Affiliation： Organization for the Promotion of Education, Yokohama National University (working as Specially Appointed Assistant Professor)
Email： uchida-kento-fz(at)ynu.ac.jp
Link：Google Scholar, ORCiD, GitHub, researchmap, Researcher Info@YNU
I received a doctoral degree (doctor of informatics) from the Yokohama National University, Yokohama, Japan, in 2023 under the supervision of Dr. Shirakawa. My current research interest includes the theoretical analysis of evolutionary algorithms, especially the analysis of probabilistic model-based evolutionary algorithms. I am also interested in the algorithm improvement of evolutionary algorithms inspired by theoretical analyses.
Ryoki Hamano, Kento Uchida, Shinichi Shirakawa, Daiki Morinaga, Youhei Akimoto, "Tail Bounds on the Runtime of Categorical Compact Genetic Algorithm," Evolutionary Computation (2025) [link] [arXiv]
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) [link]
Kento Uchida, Genki Sakata, Tetsushi Watari, Yuta Yamakita and Shinichi Shirakawa, "Generation of Microscopic Structure of Solder Material with Desirable Characteristics Based on Deep Learning", Knowledge-Based Systems (2022) [link]
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) [link]
Keisuke Sugawara, Kento Uchida, and Shinichi Shirakawa, "Neural Architecture Search of Sample Reweighting Networks for Complex Distribution Shift", Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025), 2025 (accepted)
Daiki Yotsufuji, Kenta Nishihara, Shoma Shimizu, Kento Uchida, and Shinichi Shirakawa "OnDeFog: Online Decision Transformer under Frame Dropping", Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025), 2025 (accepted as short paper)
Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, and Shinichi Shirakawa, "Uncertainty-Aware Self-Localization for Bulldozers Using Machine Learning with Internal Sensor Data", Conference of the IEEE Industrial Electronics Society (IECON 2025), 2025. (accepted)
Rio Akizuki, Yuya Kudo, Nozomu Yoshinari, Yoichi Hirose, Toshiyuki Nishimoto, Kento Uchida, Shinichi Shirakawa, "Surrogate Benchmarks for Model Merging Optimization", AutoML 2025 Non-Archival Content Track, 2025 [link] [arXiv]
Rin Ashizawa, Yoichi Hirose, Nozomu Yoshinari, Kento Uchida, Shinichi Shirakawa, "Bandit-Based Prompt Design Strategy Selection Improves Prompt Optimizers", Findings of the Association for Computational Linguistics: ACL 2025, 2025 [link] [arXiv] [code]Â
Takumi Matsuo, Kento Uchida, Shinichi Shirakawa, "Elitist Evolutionary Algorithm for Optimization on Sets of Points", Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), 2025 [link]
Yuta Sekino, Yohei Watanabe, Kento Uchida, Shinichi Shirakawa, "Surrogate-Assisted CMA-ES for Problems with Low Effective Dimensionality", Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), 2025 [link]
Ryoki Hamano, Masahiro Nomura, Shota Saito, Kento Uchida, Shinichi Shirakawa, "CatCMA with Margin: Stochastic Optimization for Continuous, Integer, and Categorical Variables", Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2025), 2025 (Best Paper Nomination) [link] [arXiv]
Haruhito Nakagawa, Kento Uchida, Shinichi Shirakawa, "Learning Rate Adaptation CMA-ES for Multimodal and Noisy Problems with Low Effective Dimensionality", Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2025 Companion), 2025 [link]
Kento Uchida, Yohei Watanabe, Ryoki Hamano, Shinichi Shirakawa, "Search Space Selection Using Constrained Mixed-Integer Optimization Method", Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2025 Companion), 2025 [link]
Chen Yen-Hsiu, Yoichi Hirose, Shoma Shimizu, Shota Saito, Kento Uchida, Shinichi Shirakawa, Takayuki Nishio, "Enhancing Latency-Accuracy Tradeoff in Dynamic Split Inference via Vector Quantized Bottleneck", 2024 IEEE Globecom Workshops, Ubiquitous Network Intelligence for Next Generation Wireless Networks, 2024Â
Shoma Shimizu, Kento Uchida, Atsuo Maki, Shinichi Shirakawa, "Adaptive Trust Region Radius for Robust Policy Optimization", 31st International Conference on Neural Information Processing (ICONIP 2024), 2024 [link]
Yoichi Hirose, Kento Uchida, Shinichi Shirakawa, "Fine-Tuning LLMs for Automated Feature Engineering", AutoML Conference 2024 (workshop), 2024 [link]
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa, "CMA-ES for Discrete and Mixed-Variable Optimization on Sets of Points", Parallel Problem Solving From Nature (PPSN 2024), 2024 [link] [arXiv] [code]
Yuta Sekino, Kento Uchida, Shinichi Shirakawa, "Warm Starting of CMA-ES for Contextual Optimization Problems", Parallel Problem Solving From Nature (PPSN 2024), 2024 [link] [arXiv]
Kento Uchida, Ryoki Hamano, Masahiro Nomura, Shota Saito, Shinichi Shirakawa, "CMA-ES for Safe Optimization," Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024), 2024 [link] [arXiv] [code]
