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HONDA Toshio  本田 敏雄

ORCIDConnect your ORCID iD *help
Researcher Number 30261754
Other IDs
Affiliation (Current) 2025: 一橋大学, 大学院経済学研究科, 教授
Affiliation (based on the past Project Information) *help 2020 – 2024: 一橋大学, 大学院経済学研究科, 教授
2012 – 2018: 一橋大学, 大学院経済学研究科, 教授
2009: 一橋大学, 経済学研究科, 教授
Review Section/Research Field
Principal Investigator
Basic Section 60030:Statistical science-related / Foundations of mathematics/Applied mathematics
Except Principal Investigator
Economic statistics / Statistical science
Keywords
Principal Investigator
超高次元データ / セミパラメトリックモデル / 変動係数モデル / 変数選択 / Cox回帰モデル / 加法モデル / 高次元データ / 部分線形モデル / 生存時間データ / 前進型変数選択 … More / 線形分位点回帰モデル / 一般化線形モデル / 分位点回帰モデル / 情報量規準 / 前進型変数選択法 / スクリーニング法 / スプライン基底 / 分位点回帰 / longitudinal data … More
Except Principal Investigator
倒産確率 / 時系列 / フラクショナル・ブラウン運動 / フラクショナル・ブラウン運動 / 統合リスク管理 / 統合的リスク管理(ERM) / 総合的リスク管理(ERM) / ビッグデータ / 構造変化 / 高頻度データ / コピュラ / 計量的リスク管理 / 統合的リスク管理 / 計量経済学 / 金融工学 / 条件付き検定 / 超平面配置 / 条件つき検定 / グレブナー基底 / トーリックイデアル / マルコフ連鎖モンテカルロ法 Less
  • Research Projects

    (6 results)
  • Research Products

    (49 results)
  • Co-Researchers

    (29 People)
  •  Studies on structured nonparametric regression models for ultra-high dimensional dataPrincipal Investigator

    • Principal Investigator
      本田 敏雄
    • Project Period (FY)
      2024 – 2026
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Hitotsubashi University
  •  Studies on statistical inference for ultra-high dimensional semiparametric modelsPrincipal Investigator

    • Principal Investigator
      本田 敏雄
    • Project Period (FY)
      2020 – 2024
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 60030:Statistical science-related
    • Research Institution
      Hitotsubashi University
  •  Studies on screening methods for data with ultra-high dimensional covariatesPrincipal Investigator

    • Principal Investigator
      HONDA TOSHIO
    • Project Period (FY)
      2016 – 2018
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Foundations of mathematics/Applied mathematics
    • Research Institution
      Hitotsubashi University
  •  Research on variable selection for high-dimensional varying coefficient modelsPrincipal Investigator

    • Principal Investigator
      HONDA Toshio
    • Project Period (FY)
      2013 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Research Field
      Foundations of mathematics/Applied mathematics
    • Research Institution
      Hitotsubashi University
  •  Financial Engineering to ERM: Theoretical and Empirical Investigation

    • Principal Investigator
      SHIBA Tsunemasa
    • Project Period (FY)
      2012 – 2015
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Economic statistics
    • Research Institution
      Hitotsubashi University
  •  Developments of computational algebraic statistics

    • Principal Investigator
      TAKEMURA Akimichi
    • Project Period (FY)
      2006 – 2009
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Research Field
      Statistical science
    • Research Institution
      The University of Tokyo

All 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2007 Other

All Journal Article Presentation

  • [Journal Article] Forward variable selection for ultra-high dimensional quantile regression models2023

    • Author(s)
      Toshio Honda, Chien-Tong Lin
    • Journal Title

      Annals of the Institute of Statistical Mathematics

      Volume: - Issue: 3 Pages: 393-424

    • DOI

      10.1007/s10463-022-00849-z

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Journal Article] Statistical Inferences on High-Dimensional Cox Regression Models2023

    • Author(s)
      本田敏雄
    • Journal Title

      Journal of the Japan Statistical Society, Japanese Issue

      Volume: 52 Issue: 2 Pages: 113-129

    • DOI

      10.11329/jjssj.52.113

    • ISSN
      0389-5602, 2189-1478
    • Year and Date
      2023-03-01
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Journal Article] Forward variable selection for sparse ultra-high-dimensional generalized varying coefficient models2021

    • Author(s)
      Toshio Honda, Chien-Tong Lin
    • Journal Title

      Japanese Journal of Statistics and Data Science

      Volume: - Issue: 1 Pages: 151-179

    • DOI

      10.1007/s42081-020-00090-z

    • NAID

      210000182599

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Journal Article] Adaptively weighted group Lasso for semiparametric quantile regression models2019

    • Author(s)
      1.Toshio Honda, Ching-Kang Ing, Wei-Ying Wu
    • Journal Title

