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YAMAZAKI SHINYA  高前田 伸也

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Takamaeda Shinya  高前田 伸也

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Researcher Number 60738897
Other IDs
Affiliation (Current) 2025: 東京大学, 大学院情報理工学系研究科, 准教授
2025: 国立研究開発法人理化学研究所, 革新知能統合研究センター, チームディレクター
Affiliation (based on the past Project Information) *help 2019 – 2024: 東京大学, 大学院情報理工学系研究科, 准教授
2019: 北海道大学, 情報科学研究院, 准教授
2018: 東京大学, 情報理工学系研究科, 准教授
2016 – 2018: 北海道大学, 情報科学研究科, 准教授
Review Section/Research Field
Principal Investigator
Medium-sized Section 60:Information science, computer engineering, and related fields / Basic Section 60040:Computer system-related / Computer system
Except Principal Investigator
Broad Section J / Basic Section 60040:Computer system-related
Keywords
Principal Investigator
コンパイラ / Python / 高位合成 / FPGA / アナログ回路 / 確率熱力学 / 最適輸送 / メモリ内計算 / 単項計算 / 電子回路 … More / 熱力学 / 近似計算 / プロセッサアーキテクチャ / データ転送 / ストリーム計算 / 性能チューニング / リコンフィギャラブルシステム / ハードウェア設計技術 / 計算機システム / ディープニューラルネットワーク / 深層学習 … More
Except Principal Investigator
アニーリング計算機 / ニューロモルフィックHW / 深層ニューラルネットワーク(DNN) / 知能コンピューティング / リコンフィギュラブルシステム / リコンフィギュラブルハードウェア / アニーリング計算 / 確率的コンピューティング / アニーリングプロセッサ / リザーバ計算 / ニューロモルフィック / 離散最適化 / アーキテクチャ / リコンフィギュラブル / 深層ニューラルネット / アニーリング / AI / 局所適応型画像処理 / 演算最適化 / 高速画像処理 / 深層学習 / システム最適化 / 相互変換 / 局所・大局画像処理 / 深層畳み込みニューラルネットワーク / 深層畳み込みニューラルネットワー / FPGA実装 / 局所適応型輝度補正技術 / 有用画像処理 / 深層ニューラルネットワーク Less
  • Research Projects

    (5 results)
  • Research Products

    (101 results)
  • Co-Researchers

    (7 People)
  •  ゆらぎの熱力学に基づく確率的コンピューティング基盤の創出Principal Investigator

    • Principal Investigator
      高前田 伸也
    • Project Period (FY)
      2023 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (A)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      The University of Tokyo
  •  Multi-Paradigm High-Level Synthesis Framework with Productive Performance Optimization CapabilityPrincipal Investigator

    • Principal Investigator
      Takamaeda Shinya
    • Project Period (FY)
      2019 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60040:Computer system-related
    • Research Institution
      The University of Tokyo
  •  Mutual Conversion Method of Shared Computing Power in Deep Convolutional Neural Networks and Useful Image Processing

    • Principal Investigator
      Ikebe Masayuki
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 60040:Computer system-related
    • Research Institution
      Hokkaido University
  •  Innovative Self-Learnable Architecture Platform for Accelerating Intelligent Computing

    • Principal Investigator
      Motomura Masato
    • Project Period (FY)
      2018 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (S)
    • Review Section
      Broad Section J
    • Research Institution
      Tokyo Institute of Technology
  •  A Framework for FPGA-based Accelerators with Maximum Memory PerformancePrincipal Investigator

    • Principal Investigator
      Takamaeda Shinya
    • Project Period (FY)
      2016 – 2017
    • Research Category
      Grant-in-Aid for Young Scientists (B)
    • Research Field
      Computer system
    • Research Institution
      Hokkaido University

