YOKOTA Tatsuya

写真a

Affiliation Department etc.

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

Title

Associate Professor

Homepage URL

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

Graduating School

  • 2005.04
    -
    2009.03

    Tokyo Institute of Technology   Faculty of Engineering   Graduated

Graduate School

  • 2011.04
    -
    2014.03

    Tokyo Institute of Technology    Doctor's Course  Completed

  • 2009.04
    -
    2011.03

    Tokyo Institute of Technology    Master's Course  Completed

External Career

  • 2019.10
    -
    Now

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

  • 2017.02
    -
    2017.03

    Harvard Medical School   Computational Radiology Laboratory   Visiting Researcher  

  • 2014.04
    -
    2016.02

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

  • 2011.04
    -
    2014.03

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

Academic Society Affiliations

  • 2015.12
    -
    Now

    APSIPA

  • 2013.11
    -
    Now

    IEICE

  • 2013.09
    -
    Now

    IEEE

Field of expertise (Grants-in-aid for Scientific Research classification)

  • Mathematical informatics

  • Intelligent informatics

  • Perceptual information processing

  • Soft computing

  • Life / Health / Medical informatics

 

Papers

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Books

Presentations

  • FAST ALGORITHM FOR LOW-RANK TENSOR COMPLETION IN DELAY EMBEDDED SPACE

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

    APSIPA ASC  2021.12  -  2021.12 

  • Advanced Topics of Prior-based Image Restoration: Tensors and Neural Networks

    T. Yokota  [Invited]

    APSIPA ASC  2021.12  -  2021.12 

  • 免疫染色データを利用するHE免疫染色データを利用するHE染色画像に基づく悪性リンパ腫のサブタイプ識別器構築

    廣野勇起,橋本典明,マウリシオ クグレ,横田達也,永石美晴,三好寛明,大島孝一,竹内一郎,本谷秀堅

    MI研究会  2021.07  -  2021.07 

  • Tensor Representations in Signal Processing and Machine Learning

    Tatsuya Yokota

    APSIPA ASC 2020  2020.12  -  2020.12 

  • Nonnegative Matrix Factorization in Application to Dynamic PET image reconstruncion

    Tatsuya Yokota  [Invited]

    RIKEN AIP Open Seminar  2020.11  -  2020.11 

  • Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting

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

    AAAI  (NY, USA)  2020.02  -  2020.02 

  • 病理顕微鏡画像の複数免疫染色間の相互変換と特徴空間の共有

    足立秀雄,クグレ マウリシオ,岩本千佳,大内田研宙,橋爪 誠,横田達也,本谷秀堅

    MI研究会  2020.01  -  2020.01 

  • Construction of a Multi-modal Model of Pancreatic Tumors by Integration of MRI and Pathological Images using Conditional Cycle alpha-GAN

    T. Shimomura, M. Kugler, T. Yokota, C. Iwamoto, K. Ohuchida, M. Hashizume, and H. Hontani

    ICCV Workshop  2019.11  -  2019.11 

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

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

    ICCV  2019.11  -  2019.11 

  • Multiway Delay Embedding Transform for Tensors and its Applications

    Tatsuya Yokota  [Invited]

    RIKEN-AIP Public Seminar  2019.10  -  2019.10 

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Academic Awards Received

  • IEEE Senior Member

    2019.08    

    Winner: Tatsuya Yokota

  • Outstanding Award

    2019.03    

    Winner: Tatsuya Yokota

  • Young Author Best Paper Award

    2018.12    

    Winner: Tatsuya Yokota, Qibin Zhao, and Andrzej Cichocki

  • Incentive Award

    2018.03    

    Winner: Tatsuya Yokota

  • Outstanding Reviewer

    2017.01.03    

    Winner: Tatsuya Yokota

  • The 7th Research Incentive Award

    2016.03    

    Winner: Tatsuya Yokota

  • Incentive Award

    2015    

    Winner: Tatsuya Yokota

  • Young Researcher Award

    2014.12    

    Winner: Tatsuya Yokota

Grant-in-Aid for Scientific Research

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

    Grant-in-Aid for Scientific Research(B)

    Project Year: 2020.04  -  2024.03  Investigator(s): Qibin Zhao

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

    Grant-in-Aid for Scientific Research(B)

    Project Year: 2020.04  -  2023.03  Investigator(s): Tatsuya Yokota, Hidekata Hontani, Qibin Zhao

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

    Grant-in-Aid for Scientific Research(B)

    Project Year: 2018.04  -  2021.03  Investigator(s): H. Hontani, T. Yokota, M. Kugler, T. Katagiri

  • Model selection of tensor network and its applications

    Grant-in-Aid for Young Scientists(B)

    Project Year: 2015.04  -  2018.03  Investigator(s): Tatsuya Yokota

Other external funds procured

  • JST ACT-I Acceleration Phase

    Offer organization: Japan Science and Technology Agency  JST ACT-I Acceleration Phase

    Project Year: 2020.04  -  2022.03  Investigator(s): Tatsuya Yokota

  • JST ACT-I

    Offer organization: Japan Science and Technology Agency  JST ACT-I

    Project Year: 2018.10  -  2020.03  Investigator(s): Tatsuya Yokota

  • Offer organization: Private Foundations 

    Project Year: 2018.04  -  2019.03  Investigator(s): Tatsuya Yokota

 
 

Academic Activity

  • 2019.10
    -
    2020.11

    IEICE  

  • 2017.06
    -
    Now

    IEICE