| A survey on neural network interpretability Y Zhang, P Tiňo, A Leonardis, K Tang IEEE transactions on emerging topics in computational intelligence 5 (5 …, 2021 | 1279 | 2021 |
| Large scale evolutionary optimization using cooperative coevolution Z Yang, K Tang, X Yao Information sciences 178 (15), 2985-2999, 2008 | 1210 | 2008 |
| Benchmark functions for the CEC’2010 special session and competition on large-scale global optimization K Tang, X Li, PN Suganthan, Z Yang, T Weise Nature inspired computation and applications laboratory, USTC, China 24, 1-18, 2007 | 1168 | 2007 |
| Many-objective evolutionary algorithms: A survey B Li, J Li, K Tang, X Yao ACM Computing Surveys (CSUR) 48 (1), 1-35, 2015 | 972 | 2015 |
| An analysis of diversity measures EK Tang, PN Suganthan, X Yao Machine learning 65 (1), 247-271, 2006 | 577 | 2006 |
| 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 | 544 | 2013 |
| Self-adaptive differential evolution with neighborhood search Z Yang, K Tang, X Yao 2008 IEEE congress on evolutionary computation (IEEE World Congress on …, 2008 | 504 | 2008 |
| Multilevel cooperative coevolution for large scale optimization Z Yang, K Tang, X Yao 2008 IEEE congress on evolutionary computation (IEEE World Congress on …, 2008 | 440 | 2008 |
| 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 | 362 | 2018 |
| 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 | 299 | 2010 |
| Differential evolution for high-dimensional function optimization Z Yang, K Tang, X Yao 2007 IEEE congress on evolutionary computation, 3523-3530, 2007 | 284 | 2007 |
| Evolutionary multitasking for single-objective continuous optimization: Benchmark problems, performance metric, and baseline results B Da, YS Ong, L Feng, AK Qin, A Gupta, Z Zhu, CK Ting, K Tang, X Yao arXiv preprint arXiv:1706.03470, 2017 | 278 | 2017 |
| 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 | 266 | 2016 |
| 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 | 241 | 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 | 238 | 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 | 238 | 2009 |
| Handling constrained multiobjective optimization problems via bidirectional coevolution ZZ Liu, BC Wang, K Tang IEEE Transactions on Cybernetics 52 (10), 10163-10176, 2021 | 231 | 2021 |
| Explicit evolutionary multitasking for combinatorial optimization: A case study on capacitated vehicle routing problem L Feng, Y Huang, L Zhou, J Zhong, A Gupta, K Tang, KC Tan IEEE transactions on cybernetics 51 (6), 3143-3156, 2020 | 221 | 2020 |
| Large language models as evolutionary optimizers S Liu, C Chen, X Qu, K Tang, YS Ong 2024 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2024 | 220 | 2024 |
| 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 | 209 | 2013 |
Shengcai LiuSouthern University of Science and TechnologyVerified email at sustech.edu.cn
