Education

• • Apr. 2017 Entered Kyushu University Faculty of Mathematics, Fukuoka, Japan

  • Mar. 2021 Graduated Bachelor (Science)
    Kyushu University Faculty of Mathematics, Fukuoka, Japan

  • Apr. 2021 Entered Graduate School of Mathematics, Kyushu University, Fukuoka, Japan

  • Mar. 2023 Graduated Master (Mathematics)
    Graduate School of Mathematics, Kyushu University, Fukuoka, Japan

  • Apr. 2023 Entered Graduate School of Mathematics, Kyushu University, Fukuoka, Japan

  • Sep. 2024 Graduated Doctor (Mathematics)
    Graduate School of Mathematics, Kyushu University, Fukuoka, Japan

Scientific Career

• Oct. 2024 - Jan. 2025, Researcher, Institute of Integrated Research, Institute of Science Tokyo, Japan

• Feb. 2025 - present, Specially Appointed Assistant Professor, Institute of Integrated Research, Institute of Science Tokyo, Japan

Publications

(1) Research Papers for Academic Journal

• 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) Research Papers for International Conference

• Ken Kawano, Keiichiro Yamamura, Akihiro Yoshida, Hiroki Ishikura, Shinjiro Hirai, Yoshihiko Fujisawa, Katsuki Fujisawa. Localization-Confidence-Aware Pseudo-Label Selection for YOLO-based Semi-Supervised Object Detection. Artificial Intelligence with Biased or Scarce Data (AIBSD), In Conjunction with the 40th AAAI Conference on Artificial Intelligence 2026, January 27, 2026. (To appear)

• 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) Preprint

• 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

Presentation

• 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.

• Keiichiro Yamamura, Diversified Adversarial Attacks based on Conjugate Gradient Method, The Journal of the Operations Research Society of Japan Kyushu Branch, The 1st Lecture and Workshop, hybrid, 2nd July, 2022