略歴

2017年   4月  九州大学理学部数学科 入学

2021年   3月  九州大学理学部数学科 卒業

2021年   4月  九州大学大学院数理学府修士課程 入学

2023年   3月  九州大学大学院数理学府修士課程 修了

2023年   4月  九州大学大学院数理学府博士課程 入学

2024年   9月  九州大学大学院数理学府博士課程 修了【博士（数理学）】

2024年 10月  東京科学大学 総合研究院 デジタルツイン研究ユニット 研究員

2025年   2月  東京科学大学 総合研究院 デジタルツイン研究ユニット 特任助教

表彰

• 九州大学学生表彰（学術研究活動表彰）, 令和4年度春季学位記授与式, 九州大学, 2023年3月20日

発表論文

(1) 学術論文誌論文(査読付き)

• Hiroki Ishikura, Makoto Tsukamoto, Shingo Egi, Keiichiro Yamamura, Yoshihiko Fujisawa, Akihiro Yoshida, Hiroyuki Koshiro, and Katsuki Fujisawa, Optimization of transporting time through load shuffling in automated storage and retrieval system and evaluation via demonstration experiments, Japan Journal of Industrial and Applied Mathematics, Published: 27 May 2025, https://doi.org/10.1007/s13160-025-00701-w

• Keiichiro Yamamura, Issa Oe, Nozomi Hata, Hiroki Ishikura, and Katsuki Fujisawa, Appropriate Balance of Diversification and Intensification Improves Performance and Efficiency of Adversarial Attacks, Transactions on Machine Learning Research (TMLR), 2024, ISSN: 2835-8856

• Hiroki Ishikura, Nariaki Tateiwa, Shingo Egi, Issa Oe, Nozomi Hata, Toru Mitsutake, Keiichiro Yamamura, Miyu Fujii and Katsuki Fujisawa,Scheduling system for automated storage and retrieval system with multiple machines using a time-expanded network,Japan Journal of Industrial and Applied Mathematics, Published: 12 October 2023, https://doi.org/10.1007/s13160-023-00619-1

• Nariaki Tateiwa, Yuji Shinano, Masaya Yasuda, Shizuo Kaji, Keiichiro Yamamura, Katsuki Fujisawa, Development and analysis of massive parallelization of a lattice basis reduction algorithm, to appear in Japan Journal of Industrial and Applied Mathematics, Published: 03 April 2023, https://doi.org/10.1007/s13160-023-00580-z

(2) 査読付き国際会議論文

• Junya Arai, Masahiro Nakao, Yuto Inoue, Kanto Teranishi, Koji Ueno, Keiichiro Yamamura, Mitsuhisa Sato, and Katsuki Fujisawa, Doubling Graph Traversal Efficiency to 198 TeraTEPS on the Supercomputer Fugaku, The International Conference for High Performance Computing, Networking, Storage, and Analysis (SC24), 2024

• Keiichiro Yamamura, Issa Oe, Hiroki Ishikura, and Katsuki Fujisawa, Enhancing output diversity improves Conjugate Gradient-based adversarial attacks, the 4th edition of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI2024), 2024.

• Issa Oe, Keiichiro Yamamura, Hiroki Ishikura, Ryo Hamahira and Katsuki Fujisawa Superpixel Attack: Enhancing Black-box Adversarial Attack with Image-driven Division Areas AJCAI (Australasian Joint Conference on Artificial Intelligence), 2023.

• Miyu Fujii, David Taingngin, Keiichiro Yamamura, Nozomi Hata, Hiroki Kai, Ryuji Noda, Hiroki Ishikura, Tatsuru Higurashi, and Katsuki Fujisawa, Development and Evaluation of Embedding Methods for Graphs with Multi Attributes, Second Workshop on Knowledge Graphs and Big Data, In Conjunction with IEEE Big Data 2022, 17, Dec, 2022

• Keiichiro Yamamura, Haruki Sato, Nariaki Tateiwa, Nozomi Hata, Toru Mitsutake, Issa Oe, Hiroki Ishikura and Katsuki Fujisawa, Diversified Adversarial Attacks based on Conjugate Gradient Method, Thirty-ninth International Conference on Machine Learning (ICML 2022), 19-21 Jul, 2022.

• Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda and Katsuki Fujisawa, CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems, (28th IEEE INTERNATIONAL CONFERENCE ON HIGH PERFORMANCE COMPUTING, DATA, & ANALYTICS (HiPC)), Bangalore, 17th - 18th December, 2021.

(3) プレプリント

• Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, Katsuki Fujisawa, CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems, ZIB, 2020, ZIB-Report-21-16, urn:nbn:de:0297-zib-82802

• Nariaki Tateiwa, Yuji Shinano, Masaya Yasuda, Shizuo Kaji, Keiichiro Yamamura, Katsuki Fujisawa, Massively parallel sharing lattice basis reduction, ZIB, 2021, ZIB-Report-21-38, urn:nbn:de:0297-zib-85209

学会発表

• Keiichiro Yamamura, Enhancing Output Diversity Improves Conjugate Gradient-based Adversarial Attacks., The 8th NUS-ISM-ZIB-IIR-MODAL Workshop Next Generation Computing and Algorithms in the Digital Era,  NUS, Singapore, August 14th, 2024

• Keiichiro Yamamura, Diversified Adversarial Attacks based on Conjugate Gradient Method, The 7th ZIB-IMI-ISM-NUS-RIKEN-MODAL Workshop on Future Algorithms and Applications, 27th to 30th September, 2023.

• 山村 圭一郎, Diversified Adversarial Attacks based on Conjugate Gradient Method, 日本オペレーションズ・リサーチ学会 九州支部第一回講演会・研究会,ハイブリッド, 2022年7月2日