| HV-Net: hypervolume approximation based on deepsets K Shang, W Chen, W Liao, H Ishibuchi IEEE Transactions on Evolutionary Computation, 2022 | 10 | 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 |
| Parallel implementation of moea/d with parallel weight vectors for feature selection W Liao, H Ishibuchi, LM Pang, K Shang 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2020 | 8 | 2020 |
| HVC-Net: Deep learning based hypervolume contribution approximation K Shang, W Liao, H Ishibuchi International Conference on Parallel Problem Solving from Nature, 414-426, 2022 | 4 | 2022 |
| Weak Convergence Detection-based Dynamic Reference Point Specification in SMS-EMOA W Liao, K Shang, LM Pang, H Ishibuchi 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1841-1848, 2019 | 1 | 2019 |
| Data-Driven Preference Sampling for Pareto Front Learning R Ye, L Chen, W Liao, J Zhang, H Ishibuchi arXiv preprint arXiv:2404.08397, 2024 | | 2024 |
| Does Continual Learning Meet Compositionality? New Benchmarks and An Evaluation Framework W Liao, Y Wei, M Jiang, Q Zhang, H Ishibuchi Advances in Neural Information Processing Systems 36, 2024 | | 2024 |
| A Multi-objective Perspective towards Improving Meta-Generalization W Liao, Y Wei, Q Sun, Q Zhang, H Ishibuchi | | 2022 |
| Moon: A Standardized/Flexible Framework for MultiObjective OptimizatioN X Zhang, J Cheng, L Zhao, S Lai, C Gong, W Liao, L Chen, X Lin, ... | | |
