Rchr
J-GLOBAL ID:200901079803542280   Update date: Feb. 01, 2024

Yokota Rio

ヨコタ リオ | Yokota Rio
Affiliation and department:
Job title: Professor
Homepage URL  (2): http://www.rio.gsic.titech.ac.jp/jp/index.htmlhttp://www.rio.gsic.titech.ac.jp/en/index.html
Research field  (5): Intelligent informatics ,  Mathematical informatics ,  Computational science ,  High-performance computing ,  Fluid engineering
Research keywords  (4): Numerical Analysis ,  Deep Learning ,  High Performance Computing ,  GPU
Research theme for competitive and other funds  (16):
  • 2023 - 2027 Next-generation high-performance linear solver for future computational science and engineering
  • 2021 - 2027 A New Bayes Duality Principle for Adaptive, Robust, Life-long Learning of AI
  • 2022 - 2026 Functional improvement of mixing promotion in fluid equipment by elucidating the universal statistical law of two-phase turbulence
  • 2022 - 2025 Fast and Accurate Eigenvalue Calculations by Hierarchical Low-rank Approximation and its Application to Large-scale Electronic Structure Calculations
  • 2021 - 2024 Construction of numerical linear algebra based on lattice H-matrices and its high-performance implementation on modern architectures
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Papers (114):
  • Sora Takashima, Ryoh Hayamizu, Nakamasa Inoue, Hirokatsu Kataoka, Rio Yokota. Visual Atoms: Pre-training Vision Transformers with Sinusoidal Waves. IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2023
  • 中村 祥大, 横田 理央. ラージバッチ学習における汎化性能の低下を抑制する正則化手法. 人工知能学会全国大会. 2023
  • Hiroyuki Ootomo, Hidetaka Manabe, Kenji Harada, Rio Yokota. Quantum Circuit Simulation by SGEMM Emulation on Tensor Cores and Automatic Precision Selection. ISC High Performance. 2023
  • 杉山 佳史, 片岡 裕雄, 横田 理央, 井上 中順. 敵対的距離学習モジュールを用いた特徴変動に頑健な画像認識のための対照学習. パターン認識・メディア理解研究会 (PRMU). 2023
  • 近江 俊樹, 中村 凌, 片岡 裕雄, 井上 中順, 横田 理央. ニュートンフラクタル画像による事前学習効果. 情報処理学会全国大会. 2023
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MISC (29):
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Books (3):
  • High Performance Parallelism Pearls
    Morgan Kaufmann 2014
  • GPU Computing GEMS
    Morgan Kaufmann 2011 ISBN:0123849888
  • GPU Computing Gems
    Morgan Kaufmann 2011 ISBN:0123849888
Lectures and oral presentations  (153):
  • O(N)で並列性の高い密行列のLU分解
    (RIMS 研究集会 「数値解析が拓く次世代情報社会~エッジから富岳まで~」 2022)
  • Matrices in Deep Neural Networks and How to Compute Them in Parallel
    (IEEE CLUSTER 2022 2022)
  • 人工画像を用いたVision Transformerの大規模事前学習
    (社会的課題解決型データサイエンス・AI研究推進体シンポジウム 2022)
  • 人工画像を用いたVision Transformerの大規模事前学習
    (DENSO IT LAB x TOKYO TECH Discussion Night in MIRU 2022)
  • Vision Transformerにおけるバッチサイズの汎化性能への影響
    (第84回情報処理学会全国大会 2022)
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Education (3):
  • 2005 - 2009 Keio University Graduate School of Science and Technology School of Science for Open and Environmental Systems (PhD)
  • 2003 - 2005 Keio University Graduate School of Science and Technology School of Science for Open and Environmental Systems (Masters)
  • 1997 - 2003 Keio University Faculty of Science and Technology Department of Mechanical Engineering
Professional career (1):
  • Ph.D. (Engineering) (Keio University)
Work history (5):
  • 2023/01 - 現在 Tokyo Institute of Technology Global Scientific Information and Computing Center Professor
  • 2015/04 - 2022/12 Tokyo Institute of Technology Global Scientific Information and Computing Center Associate Professor
  • 2011/09 - 2015/03 King Abdullah University of Science and Technology Applied Mathematics and Computer Science Research Scientist
  • 2010/09 - 2011/08 Boston University Department of Mechanical Engineering Post-doctoral Research Associate
  • 2009/02 - 2010/08 University of Bristol Department of Mathematics Post-doctoral Research Associate
Committee career (64):
  • 2022 - 2022 The International Conference for High Performance Computing, Networking, Storage and Analysis (SC 2022), program committee, workshop chair
  • 2022 - 2022 49th International Conference on Parallel Processing (ICPP 2022), program committee
  • 2022 - 2022 IEEE Cluster (IEEE Cluster 2022), program committee
  • 2022 - 2022 ISC High Performance (ISC 2022), poster committee
  • 2022 - 2022 The 36th IEEE International Parallel & Distributed Processing Symposium (IPDPS 2022), program committee
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Awards (1):
  • 2009 - ACM Gordon Bell Prize (price/performance)
Association Membership(s) (11):
THE JAPAN SOCIETY FOR INDUSTRIAL AND APPLIED MATHEMATICS ,  THE JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE ,  INFORMATION PROCESSING SOCIETY OF JAPAN ,  Society for Industrial and Applied Mathematics ,  Association for Computing Machinery ,  THE JAPAN SOCIETY OF MECHANICAL ENGINEERS ,  Association for Computing Machinery ,  Ameriacn Society of Mechanical Engineers ,  Japan Society of Mechanical Engineers ,  THE JAPANESE SOCIETY FOR ARTIFICIAL INTELLIGENCE ,  Institute of Electrical and Electronics Engineers
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