藤澤研究室│九州大学 マス・フォア・インダストリ研究所 藤澤研究室│九州大学 マス・フォア・インダストリ研究所
English / 日本語

学生発表論文

    学術論文誌論文(査読付き)

    査読付き国際会議論文

    • Issa Oe, Keiichiro Yamamura, Hiroki Ishikura, Ryo Hamahira, Katsuki Fujisawa, Superpixel Attack: Enhancing Black-Box Adversarial Attack with Image-Driven Division Areas, Australasian Joint Conference on Artificial Intelligence 2023, 28th Nov - 1st Dec, 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.
    • Akira Tanaka, Chansu Han, Takeshi Takahashi, Katsuki Fujisawa,Internet-Wide Scanner Fingerprint Identifier Based on TCP/IP Header, The 4th IEEE International Symposium on Future Cyber Security Technologies (FCST 2021), In conjunction with The 8th International Conference on Internet of Things: Systems, Management and Security (IoTSMS 2021),Gandia, Spain. December 6-9, 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 AnalysisSC20), to be held from 15-20 November 2020 in Atlanta, GA, USA.
    • Nozomi Hata, Shizuo Kaji, Akihiro Yoshida, Katsuki Fujisawa, Nested Subspace Arrangement for Representation of Relational Data, Thirty-seventh International Conference on Machine Learning (ICML2020) to be held from 12-18 Jul, 2020.
    • Satoshi Nakamura, Nariaki Tateiwa, Koha Kinjo, Yasuhiko, Ikematsu, Masaya Yasuda and Katsuki Fujisawa, Solving the search-LWE problem by lattice reduction over projected bases, the 6th International Conference on Mathematics and Computing (ICMC 2020) to be held from March 18-20, 2020 at the Sikkim University, Gangtok, Sikkim, India, 2020.
    • Ren Huiqiao and Katsuki Fujisawa. “Circulars Arc Based Obstacle Avoiding Blending Trajectory plan”, the 5th International Conference on Control and Robotics Engineering (ICCRE 2020), in Osaka, Japan, 2020
    • Akihiro Yoshida, Yosuke Yatsushiro, Nozomi Hata, Tatsuru Higurashi, Nariaki Tateiwa, Takashi Wakamatsu, Akira Tanaka, Kenichi Nagamatsu, and Katsuki Fujisawa, Practical End-to-End Repositioning Algorithm for Managing Bike-Sharing System, The proceedings of the IEEE BigData2019, 2019(Acceptance rate 19.27%), in Los Angeles, CA, USA, 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), to be held in conjunction with the 2018 IEEE International Conference on Big Data (IEEE BigData 2018), in Seattle, WA, USA, 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, in Changchun, China, 2018
    • Akira Tanaka, Nozomi Hata, Nariaki Tateiwa, Katsuki Fujisawa. Practical Approach to Evacuation Planning Via Network Flow and Deep Learning, the Fourth International Workshop on High Performance Big Graph Data Management, Analysis, and Mining (BigGraphs 2017), to be held in conjunction with the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), in Boston, MA, USA, 2017
    • Satoshi Imamura, Keitaro Oka, Yuichiro Yasui, Yuichi Inadomi, Katsuki Fujisawa, Toshio Endo, Koji Ueno, Keiichiro Fukazawa, Nozomi Hata, Yuta Kakibuka, Koji Inoue, and Takatsugu Ono, Evaluating the Impacts of Code-Level Performance Tunings on Power Efficiency, The proceedings of the IEEE BigData2016, 2016(Acceptance rate 19.39%).

    査読なし共著論文

    • 林 遼平, 澤井 薫, 立岩 斉明, 田中 智. 藤澤 克樹, 深層学習による都市環境の電波伝搬推定モデルに関する検討, 信学技報, vol. 119, no. 486, AP2019-201, pp. 23-28, 2020年3月.


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