SHIRAKAWA Shinichi

Affiliation

Faculty of Environment and Information Sciences, Division of Social Environment and Information

Job Title

Associate Professor

Research Fields, Keywords

Intelligent Information Processing, Artificial Intelligence, Machine Learning, Evolutionary Computation, Image Processing and Recognition

Mail Address

E-mail address

Web Site

http://shiralab.ynu.ac.jp/en/shirakawa/

YNU Research Center

Research Center for Artificial Intelligence

Related SDGs




ORCID  https://orcid.org/0000-0002-4659-6108

YNU Research Center 【 display / non-display

Profile 【 display / non-display

  • Shinichi Shirakawa received his B.E., M.E. degrees, and Ph.D. degree in engineering from Yokohama National University in 2005, 2007, and 2009, respectively. He was a research fellow of the Japan Society for the Promotion of Science (JSPS) from 2008 to 2010. He worked at FUJITSU LABORATORIES LTD. from 2010 to 2012 as a researcher. He was a research associate and an assistant professor at Aoyama Gakuin University from 2012 to 2013 and from 2013 to 2015, respectively. He was an assistant professor at the University of Tsukuba from 2015 to 2016. He was a lecturer at Yokohama National University from 2016 to 2021. He is currently an associate professor at Yokohama National University. His research interests include evolutionary computation, machine learning, computer vision, and so on.

Education 【 display / non-display

  • 2007.4
    -
    2009.3

    Yokohama National University   Department of Information Media and Environment Sciences   Doctor Course   Completed

  • 2005.4
    -
    2007.3

    Yokohama National University   Department of Information Media and Environment Sciences   Master Course   Completed

  • 2001.4
    -
    2005.3

    Yokohama National University   Division of Electrical and Computer Engineering   Graduated

Degree 【 display / non-display

  • Doctor of Engineering - Yokohama National University

  • Master of Engineering - Yokohama National University

Campus Career 【 display / non-display

  • 2021.4
     
     

    Duty   Yokohama National UniversityFaculty of Environment and Information Sciences   Division of Social Environment and Information   Associate Professor  

  • 2016.4
    -
    2021.3

    Duty   Yokohama National UniversityFaculty of Environment and Information Sciences   Division of Social Environment and Information   Lecturer  

  • 2021.4
     
     

    Concurrently   Yokohama National UniversityGraduate School of Environment and Information Sciences   Department of Information Environment   Associate Professor  

  • 2021.4
     
     

    Concurrently   Yokohama National UniversityCollege of Engineering Science   Department of Mathematics, Physics, Electrical Engineering and Computer Science   Associate Professor  

  • 2021.4
     
     

    Concurrently   Yokohama National UniversityInterfaculty Graduate School of Innovative and Practical Studies   Associate Professor  

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External Career 【 display / non-display

  • 2020.10
    -
    2022.3

    RIKEN   RIKEN AIP-FUJITSU Collaboration Center, RIKEN Center for Advanced Intelligence Project   Visiting Researcher  

  • 2015.4
    -
    2016.3

    University of Tsukuba   Faculty of Engineering, Information and Systems   Assistant Professor  

  • 2013.4
    -
    2015.3

    Aoyama Gakuin University   College of Science and Engineering   Assistant Professor  

  • 2012.4
    -
    2013.3

    Aoyama Gakuin University   College of Science and Engineering   Research Assistant  

  • 2010.4
    -
    2012.3

    Fujitsu Laboratories Ltd.   Researcher  

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Academic Society Affiliations 【 display / non-display

  • 2018.4
     
     
     

    The Iron and Steel Institute of Japan

  • 2018.1
     
     
     

    AAAI

  • 2016.9
     
     
     

    ACM

  • 2016.1
     
     
     

    The Institute of Image Electronics Engineers of Japan

  • 2014.9
     
     
     

    The Institute of Electrical Engineers of Japan

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Research Areas 【 display / non-display

  • Informatics / Intelligent informatics

  • Informatics / Soft computing

  • Informatics / Perceptual information processing

 

