Labeling Points with Rectangles of Various Shapes. - Shin-Ichi Nakano; Takao Nishizeki; Takeshi Tokuyama; Shuhei Watanabe (GD, 2000)

Labeling Points with Rectangles of Various Shapes. - Atsushi Koike; Shin-Ichi Nakano; Takao Nishizeki; Takeshi Tokuyama; Shuhei Watanabe (Int. J. Comput. Geom. Appl., 2002)

Measurement and Evaluation Method of Orange Peel. - Takuroh Sone; Shuhei Watanabe (Material Appearance, 2017)

Speeding up of the Nelder-Mead Method by Data-Driven Speculative Execution. - Shuhei Watanabe; Yoshihiko Ozaki; Yoshiaki Bando; Masaki Onishi (ACPR (1), 2019)

Evaluation of Sparkle Impression Considering Observation Distance. - Shuhei Watanabe; Takuroh Sone (Material Appearance, 2019)

Hierarchical Model of "Feeling of Luxury: " Genuine and Artificial Leather Case Study. - Shuhei Watanabe; Takahiko Horiuchi (AHFE (2), 2020)

One-shot Multi-angle Measurement Device for Evaluating the Sparkle Impression. - Shuhei Watanabe (Material Appearance, 2020)

Multiobjective tree-structured parzen estimator for computationally expensive optimization problems. - Yoshihiko Ozaki; Yuki Tanigaki; Shuhei Watanabe; Masaki Onishi (GECCO, 2020)

Evaluating Initialization of Nelder-Mead Method for Hyperparameter Optimization in Deep Learning. - Shintaro Takenaga; Shuhei Watanabe; Masahiro Nomura; Yoshihiko Ozaki; Masaki Onishi; Hitoshi Habe (ICPR, 2020)

The Difference in Impression between Genuine and Artificial Leather: Quantifying the Feeling of Authenticity. - Shuhei Watanabe; Shoji Tominaga; Takahiko Horiuchi (J. Percept. Imaging, 2020)

Warm Starting CMA-ES for Hyperparameter Optimization. - Masahiro Nomura; Shuhei Watanabe; Youhei Akimoto; Yoshihiko Ozaki; Masaki Onishi (AAAI, 2021)

MAS-Bench: Parameter Optimization Benchmark for Multi-agent Crowd Simulation. - Shusuke Shigenaka; Shunki Takami; Shuhei Watanabe; Yuki Tanigaki; Yoshihiko Ozaki; Masaki Onishi (AAMAS, 2021)

Image-based Perceptual Editing: Leather "Authenticity" as a Case Study. - Shuhei Watanabe; Takahiko Horiuchi (Material Appearance, 2021)

Layered Perceptual Modeling Using Structural Equation Modeling: Exploring Structure with Genetic Algorithm. - Shuhei Watanabe; Takahiko Horiuchi (SMC, 2022)

c-TPE: Generalizing Tree-structured Parzen Estimator with Inequality Constraints for Continuous and Categorical Hyperparameter Optimization. - Shuhei Watanabe; Frank Hutter (CoRR, 2022)

Multi-objective Tree-structured Parzen Estimator Meets Meta-learning. - Shuhei Watanabe; Noor H. Awad; Masaki Onishi; Frank Hutter (CoRR, 2022)

Multiobjective Tree-Structured Parzen Estimator. - Yoshihiko Ozaki; Yuki Tanigaki; Shuhei Watanabe; Masahiro Nomura; Masaki Onishi (J. Artif. Intell. Res., 2022)

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 (IJCAI, 2023)

PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces. - Shuhei Watanabe; Archit Bansal; Frank Hutter (IJCAI, 2023)

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization. - Shuhei Watanabe; Frank Hutter (IJCAI, 2023)

Tree-structured Parzen estimator: Understanding its algorithm components and their roles for better empirical performance. - Shuhei Watanabe (CoRR, 2023)

Python Tool for Visualizing Variability of Pareto Fronts over Multiple Runs. - Shuhei Watanabe (CoRR, 2023)

Python Wrapper for Simulating Multi-Fidelity Optimization on HPO Benchmarks without Any Wait. - Shuhei Watanabe (CoRR, 2023)

Fast Benchmarking of Asynchronous Multi-Fidelity Optimization on Zero-Cost Benchmarks. - Shuhei Watanabe; Neeratyoy Mallik; Edward Bergman; Frank Hutter (AutoML, 2024)

LLM-Based Structuring of Oral Discussion in Workshop to Support Collaboration Among Local Government and Simulated Citizens. - Gen Sato; Shun Shiramatsu; Mizuki Hoshino; Shuhei Watanabe; Yu Haibo; Takeshi Mizumoto (CollabTech, 2024)

Derivation of Closed Form of Expected Improvement for Gaussian Process Trained on Log-Transformed Objective. - Shuhei Watanabe (CoRR, 2024)

MAS-Bench: a benchmarking for parameter calibration of multi-agent crowd simulation. - Shusuke Shigenaka; Shunki Takami; Yuki Tanigaki; Shuhei Watanabe; Masaki Onishi (J. Comput. Soc. Sci., 2024)

Layered Modeling of Affective, Perception, and Visual Properties: Optimizing Structure With Genetic Algorithm. - Shuhei Watanabe; Takahiko Horiuchi (IEEE Trans. Hum. Mach. Syst., 2024)

Fostering Creativity Through Behavioral and Emotional Insights in Meetings. - Feby Juana Candra; Aika Shiro; Yingting Chen; Taro Kanno; Satori Hachisuka; Yuta Yoshino; Shuhei Watanabe (HCI (11), 2025)

Derivation of Output Correlation Inferences for Multi-Output (aka Multi-Task) Gaussian Process. - Shuhei Watanabe (CoRR, 2025)

Preference-Optimal Multi-Metric Weighting for Parallel Coordinate Plots. - Chisa Mori; Shuhei Watanabe; Masaki Onishi; Takayuki Itoh (CoRR, 2025)

Tree-Structured Parzen Estimator Can Solve Black-Box Combinatorial Optimization More Efficiently. - Kenshin Abe; Yunzhuo Wang; Shuhei Watanabe (CoRR, 2025)