略歴

XXXX年  XX月  

発表論文

(1) 学術論文誌論文(査読付き)

• 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. Comprehensive and Practical Optimal Delivery Planning System for Replacing Liquefied Petroleum Gas Cylinders, Japan Journal of Industrial and Applied Mathematics, 2024

• Akira Tanaka, Nariaki Tateiwa, Nozomi Hata, Akihiro Yoshida, Takashi Wakamatsu, Shota Osafune, Katsuki Fujisawa, Offline map matching using time-expanded graph for low-frequency data, Transportation Research Part C: Emerging Technologies, 2021

• Akihiro Yoshida, Tatsuru Higurashi, Masaki Maruishi, Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Takashi Wakamatsu, Kenichi Nagamatsu, Akira Tajima, Katsuki Fujisawa. “New Performance Index “Attractiveness Factor” for Evaluating Websites via Obtaining Transition of Users’ Interests” Data Science and Engineering, 2019

(2) 査読付き国際会議論文

• Nariaki Tateiwa, Yuji Shinano, Keiichiro Yamamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, and Katsuki Fujisawa. CMAP-LAP: Configurable Massively Parallel Solver for Lattice Problems. IEEE 28th International Conference on High Performance Computing, Data, and Analytics (HiPC), 2021

• Nariaki Tateiwa, Yuji Shinano, Satoshi Nakamura, Akihiro Yoshida, Shizuo Kaji, Masaya Yasuda, Katsuki Fujisawa, Massive Parallelization for Finding Shortest Lattice Vectors Based on Ubiquity Generator Framework, the International Conference for High Performance Computing, Networking, Storage, and Analysis (SC20), 2020

• Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa, Nested Subspace Arrangement for Representation of Relational Data, Thirty-seventh International Conference on Machine Learning (ICML2020), 2020.

• Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenishi Nagamatsu, Katsuki Fujisawa, Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System, IEEE International Conference on Big Data 2019

• Nozomi Hata, Takashi Nakayama, Akira Tanaka, Takashi Wakamatsu, Akihiro Yoshida, Nariaki Tateiwa, Yuri Nishikawa, Jun Ozawa, and Katsuki Fujisawa. Mobility Optimization on Cyber Physical System via Multiple Object Tracking and Mathematical Programming, the Fifth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2018), 2018

• Nariaki Tateiwa, Nozomi Hata, Akira Tanaka, Akihiro Yoshida, Takashi Wakamatsu, Takashi Nakayama, Katsuki Fujisawa. Hybrid Vehicle Control and Optimization with a New Mathematical Method, The 5th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, 2018

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

学会発表

• Akihiro Yoshida, 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.

• Akihiro Yoshida, 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.

• 吉田明広, “ポスターセッション“, 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

• Akihiro Yoshida et al., Demand Prediction and Repositioning Problem for Bike-Sharing System, The 4th ISM-ZIB-IMI MODAL Workshop on Mathematical Optimization and Data Analysis, 2019

• 吉田明広, “ポスターセッション” 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

• Akihiro Yoshida et al., 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

• 吉田明広, “ポスターセッション“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

• 吉田明広, 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