Books 【 display / non-display

  • Deep Learning for Biomedical Applications (U. Kose, O. Deperlioglu, D. J. Hemanth (eds))

    Panca Dewi Pamungkasari, Kento Uchida, Shota Saito, Filbert H. Juwono, Ita Fauzia Hanoum, Shinichi Shirakawa( Role: Contributor ,  Embryo Grade Prediction for In-Vitro Fertilization)

    CRC Press 

    DOI Amazon

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    Responsible for pages:21-40   Language:English Book type:Scholarly book

  • Deep Neural Evolution --Deep Learning with Evolutionary Computation (H. Iba and N. Noman (eds))

    Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao( Role: Contributor ,  Designing Convolutional Neural Network Architectures Using Cartesian Genetic Programming)

    Springer, Singapore  ( ISBN:978-981-15-3684-7

    DOI Amazon

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    Responsible for pages:185-208   Language:English Book type:Scholarly book

  • これからの強化学習

    牧野貴樹, 澁谷長史, 白川真一( Role: Joint editor)

    森北出版  ( ISBN:4627880316

    Amazon

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    Language:Japanese Book type:Scholarly book

  • 進化技術ハンドブック 第II巻 応用編(23.5節 進化的手法によるエージェントの行動プログラムの自動生成)

    白川真一, 原章, 長尾智晴( Role: Contributor ,  進化的手法によるエージェントの行動プログラムの自動生成)

    近代科学社  ( ISBN:9784764904187

    Amazon

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    Language:Japanese Book type:Scholarly book

  • Ant Colony Optimization - Methods and Applications

    Shinichi Shirakawa, Shintaro Ogino, Tomoharu Nagao( Role: Contributor ,  Automatic Construction of Programs Using Dynamic Ant Programming)

    IN-TECH  ( ISBN:9789533071572

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    Language:English Book type:Scholarly book

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Thesis for a degree 【 display / non-display

  • A Study on Evolutionary Automatic Generation of Programs Using Graph Structured Representation

    Shinichi Shirakawa

    2009.3

    Doctoral Thesis   Single Work  

Papers 【 display / non-display

  • Evaluation of text-to-gesture generation model using convolutional neural network

    Eiichi Asakawa, Naoshi Kaneko, Dai Hasegawa, Shinichi Shirakawa

    Neural Networks   151   365 - 375   2022.7  [Reviewed]

    DOI

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Elsevier   Joint Work  

  • A Two-phase Framework with a Bezier Simplex-based Interpolation Method for Computationally Expensive Multi-objective Optimization

    Ryoji Tanabe, Youhei Akimoto, Ken Kobayashi, Hiroshi Umeki, Shinichi Shirakawa, Naoki Hamada

    Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2022)   2022.7  [Reviewed]

    arXiv

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM   Joint Work  

    Other Link: https://arxiv.org/abs/2203.15292

  • CMA-ES with Margin: Lower-Bounding Marginal Probability for Mixed-Integer Black-Box Optimization

    Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

    Proceedings of the Genetic and Evolutionary Computation Conference (GECCO 2022)   2022.7  [Reviewed]

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM   Joint Work  

  • Reduction of Genetic Drift in Population-Based Incremental Learning via Entropy Regularization

    Ryoki Hamano, Shinichi Shirakawa

    Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO 2022 Poster Paper)   2022.7  [Reviewed]

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM   Joint Work  

  • Benchmarking CMA-ES with Margin on the bbob-mixint Testbed

    Ryoki Hamano, Shota Saito, Masahiro Nomura, Shinichi Shirakawa

    Proceedings of the Genetic and Evolutionary Computation Conference Companion (GECCO Workshop on Black-Box Optimization Benchmarking (BBOB 2022))   2022.7  [Reviewed]

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:ACM   Joint Work  

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Review Papers 【 display / non-display

