Welcome to Ke Tang's homepage

My research interests:

• Maching Learning and Pattern Analysis
• Evolutionary Computation
• Data Mining
• Meta-heuristic Algorithms
• Various Real-world Applications

Professional activities:

• Member of IEEE and IEEE Computational Intelligence Society (CIS)
  
  
• Founding Chair of IEEE Task Force on Large Scale Global Optimization, Evolutionary Computation Technical Committee, IEEE Computational Intelligence Society (2007 - )
  webpage of the Task Force
  
  
• Member of Continuing Education Sub-Committee, IEEE Computational Intelligence Society (2009)
  
  
• Member of Task Force on Evolutionary Computation in Dynamic and Uncertain Environments, Evolutionary Computation Technical Committee, IEEE Computational Intelligence Society (2008 - )
  
  
• Associate Editor of Computational Intelligence Magazine
  
  
• Guest Editor of the special issue of Information Sciences Journal (Elsevier) on "Nature Inspired Problem-Solving: Theories and Applications", 2008. (Editorial available HERE)
  
  
• Guest Editor of the special issue of Frontiers of Computer Science in China (Springer) on "From Nature to Computing and Back", March 2009. (Editorial available HERE)
  
  
• Chair/Organizer of Academic Events
  Program Co-chair of the 2010 IEEE Congress of Evolutionary Computation (CEC2010), to be held in Barcelona, Spain.
  Publicity Co-Chair of the 2009 IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA 2009), November 15-18, 2009, Daejeon, Korea.
  Co-Chair of The 2008 International Workshop on Nature Inspired Computation and Applications (IWNICA'08)
  Chair of the Special session and Competiton on Large Scale Global Optimization at CEC2008(WCCI2008)
  
  
• Program committee member of
  The 5th International Conference on Hybrid Artificial Intelligence Systems (HAIS'10), June 23-25, 2010, San Sebasti¨¢n, Spain.
  The 7th European Workshop on Evolutionary Algorithms in Stochastic and Dynamic Environments (EvoSTOC2009), 7-9 April, 2010, Istanbul, Turkey.
  The 2009 International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'09), September 23-26, Burgos, Spain.
  The 2009 International Conference on Soft Computing and Pattern Recognition (SoCPaR'09), December 4-7, Malacca, Malaysia.
  The 2009 World Congress on Nature and Biological Inspired Computing (NABIC'09), December 9-11, 2009, Coimbatore, India.
  The 8th International Conference on Machine Learning and Cybernetics (ICMLC'09), July 12-15, 2009, Baoding, Hebei, China.
  The 4th International Conference on Hybrid Artificial Intelligence Systems (HAIS'09), June 10-12, 2009, Salamanca, Spain.
  The 2009 IEEE Congress on Evolutionary Computation (CEC'09), May 18-21, 2009, Trondheim, Norway.
  The 2nd European Workshop on Bio-inspired algorithms for continuous parameter optimization (EvoNUM'09), April 15-17, 2009, Eberhard Karls Universitat, Tubingen, Germany.
  The 2009 IEEE Workshop on Memetic Algorithms (WOMA'09), March 30-April 2, 2009, Nashville, TN, USA.
  The 15th International Conference on Neural Information Processing (ICONIP'08), November 25-28, 2008, Auckland, New Zealand.
  The 7th International Conference on Simulated Evolution And Learning (SEAL'08), December 7-10, 2008, Melbourne, Australia.
  The 7th IEEE International Conference on Cybernetic Intelligent Systems, September 9-10, 2008, London, UK.
  The 7th International Conference on Machine Learning and Cybernetics (ICMLC'08), July 12-15, 2008, Kunming, China.
  The 3rd International Workshop on Hybrid Artificial Intelligence Systems (HAIS'08), September 24-26, Burgos, Spain.
  Workshop cum Summer School on Evolutionary Computing (WSSEC'08), August 18-22, 2008, Northern Ireland.
  The 21st International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE'08), June 18-20, 2008, Wroclaw, Poland.
  The First European Workshop on Bio-inspired Algorithms for Continuous Parameter Optimisation (EvoNUM'08), March 26-28, 2008, Napoli, Italy.
  IEEE SMC UK&RI 6th Conference on Cybernetic Systems, September 6-7, 2007, Dublin, Republic of Ireland.
  The 6th International Conference on Machine Learning and Cybernetics (ICMLC'07), August 19-22, 2007, Hong Kong, China.
  
  
• Referee for more than 10 international journals.

Teaching:

• Pattern Recognition(CS05148)

Note: Publications listed below are made on-line available for faster dissemination. The copyright of the papers is owned by their publisher.

