| 2026 | PPSN | A Scalable Benchmark Test Suite for Dynamic Multi-objective Optimization with a Changing Number of Objectives. | Ke Shang, Zhiyun Xiao, Yuxuan Liu, Jianguo Li, Shaojiang Wang, Wei Sun |
| 2025 | CEC | On the Quality of Large Non-dominated Archives. | Ke Shang, Tianye Shu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 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 | PRICAI | Simplicity Wins: Benchmarking Evolutionary Multi-objective Optimization Algorithms for Subset Selection Problems. | Ke Shang, Guotong Wu, Yang Nan, Lie Meng Pang, Hisao Ishibuchi |
| 2025 | VR | AvatarMirror: Rendering Restoration for Real-Time Immersive Presence System. | Jia Li, Yan Liu, Nan Gao, Ke Shang |
| 2024 | CEC | Analysis of Algorithm Comparison Results on Real-World Multi-Objective Problems. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 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 | GECCO | New Framework of Multi-Objective Evolutionary Algorithms with Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, 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 | Hypervolume Gradient Subspace Approximation. | Kenneth Zhang, Angel E. Rodriguez-Fernandez, Ke Shang, Hisao Ishibuchi, Oliver Schtze |
| 2024 | SMC | GHVC-Net: Hypervolume Contribution Approximation Based on Graph Neural Network. | Guotong Wu, Yang Nan, Ke Shang, 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 | Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous UAV Navigation in Large-Scale Complex Environments. | Guangyan An, Ziyu Wu, Zhilong Shen, Ke Shang, Hisao Ishibuchi |
| 2023 | GECCO | Effects of Dominance Modification on Hypervolume-based and IGD-based Performance Evaluation Results of NSGA-II. | Hisao Ishibuchi, Lie Meng Pang, 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 | GECCO | STHV-Net: Hypervolume Approximation based on Set Transformer. | Han Zhu, Ke Shang, Hisao Ishibuchi |
| 2022 | GECCO | Difficulties in fair performance comparison of multiobjective evolutionary algorithms. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2022 | PPSN | HVC-Net: Deep Learning Based Hypervolume Contribution Approximation. | Ke Shang, Weiduo Liao, Hisao Ishibuchi |
| 2022 | PPSN | Direction Vector Selection for R2-Based Hypervolume Contribution Approximation. | Tianye Shu, Ke Shang, Yang Nan, 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 | CEC | A Two-stage Hypervolume Contribution Approximation Method Based on R2 Indicator. | Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 2021 | CEC | Using a Genetic Algorithm-based Hyper-heuristic to Tune MOEA/D for a Set of Various Test Problems. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2021 | EMO | Using a Genetic Algorithm-Based Hyper-Heuristic to Tune MOEA/D for a Set of Benchmark Test Problems. | 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 | GECCO | Greedy approximated hypervolume subset selection for many-objective optimization. | Ke Shang, Hisao Ishibuchi, Weiyu Chen |
| 2021 | GECCO | Distance-based subset selection revisited. | Ke Shang, Hisao Ishibuchi, Yang Nan |
| 2021 | GECCO | Environmental selection using a fuzzy classifier for multiobjective evolutionary algorithms. | Jinyuan Zhang, Hisao Ishibuchi, Ke Shang, Linjun He, Lie Meng Pang, Yiming Peng |
| 2021 | SMC | Clustering-Based Subset Selection in Evolutionary Multiobjective Optimization. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2021 | SMC | Improving Local Search Hypervolume Subset Selection in Evolutionary Multi-objective Optimization. | Yang Nan, Ke Shang, Hisao Ishibuchi, Linjun He |
| 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 |
| 2021 | SMC | Reference Point Specification for Greedy Hypervolume Subset Selection. | Ke Shang, Hisao Ishibuchi, Lie Meng Pang, Yang Nan |
| 2020 | CEC | Modified Distance-based Subset Selection for Evolutionary Multi-objective Optimization Algorithms. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | CEC | Lazy Greedy Hypervolume Subset Selection from Large Candidate Solution Sets. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | ECAI | A New Framework of Evolutionary Multi-Objective Algorithms with an Unbounded External Archive. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | GECCO | What is a good direction vector set for the R2-based hypervolume contribution approximation. | Yang Nan, Ke Shang, Hisao Ishibuchi |
| 2020 | PPSN | Proposal of a Realistic Many-Objective Test Suite. | Weiyu Chen, Hisao Ishibuchi, Ke Shang |
| 2020 | PPSN | Hypervolume Optimal μ-Distributions on Line-Based Pareto Fronts in Three Dimensions. | Ke Shang, Hisao Ishibuchi, Weiyu Chen, Luks Adam |
| 2020 | SMC | Population Size Specification for Fair Comparison of Multi-objective Evolutionary Algorithms. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Numerical Analysis on Optimal Distributions of Solutions for Hypervolume Maximization. | Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Parallel Implementation of MOEA/D with Parallel Weight Vectors for Feature Selection. | Weiduo Liao, Hisao Ishibuchi, Lie Meng Pang, Ke Shang |
| 2020 | SMC | Algorithm Configurations of MOEA/D with an Unbounded External Archive. | Lie Meng Pang, Hisao Ishibuchi, Ke Shang |
| 2019 | CEC | Regular Pareto Front Shape is not Realistic. | Hisao Ishibuchi, Linjun He, Ke Shang |
| 2019 | CEC | A Scalable Multimodal Multiobjective Test Problem. | Hisao Ishibuchi, Yiming Peng, Ke Shang |
| 2019 | CEC | A Hybrid Surrogate-Assisted Evolutionary Algorithm for Computationally Expensive Many-Objective Optimization. | Kanzhen Wan, Cheng He, Auraham Camacho, Ke Shang, Ran Cheng, Hisao Ishibuchi |
| 2018 | GECCO | Weight vector grid with new archive update mechanism for multi-objective optimization. | Xizi Ni, Hisao Ishibuchi, Kanzhen Wan, Ke Shang, Chukun Zhuang |
| 2018 | GECCO | A new R2 indicator for better hypervolume approximation. | Ke Shang, Hisao Ishibuchi, Min-Ling Zhang, Yiping Liu |
| 2018 | PPSN | A Double-Niched Evolutionary Algorithm and Its Behavior on Polygon-Based Problems. | Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang |
| 2018 | PPSN | Improving 1by1EA to Handle Various Shapes of Pareto Fronts. | Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Ke Shang |
| 2012 | ICMLC | Iterative data adaptive anisotropic image filtering. | Changcai Yang, Xin-Yi Zheng, Jinwen Tian, Ke Shang, Xin Tian, Wei Hao |