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唐  珂


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唐  珂

 

电 话: (0551)63600547

E-Mail: ketang@ustc.edu.cn

个 人 主页:http://staff.ustc.edu.cn/~ketang/

实验室主页:http://nical.ustc.edu.cn/

主要研究方向

计算智能、演化计算、机器学习、智能优化、数据挖掘。 

唐珂,男,1981 年7月生,博士,教授,IEEE高级会员。2002年于华中科技大学获学士学位;2007年于新加坡南洋理工大学获博士学位。目前担任《IEEE Computational Intelligence Magazine》、《Computational Optimization and Applications》、《Natural Computing》等国际期刊的副编或编委,IEEE 计算智能协会新兴技术委员会委员。已在国际主要学术刊物和学术会议上发表论文90余篇。

 

国际学术会议任职:

01 Technical Co-Chair of the 10th International Conference on Simulated Evolution And Learning (SEAL2014), December 15-18, 2014, Dunedin, New Zealand.
02 Technical Committee Co-Chair of the 5th International Conference on Swarm Intelligence (ICSI2014), October 17-20, 2014, Hefei, Anhui, China.
03 Program Co-chair of the 14th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL'2013), Hefei, Anhui, China.
04 Technical Co-chair of the 2013 IEEE Congress of Evolutionary Computation (CEC2013), Cancun, Mexico.
05 Program Co-chair of the 2010 IEEE Congress of Evolutionary Computation (CEC2010), Barcelona, Spain.

 

获 奖 情 况

   

2012年入选教育部新世纪优秀人才支持计划

2011年“面向复杂优化问题的自适应集成进化计算理论与方法”获教育部自然科学二等奖(排名第1)

2011年获安徽省杰出青年科学基金资助

2009年获中国科学技术大学校友基金会优秀青年教师奖。 
 

主 要 论 著

   

[01]  L. Wan, K. Tang*, M. Li, Y. Zhong and A. K. Qin, “Collaborative Active and Semi-supervised Learning for Hyperspectral Remote Sensing Image Classification,” IEEE Transactions on Geoscience and Remote Sensing, accepted on 14 September 2014.
[02] P. Yang, K. Tang* and X. Lu, “Improving Estimation of Distribution Algorithm on Multi-modal Problems by Detecting Promising Areas,” IEEE Transactions on Cybernetics, accepted on 22 August 2014.
[03] X. Yang, K. Tang* and X. Yao, “A Learning-to-Rank Approach to Software Defect Prediction,” IEEE Transactions on Reliability, accepted on 10 July 2014.
[04] K. Tang, F. Peng, G. Chen and X. Yao, “Population-based Algorithm Portfolios with automated constituent algorithms selection,” Information Sciences, 279: 94-104, September 2014.
[05] L. Li and K. Tang*, “History-Based Topological Speciation for Multimodal Optimization,” IEEE Transactions on Evolutionary Computation, in press (DOI: 10.1109/TEVC.2014.2306677).
[06] P. Wang, M. Emmerich, R. Li, K. Tang*, T. Baeck and X. Yao, “Convex Hull-Based Multi-objective Genetic Programming for Maximizing Receiver Operating Characteristic Performance,” IEEE Transactions on Evolutionary Computation, in press (DOI: 10.1109/TEVC.2014.2305671).
[07] X. Lu, K. Tang, B. Sendhoff and X. Yao, “A Review of Concurrent Optimization Methods,” International Journal of Bio-inspired Computation, 6(1): 22-31, March 2014.
[08] T. Weise, M. Wan, P. Wang, K. Tang*, A. Devert and X. Yao, “Frequency Fitness Assignment,” IEEE Transactions on Evolutionary Computation, 18(2): 226-243, April 2014.
[09] M. Lin, K. Tang* and X. Yao, “Dynamic Sampling Approach to Training Neural Networks for Multiclass Imbalance Classification,” IEEE Transactions on Neural Networks and Learning Systems, 24(4): 647-660, April 2013.
[10] X. Lu and K. Tang*, “Classification- and Regression-Assisted Differential Evolution for Computationally Expensive Problems,” Journal of Computer Science and Technology, 27(5): 1024-1034, September 2012.
[11]  R. Wang and K. Tang*, “Feature Selection for MAUC Oriented Classification Systems,” Neurocomputing, 89: 39-54, July 2012.
[12] T. Chen, K. Tang*, G. Chen and X. Yao, “A Large Population Size Can Be Unhelpful in Evolutionary Algorithms,” Theoretical Computer Science, 436: 54-70, June 2012.
[13] A. Devert, T. Weise and K. Tang, “A Study on Scalable Representations for Evolutionary Optimization of Ground Structures,” Evolutionary Computation, 20(3): 453-472, January 2012.
[14] Y. Mei, K. Tang* and X. Yao, “A Memetic Algorithm for Periodic Capacitated Arc Routing Problem,” IEEE Transactions on Systems, Man, and Cybernetics: Part B, 41(6): 1654-1667, December 2011.
[15] T. Weise and K. Tang, “Evolving Distributed Algorithms with Genetic Programming,” IEEE Transactions on Evolutionary Computation, 16(2): 242-265, April 2012.
[16] Z. Yang, K. Tang* and X. Yao, “Scalability of Generalized Adaptive Differential Evolution for Large-Scale Continuous Optimization,” Soft Computing, 15(11): 2141-2155, November 2011.
[17] Y. Mei, K. Tang* and X. Yao, “Decomposition-Based Memetic Algorithm for Multiobjective Capacitated Arc Routing Problem,” IEEE Transactions on Evolutionary Computation, 15(2): 151-165, April 2011.
[18] Z. Wang, K. Tang* and X. Yao, “A Memetic Algorithm for Multi-level Redundancy Allocation,” IEEE Transactions on Reliability, 59(4): 754-765, December 2010.
[19] Z. Wang, K. Tang* and X. Yao, “Multi-objective Approaches to Optimal Testing Resource Allocation in Modular Software Systems,” IEEE Transactions on Reliability, 59(3): 563-575, September 2010.
[20] F. Peng, K. Tang*, G. Chen and X. Yao, “Population-based Algorithm Portfolios for Numerical Optimization,” IEEE Transactions on Evolutionary Computation, 14(5): 782-800, October 2010.
[21] T. Chen, K. Tang*, G. Chen and X. Yao, “Analysis of Computational Time of Simple Estimation of Distribution Algorithms,” IEEE Transactions on Evolutionary Computation, 14(1): 1-22, February 2010.
[22] 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.
[23] 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.
[24] 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.

 

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