      Bernoulli

      Volume: 印刷中

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Journal Article] Variable selection and structure identification for varying coefficient Cox models2017

    • Author(s)
      Toshio Honda, Ryota Yabe
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 161 Pages: 103-122

    • DOI

      10.1016/j.jmva.2017.07.007

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-16K05268, KAKENHI-PROJECT-16H06836
  • [Journal Article] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2016

    • Author(s)
      Ming-Yen Cheng, Toshio Honda, Jialiang Li
    • Journal Title

      The Annals of Statistics

      Volume: 印刷中

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Journal Article] Forward variable selection for sparse ultra-high dimensional varying coefficient models2016

    • Author(s)
      Ming-Yen Cheng, Toshio Honda and Jin-Ting Zhang
    • Journal Title

      Journal of the American Statistical Association

      Volume: 印刷中 Issue: 515 Pages: 1209-1221

    • DOI

      10.1080/01621459.2015.1080708

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24243031, KAKENHI-PROJECT-25400197
  • [Journal Article] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2016

    • Author(s)
      Ming-Yen Cheng, Toshio Honda and Jialiang Li
    • Journal Title

      The Annals of Statistics

      Volume: 印刷中

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Journal Article] Variable selection in Cox regression models with varying coefficients2014

    • Author(s)
      Toshio Honda, Wolfgang Karl Hardle
    • Journal Title

      Journal of Statistical Planning and Inference

      Volume: 148 Pages: 67-81

    • DOI

      10.1016/j.jspi.2013.12.002

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24243031, KAKENHI-PROJECT-25400197
  • [Journal Article] Nonparametric independence screening and structure identification for ultra-high dimensional longitudinal data2014

    • Author(s)
      Ming-Yen Cheng, Toshio Honda, Jialiang Li, Heng Peng
    • Journal Title

      Annals of Statistics

      Volume: 42 Issue: 5 Pages: 1819-1849

    • DOI

      10.1214/14-aos1236

    • Peer Reviewed / Acknowledgement Compliant
    • Data Source
      KAKENHI-PROJECT-24243031, KAKENHI-PROJECT-25400197
  • [Journal Article] Nonparametric LAD Cointegrating Regression2013

    • Author(s)
      Toshio Honda
    • Journal Title

      Journal of Multivariate Analysis

      Volume: 117 Pages: 150-162

    • DOI

      10.1016/j.jmva.2013.02.009

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Journal Article] Nonparametric Quantile Regression with Heavy-Tailed and Strongly Dependent Errors2013

    • Author(s)
      Toshio Honda
    • Journal Title

      Annals of the Institute of Statistical Mathematics

      Volume: 65巻 Issue: 1 Pages: 23-47

    • DOI

      10.1007/s10463-012-0359-8

    • NAID

      40019552182

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Journal Article] Gene systems network inferred from expression profiles in hepatocellular carcinogenesis by graphical Gaussian model.2007

    • Author(s)
      Sachiyo Aburatani, Fung Sun, Shigeru Saito, Masao Honda, Shuichi Kaneko, Katsuhisa Horimoto.
    • Journal Title

      EURASIP J.ioinfo. Systems Biol. 2007

      Pages: 47214-47214

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18200019
  • [Presentation] Sparse quantile regression via l_0 penalty2024

    • Author(s)
      本田敏雄
    • Organizer
      統計科学・機械学習・情報数学の最前線(科研費シンポジウム)
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] Forward variable selection for ultra-high dimensional models2023

    • Author(s)
      本田敏雄
    • Organizer
      EcoSta2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] Forward variable selection for ultra-high dimensional quantile regression models2022

    • Author(s)
      本田敏雄
    • Organizer
      Waseda International Symposium Topological Data Science, Causality, Analysis of Variance & Time Series
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] Forward variable selection for ultra-high dimensional quantile regression models2022

    • Author(s)
      本田敏雄
    • Organizer
      IASC-ARS 2022
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] 高次元Cox回帰モデルの統計的推測について2022

    • Author(s)
      本田敏雄
    • Organizer
      2022年度統計関連学会連合大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] Forward variable selection for ultra-high dimensional quantile regression models2021

    • Author(s)
      本田敏雄
    • Organizer
      科研費研究集会「データサイエンス・統計学における方法論と応用の新展開」
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] Forward variable selection for sparse ultra-high-dimensional generalized varying coefficient models2020

    • Author(s)
      本田敏雄
    • Organizer
      科研費研究集会『多様な分野のデータに対する統計科学・機械学習的アプロー チ』
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] 高次元データ解析と前進型変数選択法2020

    • Author(s)
      本田敏雄
    • Organizer
      統計数理研究所リスク解析戦略研究センターシンポジウム
    • Invited
    • Data Source
      KAKENHI-PROJECT-20K11705
  • [Presentation] Adaptively weighted group Lasso for semiparametric quantile regression models2018