All 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation Book

  • [Book] 情報処理 Vol.63, No.3, 通巻684号2022

    • Author(s)
      本村,浅井,池辺,高前田,劉
    • Total Pages
      37
    • Publisher
      情報処理学会
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] OSA-HCIM: On-The-Fly Saliency-Aware Hybrid SRAM CIM with Dynamic Precision Configuration2024

    • Author(s)
      Chen Yung-Chin、Ando Shimpei、Fujiki Daichi、Takamaeda-Yamazaki Shinya、Yoshioka Kentaro
    • Journal Title

      Asia and South Pacific Design Automation Conference (ASP-DAC)

      Volume: 29 Pages: 539-544

    • DOI

      10.1109/asp-dac58780.2024.10473966

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22K21284, KAKENHI-PROJECT-23H00467
  • [Journal Article] Scalable Moment Propagation and Analysis of Variational Distributions for Practical Bayesian Deep Learning2024

    • Author(s)
      Yuki Hirayama, Shinya Takamaeda-Yamazaki
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: - Issue: 3 Pages: 1-11

    • DOI

      10.1109/tnnls.2024.3367363

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-22KJ0553, KAKENHI-PROJECT-23H00467
  • [Journal Article] HALO-CAT: A Hidden Network Processor with Activation-Localized CIM Architecture and Layer-Penetrative Tiling2023

    • Author(s)
      Y.C. Chen, S. Ando, D. Fujiki, S. Takamaeda-Yamazaki, K. Yoshioka
    • Journal Title

      arXiv:2312.06086

      Volume: NA Pages: 1-7

    • Data Source
      KAKENHI-PROJECT-23H00467
  • [Journal Article] Real-Time Tone Mapping: A Survey and Cross-Implementation Hardware Benchmark2022

    • Author(s)
      Y. Ou, P. Ambalathankandy, S. Takamaeda, M. Motomura, T. Asai and *M. Ikebe
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: 32 Pages: 2666-2686

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] 機械学習に適したハードウェア・ハードウェアに適した機械学習アルゴリズム2022

    • Author(s)
      高前田伸也
    • Journal Title

      情報処理学会誌3月号

      Volume: 63

    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] Multi-Input Adaptive Activation Function for Binary Neural Networks2022

    • Author(s)
      Peiqi Zhang and Shinya Takamaeda-Yamazaki
    • Journal Title

      10th International Workshop on Computer Systems and Architectures (CSA 2022)

      Volume: N/A Pages: 90-96

    • DOI

      10.1109/candarw57323.2022.00062

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] Accelerating Decision Tree Ensemble with Guided Branch Approximation2022

    • Author(s)
      Keisuke Kamahori and Shinya Takamaeda-Yamazaki
    • Journal Title

      International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies 2022 (HEART 2022)

      Volume: N/A Pages: 24-32

    • DOI

      10.1145/3535044.3535048

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] Accelerating Decision Tree Ensemble with Guided Branch Approximation2022

    • Author(s)
      Keisuke Kamahori, Shinya Takamaeda-Yamazaki
    • Journal Title

      2022 International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART 2022)

      Volume: -

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] FADEC: FPGA-based Acceleration of Video Depth Estimation by HW/SW Co-design2022

    • Author(s)
      Nobuho Hashimoto and Shinya Takamaeda-Yamazaki
    • Journal Title

      International Conference on Field Programmable Technology (FPT 2022)

      Volume: - Pages: 1-9

    • DOI

      10.1109/icfpt56656.2022.9974565

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] Real-time tone mapping: a survey and cross-implementation hardware benchmark2021

    • Author(s)
      Yafei Ou, Prasoon Ambalathankandy, Shinya Takamaeda-Yamazaki, Masato Motomura, Tetsuya Asai, Masayuki Ikebe
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: Early Access Issue: 5 Pages: 1-21

    • DOI

      10.1109/tcsvt.2021.3060143

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18H03302, KAKENHI-PROJECT-19J14105
  • [Journal Article] Real-time tone mapping: a survey and cross-implementation hardware benchmark2021