  • 確率的自然勾配法に基づくOne-Shot Neural Architecture Search

    白川 真一

    オペレーションズ・リサーチ   66 ( 6 )   381 - 386   2021.6

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)   Publisher:日本オペレーションズ・リサーチ学会   Single Work  

  • 高速、高性能、高ロバストなニューラルネットワーク構造の自動設計手法「ASNG-NAS」

    内田絢斗, 秋本洋平, 白川真一, 吉成望, 斉藤翔汰, 西田昂平

    画像ラボ   2020.4

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    Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (trade magazine, newspaper, online media)   Publisher:日本工業出版   Joint Work  

Awards 【 display / non-display

  • 令和3年度 横浜国立大学優秀研究者賞 奨励賞

    2022.3   横浜国立大学  

    Individual or group name of awards:白川 真一

  • Genetic and Evolutionary Computation Conference (GECCO) 2017 Best Paper Award

    2017.7   ACM SIGEVO   A Genetic Programming Approach to Designing Convolutional Neural Network Architectures

    Individual or group name of awards:Masanori Suganuma, Shinichi Shirakawa, Tomoharu Nagao

  • 電気学会 平成27年電子・情報・システム部門大会 奨励賞

    2016.9   電気学会 電子・情報・システム部門   切断正規分布に基づく行列分解を用いた推薦システム

    Individual or group name of awards:白川 真一

  • 計測自動制御学会システム・情報部門学術講演会 (SSI 2014) 最優秀論文賞

    2014.11   計測自動制御学会システム・情報部門   Information Geometric Optimizationにおけるサンプルの再利用

    Individual or group name of awards:大内 一季, 白川 真一, 秋本 洋平, 大原 剛三

  • 電気学会 平成25年電子・情報・システム部門 技術委員会奨励賞

    2014.1   電気学会 電子・情報・システム部門   複数のバイナリコードを利用した高速な類似探索法の検討

    Individual or group name of awards:白川 真一

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Grant-in-Aid for Scientific Research 【 display / non-display

  • Speech-to-Lecture: 教育エージェントによる学習教材の自動生成

    Grant number:21K12160  2021.4 - 2025.3

    日本学術振興会  科学研究費助成事業  Grant-in-Aid for Scientific Research(C)

    Investigator(s):長谷川大

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  • 解の性能根拠を示す説明可能な進化計算

    Grant number:20H04254  2020.4 - 2025.3

    日本学術振興会  科学研究費助成事業  Grant-in-Aid for Scientific Research(B)

    Investigator(s):中田雅也

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  • 計算グラフの構造最適化に基づく機械学習フレームワークの創出

    Grant number:20H04240  2020.4 - 2023.3

    日本学術振興会  科学研究費助成事業  Grant-in-Aid for Scientific Research(B)

    Investigator(s):白川真一

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    Authorship:Principal investigator  Grant type:Competitive

  • 最適制御理論と人工知能技術の融合による自動着桟技術の研究

    Grant number:19K04858  2019.4 - 2022.3

    日本学術振興会  科学研究費助成事業  Grant-in-Aid for Scientific Research(C)

    Investigator(s):牧敦生

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  • 画像処理フィルタの組合せ最適化に基づく特徴抽出処理の自動構築

    Grant number:15K16029  2015.4 - 2018.3

    日本学術振興会  科学研究費助成事業  Grant-in-Aid for Young Scientists(B)

    Investigator(s):白川真一

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    Authorship:Principal investigator  Grant type:Competitive

Other external funds procured 【 display / non-display

  • IoTセキュリティのための機械学習の自動カスタマイズ技術

    2021.10 - 2025.3

    Japan Science and Technology Agency  戦略的創造研究推進事業 さきがけ「IoTが拓く未来」

    Investigator(s):白川真一

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    Authorship:Principal investigator 

  • 進化的機械知能に基づくXAIの基盤技術と産業応用基盤の開発

    2020.7 - 2025.3

    人と共に進化する次世代人工知能に関する技術開発事業 / 説明できるAIの基盤技術開発

    Investigator(s):長尾智晴

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    Authorship:Coinvestigator(s) 