Refereed Journal Papers:

1. T. Chen, K. Tang, G. Chen, and X. Yao, "Analysis of Computational Time of Simple Estimation of Distribution Algorithms," IEEE Transactions on Evolutionary Computation, accepted, May 2009.
   
   
2. K. Tang, Y. Mei and X. Yao, "Memetic Algorithm with Extended Neighborhood Search for Capacitated Arc Routing Problems," IEEE Transactions on Evolutionary Computation, 13(5): 1151-1166, October 2009.
   available as a PDF here, Source code can be downloaded here
   
   
3. K. Tang, G. Pugalenthi, P. N. Suganthan, C. J. Lanczycki and S. Chakrabarti, "Prediction of functionally important sites from protein sequences using sparse kernel least squares classifiers," Biochemical and Biophysical Research Communications, 384(2): 155-159, June 2009.
   
   
4. G. Pugalenthi, K. Tang, P. N. Suganthan and S. Chakrabarti, "Identification of structurally conserved residues of proteins in absence of structural homologs using neural network ensemble," Bioinformatics, 25(2): 204-210, 2009. (doi:10.1093/bioinformatics/btn618)
   available as a PDF here
   
   
5. Y. Mei, K. Tang and X. Yao, "A Global Repair Operator for Capacitated Arc Routing Problem," IEEE Transactions on Systems, Man, and Cybernetics: Part B, 39(3): 723-734, June 2009.
   available as a PDF here, Source code of RTS* can be downloaded here
   
   
6. X. Yu, K. Tang, T. Chen and X. Yao, "Empirical Analysis of Evolutionary Algorithms with Immigrants Schemes for Dynamic Optimization," Memetic Computing, 1(1): 3-24, 2009. (doi: 10.1007/s12293-008-0003-6)
   available as a PDF here
   
   
7. K. Tang, M. Lin, F. L. Minku and X. Yao, "Selective Negative Correlation Learning Approach to Incremental Learning," Neurocomputing, in press.
   
   
8. Z. Yang, K. Tang and X. Yao, "Large Scale Evolutionary Optimization Using Cooperative Coevolution," Information Sciences, 178(15): 2985-2999, 2008.
   available as a PDF here, Source code of DECC-G can be downloaded here
   
   
9. G. Pugalenthi, K. Tang, P. N. Suganthan, G. Archunan and R. Sowdhamini, "A Machine Learning Approach for the Identification of Odorant binding Proteins from Sequence-derived Properties," BMC-Bioinformatics, 8:351, September 2007. (Co-first author with G. Pugalenthi)
   
   
10. E. K. Tang, P. N. Suganthan, X. Yao, "Gene Selection Algorithms for Microarray Data Based on Least Square Support Vector Machine," BMC-Bioinformatics, 7:95, 27 February 2006.
    
    
11. E. K. Tang, P. N. Suganthan, X. Yao, "An Analysis of Diversity Measures," Machine Learning, 65: 247-271, 2006.
    
    
12. E. K. Tang, P. N. Suganthan, X. Yao and A. K. Qin, "Linear Dimensionality Reduction Using Relevance Weighted LDA," Pattern Recognition, 38(4):485-493, April 2005.
    
    

Selected Conference Papers:

1. T. Chen, P. K. Lehre, K. Tang and X. Yao, "When Is an Estimation of Distribution Algorithm Better than an Evolutionary Algorithm?," in Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC2009), Trondheim, Norway, 2009, IEEE Press, pp. 1470-1477.
   
   
2. Z. Wang, K. Tang and X. Yao, "A Multi-objective Approach to Testing Resource Allocation in Modular Software Systems," in Proceedings of the 2008 IEEE Congress on Evolutionary Computation (CEC2008), Hongkong, China, 2008, pp. 1148-1153.
   
   
3. Z. Yang, K. Tang and X. Yao, "Self-adaptive Differential Evolution with Neighborhood Search," in Proceedings of the 2008 IEEE Congress on Evolutionary Computation (CEC2008), Hongkong, China, 2008, pp. 1110-1116.
   available as a PDF here, Source code can be downloaded here
   
   
4. Z. Yang, K. Tang and X. Yao, "Multilevel Cooperative Coevolution for Large Scale Optimization," in Proceedings of the 2008 IEEE Congress on Evolutionary Computation (CEC2008), Hongkong, China, 2008, pp. 1663-1670.
   
   
5. E. K. Tang, P. N. Suganthan, X. Yao, "Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization," in Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB05), San Diego, USA, November 2005, pp. 9-17.
   
   

Last updated at December 6, 2009.