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NGUYEN TUAN CUONG  NGUYENTUAN CUONG

… Alternative Names

NGUYENTUAN CUONG  NGUYENTUAN CUONG

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Researcher Number 10814246
Other IDs
  • ORCIDhttps://orcid.org/0000-0003-2556-9191
Affiliation (Current) 2023: 東京農工大学, 工学(系)研究科(研究院), 特任助教
Affiliation (based on the past Project Information) *help 2021: 東京農工大学, 工学(系)研究科(研究院), 特任准教授
2018 – 2020: 東京農工大学, 工学(系)研究科(研究院), 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 61010:Perceptual information processing-related
Except Principal Investigator
Medium-sized Section 61:Human informatics and related fields
Keywords
Principal Investigator
clustering / handwriting / mathematical expression / online handwriting / offline handwriting / generative sequence / sequence to sequence / handwritten answers / mathematical expressions / handwriting recognition … More / weakly supervised / hierarchical features / CNN / dissimilarity / semi-supervised learning / sequential data / structural data / 距離学習 / Seq2Seq / 手書き数式 / クラスタリング / deep metric learning … More
Except Principal Investigator
手書き数式認識 / 構造解析 / 文脈処理 / 深層ニューラルネットワーク / アテンション Less
  • Research Projects

    (3 results)
  • Co-Researchers

    (1 People)
  •  Deep metric learning through local attention and generative lossPrincipal Investigator

    • Principal Investigator
      NGUYENTUAN CUONG
    • Project Period (FY)
      2021 – 2023
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Tokyo University of Agriculture and Technology
  •  Enhancement of handwritten mathematical expression recognition through establishment of multi-dimensional structural analysis

    • Principal Investigator
      中川 正樹
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 61:Human informatics and related fields
    • Research Institution
      Tokyo University of Agriculture and Technology
  •  A Sequence-to-sequence Model based Dissimilarity Measurement for Clustering Structural DataPrincipal Investigator

    • Principal Investigator
      NGUYENTUAN CUONG
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Tokyo University of Agriculture and Technology
  • 1.  中川 正樹 (10126295)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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