    • Author(s)
      Toshio Honda, Ching-Kang Ing, Wei-Ying Wu
    • Organizer
      The 5th IMS-APRM
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] The de-biased group Lasso estimation for varying coefficient models2018

    • Author(s)
      Toshio Honda
    • Organizer
      CMStatistics 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Variable selection and structure identification for varying coefficient Cox models2017

    • Author(s)
      Toshio Honda, Ryota Yabe
    • Organizer
      EcoSta 2017
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Adaptively weighted group Lasso for semiparametric quantile regression models2017

    • Author(s)
      Toshio Honda, Ching-Kang Ing, Wei-Ying Wu
    • Organizer
      European Meeting of Statisticians 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Adaptively weighted group Lasso for semiparametric quantile regression models2017

    • Author(s)
      Toshio Honda, Ching-Kang Ing, Wei-Ying Wu
    • Organizer
      CMStatistics 2017
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2016

    • Author(s)
      Toshio Honda, Ming-Yen Cheng, Jialiang Li
    • Organizer
      The 4th IMS-APRM Meeting
    • Place of Presentation
      香港(中国)
    • Year and Date
      2016-06-27
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Variable selection and structure identification for varying coefficient Cox models2016

    • Author(s)
      Toshio Honda, Ryota Yabe
    • Organizer
      CMStatistics 2016
    • Place of Presentation
      Seville(Spain)
    • Year and Date
      2016-12-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Variable selection and structure identification for varying coefficient Cox models2016

    • Author(s)
      Toshio Honda, Ryota Yabe
    • Organizer
      研究集会「大規模統計モデリングと計算統計Ⅲ」
    • Place of Presentation
      東京大学大学院数理科学研究科(東京都目黒区)
    • Year and Date
      2016-09-27
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Variable selection and structure identification for varying coefficient Cox models2016

    • Author(s)
      Toshio Honda, Ryota Yabe
    • Organizer
      2016年度統計関連学会連合大会
    • Place of Presentation
      金沢大学(石川県金沢市)
    • Year and Date
      2016-09-07
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Variable selection and structure identification for varying coefficient Cox models2016

    • Author(s)
      Toshio Honda, Ryota Yabe
    • Organizer
      科研費研究集会「応用統計学のひろがり」
    • Place of Presentation
      統計数理研究所(東京都立川市)
    • Year and Date
      2016-10-29
    • Data Source
      KAKENHI-PROJECT-16K05268
  • [Presentation] Forward variable selection for sparse ultra-high dimensional varying coefficient models2015

    • Author(s)
      Ming-Yen Cheng, Toshio Honda, Jin-Ting Zhang
    • Organizer
      Waseda International Symposium "High Dimensional Statistical Analysis for Spatio-Temporal Processes & Quantile Analysis for Time Series"
    • Place of Presentation
      Waseda University (Tokyo, Shinjuku-ku)
    • Year and Date
      2015-11-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2015

    • Author(s)
      Ming-Yen Cheng, Toshio Honda and Jialiang Li
    • Organizer
      IASC-ARS 2015
    • Place of Presentation
      ケントリッジ(シンガポール)
    • Year and Date
      2015-12-18
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2015

    • Author(s)
      Ming-Yen Cheng, Toshio Honda, Jialiang Li
    • Organizer
      IASC-ARS 2015
    • Place of Presentation
      Singapore (Singapore)
    • Year and Date
      2015-12-18
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2015

    • Author(s)
      Toshio Honda, Ming-Yen Cheng, Jialiang Li
    • Organizer
      European Meeting of Statisticians
    • Place of Presentation
      Amsterdam (The Netherlands)
    • Year and Date
      2015-07-07
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2015

    • Author(s)
      Toshio Honda, Ming-Yen Cheng and Jialiang Li
    • Organizer
      European Meeting of Statisticians
    • Place of Presentation
      アムステルダム(オランダ)
    • Year and Date
      2015-07-07
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2015

    • Author(s)
      Toshio Honda
    • Organizer
      Waseda International Symposium "Asymptotic Sufficiency, Asymptotic Efficiency and Semimartingale"
    • Place of Presentation
      早稲田大学理工学部、東京
    • Year and Date
      2015-03-03
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Efficient estimation in semivarying coefficient models for longitudinal/clustered data2015

    • Author(s)
      Toshio Honda
    • Organizer
      Waseda International Symposium
    • Place of Presentation
      早稲田大学(東京都新宿区)
    • Year and Date
      2015-03-03
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Forward variable selection for sparse ultra-high dimensional varying coefficient Models2015

