| Short-term power load probability density forecasting method using kernel-based support vector quantile regression and Copula theory Y He, R Liu, H Li, S Wang, X Lu Applied energy 185, 254-266, 2017 | 171 | 2017 |
| Optimization based Layer-wise Magnitude-based Pruning for DNN Compression. G Li, C Qian, C Jiang, X Lu, K Tang IJCAI 330, 2383-2389, 2018 | 68 | 2018 |
| A new self-adaptation scheme for differential evolution X Lu, K Tang, B Sendhoff, X Yao Neurocomputing 146, 2-16, 2014 | 65 | 2014 |
| Improving estimation of distribution algorithm on multimodal problems by detecting promising areas P Yang, K Tang, X Lu IEEE transactions on cybernetics 45 (8), 1438-1449, 2014 | 56 | 2014 |
| Classification-and regression-assisted differential evolution for computationally expensive problems XF Lu, K Tang Journal of Computer Science and Technology 27 (5), 1024-1034, 2012 | 55 | 2012 |
| Classification-assisted differential evolution for computationally expensive problems X Lu, K Tang, X Yao 2011 IEEE congress of evolutionary computation (CEC), 1986-1993, 2011 | 50 | 2011 |
| Evolutionary optimization with hierarchical surrogates X Lu, T Sun, K Tang Swarm and Evolutionary Computation 47, 21-32, 2019 | 22 | 2019 |
| Binary relation learning and classifying for preselection in evolutionary algorithms H Hao, J Zhang, X Lu, A Zhou IEEE Transactions on Evolutionary Computation 24 (6), 1125-1139, 2020 | 20 | 2020 |
| Cooperative co-evolution-based design optimization: A concurrent engineering perspective X Lu, S Menzel, K Tang, X Yao IEEE Transactions on Evolutionary Computation 22 (2), 173-188, 2017 | 20 | 2017 |
| A review of concurrent optimisation methods X Lu, K Tang, B Sendhoff, X Yao International Journal of Bio-Inspired Computation 6 (1), 22-31, 2014 | 11 | 2014 |
| Speciated evolutionary algorithm for dynamic constrained optimisation X Lu, K Tang, X Yao Parallel Problem Solving from Nature–PPSN XIV: 14th International Conference …, 2016 | 10 | 2016 |
| Evolving neural networks with maximum AUC for imbalanced data classification X Lu, K Tang, X Yao Hybrid Artificial Intelligence Systems: 5th International Conference, HAIS …, 2010 | 9 | 2010 |
| Dynamic optimization in fast-changing environments via offline evolutionary search X Lu, K Tang, S Menzel, X Yao IEEE Transactions on Evolutionary Computation 26 (3), 431-445, 2021 | 7 | 2021 |
| CCFR3: A cooperative co-evolution with efficient resource allocation for large-scale global optimization M Yang, A Zhou, X Lu, Z Cai, C Li, J Guan Expert Systems with Applications 203, 117397, 2022 | 2 | 2022 |
| Cooperative coevolution-based design space exploration for multi-mode dataflow mapping B Yuan, X Lu, K Tang, X Yao ACM Transactions on Embedded Computing Systems (TECS) 20 (3), 1-25, 2021 | 2 | 2021 |
| The performance effects of interaction frequency in parallel cooperative coevolution X Lu, S Menzel, K Tang, X Yao Simulated Evolution and Learning: 10th International Conference, SEAL 2014 …, 2014 | 2 | 2014 |
| A competitive co-evolutionary optimization method for the dynamic vehicle routing problem X Lu, K Tang, S Menzel, X Yao 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 305-312, 2020 | 1 | 2020 |
| Competitive Coevolution as an Adversarial Approach to Dynamic Optimization X Lu, K Tang, S Menzel, X Yao arXiv preprint arXiv:1907.13529, 2019 | 1 | 2019 |
| Competitive Co-evolution for Dynamic Constrained Optimisation X Lu, K Tang, S Menzel, X Yao CoRR abs/1907.13529, 2019 | 1 | 2019 |
| An Adaptive Knowledge Transfer Strategy for Evolutionary Dynamic Multi-objective Optimization D Zhao, X Lu, K Tang International Conference on Bio-Inspired Computing: Theories and …, 2023 | | 2023 |
Ke TangProfessor, Southern University of Science and TechnologyVerified email at sustech.edu.cn