  • 自動機械学習による人工知能技術の導入加速に関する研究開発

    2020.5 - 2024.3

    次世代人工知能・ロボットの中核となるインテグレート技術開発 / 人工知能技術の適用領域を広げる研究開発

    Investigator(s):大西正輝

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    Authorship:Coinvestigator(s) 

  • 生体データを用いて発がんリスクを説明できる“高信頼性進化的機械学習”の研究開発

    2019.7 - 2020.2

    次世代人工知能・ロボット中核技術開発 / 人工知能の信頼性に関する技術開発

    Investigator(s):長尾智晴

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    Authorship:Coinvestigator(s) 

  • 最先端ブラックボックス最適化に基づく パラメータフリー深層学習技術の開発と応用

    2017.4 - 2020.3

    Private Foundations  セコム科学技術振興財団 挑戦的研究助成

    Investigator(s):白川真一

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    Authorship:Principal investigator 

Presentations 【 display / non-display

  • Genetic Driftの抑制を目的とするエントロピー正則化を導入したPBILの提案

    濱野 椋希,白川 真一

    進化計算シンポジウム2021 

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    Event date: 2021.12

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 目的関数の単調増加変換に対する不変性をもつサロゲートモデルを用いた(1+1)-CMA-ESの提案

    山田 裕太郎,内田 絢斗,梅木 宏,山口 哲平,斉藤 翔汰,白川 真一

    進化計算シンポジウム2021 

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    Event date: 2021.12

    Language:Japanese   Presentation type:Oral presentation (general)  

  • カテゴリカル分布と構造正則化を用いた自然勾配法による畳み込みニューラルネットワークの構造探索

    埜田 夕平,斉藤 翔汰,白川 真一

    進化計算シンポジウム2021 

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    Event date: 2021.12

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 遺伝的プログラミングを⽤いた船体運動モデル同定における⼊⼒端⼦の影響について

    巣⼭ 凜,牧 敦⽣,宮内 新喜,⽩川 真⼀

    令和3年 日本船舶海洋工学会 秋季講演会 

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    Event date: 2021.11

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 自動機械学習とニューラルアーキテクチャサーチ

    白川真一  [Invited]

    日本鉄鋼協会 計測・制御・システム工学部会若手フォーラム 産学若手交流セミナー  2021.9  日本鉄鋼協会 計測・制御・システム工学部会

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    Event date: 2021.9

    Language:Japanese   Presentation type:Public lecture, seminar, tutorial, course, or other speech  

    Venue:オンライン開催  

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Charge of on-campus class subject 【 display / non-display

  • 2022   Advanced Artificial Intelligence II

    Graduate School of Environment and Information Sciences

  • 2022   Advanced Artificial Intelligence Ⅱ

    Interfaculty Graduate School of Innovative and Practical Studies

  • 2022   Advanced Artificial Intelligence I

    Graduate School of Environment and Information Sciences

  • 2022   Advanced Artificial Intelligence Ⅰ

    Interfaculty Graduate School of Innovative and Practical Studies

  • 2022   Advanced Workshop in Information Environment II

    Graduate School of Environment and Information Sciences

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Committee Memberships 【 display / non-display

  • 電子情報通信学会 バイオメトリクス研究専門委員会

    2022.6 - 2024.6  幹事補佐

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    Committee type:Academic society 

  • 電気学会 次世代人工知能社会の実現を指向した機械学習技術調査専門委員会

    2022.4 - 2024.3  委員

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    Committee type:Academic society 

  • 電気学会 先端システムの超知能化を指向した機械学習技術協同研究委員会

    2020.1 - 2021.12  委員

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    Committee type:Academic society 

  • 電子情報通信学会 バイオメトリクス研究専門委員会

    2019.6 - 2022.6  専門委員

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    Committee type:Academic society 

  • 計測自動制御学会 会誌出版委員会

    2019.3 - 2021.2  委員

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    Committee type:Academic society 

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