Matsuzaki Kiminori

マツザキキミノリ | Matsuzaki Kiminori

Affiliation and department：
Job title： Professor
Homepage URL (1)： http://www.info.kochi-tech.ac.jp/~kmatsu/index-j.html

Research field (3)： Entertainment and game informatics , Software , Information theory

Research keywords (3)： Game Informatics , Parallel Processing , Parallel Programming

Research theme for competitive and other funds (10)：

2020 - 2023 不完全情報・確率的・多人数ゲームにおけるAlphaGo手法の評価と改良
2017 - 2023 Design and implementation of fragmentation-adaptive parallel and distributed XML query library
2014 - 2019 Developing an algebraic model and program development platform for large-scale graph processing
2013 - 2016 Realizing Fast and Scalable Brain Information Processing based on Skeletal Parallel Programming
2010 - 2012 Application of advanced language features to skeletal parallel programming for its practical use

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Papers (66)：

HIDEYA IWASAKI, KENTO EMOTO, AKIMASA MORIHATA, KIMINORI MATSUZAKI, ZHENJIANG HU. Fregel: a functional domain-specific language for vertex-centric large-scale graph processing. Journal of Functional Programming. 2022. 32
門田宏, 岩田誠, 繁桝博昭, 竹田昂典, 竹田真己, 松崎公紀, 吉田真一, 渡邊言也, 王瑞敏, 中原潔. 学際領域研究の拠点形成に向けて - 脳コミュニケーション研究センターの2020 年度の活動-. 高知工科大学紀要. 2021. 18. 1. 147-156
Wei Hao, Kiminori Matsuzaki, Shigeyuki Sato. A Dual-Index Based Representation for Processing XPath Queries on Very Large XML Documents. Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST. 2021. 363. 18-30
Akimasa Morihata, Kento Emoto, Kiminori Matsuzaki, Zhenjiang Hu, Hideya Iwasaki. Optimizing declarative parallel distributed graph processing by using constraint solvers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2018. 10818. 166-181
Izumi Asakura, Hidehiko Masuhara, Takuya Matsumoto, Kiminori Matsuzaki. Identification and elimination of the overhead of accelerate with a super-resolution application. Journal of Information Processing. 2018. 26. 48-53

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MISC (63)：

藤田竜貴, 松崎公紀. Effectivity of Densely Multi Layer Perceptron and Effectivity of Features Obtained from Positions in Machine Learning Mahjong Players. ゲームプログラミングワークショップ2019論文集. 2019. 2019. 213-220
門田宏, 青木隆太, Ruedeerat Keerativittayayut, 繁桝博昭, 竹田真己, 中原潔, 松崎公紀, 吉田真一, 岩田誠. 学際領域研究の拠点形成に向けて-脳コミュニケーション研究センターの2018 年度の活動-. 高知工科大学紀要. 2019. 16. 1. 19-28
門田宏, 青木隆太, 木村岳裕, 繁桝博昭, 中原潔, 松崎公紀, 吉田真一, 岩田誠. Toward Center for Interdisciplinary Research ーActivities at the Research Center for Brain Communication in 2017ー. 高知工科大学紀要. 2018. 15. 1. 121-130
仁井田輝, 松崎公紀. Super-resolution of MRI Images using SRCNN and its Evaluation. 電子情報通信学会技術研究報告 = IEICE technical report : 信学技報. 2018. 117. 518. 1-4
松本拓也, 佐藤重幸, 松崎公紀. Implementing Maximum Flow Algorithms with Spark GraphX. 日本ソフトウェア科学会大会論文集. 2017. 34. 23-38

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Patents (1)：

Books (3)：

Education (2)：

2001 - 2005 University of Toyo Graduate School of Information Science and Technology
1997 - 2001 University of Toyo Faculty of Engineering

Professional career (1)：

Work history (4)：

2018/07 - 現在 Kochi University of Technology School of Information Professor
2009/10 - 2018/06 Kochi University of Technology School of Information Associate Professor
2006/04 - 2009/09 University of Tokyo Graduate School of Information Schience and Technology Assistant Professor
2005/04 - 2006/03 University of Tokyo Graduate School of Information Schience and Technology Research Associate

Committee career (19)：

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Awards (6)：

2019 - Information Processing Society of Japan Specially Selected Paper Playing Game 2048 with Deep Convolutional Neural Networks Trained by Supervised Learning
2018 - 2018 Conference on Technologies and Applications of Artificial Intelligence Best Paper Award Interpreting Neural-Network Players for Game 2048
2018 - 情報処理学会山内奨励賞システム的選択にょるN-tuple networksの"対戦型2048"への適用
2015 - 情報処理学会学会活動貢献賞
2008 - 日本ソフトウェア科学会 PPL2008論文賞仕様記述言語に基づく最適経路問題の解法の導出

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