| Evolutionary many-objective optimization based on dynamical decomposition X He, Y Zhou, Z Chen, Q Zhang IEEE Transactions on Evolutionary Computation 23 (3), 361-375, 2018 | 123 | 2018 |
| One-step kernel multi-view subspace clustering GY Zhang, YR Zhou, XY He, CD Wang, D Huang Knowledge-Based Systems 189, 105126, 2020 | 107 | 2020 |
| A decentralized federated learning framework via committee mechanism with convergence guarantee C Che, X Li, C Chen, X He, Z Zheng IEEE Transactions on Parallel and Distributed Systems 33 (12), 4783-4800, 2022 | 79 | 2022 |
| Enhancing the performance of differential evolution with covariance matrix self-adaptation X He, Y Zhou Applied Soft Computing 64, 227-243, 2018 | 66 | 2018 |
| Joint representation learning for multi-view subspace clustering GY Zhang, YR Zhou, CD Wang, D Huang, XY He Expert Systems with Applications 166, 113913, 2021 | 65 | 2021 |
| Constrained multiobjective optimization: Test problem construction and performance evaluations Y Zhou, Y Xiang, X He IEEE Transactions on Evolutionary Computation 25 (1), 172-186, 2020 | 59 | 2020 |
| Learning task relationships in evolutionary multitasking for multiobjective continuous optimization Z Chen, Y Zhou, X He, J Zhang IEEE Transactions on Cybernetics 52 (6), 5278-5289, 2020 | 55 | 2020 |
| Evolutionary bilevel optimization based on covariance matrix adaptation X He, Y Zhou, Z Chen IEEE Transactions on Evolutionary Computation 23 (2), 258-272, 2018 | 44 | 2018 |
| Running time analysis of MOEA/D with crossover on discrete optimization problem Z Huang, Y Zhou, Z Chen, X He Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2296-2303, 2019 | 31 | 2019 |
| Kernelized multi-view subspace clustering via auto-weighted graph learning GY Zhang, XW Chen, YR Zhou, CD Wang, D Huang, XY He Applied Intelligence 52 (1), 716-731, 2022 | 28 | 2022 |
| An evolution path-based reproduction operator for many-objective optimization X He, Y Zhou, Z Chen IEEE Transactions on Evolutionary Computation 23 (1), 29-43, 2017 | 27 | 2017 |
| MMES: Mixture model-based evolution strategy for large-scale optimization X He, Z Zheng, Y Zhou IEEE Transactions on Evolutionary Computation 25 (2), 320-333, 2020 | 25 | 2020 |
| Large-scale evolution strategy based on search direction adaptation X He, Y Zhou, Z Chen, J Zhang, WN Chen IEEE Transactions on Cybernetics 51 (3), 1651-1665, 2019 | 23 | 2019 |
| A neighborhood regression optimization algorithm for computationally expensive optimization problems Y Zhou, X He, Z Chen, S Jiang IEEE Transactions on Cybernetics 52 (5), 3018-3031, 2020 | 20 | 2020 |
| A Restart-based Rank-1 Evolution Strategy for Reinforcement Learning. Z Chen, Y Zhou, X He, S Jiang IJCAI, 2130-2136, 2019 | 17 | 2019 |
| Many-objective evolutionary algorithm based on adaptive weighted decomposition S Jiang, X He, Y Zhou Applied Soft Computing 84, 105731, 2019 | 16 | 2019 |
| Running time analysis of MOEA/D on pseudo-boolean functions Z Huang, Y Zhou, Z Chen, X He, X Lai, X Xia IEEE Transactions on Cybernetics 51 (10), 5130-5141, 2019 | 14 | 2019 |
| Handling expensive multi-objective optimization problems with a cluster-based neighborhood regression model Z Chen, Y Zhou, X He Applied Soft Computing 80, 211-225, 2019 | 14 | 2019 |
| Distributed evolution strategies for black-box stochastic optimization X He, Z Zheng, C Chen, Y Zhou, C Luo, Q Lin IEEE Transactions on Parallel and Distributed Systems 33 (12), 3718-3731, 2022 | 7 | 2022 |
| Adaptive evolution strategies for stochastic zeroth-order optimization X He, Z Zheng, Z Chen, Y Zhou IEEE Transactions on Emerging Topics in Computational Intelligence 6 (5 …, 2022 | 6 | 2022 |
