Yutaro Yamada
Ph.D. Student in Information Science
Shirakawa Laboratory, Yokohama National University
Hello!
I am a 1st-year Ph.D. student at Shirakawa Laboratory, Yokohama National University. My research primarily focuses on artificial intelligence and black-box optimization.
I am particularly interested in Evolutionary Computation and Multi-objective Optimization. Additionally, my interests include various technologies related to deep learning, reinforcement learning, and large language models.
はじめまして！
横浜国立大学・白川研究室に所属している、博士課程後期1年の山田裕太郎です。 人工知能およびブラックボックス最適化を中心とした研究を行っています。
主に進化計算（Evolutionary Computation）および多目的最適化（Multi-objective Optimization）における、最適化アルゴリズムの開発や応用に関心を持っています。 また、深層学習や強化学習、大規模言語モデルなど人工知能に関連する技術に広く興味があります。
news
| Oct 01, 2026 | Our paper, “BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems”, has been accepted to NeurIPS 2026 Evaluations and Datasets Track. |
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| Sep 11, 2026 | I received the FAN2026 Best Paper Award for the paper “Evaluating Large Language Models on Black-Box Optimization Word Problems” presented at FAN2026 (The 34th Intelligent System Symposium). FAN2026（第34回インテリジェント・システム・シンポジウム）にて発表した論文「Black-Box Optimization Word Problemsにおける大規模言語モデルの評価」が、FAN2026最優秀論文賞を受賞しました。 |
| Sep 09, 2026 | Our paper, “A Framework for Ensuring Invariance of Multi-Objective Evolutionary Algorithms to Order-Preserving Transformation of Objective Functions”, has been published in Swarm and Evolutionary Computation. |
| May 20, 2026 | Our preprint, “BBOWP-Bench: Evaluating LLMs on Black-Box Optimization Word Problems”, is available on arXiv. The code and dataset are available on GitHub. |
| Mar 18, 2026 | Our paper, “Weight Adaptation for Improving Parallel Performance of Adaptive Stochastic Natural Gradient”, has been published in the EvoCOP 2026 proceedings. It was nominated for the EvoCOP Best Paper Award, and I received the Outstanding Student Mention. |
selected publications
- Swarm Evol. Comput.A Framework for Ensuring Invariance of Multi-Objective Evolutionary Algorithms to Order-Preserving Transformation of Objective FunctionsSwarm and Evolutionary Computation, 2026