About me
Akihiro Yoshida is a researcher at Institute of Science Tokyo. He received a Ph.D. in Functional Mathematics from Kyushu University in 2025. His research interests includes the intersection of mathematical optimization and machine learning.
Research interets
- Combinatorial Optimization
- Machine Learning
Publication
Journal
- Automated Tabu Tenure Tuning by Trajectory Metrics for Quadratic Unconstrained Binary Optimization ,
Masahiko Sugimura, Keiichiro Yamamura, Hiroki Ishikura, Akihiro Yoshida, Ken Kawano, Matthieu Parizy, Katsuki Fujisawa
Journal of Heuristics, 2026 [paper] - Optimization of transporting time through load shuffling in automated storage and retrieval system and evaluation via demonstration experiments,
Hiroki Ishikura, Makoto Tsukamoto, Shingo Egi, Keiichiro Yamamura, Yoshihiko Fujisawa, Akihiro Yoshida, Hiroyuki Koshiro and Katsuki Fujisawa
Japan Journal of Industrial and Applied Mathematics, 2025 [paper] - Comprehensive and practical optimal delivery planning system for replacing liquefied petroleum gas cylinders,
Akihiro Yoshida, Haruki Sato, Shiori Uchiumi, Nariaki Tateiwa, Daisuke Kataoka, Akira Tanaka, Nozomi Hata, Yousuke Yatsushiro, Ayano Ide, Hiroki Ishikura, Shingo Egi, Miyu Fuji, Hiroki Kai and Katsuki Fujisawa
Japan Journal of Industrial and Applied Mathematics, 2024 [paper] - Offline map matching using time-expanded graph for low-frequency data,
Akira Tanaka, Nariaki Tateiwa, Nozomi Hata, Akihiro Yoshida, Takashi Wakamatsu, Shota Osafune and Katsuki Fujisawa
Transportation Research Part C: Emerging Technologies, 2021 [paper] - New Performance Index “Attractiveness Factor” for Evaluating Websites via Obtaining Transition of Users’ Interests,
Akihiro Yoshida, Tatsuru Higurashi, Masaki Maruishi, Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Takashi Wakamatsu, Kenichi Nagamatsu, Akira Tajima and Katsuki Fujisawa,
Data Science and Engineering, 2019 [paper]
International conference
- QUBO-Based Subset Selection for Efficient Fine-Tuning of Vision‒Language Models,
Akihiro Yoshida, Keiichiro Yamamura, Hiroki Ishikura, Shinjiro Hirai, Ken Kawano, Yoshihiko Fujisawa, Katsuki Fujisawa
2nd International Workshop on Quantum Computing and Artificial Intelligence (QC+AI 2026) at the 40th Annual AAAI Conference on Artificial Intelligence (AAAI 2026), 2026 - Localization-Confidence-Aware Pseudo-Label Selection for YOLO-based Semi-Supervised Object Detection,
Ken Kawano, Keiichiro Yamamura, Akihiro Yoshida, Hiroki Ishikura, Shinjiro Hirai, Yoshihiko Fujisawa, Katsuki Fujisawa
Artificial Intelligence with Biased or Scarce Data (AIBSD), In Conjunction with the 40th AAAI Conference on Artificial Intelligence 2026, 2026 - CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems,
Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, and Katsuki Fujisawa
IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021 [paper] - Massive Parallelization for Finding Shortest Lattice Vectors Based on Ubiquity Generator Framework
Nariaki Tateiwa, Yuji Shinano, Satoshi Nakamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, Katsuki Fujisawa
the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC20), 2020 [paper] - Nested Subspace Arrangement for Representation of Relational Data
Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa
Thirty-seventh International Conference on Machine Learning (ICML2020), 2020 [paper] - Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System
Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenishi Nagamatsu, Katsuki Fujisawa
IEEE International Conference on Big Data 2019, 2019 [paper] - Mobility Optimization on Cyber Physical System via Multiple Object Tracking and Mathematical Programming
Nozomi Hata, Takashi Nakayama, Akira Tanaka, Takashi Wakamatsu, Akihiro Yoshida, Nariaki Tateiwa, Yuri Nishikawa, Jun Ozawa, and Katsuki Fujisawa.
the Fifth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2018), 2018 [paper] - Hybrid Vehicle Control and Optimization with a New Mathematical Method
Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Akihiro Yoshida, Takashi Wakamatsu, Takashi Nakayama, Katsuki Fujisawa
The 5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, 2018 [paper]
Preprint
- Enhancing Quantum-ready QUBO-based Suppression for Object Detection with Appearance and Confidence Features
Keiichiro Yamamura, Toru Mitsutake, Hiroki Ishikura, Daiki Kusuhara, Akihiro Yoshida, Katsuki Fujisawa
2025 [paper] - CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems
Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, Katsuki Fujisawa
ZIB-Report-21-16, 2020 [paper]
Experience
- 2025.4 - Current : Researcher at Institute of Science Tokyo
- 2024.9 - 2025.2 : Research assistant at Institute of Science Tokyo
- 2024.6 - 2024.7 : Super research assistant at Kyushu University
- 2021.7 - 2024.6 : Machine learning engineer and full-stack engineer at Neural Group Inc.
- 2020.10 - 2021.6: Research internship at Yahoo Japan Corp.
