| 2025 | IJCNN | Using Momentum Moves as Training Data for Neural Network-Based Offspring Generation in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2025 | SMC | How to Choose Solutions for Applying Momentum in Evolutionary Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2025 | SMC | Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Longcan Chen |
| 2024 | GECCO | Enhancing the Convergence Ability of Evolutionary Multi-objective Optimization Algorithms with Momentum. | Longcan Chen, Lie Meng Pang, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | GECCO | Evolutionary Preference Sampling for Pareto Set Learning. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | PPSN | An Unbounded Archive-Based Inverse Model in Evolutionary Multi-objective Optimization. | Rongguang Ye, Longcan Chen, Jinyuan Zhang, Hisao Ishibuchi |
| 2024 | SMC | Pareto Front Shape-Agnostic Pareto Set Learning in Multi-Objective Optimization. | Rongguang Ye, Longcan Chen, Wei-Bin Kou, Jinyuan Zhang, Hisao Ishibuchi |
| 2022 | PPSN | New Solution Creation Operator in MOEA/D for Faster Convergence. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi |
| 2021 | CEC | Periodical Generation Update using an Unbounded External Archive for Multi-Objective Optimization. | Longcan Chen, Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | EMO | Improving the Efficiency of R2HCA-EMOA. | Ke Shang, Hisao Ishibuchi, Longcan Chen, Weiyu Chen, Lie Meng Pang |
| 2021 | SMC | Proposal of a New Test Problem for Large-Scale Multi- and Many-Objective Optimization. | Lie Meng Pang, Ke Shang, Longcan Chen, Hisao Ishibuchi, Weiyu Chen |