| Fast Greedy Subset Selection from Large Candidate Solution Sets in Evolutionary Multi-objective Optimization W Chen, H Ishibuchi, K Shang IEEE Transactions on Evolutionary Computation, 2021 | 22 | 2021 |
| Clustering-based subset selection in evolutionary multiobjective optimization WY Chen, H Ishibuchi, K Shang arXiv preprint arXiv:2108.08453, 2021 | 20 | 2021 |
| Greedy approximated hypervolume subset selection for many-objective optimization K Shang, H Ishibuchi, W Chen Proceedings of the Genetic and Evolutionary Computation Conference, 448-456, 2021 | 15 | 2021 |
| Lazy greedy hypervolume subset selection from large candidate solution sets W Chen, H Ishibuchi, K Shang 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 14 | 2020 |
| HV-Net: hypervolume approximation based on deepsets K Shang, W Chen, W Liao, H Ishibuchi IEEE Transactions on Evolutionary Computation, 2022 | 10 | 2022 |
| Enhancing meta learning via multi-objective soft improvement functions R Yu, W Chen, X Wang, J Kwok The Eleventh International Conference on Learning Representations, 2022 | 8 | 2022 |
| Hypervolume-Optimal μ-Distributions on Line/Plane-Based Pareto Fronts in Three Dimensions K Shang, H Ishibuchi, W Chen, Y Nan, W Liao IEEE Transactions on Evolutionary Computation 26 (2), 349-363, 2021 | 8 | 2021 |
| Modified distance-based subset selection for evolutionary multi-objective optimization algorithms W Chen, H Ishibuchi, K Shang 2020 IEEE Congress on Evolutionary Computation (CEC), 1-8, 2020 | 8 | 2020 |
| Multi-Objective Deep Learning with Adaptive Reference Vectors W Chen, J Kwok Advances in Neural Information Processing Systems, 2022 | 5 | 2022 |
| Hypervolume optimal-distributions on line-based pareto fronts in three dimensions K Shang, H Ishibuchi, W Chen, L Adam International Conference on Parallel Problem Solving from Nature, 257-270, 2020 | 4 | 2020 |
| Proposal of a realistic many-objective test suite W Chen, H Ishibuchi, K Shang Parallel Problem Solving from Nature–PPSN XVI: 16th International Conference …, 2020 | 4 | 2020 |
| Effects of Discretization of Decision and Objective Spaces on the Performance of Evolutionary Multi-objective Optimization Algorithms W Chen, H Ishibuchi, K Shang 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1826-1833, 2019 | 4 | 2019 |
| Improving the Efficiency of R2HCA-EMOA K Shang, H Ishibuchi, L Chen, W Chen, LM Pang Evolutionary Multi-Criterion Optimization: 11th International Conference …, 2021 | 3 | 2021 |
| Proposal of a new test problem for large-scale multi-and many-objective optimization LM Pang, K Shang, L Chen, H Ishibuchi, W Chen 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2021 | 2 | 2021 |
| Transformation-based hypervolume indicator: A framework for designing hypervolume variants K Shang, H Ishibuchi, Y Nan, W Chen 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 157-164, 2020 | 2 | 2020 |
| Multi-Resolution Diffusion Models for Time Series Forecasting L Shen, W Chen, J Kwok The Twelfth International Conference on Learning Representations, 2023 | | 2023 |
Ke Shang (尚可)Shenzhen UniversityVerified email at szu.edu.cn
