| Transforming cooling optimization for green data center via deep reinforcement learning Y Li, Y Wen, D Tao, K Guan IEEE transactions on cybernetics 50 (5), 2002-2013, 2019 | 204 | 2019 |
| Differential evolution with an evolution path: A DEEP evolutionary algorithm YL Li, ZH Zhan, YJ Gong, WN Chen, J Zhang, Y Li IEEE transactions on cybernetics 45 (9), 1798-1810, 2014 | 163 | 2014 |
| A primary theoretical study on decomposition-based multiobjective evolutionary algorithms YL Li, YR Zhou, ZH Zhan, J Zhang IEEE Transactions on Evolutionary Computation 20 (4), 563-576, 2015 | 46 | 2015 |
| Multichannel diffusion graph convolutional network for the prediction of endpoint composition in the converter steelmaking process L Feng, C Zhao, Y Li, M Zhou, H Qiao, C Fu IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2020 | 38 | 2020 |
| Learning-based power prediction for data centre operations via deep neural networks Y Li, H Hu, Y Wen, J Zhang Proceedings of the 5th International Workshop on Energy Efficient Data …, 2016 | 36 | 2016 |
| BNGBS: an efficient network boosting system with triple incremental learning capabilities for more nodes, samples, and classes L Feng, C Zhao, CLP Chen, YL Li, M Zhou, H Qiao, C Fu Neurocomputing 412, 486-501, 2020 | 15 | 2020 |
| Intelligent trainer for dyna-style model-based deep reinforcement learning L Dong, Y Li, X Zhou, Y Wen, K Guan IEEE Transactions on Neural Networks and Learning Systems 32 (6), 2758-2771, 2020 | 14 | 2020 |
| Intelligent trainer for model-based reinforcement learning Y Li, L Dong, X Zhou, Y Wen, K Guan arXiv preprint arXiv:1805.09496, 2018 | 4 | 2018 |
