| 2025 | CEC | Shape of Feasible Regions of Real-World Multi-Objective Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2025 | CEC | On the Quality of Large Non-dominated Archives. | Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | EMO | Numerical Analysis of Pareto Set Modeling. | Tianye Shu, Hisao Ishibuchi, Yang Nan, Lie Meng Pang |
| 2025 | FOGA | Scalable Multi-Modal Multi-Objective Test Problems with Respect to Decision Space Dimensionality and Pareto Set Dimensionality: High-Dimensional Manhattan Distance Minimization Problems. | Hisao Ishibuchi, Tianye Shu, Lie Meng Pang |
| 2025 | GECCO | R2 Indicator Analysis using the Optimal Distributions of Solutions for R2 and Other Indicators. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2025 | IJCNN | An Inverse Model-based Solution Generation Method for Evolutionary Multi-objective Optimization Algorithms. | Tianye Shu, Hisao Ishibuchi, Lie Meng Pang |
| 2025 | IJCNN | Investigation of Training-free Metrics for Multi-objective Neural Architecture Search. | Tianye Shu, Hisao Ishibuchi, Andy Song, Yang Nan, Lie Meng Pang |
| 2025 | SMC | Mutation Probability Specification in Large-Scale Evolutionary Multi-Objective Optimization Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Longcan Chen |
| 2025 | SMC | Visual Tradeoff Analysis between Decision Space Diversity and Objective Space Diversity: Use of DTLZ Test Problems as Multi-Modal Multi-Objective Optimization Problems. | Lie Meng Pang, Tianye Shu, Hisao Ishibuchi |
| 2024 | CEC | Performance Evaluation of Evolutionary Multi-Objective Algorithms Using Real-World Problems with an Additional Total Constraint Violation Objective. | Yang Nan, Hisao Ishibuchi, Tianye Shu |
| 2024 | CEC | Interactive Final Solution Selection in Multi-Objective Optimization. | Cheng Gong, Yang Nan, Tianye Shu, Lie Meng Pang, Hisao Ishibuchi, Qingfu Zhang |
| 2024 | CEC | Last-X-Generation Archiving Strategy for Multi-Objective Evolutionary Algorithms. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2024 | GECCO | Analysis of Real-World Constrained Multi-Objective Problems and Performance Comparison of Multi-Objective Algorithms. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | GECCO | Gradient-Guided Local Search for IGD/IGDPlus Subset Selection. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2024 | IJCAI | Learning Pareto Set for Multi-Objective Continuous Robot Control. | Tianye Shu, Ke Shang, Cheng Gong, Yang Nan, Hisao Ishibuchi |
| 2024 | PPSN | LTR-HSS: A Learning-to-Rank Based Framework for Hypervolume Subset Selection. | Cheng Gong, Ping Guo, Tianye Shu, Qingfu Zhang, Hisao Ishibuchi |
| 2024 | SMC | On the use of the Total Constraint Violation as an Additional Objective in Evolutionary Multi-Objective Optimization. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Cheng Gong |
| 2023 | CEC | Effects of External Archives on the Performance of Multi-Objective Evolutionary Algorithms on Real-World Problems. | Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2023 | EMO | Two-Stage Greedy Approximated Hypervolume Subset Selection for Large-Scale Problems. | Yang Nan, Hisao Ishibuchi, Tianye Shu, Ke Shang |
| 2023 | GECCO | Two-Phase Procedure for Efficiently Removing Dominated Solutions From Large Solution Sets. | Tianye Shu, Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2023 | SMC | Two-Stage Lazy Greedy Inclusion Hypervolume Subset Selection for Large-Scale Problem. | Yang Nan, Tianye Shu, Hisao Ishibuchi |
| 2022 | PPSN | Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. | Tianye Shu, Ke Shang, Yang Nan, Hisao Ishibuchi |
| 2020 | CEC | A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros. | Tianye Shu, Ziqi Wang, Jialin Liu, Xin Yao |