| 2026 | AAAI | From Woofs to Words: Towards Intelligent Robotic Guide Dogs with Verbal Communication. | Yohei Hayamizu, David DeFazio, Hrudayangam Mehta, Zainab Altaweel, Jacqueline Choe, Chao Lin, Jake Juettner, Furui Xiao, Jeremy Blackburn, Shiqi Zhang |
| 2025 | GECCO | Evolutionary Co-Optimization of Rule Shape and Fuzziness in Rule-Based Machine Learning. | Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama, Keiki Takadama, Hisao Ishibuchi, Masaya Nakata |
| 2024 | ICAPS | Learning Quadruped Locomotion Policies Using Logical Rules. | David DeFazio, Yohei Hayamizu, Shiqi Zhang |
| 2023 | GECCO | Fuzzy-UCS Revisited: Self-Adaptation of Rule Representations in Michigan-Style Learning Fuzzy-Classifier Systems. | Hiroki Shiraishi, Yohei Hayamizu, Tomonori Hashiyama |
| 2023 | IROS | Learning Joint Policies for Human-Robot Dialog and Co-Navigation. | Yohei Hayamizu, Zhou Yu, Shiqi Zhang |
| 2022 | GECCO | Absumption based on overgenerality and condition-clustering based specialization for XCS with continuous-valued inputs. | Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama |
| 2022 | GECCO | Can the same rule representation change its matching area?: enhancing representation in XCS for continuous space by probability distribution in multiple dimension. | Hiroki Shiraishi, Yohei Hayamizu, Hiroyuki Sato, Keiki Takadama |
| 2021 | CEC | Increasing Accuracy and Interpretability of High-Dimensional Rules for Learning Classifier System. | Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama |
| 2021 | GECCO | Misclassification detection based on conditional VAE for rule evolution in learning classifier system. | Hiroki Shiraishi, Masakazu Tadokoro, Yohei Hayamizu, Yukiko Fukumoto, Hiroyuki Sato, Keiki Takadama |