Ke Tang

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Xin YaoSouthern University of Science and Technology, University of Birmingham (UK) and NORCE (Norway)Verified email at cs.bham.ac.uk
Zhenyu YangZhuiyi Inc.Verified email at wezhuiyi.com
Chao QianNanjing UniversityVerified email at nju.edu.cn
Dr. P. N. Suganthan (SCI Highly Cited...Some Codes available at GitHub, (Hon. Doctorate, U. of Maribor, 2020 ; BA & MA, U. of Cambridge, UK)Verified email at ntu.edu.sg
Thomas WeiseInstitute of Applied Optimization, Hefei UniversityVerified email at hfuu.edu.cn
Peng Yang (杨鹏)Tenure-Track Assistant Professor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
Kai (Alex) QinSwinburne University of TechnologyVerified email at swin.edu.au
Yi MeiSenior Lecturer, Victoria University of WellingtonVerified email at ecs.vuw.ac.nz
Zhi-Hua ZhouNanjing UniversityVerified email at nju.edu.cn
Yang YuProfessor, Nanjing UniversityVerified email at nju.edu.cn
Yaochu JinA. v. Humboldt Professor for AI, Bielefeld University and Distinguished Chair, University of SurreyVerified email at uni-bielefeld.de
Bernhard SendhoffHonda Research Institute EuropeVerified email at honda-ri.de
Zexuan ZhuShenzhen UniversityVerified email at szu.edu.cn
Shengcai LiuSouthern University of Science and Technology of ChinaVerified email at sustech.edu.cn
Shan HeAssociate Professor in computer science, the University of BirminghamVerified email at cs.bham.ac.uk
Fei Penguniversity of science and technology of chinaVerified email at mail.ustc.edu.cn
Pu WangResearch Fellow, Nanyang Technological UniversityVerified email at mail.ustc.edu.cn
Yunwen LeiUniversity of BirminghamVerified email at bham.ac.uk
Professor Kay Chen TANDepartment of Computing, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
Haobo FuTencent AI Lab, University of BirminghamVerified email at tencent.com

Ke Tang

Professor, Southern University of Science and Technology

Verified email at sustech.edu.cn

Artificial Intelligence Evolutionary Computation Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Large scale evolutionary optimization using cooperative coevolution Z Yang, K Tang, X Yao Information sciences 178 (15), 2985-2999, 2008	956	2008
Benchmark functions for the CEC’2008 special session and competition on large scale global optimization K Tang, X Yáo, PN Suganthan, C MacNish, YP Chen, CM Chen, Z Yang Nature inspired computation and applications laboratory, USTC, China 24, 1-18, 2007	935	2007
Many-objective evolutionary algorithms: A survey B Li, J Li, K Tang, X Yao ACM Computing Surveys (CSUR) 48 (1), 1-35, 2015	633	2015
An analysis of diversity measures EK Tang, PN Suganthan, X Yao Machine learning 65 (1), 247-271, 2006	472	2006
Self-adaptive differential evolution with neighborhood search Z Yang, K Tang, X Yao 2008 IEEE congress on evolutionary computation (IEEE World Congress on …, 2008	413	2008
Benchmark functions for the CEC 2013 special session and competition on large-scale global optimization X Li, K Tang, MN Omidvar, Z Yang, K Qin, H China gene 7 (33), 8, 2013	356	2013
Multilevel cooperative coevolution for large scale optimization Z Yang, K Tang, X Yao 2008 IEEE congress on evolutionary computation (IEEE World Congress on …, 2008	352	2008
Differential evolution for high-dimensional function optimization Z Yang, K Tang, X Yao 2007 IEEE congress on evolutionary computation, 3523-3530, 2007	231	2007
Population-based algorithm portfolios for numerical optimization F Peng, K Tang, G Chen, X Yao IEEE Transactions on evolutionary computation 14 (5), 782-800, 2010	215	2010
Large-scale global optimization using cooperative coevolution with variable interaction learning W Chen, T Weise, Z Yang, K Tang International Conference on Parallel Problem Solving from Nature, 300-309, 2010	214	2010
Decomposition-based memetic algorithm for multiobjective capacitated arc routing problem Y Mei, K Tang, X Yao IEEE Transactions on Evolutionary Computation 15 (2), 151-165, 2011	203	2011
Memetic algorithm with extended neighborhood search for capacitated arc routing problems K Tang, Y Mei, X Yao IEEE Transactions on Evolutionary Computation 13 (5), 1151-1166, 2009	190	2009
Dynamic sampling approach to training neural networks for multiclass imbalance classification M Lin, K Tang, X Yao IEEE Transactions on Neural Networks and Learning Systems 24 (4), 647-660, 2013	158	2013
Stochastic ranking algorithm for many-objective optimization based on multiple indicators B Li, K Tang, J Li, X Yao IEEE Transactions on Evolutionary Computation 20 (6), 924-938, 2016	155	2016
Online ensemble learning of data streams with gradually evolved classes Y Sun, K Tang, LL Minku, S Wang, X Yao IEEE Transactions on Knowledge and Data Engineering 28 (6), 1532-1545, 2016	135	2016
Evolutionary optimization: Pitfalls and booby traps T Weise, R Chiong, K Tang Journal of Computer Science and Technology 27 (5), 907-936, 2012	129	2012
Linear dimensionality reduction using relevance weighted LDA EK Tang, PN Suganthan, X Yao, AK Qin Pattern recognition 38 (4), 485-493, 2005	125	2005
A learning-to-rank approach to software defect prediction X Yang, K Tang, X Yao IEEE Transactions on Reliability 64 (1), 234-246, 2014	124	2014
A survey on cooperative co-evolutionary algorithms X Ma, X Li, Q Zhang, K Tang, Z Liang, W Xie, Z Zhu IEEE Transactions on Evolutionary Computation 23 (3), 421-441, 2018	121	2018
A large population size can be unhelpful in evolutionary algorithms T Chen, K Tang, G Chen, X Yao Theoretical Computer Science 436, 54-70, 2012	119	2012

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