conference On Parallel And Distributed Computing Systems, (accepted), Sept., 1995.
122.
Y.-Q. Zhang, “Intelligent Computer Systems and I Ching,” the first Conference on Human Science Research,
123. 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.
124. Y.-Q. Zhang, “Informational Unit Generic-system Networks,” Learning and Recognition- International Workshop on Neural Networks, Beijing, 1988.
125. Y.-Q. Zhang, “On Fuzzy Information Retrieval Techniques,” the 2nd National Knowledge Engineering Symposium, 1988 (in Chinese).
126. 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).
127. Y.-Q. Zhang, “The Sixth Generation: The Fuzzy Intelligent Computer,” the 2nd International Conf. on Computers and Applications, June 23-27, 1987.
128. Y.-Q. Zhang, “On Distributed Fuzzy Relational Databases,” the 5th National Conf. on Micro-Computers and Their Applications, June 23-27, 1986.
129. 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).
1. Y.-Q. Zhang, et al., “How to Use PC Operating Systems,” Chinese High Education Publisher, 1987.