Kento Uchida, Kenta Nishihara, Shinichi Shirakawa, "CMA-ES with Adaptive Reevaluation for Multiplicative Noise," Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024), 2024 [link] [arXiv] [code]
Ryoki Hamano, Shota Saito, Masahiro Nomura, Kento Uchida, Shinichi Shirakawa, "CatCMA : Stochastic Optimization for Mixed-Category Problems," Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2024), 2024 [link] [arXiv] [code]
Yutaro Yamada, Kento Uchida, Shinichi Shirakawa, "How to Make Multi-Objective Evolutionary Algorithms Invariant to Monotonically Increasing Transformation of Objective Functions," Proceedings of the Companion Conference on Genetic and Evolutionary Computation (GECCO 2024 Companion), 2024 [link]
Yohei Watanabe, Kento Uchida, Ryoki Hamano, Shota Saito, Masahiro Nomura and Shinichi Shirakawa, "(1+1)-CMA-ES with Margin for Discrete and Mixed-Integer Problems," Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2023), 2023 [link] [arXiv] [code]
Yutaro Yamada, Kento Uchida, Shota Saito and Shinichi Shirakawa, "Surrogate-Assisted (1+1)-CMA-ES with Switching Mechanism of Utility Functions," 26th European Conference, EvoApplications 2023, 2023 [link]
Teppei Yamaguchi, Kento Uchida and Shinichi Shirakawa, "Improvement of sep-CMA-ES for Optimization of High-Dimensional Functions with Low Effective Dimensionality," 2022 IEEE Symposium Series on Computational Intelligence (SSCI), 2022 [link] [code]
Teppei Yamaguchi, Kento Uchida and Shinichi Shirakawa, "Adaptive Stochastic Natural Gradient Method for Optimizing Functions with Low Effective Dimensionality," The 16th International Conference on Parallel Problem Solving from Nature (PPSN), 2020 [link]
Kento Uchida, Shota Saito, Panca Dewi Pamungkasari, Yusei Kawai, Ita Fauzia Hanoum, Filbert H. Juwono and Shinichi Shirakawa, "Joint Optimization of Convolutional Neural Network and Image Preprocessing Selection for Embryo Grade Prediction in In Vitro Fertilization," The 14th International Symposium on Visual Computing (ISVC), 2019 [link]
Youhei Akimoto, Shinichi Shirakawa, Nozomu Yoshinari, Kento Uchida, Shota Saito and Kouhei Nishida, "Adaptive Stochastic Natural Gradient Method for One-Shot Neural Architecture Search," 36th International Conference on Machine Learning (ICML), 2019 [link] [arXiv]
Kento Uchida, Shinichi Shirakawa and Youhei Akimoto, "Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution Under Finite Samples," Proceedings of the Genetic and Evolutionary Computation Conference 2018 (GECCO 2018), 2018 [link]
Hibiki Murase, Kei Hiroshima, Kento Uchida, Mizuki Ohashi, Naoki Kashihara, Anthony Viera, Hiroyuki Daida, Shinichi Shirakawa, Yuichiro Yano, "Enhancing Atherosclerosis Risk Prediction with Strategic Feature and Case Selections in Large Language Model", ESC congress 2025, 2025 [link]
Kento Uchida, Youhei Akimoto, Shinichi Shirakawa, "Analysis of Information Geometric Optimization with Isotropic Gaussian Distribution: Toward Finite-Sample Analysis on Convex Quadratic Functions," 2018 JPNSEC International Workshop on Evolutionary Computation, pp. 102-106, Shenzhen, China. 2018 (Best Poster Award)
Hikaru Sawafuji, Ryota Ozaki, Takuto Motomura, Toyohisa Matsuda, Masanori Tojima, Kento Uchida, Shinichi Shirakawa, "Machine Learning-Based Self-Localization Using Internal Sensors for Automating Bulldozers," arXiv, 2025. [link]
Kento Uchida, Teppei Yamaguchi, Shinichi Shirakawa, "Covariance Matrix Adaptation Evolution Strategy for Low Effective Dimensionality," arXiv, 2025. [link]
Panca Dewi Pamungkasari, Kento Uchida, Shota Saito, Filbert H. Juwono, Ita Fauzia Hanoum, Shinichi Shirakawa, "Embryo Grade Prediction for In-Vitro Fertilization," In Kose, U., Deperlioglu, O., & Hemanth, D.J. (Eds.). Deep Learning for Biomedical Applications (1st ed.). CRC Press. pp. 21-40 (2021) [link]
LLM Merging Competition at NeurIPS 2024 [link]
Rio Akizuki, Nozomu Yoshinari, Yuya Kudo, Yoichi Hirose, Toshiyuki Nishimoto, Kento Uchida, Shinichi Shirakawa "Interpolated Layer-Wise Merging for NeurIPS 2024 LLM Merging Competition", 2024 [link]
Toshiyuki Nishimoto, Yoichi Hirose, Yuya Kudo, Nozomu Yoshinari, Rio Akizuki, Kento Uchida, Shinichi Shirakawa, "Differentiable DARE-TIES for NeurIPS 2024 LLM Merging Competition", 2024 [link]
Genetic and Evolutionary Computation Conference (GECCO), Reviewer (2024, 2025)
Parallel Problem Solving from Nature (PPSN), Subreviewer (2024)
Neural Information Processing Systems (NeurIPS), Reviewer (2025, 2026)
International Conference on Artificial Intelligence and Statistics (AISTATS), Reviewer (2025)
etc
ACM Transactions on Evolutionary Learning and Optimization
IEEE Transactions on Evolutionary Computation
Evolutionary Computation
Swarm and Evolutionary Computation
Applied Soft Computing
etc
IEEE CIS Japan Chapter Young Researcher Award [link]
Best Poster Award in 2018 JPNSEC International Workshop on Evolutionary Computation [link]