- 2020.8 - 2021.6 : Super research assistant at Kyushu University
- 2020.4 - 2020.7 : Part-time researcher at Kyushu University
Education
- 2025.3 : Ph.D. (Functional Mathematics); Graduate School of Mathematics, Kyushu University
- 2020.3 : Master (Mathematics); Graduate School of Mathematics, Kyushu University
- 2018.3 : Bachelor (Science); School of Science, Kyushu University
Awards
- Top Reviewer of NeurIPS 2025
- 九州大学学生表彰（学術研究活動表彰）, 令和元年度春季学位記授与式, 九州大学, 2020/3/23
- ベストポスター賞, “Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing Service”, 日本数学会 異分野・異業種研究交流会2019, 東京大学駒場キャンパス, 2019/10/26
- ポスターセッション優秀賞, “潜在的ユーザクラスタリングによるWebサイトの評価指標の提案”, 九大-理研-福岡市 三者連携シンポジウム「数理・AIが解く未来～計算科学の展望と期待～」, 九州大学伊都キャンパスI2CNERホール, 2018/5/15
Grants
- Tobitate! (Leap for Tomorrow) Study Abroad Initiative, MEXT (Japan)
Patent
- 清水慎太郎、山村真規、吉原千尋、劉栩青、吉野碧、山崎保範、石田淳、藤澤克樹、片岡大翼、吉田明広、佐藤開、田中智、内海志織、秦希望、立岩斉明、石倉弘貴、八代洋輔、井手綾乃, “情報処理装置、情報処理装置の制御方法、情報処理装置の制御プログラム、及び配送システム”, 特許第7437358号, 特願2021-136392, 特開2023-030962, 出願日：2021年8月24日, 登録日：2023年3月8日
- 吉田明広, 坪内孝太, 日暮立, 岩瀬張太士, 川根宏, 藤井美晴, “情報処理装置、情報処理方法、及び情報処理プログラム”, 特許第7426966号, 特願2021-101101, 特開2023-000344, 出願日：2021年6月17日, 登録日：2023年1月4日
- 吉田明広, 坪内孝太, 日暮立, 岩瀬張太士, 川根宏, 藤井美晴, “情報処理装置、情報処理方法、及び情報処理プログラム”, 特許第7453181号, 特願2021-085302, 特開2022-178473, 出願日：2021年5月20日, 登録日：2022年12月2日
- 吉田明広, 坪内孝太, 日暮立, 岩瀬張太士, 川根宏, 藤井美晴, “情報処理装置、情報処理方法、及び情報処理プログラム”, 特許第7322093号, 特願2021-085201, 特開2022-178416, 出願日：2021年5月20日, 登録日：2022年12月2日
- 吉田明広, 坪内孝太, 日暮立, 岩瀬張太士, 川根宏, 藤井美晴, “情報処理装置、情報処理方法、及び情報処理プログラム”, 特許第7388619号, 特願2021-085202, 特開2022-178417, 出願日：2021年5月20日, 登録日：2022年12月2日
- 吉田明広, 坪内孝太, 日暮立, 岩瀬張太士, 川根宏, 藤井美晴, “情報処理装置、情報処理方法、及び情報処理プログラム”, 特許第7372283号, 特願2021-085303, 特開2022-178474, 出願日：2021年5月20日, 登録日：2022年12月2日
Presentation
- Demand Forecasting of the Daily Usage of Liquefied Petroleum Gas with an Imbalance in Data Acquisition Frequency, The 5th ZIB-RIKEN-IMI-ISM MODAL Workshop on Optimization, Data Analysis and HPC in AI, 2021.
- Long-Term Optimal Delivery Planning for Replacing the Liquefied Petroleum Gas Cylinder, The 5th ZIB-RIKEN-IMI-ISM MODAL Workshop on Optimization, Data Analysis and HPC in AI, 2021.
- Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing Service, 日本数学会 異分野・異業種研究交流会2019, 2019年 (ポスターセッション)
- Demand Prediction and Repositioning Problem for Bike-Sharing System, The 4th ISM-ZIB-IMI MODAL Workshop on Mathematical Optimization and Data Analysis, 2019年
- New Performance Index “Attractiveness Factor” for Evaluating Website via Obtaining Transition of Users’ Interests, 日本数学会 異分野・異業種研究交流会2018 (ポスターセッション)
- New Performance Index “Attractiveness Factor” for Evaluating Website via Obtaining Transition of Users’ Interests as Network Flow, The 3rd IMI-ISM-ZIB MODAL Workshop on Challenges in Real World Data Analytics and High-Performance Optimization, National Graduate Institute for Policy Studies, 2018年
- 潜在的ユーザクラスタリングによるWebサイトの評価指標の提案, 九大-理研-福岡市 三者連携シンポジウム「数理・AIが解く未来～計算科学の展望と期待～」, 九州大学伊都キャンパスI2CNERホール, 2018年 (ポスターセッション)
- Webアクセスデータを用いた潜在的ユーザクラスタリングによるWebサイトの評価指標の提案, ものづくり企業に役立つ応用数理手法の研究会 第23回技術セミナー, JR博多シティ, 2018年
Academic service
- reviewer : AISTATS2025, NeurIPS2024-2025, Information Sciences