    • Author(s)
      Ming-Yen Cheng, Toshio Honda and Jialiang Li
    • Organizer
      Waseda International Symposium "High Dimensional Statistical Analysis for Spatio-Temporal Processes & Quantile Analysis for Time Series"
    • Place of Presentation
      早稲田大学(東京都新宿区)
    • Year and Date
      2015-11-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Nonparametric independence screening and structural identification for ultra-high dimensional longitudinal data2014

    • Author(s)
      Toshio Honda
    • Organizer
      Joint Statistical Meetings 2014
    • Place of Presentation
      Boston Convention and Exhibition Center, Boston, US
    • Year and Date
      2014-08-06
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Nonparametric independence screening and structural identification for ultra-high dimensional longitudinal dat2014

    • Author(s)
      Toshio Honda
    • Organizer
      Stable Process, Semimartingale, Finance & Pension Mathematics
    • Place of Presentation
      早稲田大学理工キャンパス, 東京
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Nonparametric independence screening and structural identification for ultra-high dimensional longitudinal data2014

    • Author(s)
      Toshio Honda
    • Organizer
      Waseda International Symposium on "Stable Process, Semimartingale, Finance & Pension Mathematics"
    • Place of Presentation
      Waseda University, Japan
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Nonparametric independence screening and structural identification for ultra-high dimensional longitudinal data2014

    • Author(s)
      Toshio Honda
    • Organizer
      Joint Statistical Meetings 2014(一般講演)
    • Place of Presentation
      Boston Convention and Exhibition Center(Boston, US)
    • Year and Date
      2014-08-06
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Variable selection in Cox regression models with varying coefficients2013

    • Author(s)
      Toshio Honda
    • Organizer
      The 59th World Statistics Congress
    • Place of Presentation
      Hong Kong Convention and Exhibition Centre, Hong Kong
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Variable selection in Cox regression models with varying coefficients2013

    • Author(s)
      Toshio Honda
    • Organizer
      The 59th World Statistics Congress
    • Place of Presentation
      Hong Kong Convention and Exhibition Centre, Hong Kong, China
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Nonparametric independence screening and structural identification for ultra-high dimensional longitudinal data2013

    • Author(s)
      Toshio Honda
    • Organizer
      ERCIM 2013
    • Place of Presentation
      Senate House, Univeristy of London, UK
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Nonparametric independence screening and structural identification for ultra-high dimensional longitudinal dat2013

    • Author(s)
      Toshio Honda
    • Organizer
      ERCIM 2013
    • Place of Presentation
      Senate House, Univeristy of London, UK
    • Data Source
      KAKENHI-PROJECT-25400197
  • [Presentation] Variable selection in Cox regression models with varying coefficients

    • Author(s)
      Toshio Honda
    • Organizer
      ISI-ISM-ISSAS Joint Conference 2013
    • Place of Presentation
      台北(台湾)
    • Data Source
      KAKENHI-PROJECT-24243031
  • [Presentation] Nonparametric quantile regression for time series

    • Author(s)
      Toshio Honda
    • Organizer
      NCTS/TPE Statistics Seminar
    • Place of Presentation
      国立台湾大学(台湾)
    • Data Source
      KAKENHI-PROJECT-24243031
  • 1.  ANAI Hirokazu (20417520)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 2.  OOSUGI Hidefumi (80350289)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 3.  KAMIYA Hidehiko (50300687)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 4.  SAI Shidou (30186910)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 5.  HIBI Takayuki (80181113)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 0 results
  • 6.  TAKEMURA Akimichi (10171670)
    # of Collaborated Projects: 1 results
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  • 7.  AOKI Satoshi (90332618)
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  • 8.  KURIKI Satoshi (90195545)
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  • 9.  SAKATA Toshio (20117352)
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  • 10.  SHIBUYA MASAAKI (20146723)
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  • 11.  NIKI Naoto (10000209)
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  • 12.  HOSHINO Nobuaki (00313627)
    # of Collaborated Projects: 1 results
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  • 13.  HORIMOTO Katsuhisa (40238803)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 14.  SHIBA Tsunemasa (90187386)
    # of Collaborated Projects: 1 results
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  • 15.  TANAKA Katsuto (40126595)
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  • 16.  ISHIMURA Naoyuki (80212934)
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  • 17.  KUROZUMI Eiji (00332643)
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  • 18.  YAMAMOTO Yohei (80633916)
    # of Collaborated Projects: 1 results
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  • 19.  ISHIHARA Tsunehiro (60609072)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 20.  YAMADA Masahiro (60732435)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 21.  YAMADA Toshiro (50754701)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 22.  SHIMOTSU Katsumi (50547510)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 23.  TAKAHASHI Hajime (70154838)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 24.  WATANABE Toshiaki (90254135)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 25.  KARIYA Takeaki (70092624)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 26.  FUJITA Takahiko (50144316)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 27.  YABE Ryota
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 6 results
  • 28.  Ing Ching-Kang
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 5 results
  • 29.  Wu Wei-Ying
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 4 results

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