YOKOTA Tatsuya

写真a

Affiliation Department

Department of Computer Science
Department of Computer Science
Center of Biomedical Physics and Information Technology

Title

Associate Professor

Homepage

https://sites.google.com/site/yokotatsuya/home

External Link

Degree

  • 博士(工学) ( 2014.03   東京工業大学 )

Research Areas

  • Informatics / Mathematical informatics

  • Informatics / Intelligent informatics

  • Informatics / Perceptual information processing

  • Informatics / Soft computing

  • Informatics / Life, health and medical informatics

From School

  • Tokyo Institute of Technology   Faculty of Engineering   Graduated

    2005.04 - 2009.03

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    Country:Japan

From Graduate School

  • Tokyo Institute of Technology   Doctor's Course   Completed

    2011.04 - 2014.03

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    Country:Japan

  • Tokyo Institute of Technology   Master's Course   Completed

    2009.04 - 2011.03

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    Country:Japan

External Career

  • RIKEN Center for Advanced Intelligence Project (AIP)   Tensor Learning Team   Visiting Scientist

    2019.10

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    Country:Japan

  • The University of Tokyo

    2022.11

  • RIKEN Brain Science Institute (BSI)   Advanced Brain Signal Processing Unit (Andrzej Cichocki Laboratory)   Researcher

    2014.04 - 2016.02

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    Country:Japan

  • RIKEN Brain Science Institute (BSI)   Advanced Brain Signal Processing Unit (Andrzej Cichocki Laboratory)   Junior Research Associate

    2011.04 - 2014.03

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    Country:Japan

  • Harvard Medical School   Computational Radiology Laboratory   Visiting Researcher

    2017.02 - 2017.03

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    Country:United States

Professional Memberships

  • 日本学術振興会協力会 AI活用型システム創成委員会

    2021.02

  • APSIPA

    2015.12

  • IEICE

    2013.11

  • IEEE

    2013.09

 

Papers

  • Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space Reviewed International journal

    Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota

    Proceedings of CVPR   2022.06

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    Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

  • Bayesian tensor completion and decomposition with automatic CP rank determination using MGP shrinkage prior Reviewed International coauthorship International journal

    H. Takayama, Q. Zhao, H. Hontani, and T. Yokota

    SN Computer Science   3 ( 225 )   1 - 17   2022.03

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    Language:English   Publishing type:Research paper (scientific journal)   Publisher:Springer  

    DOI: https://doi.org/10.1007/s42979-022-01119-8

  • Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior Reviewed International coauthorship International journal

    T. Yokota, H. Hontani, Q. Zhao, and A. Cichocki

    IEEE Transactions on Neural Networks and Learning Systems   33 ( 3 )   1022 - 1036   2020.12

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

  • Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting Reviewed International coauthorship International journal

    Q. SHI, J. YIN, J. CAI, A. Cichocki, T. Yokota, L. CHEN, M. Yuan, and J. Zeng

    Proceedings of AAAI   2020.02

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    Language:English   Publishing type:Research paper (international conference proceedings)  

  • Dynamic PET Image Reconstruction Using Nonnegative Matrix Factorization Incorporated with Deep Image Prior Reviewed International journal

    T. Yokota, K. Kawai, M. Sakata, Y, Kimura, and H, Hontani

    Proceedings of ICCV   2019.11

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • Real Time Estimation of Electric Fields Induced by Transcranial Magnetic Stimulation with Deep Neural Networks Reviewed International coauthorship International journal

    Tatsuya Yokota, Toyohiro Maki, Tatsuya Nagata, Takenobu Murakami, Yoshikazu Ugawa, Ilkka Laakso, Akimasa Hirata, Hidekata Hontani

    Brain Stimulation   2019.07

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.1016/j.brs.2019.06.015

    Other Link: https://www.sciencedirect.com/science/article/pii/S1935861X19302669

  • Simultaneous Tensor Completion and Denoising by Noise Inequality Constrained Convex Optimization Reviewed International journal

    T. Yokota and H. Hontani

    IEEE Access   7   15669 - 15682   2019.01

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE  

    DOI: 10.1109/ACCESS.2019.2894622

    Other Link: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8625383

  • Missing Slice Recovery for Tensors Using a Low-rank Model in Embedded Space Reviewed International coauthorship International journal

    T. Yokota, B. Erem, S. Guler, S. Warfield, and H. Hontani

    Proceedings of CVPR   2018.06

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.1109/CVPR.2018.00861

    Other Link: https://arxiv.org/abs/1804.01736

  • Simultaneous Visual Data Completion and Denoising based on Tensor Rank and Total Variation Minimization and its Primal-dual Splitting Algorithm Reviewed International journal

