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唐珂

（中國科學技術大學教授）

鎖定
唐珂，男，1981 年7月生，博士，教授、自然計算與應用實驗室常務副主任。2002年畢業於華中科技大學控制科學與工程系，獲學士學位；2007年於新加坡南洋理工大學電機與電子工程學院獲博士學位。
主要研究方向：機器學習、模式識別、計算智能、數據挖掘，以及相關的應用研究。 [1] 
中文名
唐珂
國    籍
中國
民    族
漢族
出生日期
1981 年7月
畢業院校
華中科技大學控制科學與工程系
性    別
男

目錄

  1. 1 學術活動
  2. 2 主要論著

唐珂學術活動

· Chair of IEEE Task Force on Large Scale Global Optimization (IEEE CIS, Evolutionary Computation Technical Committee)
· Guest Editor of the special issue of Information Sciences Journal (Elsevier) on “Nature Inspired Problem Solving: Theories and Applications”, 2007.
· Program committee member of
1. 7th IEEE International Conference on Cybernetic Intelligent Systems, September 9-10, 2008, London, UK.
2. 7th International Conference on Machine Learning and Cybernetics (ICMLC2008), July 12-15, 2008, Kunming, China.
3. 3rd International Workshop on Hybrid Artificial Intelligence Systems (HAIS2008), September 24-26, Burgos, Spain.
4. Workshop cum Summer School on Evolutionary Computing (WSSEC2008), August 18-22, 2008, Northern Ireland.
5. The Twenty First International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA-AIE2008), June 18-20, 2008, Wroclaw, Poland.
6. The First European Workshop on Bio-inspired Algorithms for Continuous Parameter Optimisation (EvoNUM), March 26-28, 2008, Napoli, Italy.
7. IEEE SMC UK&RI 6th Conference on Cybernetic Systems, September 6-7, 2007, Dublin, Republic of Ireland.
8. 6th International Conference on Machine Learning and Cybernetics (ICMLC2007), August 19-22, 2007, Hong Kong, China.

唐珂主要論著

1. G. Pugalenthi, Ke Tang, P. N. Suganthan, G. Archunan and R. Sowdhamini, "A Machine Learning Approach for The Identification of Odorantbinding Proteins from Sequence-derived Properties," BMC-Bioinformatics, 8:351, September 2007.
2. E. K. Tang, P. N. Suganthan, X. Yao, "Gene Selection for Microarray Data Based on Least Squares Support Vector Machine," BMC-Bioinformatics, 7:95, 27 February 2006.
3. E. K. Tang, P. N. Suganthan, X. Yao, "An Analysis of Diversity Measures," Machine Learning, 65: 247-271, 2006.
4. E. K. Tang, P. N. Suganthan, X. Yao and A. K. Qin, "Linear Dimensionality Reduction Using Relevance Weighted LDA," 38(4):485-493, Pattern Recognition, April 2005.
5. Tianshi Chen, Ke Tang, Guoliang Chen and Xin Yao, “On the Analysis of Average Time Complexity of Estimation of Distribution Algorithms,” Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, 2007.
6. Zhenyu Yang, Ke Tang and Xin Yao, “Differential Evolution for High-Dimensional Function Optimization,” Proceedings of 2007 IEEE Congress on Evolutionary Computation (CEC2007), Singapore, 2007.
7. A. Ashish, G. Fogel, E. K. Tang and P. N. Suganthan, “Feature Selection Approach for Quantitative Prediction of Transcriptional Activities,” Proceedings of the 2006 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology 2006.
8. E. K. Tang, P. N. Suganthan, X. Yao, "Feature Selection for Microarray Data Using Least Squares SVM and Particle Swarm Optimization," Proceedings of the 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology (CIBCB), San Diego, USA, pp. 9-17, November 2005.
9. E. K. Tang, P. N. Suganthan and X. Yao, "Nonlinear Feature Extraction Using Evolutionary Algorithm," 11th Int. Conference on Neural Information Processing, Calcutta, India, LNCS Vol. 3316, pp. 1014-1019, November 2004.
10. E. K. Tang, P. N. Suganthan and X. Yao, “Generalized LDA Using Relevance Weighting and Evolution Strategy,” Proceedings of the 2004 Congress on Evolutionary Computation, Portland, USA, Vol. 2, pp. 2230-2234, June 2004.
參考資料