- Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto. 'Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm', Evolutionary Computation (2025)
- Takuya Matsuda, Kento Uchida, Shota Saito and Shinichi Shirakawa. 'HACNet: End-to-end learning of interpretable table-to-image converter and convolutional neural network', Knowledge-Based Systems (2024)
- Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita, Shinichi Shirakawa. 'Generation of Microscopic Structure of Solder Material with Desirable Characteristics Based on Deep Learning', Knowledge-Based Systems (2022)
- Kento Uchida, Shinichi Shirakawa and Youhei Akimoto. 'Finite-Sample Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution on Convex Quadratic Functions', IEEE Transactions on Evolutionary Computation (2019)
Several international conference papers including PRICAI 2025, IECON 2025, AutoML 2025, ACL 2025, GECCO 2025, etc.
Research Experience
Special Appointment Lecturer (Assistant Professor) at the Educational Promotion Organization, Yokohama National University
Background
Research Interests: Black-Box optimization problems, particularly through real-world evaluation for acquiring agent control rules and hyperparameter optimization of machine learning models. The goal is to construct more efficient and user-friendly optimization algorithms.
Miscellany
Contact: uchida-kento-fz(at)ynu.ac.jp
Links: Google Scholar, ORCiD, GitHub, research map, Yokohama National University Researchers Overview