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J-GLOBAL ID：201801020597981081   Update date: Jan. 10, 2025

Yokota Tatsuya

ヨコタ タツヤ | Yokota Tatsuya
Affiliation and department：
Nagoya Institute of Technology Graduate School of Engineering Nagare College

About Nagoya Institute of Technology Graduate School of Engineering Nagare College


Job title： Associate Professor
Other affiliations (2)：
  • RIKEN
  • RIKEN Center for Advanced Intelligence Project (AIP)  Tensor Learning Team   Visiting Scientist
Research field  (5)： Biological, health, and medical informatics ,  Soft computing ,  Perceptual information processing ,  Intelligent informatics ,  Mathematical informatics
Research keywords  (4)： テンソル分解 ,  信号処理 ,  パターン認識 ,  機械学習
Research theme for competitive and other funds  (10)：
  • 2022 - 2025 Construction of a disease type discriminator based on cell histomorphology and realization of a platform for atypicality analysis of malignant lymphomas
  • 2022 - 2025 Construction of a disease type discriminator based on cell histomorphology and realization of a platform for atypicality analysis of malignant lymphomas
  • 2020 - 2024 Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms Development
  • 2020 - 2023 Rank estimation and optimization methods of tensor network decomposition and its applications
  • 2020 - 2022 Multiway Delay Embedding and Modeling of Tensors
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Papers (50)：
  • Noriaki Hashimoto, Kaho Ko, Tatsuya Yokota, Kei Kohno, Masato Nakaguro, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani. Subtype Classification of Malignant Lymphoma Using Immunohistochemical Staining Pattern. International Journal of Computer Assisted Radiology and Surgery. 2022
  • Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota, Masato Nakaguro, Kei Kohno, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontani. Detection of DLBCL regions in H&E stained whole slide pathology images using Bayesian U-Net. Proceedings of IFMIA. 2021
  • Ryoichi Koga, Noriaki Hashimoto, Tatsuya Yokota, Masato Nakaguro, Kei Kohno, Shigeo Nakamura, Ichiro Takeuchi, Hidekata Hontan. Stain transfer for automatic annotation of malignant lymphoma regions in H&E stained whole slide histopathology images. Proceedings of IFMIA. 2021
  • T. Yokota, H. Hontani, Q. Zhao, A. Cichocki. Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. IEEE Transactions on Neural Networks and Learning Systems. 2020. 33. 3. 1022-1036
  • F. Sedighin, A. Cichocki, T. Yokota, Q. Shi. Matrix and Tensor Completion in Multiway Delay Embedded Space Using Tensor Train, with Application to Signal Reconstruction. IEEE Signal Processing Letters. 2020. 27. 810-814
ｍore...
MISC (2)：
Books (1)：
  • "Chapter 11: Tensor methods for low-level vision" in Tensors for Data Processing: Theory, Methods and Applications
    Elsevier 2021 ISBN:9780128244470
Lectures and oral presentations  (77)：
  • Advanced Topics of Prior-based Image Restoration: Tensors and Neural Networks
    (APSIPA ASC 2021)
  • FAST ALGORITHM FOR LOW-RANK TENSOR COMPLETION IN DELAY EMBEDDED SPACE
    (APSIPA ASC 2021)
  • Neural Tangent KernelによるDeep Image Priorの解析
    (信号処理シンポジウム 2021)
  • 3次元再構成した膵癌腫瘍の病理顕微鏡画像中の新生血管構造記述
    (MI研究会 2021)
  • MR 画像からの 3 次元導電率分布の回帰による TMS のための誘導電場の回帰精度の改善
    (日本医用画像工学会大会 2021)
ｍore...
Education (3)：
  • 2011 - 2014 Tokyo Institute of Technology
  • 2009 - 2011 Tokyo Institute of Technology
  • 2005 - 2009 Tokyo Institute of Technology Faculty of Engineering
Professional career (1)：
  • 博士(工学) (東京工業大学)
Work history (6)：
  • 2021/04/01 - 現在 Nagoya Institute of Technology Graduate School of Engineering Nagare College Associate Professor
  • 2019/10/01 - 現在 RIKEN Center for Advanced Intelligence Project (AIP) Tensor Learning Team Visiting Scientist
  • 2016/04/01 - 2021/03/31 Nagoya Institute of Technology Graduate School of Engineering Nagare College Assistant Professor
  • 2017/02/01 - 2017/03/15 Harvard Medical School Computational Radiology Laboratory Visiting Researcher
  • 2014/04/01 - 2016/02/29 RIKEN Brain Science Institute (BSI) Advanced Brain Signal Processing Unit (Andrzej Cichocki Laboratory) Researcher
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Committee career (3)：
  • 2021/02/01 - 現在 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
  • 2017/06/01 - 現在 電子情報通信学会 信号処理研究専門委員
  • 2019/10 - 2020/11 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
Awards (16)：
  • 2020/08/20 - 電子情報通信学会 システムと信号処理サブソサイエティ貢献賞
  • 2019/08 - IEEE IEEE Senior Member
  • 2019/03 - 名古屋工業大学 若手研究イノベータ養成センター 名古屋工業大学 若手研究イノベータ 優秀賞
  • 2019/03 - Nagoya Institute of Technology Center for Innovative Young Researchers Outstanding Award
  • 2018/12 - IEEE Signal Processing Society (SPS) Tokyo Joint Chapter IEEE Signal Processing Society Japan Young Author Best Paper Award Smooth PARAFAC Decomposition for Tensor Completion
Show all
Association Membership(s) (4)：
日本学術振興会協力会 AI活用型システム創成委員会 ,  APSIPA ,  IEICE ,  IEEE
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