| 2025 | GECCO | LIMES: Learning from Imbalanced Data via Multiform Multi-Objective Feature Selection. | Ruwang Jiao, Tao Peng, Naoki Masuyama, Yusuke Nojima |
| 2025 | IJCNN | A Clustering-based Sample Selection Method for Improving Replay Buffer Quality in Continual Self-Supervised Learning. | Naoki Masuyama, Ryosuke Fujii, Takato Kinoshita, Yusuke Nojima |
| 2024 | CEC | A Federated Data-driven Multiobjective Evolutionary Algorithm via Continual Learnable Clustering. | Takato Kinoshita, Naoki Masuyama, Yusuke Nojima |
| 2024 | ICMLC | Clustering-Based Automatic Codeword Lengths Determination in Self-Supervised Learning. | Takanori Takebayashi, Naoki Masuyama, Yusuke Nojima |
| 2024 | IJCNN | A Growing Hierarchical Clustering Algorithm via Parameter-free Adaptive Resonance Theory. | Kazuki Tashiro, Naoki Masuyama, Yusuke Nojima |
| 2023 | GECCO | A Decomposition-based Multi-modal Multi-objective Evolutionary Algorithm with Problem Transformation into Two-objective Subproblems. | Yusuke Nojima, Yuto Fujii, Naoki Masuyama, Yiping Liu, Hisao Ishibuchi |
| 2023 | ICMLC | Adaptive Resonance Theory-Based Topological Clustering with Node Deletion Mechanism for Evolving Stream Data. | Takanori Takebayashi, Naoki Masuyama, Yusukeusuke Nijima |
| 2022 | IJCNN | Adaptive Resonance Theory-based Clustering for Handling Mixed Data. | Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Zongying Liu |
| 2021 | SMC | Multi-Modal Multi-Objective Traveling Salesman Problem and its Evolutionary Optimizer. | Yiping Liu, Liting Xu, Yuyan Han, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi, Gary G. Yen |
| 2020 | CEC | Effects of Local Mating in Inter-task Crossover on the Performance of Decomposition-based Evolutionary Multiobjective Multitask optimization Algorithms. | Ryuichi Hashimoto, Toshiki Urita, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2020 | CEC | On the Normalization in Evolutionary Multi-Modal Multi-Objective Optimization. | Yiping Liu, Hisao Ishibuchi, Gary G. Yen, Yusuke Nojima, Naoki Masuyama, Yuyan Han |
| 2020 | ECAI | Many-Objective Problems Are Not Always Difficult for Pareto Dominance-Based Evolutionary Algorithms. | Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima |
| 2020 | GECCO | Effects of dominance resistant solutions on the performance of evolutionary multi-objective and many-objective algorithms. | Hisao Ishibuchi, Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima |
| 2020 | IJCNN | Multilayer Clustering Based on Adaptive Resonance Theory for Noisy Environments. | Narito Amako, Naoki Masuyama, Chu Kiong Loo, Yusuke Nojima, Yiping Liu, Hisao Ishibuchi |
| 2019 | CEC | Two-Layered Weight Vector Specification in Decomposition-Based Multi-Objective Algorithms for Many-Objective Optimization Problems. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2019 | CEC | Searching for Local Pareto Optimal Solutions: A Case Study on Polygon-Based Problems. | Yiping Liu, Hisao Ishibuchi, Yusuke Nojima, Naoki Masuyama, Yuyan Han |
| 2019 | CEC | A Multiobjective Test Suite with Hexagon Pareto Fronts and Various Feasible Regions. | Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2019 | EMO | Comparison of Hypervolume, IGD and IGD+ from the Viewpoint of Optimal Distributions of Solutions. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2019 | GECCO | Constrained multiobjective distance minimization problems. | Yusuke Nojima, Takafumi Fukase, Yiping Liu, Naoki Masuyama, Hisao Ishibuchi |
| 2018 | CEC | Dynamic Specification of a Reference Point for Hypervolume Calculation in SMS-EMOA. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 2018 | GECCO | Analysis of evolutionary multi-tasking as an island model. | Ryuichi Hashimoto, Hisao Ishibuchi, Naoki Masuyama, Yusuke Nojima |
| 2018 | GECCO | Dual-grid model of MOEA/D for evolutionary constrained multiobjective optimization. | Hisao Ishibuchi, Takefumi Fukase, Naoki Masuyama, Yusuke Nojima |
| 2018 | PPSN | Use of Two Reference Points in Hypervolume-Based Evolutionary Multiobjective Optimization Algorithms. | Hisao Ishibuchi, Ryo Imada, Naoki Masuyama, Yusuke Nojima |
| 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 |
| 2018 | SMC | Multiobjective Evolutionary Data Mining for Performance Improvement of Evolutionary Multiobjective Optimization. | Naoki Masuyama, Yuki Tanigaki, Yusuke Nojima, Hisao Ishibuchi |
| 2018 | SMC | Performance Comparison of Multiobjective Evolutionary Algorithms on Problems with Partially Different Properties from Popular Test Suites. | Takashi Matsumoto, Naoki Masuyama, Yusuke Nojima, Hisao Ishibuchi |
| 2016 | ICONIP | An Iterative Incremental Learning Algorithm for Complex-Valued Hopfield Associative Memory. | Naoki Masuyama, Chu Kiong Loo |
| 2015 | IJCNN | Quantum-Inspired Complex-Valued Multidirectional Associative Memory. | Naoki Masuyama, Chu Kiong Loo |
| 2015 | RO-MAN | Robotic emotional model with personality factors based on Pleasant-Arousal scaling model. | Naoki Masuyama, Chu Kiong Loo |
| 2012 | PRICAI | Computational Intelligence for Human Interactive Communication of Robot Partners. | Naoki Masuyama, Chee Seng Chan, Naoyuki Kubota, Jinseok Woo |