| 2025 | HCI | Fostering Creativity Through Behavioral and Emotional Insights in Meetings. | Feby Juana Candra, Aika Shiro, Yingting Chen, Taro Kanno, Satori Hachisuka, Yuta Yoshino, Shuhei Watanabe |
| 2025 | IV | Preference-Optimal Multi-Metric Weighting for Parallel Coordinate Plots. | Chisa Mori, Shuhei Watanabe, Masaki Onishi, Takayuki Itoh |
| 2025 | SMC | Identification of Communication Patterns through Sequential Analysis of Meeting Utterance Data and Regression Analysis between Utterance Patterns and a Creativity Indicator of Meetings | Haruki Kitagawa, Taro Kanno, Yinting Chen, Satori Hachisuka, Shuhei Watanabe, Yuta Yoshino |
| 2023 | IJCAI | Speeding Up Multi-Objective Hyperparameter Optimization by Task Similarity-Based Meta-Learning for the Tree-Structured Parzen Estimator. | Shuhei Watanabe, Noor H. Awad, Masaki Onishi, Frank Hutter |
| 2023 | IJCAI | PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces. | Shuhei Watanabe, Archit Bansal, Frank Hutter |
| 2023 | IJCAI | c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization. | Shuhei Watanabe, Frank Hutter |
| 2022 | SMC | Layered Perceptual Modeling Using Structural Equation Modeling: Exploring Structure with Genetic Algorithm. | Shuhei Watanabe, Takahiko Horiuchi |
| 2021 | AAAI | Warm Starting CMA-ES for Hyperparameter Optimization. | Masahiro Nomura, Shuhei Watanabe, Youhei Akimoto, Yoshihiko Ozaki, Masaki Onishi |
| 2020 | GECCO | Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. | Yoshihiko Ozaki, Yuki Tanigaki, Shuhei Watanabe, Masaki Onishi |
| 2020 | ICPR | Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning. | Shintaro Takenaga, Shuhei Watanabe, Masahiro Nomura, Yoshihiko Ozaki, Masaki Onishi, Hitoshi Habe |
| 2000 | GD | Labeling Points with Rectangles of Various Shapes. | Shin-Ichi Nakano, Takao Nishizeki, Takeshi Tokuyama, Shuhei Watanabe |