| Predicting network controllability robustness: A convolutional neural network approach Y Lou, Y He, L Wang, G Chen IEEE Transactions on Cybernetics 52 (5), 4052-4063, 2020 | 48 | 2020 |
| Knowledge-based prediction of network controllability robustness Y Lou, Y He, L Wang, KF Tsang, G Chen IEEE Transactions on Neural Networks and Learning Systems 33 (10), 5739-5750, 2021 | 29 | 2021 |
| A sequential algorithm portfolio approach for black box optimization Y He, SY Yuen, Y Lou, X Zhang Swarm and evolutionary computation 44, 559-570, 2019 | 17 | 2019 |
| Hybrid artificial bee colony with covariance matrix adaptation evolution strategy for economic load dispatch X Zhang, Y Lou, SY Yuen, Z Wu, Y He, X Zhang 2019 IEEE Congress on evolutionary computation (CEC), 204-209, 2019 | 8 | 2019 |
| Black box algorithm selection by convolutional neural network Y He, SY Yuen Machine Learning, Optimization, and Data Science: 6th International …, 2020 | 6 | 2020 |
| Predicting the robustness of undirected network controllability Y Lou, Y He, L Wang, KF Tsang, G Chen 2020 39th Chinese Control Conference (CCC), 4550-4553, 2020 | 4 | 2020 |
| Composing photomosaic images using clustering based evolutionary programming Y He, J Zhou, SY Yuen Multimedia Tools and Applications 78, 25919-25936, 2019 | 4 | 2019 |
| Exploratory landscape analysis using algorithm based sampling Y He, SY Yuen, Y Lou Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2018 | 4 | 2018 |
| A Bayesian restarting approach to algorithm selection Y He, SY Yuen, Y Lou Simulated Evolution and Learning: 11th International Conference, SEAL 2017 …, 2017 | | 2017 |