    Tatsuya Yokota, Hidekata Hontani

    Proceedings of CVPR   2017.07

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)   Publisher:IEEE  

    DOI: 10.1109/CVPR.2017.409

    Other Link: http://openaccess.thecvf.com/content_cvpr_2017/papers/Yokota_Simultaneous_Visual_Data_CVPR_2017_paper.pdf

  • Robust Multilinear Tensor Rank Estimation Using Higher Order Singular Value Decomposition and Information Criteria Reviewed International journal

    T. Yokota, N. Lee, A. Cichocki

    IEEE Transactions on Signal Processing   65 ( 5 )   1196 - 1206   2017.03

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)   Publisher:IEEE  

    DOI: 10.1109/TSP.2016.2620965

    Other Link: http://ieeexplore.ieee.org/document/7676397/

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Books and Other Publications

  • "Chapter 11: Tensor methods for low-level vision" in Tensors for Data Processing: Theory, Methods and Applications

    T. Yokota, C.F. Caiafa, Q. Zhao( Role: Contributor)

    Elsevier  2021.11  ( ISBN:9780128244470

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    Total pages:596   Responsible for pages:371--426   Language:eng   Book type:Scholarly book

    Other Link: https://www.amazon.it/Tensors-Data-Processing-Methods-Applications/dp/012824447X

Presentations

  • ダイナミックPET画像再構成における非負行列分解の安定な最適化

    松村海飛,本谷秀堅,坂田宗之,木村裕一,横田達也

    信号処理シンポジウム  2022.12 

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    Event date: 2022.12

    Language:Japanese   Presentation type:Oral presentation (general)  

  • ランダム化アルゴリズムを用いたテンソル分解の高速化

    渡邉大樹,本谷秀堅,横田達也

    信号処理シンポジウム  2022.12 

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    Event date: 2022.12

    Language:Japanese   Presentation type:Oral presentation (general)  

  • MGP縮退事前分布を用いたテンソル補完及びランク決定法

    高山拓夢,Qibin Zhao,本谷秀堅,横田達也

    情報論的学習理論ワークショップ(IBIS2022)  2022.11 

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    Event date: 2022.11

    Language:Japanese   Presentation type:Poster presentation  

  • Consistent MDT-Tucker: A Hankel Structure Constrained Tucker Decomposition in Delay Embedded Space International conference

    R. Yamamoto, H. Hontani, A. Imakura, and T. Yokota

    APSIPA-ASC 

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    Event date: 2022.11

    Language:English   Presentation type:Oral presentation (general)  

  • Fast Signal Completion Algorithm With Cyclic Convolutional Smoothing International conference

    H. Takayama, and T. Yokota

    APSIPA-ASC 

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    Event date: 2022.11

    Language:English   Presentation type:Oral presentation (general)  

  • テンソル分解のアルゴリズムとその応用 Invited

    横田達也

    離散的手法による場と時空のダイナミクス 

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    Event date: 2022.08

    Language:Japanese   Presentation type:Oral presentation (general)  

  • テンソル分解の基礎と応用 Invited

    横田達也

    MIRU(チュートリアル) 

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    Event date: 2022.07

    Language:Japanese   Presentation type:Oral presentation (general)  

  • Graph Neural Network による悪性リンパ腫のサブタイプ識別と識別根拠となる細胞核の可視化

    田中 寛武,橋本 典明,横田 達也,クグレマウリシオ,大島 孝一,三好 寛明,永石 美晴, 竹内 一郎,本谷 秀堅

    日本医用画像工学会大会  2022.07 

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    Event date: 2022.07

    Language:Japanese   Presentation type:Oral presentation (general)  

  • Contrastive Learning に基づく次元削減による胸部 CT 画像に対する異常検知

    飛世 裕貴,クグレマウリシオ,横田 達也,橋本 正弘,大竹 義人,明石 敏昭,清水 昭伸, 本谷 秀堅

    日本医用画像工学会大会  2022.07 

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    Event date: 2022.07

    Language:Japanese   Presentation type:Oral presentation (general)  

  • 悪性リンパ腫細胞核画像の低次元表現獲得と特徴の集合に基づくサブタイプ識別器の構築

    小出 新悟,橋本 典明,横田 達也,クグレマウリシオ,大島 孝一,三好 寛明,永石 美晴, 竹内 一郎,本谷 秀堅

    日本医用画像工学会大会  2022.07 

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    Event date: 2022.07

    Language:Japanese   Presentation type:Oral presentation (general)  

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Awards

  • システムと信号処理サブソサイエティ貢献賞

    2020.08   電子情報通信学会  

    横田達也

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    Award type:Award from Japanese society, conference, symposium, etc.  Country:Japan

  • IEEE Senior Member

    2019.08   IEEE  

    Tatsuya Yokota

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    Country:United States

  • Outstanding Award

    2019.03   Nagoya Institute of Technology Center for Innovative Young Researchers  

    Tatsuya Yokota

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    Country:Japan

  • Young Author Best Paper Award

    2018.12   IEEE Signal Processing Society (SPS) Tokyo Joint Chapter   Smooth PARAFAC Decomposition for Tensor Completion

    Tatsuya Yokota, Qibin Zhao, and Andrzej Cichocki

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    Award type:International academic award (Japan or overseas)  Country:Japan

  • Incentive Award

    2018.03   Nagoya Institute of Technology Center for Innovative Young Researchers  

    Tatsuya Yokota

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    Country:Japan

  • Outstanding Reviewer

    2017.01   IEEE Transactions on Cybernetics  

    Tatsuya Yokota

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    Award type:Honored in official journal of a scientific society, scientific journal  Country:United States

  • The 7th Research Incentive Award

    2016.03   RIKEN   Development of new technology and learning algorithm for analysis brain data using matrix/tensor decompositions

    Tatsuya Yokota

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    Country:Japan

  • Incentive Award

    2015   Japan Society of Fuzzy Theory and Intelligent Informatics (SOFT)   Multilinear tensor rank estimation via sparse Tucker decomposition

    Tatsuya Yokota

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    Award type:Award from international society, conference, symposium, etc.  Country:Japan

  • Young Researcher Award

    2014.12   IEEE Computational Intelligence Society Japan Chapter (CISJ)   Multilinear tensor rank estimation via sparse Tucker decomposition

    Tatsuya Yokota

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    Award type:Award from international society, conference, symposium, etc.  Country:Japan

Scientific Research Funds Acquisition Results

  • Rank estimation and optimization methods of tensor network decomposition and its applications

    Grant number:20H04208  2020.04 - 2023.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(B)

    Tatsuya Yokota, Hidekata Hontani, Qibin Zhao

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    Authorship:Principal investigator  Grant type:Competitive

  • 細胞組織形態に基づく病型識別器の構築と悪性リンパ腫の異型性解析基盤の実現

    Grant number:22H03613  2022.04 - 2025.03

    科学研究費補助金  基盤研究(B)

    本谷秀堅,三好寛明,大島孝一,Kugler Mauricio,横田達也

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    Authorship:Coinvestigator(s)  Grant type:Competitive

  • Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms Development

    Grant number:20H04249  2020.04 - 2024.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(B)

    Qibin Zhao, Jianting Cao, Tatsuya Yokota

  • Construction of high-definition information space for understanding of 3D internal structure of pancreatic cancer tumor

    Grant number:18H03262  2018.04 - 2021.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research(B)

    H. Hontani, T. Yokota, M. Kugler, T. Katagiri

  • Model selection of tensor network and its applications

    Grant number:15K16067  2015.04 - 2018.03

    Grant-in-Aid for Scientific Research  Grant-in-Aid for Young Scientists(B)

    Tatsuya Yokota

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    Authorship:Principal investigator  Grant type:Competitive

Other External Funds

  • Multiway Delay Embedding and Modeling of Tensors

    2020.04 - 2022.03

    Japan Science and Technology Agency  JST ACT-I Acceleration Phase 

    Tatsuya Yokota

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    Grant type:Competitive

  • Multiway Delay Embedding and Modeling of Tensors

    2018.10 - 2020.03

    Japan Science and Technology Agency  JST ACT-I 

    Tatsuya Yokota

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    Grant type:Competitive

  • Fast optimization of matrix and tensor decompositions with parallel computing and its applications

    2018.04 - 2019.03

    Private Foundations 

    Tatsuya Yokota

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    Authorship:Principal investigator  Grant type:Competitive

 

Committee Memberships

  • 情報処理学会   コンピュータビジョンとイメージメディア研究運営委員会 運営委員  

    2022.04   

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    Committee type:Academic society

  • 日本学術振興会協力会 AI活用型システム創成委員会   委員  

    2021.02   

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    Committee type:Academic society

  • 電子情報通信学会   第33回 回路とシステムワークショップ実行委員会 幹事  

    2019.10 - 2020.11   

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    Committee type:Academic society

  • 電子情報通信学会   信号処理研究専門委員  

    2017.06   

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    Committee type:Academic society