    • Author(s)
      Yafei Ou, Prasoon Ambalathankandy, Shinya Takamaeda-Yamazaki, Masato Motomura, Tetsuya Asai, Masayuki Ikebe
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: Early Access Pages: 1-21

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] STATICA: A 512-Spin 0.25M-Weight Annealing Processor with an All-Spin-Updates-at-Once Architecture for Combinatorial Optimization with Complete Spin-Spin Interactions,2021

    • Author(s)
      Kasho Yamamoto, Kazushi Kawamura, Kota Ando, Normann Mertig, Takashi Takemto, Masanao Yamaoka, Hiroshi Teramoto, Akira Sakai, Shinya Takamaeda-Yamazaki, and Masato Motomura
    • Journal Title

      IEEE Journal of Solid-State Circuits

      Volume: 56 Issue: 1 Pages: 165-178

    • DOI

      10.1109/jssc.2020.3027702

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Journal Article] ASBNN: Acceleration of Bayesian Convolutional Neural Networks by Algorithm-hardware Co-design2021

    • Author(s)
      Yoshiki Fujiwara, Shinya Takamaeda-Yamazaki
    • Journal Title

      2021 IEEE 32nd International Conference on Application-specific Systems, Architectures and Processors (ASAP 2021)

      Volume: - Pages: 226-233

    • DOI

      10.1109/asap52443.2021.00041

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] Selective Fine-Tuning on a Classifier Ensemble: Realizing Adaptive Neural Networks With a Diversified Multi-Exit Architecture2021

    • Author(s)
      Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Jaehoon Yu, Masato Motomura
    • Journal Title

      IEEE Access

      Volume: 9 Pages: 6179-6187

    • DOI

      10.1109/access.2020.3047799

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-19J20473
  • [Journal Article] An FPGA-Based Fully Pipelined Bilateral Grid for Real-Time Image Denoising2021

    • Author(s)
      Nobuho Hashimoto, Shinya Takamaeda-Yamazaki
    • Journal Title

      2021 31st International Conference on Field-Programmable Logic and Applications (FPL 2021)

      Volume: - Pages: 167-173

    • DOI

      10.1109/fpl53798.2021.00035

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] Selective Fine-Tuning on a Classifier Ensemble: Realizing Adaptive Neural Networks With a Diversified Multi-Exit Architecture2020

    • Author(s)
      Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Jaehoon Yu, Masato Motomura
    • Journal Title

      IEEE Access

      Volume: Vol.9 Pages: 6179-6187

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] 深層ニューラルネットワーク向けプロセッサ技術の実例と展望2020

    • Author(s)
      本村 真人, 高前田 伸也, 植吉 晃大, 安藤 洸太, 廣瀨 一俊
    • Journal Title

      電子情報通信学会論文誌C

      Volume: Vol.J103-C, No.5 Pages: 288-297

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] A Hardware-efficient Weight Sampling Circuit for Bayesian Neural Networks2020

    • Author(s)
      Yuki Hirayama, Tetsuya Asai, Masato Motomura, and Shinya Takamaeda-Yamazaki
    • Journal Title

      International Journal of Networking and Computing

      Volume: 10 Issue: 2 Pages: 84-93

    • DOI

      10.15803/ijnc.10.2_84

    • NAID

      130007878703

    • ISSN
      2185-2839, 2185-2847
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18H03302
  • [Journal Article] A Hardware-efficient Weight Sampling Circuit for Bayesian Neural Networks2020

    • Author(s)
      Yuki Hirayama, Tetsuya Asai, Masato Motomura, and Shinya Takamaeda-Yamazaki
    • Journal Title

      International Journal of Networking and Computing

      Volume: Vol.10, No.2

    • NAID

      130007878703

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Journal Article] An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA2020

    • Author(s)
      Prasoon Ambalathankandy, Masayuki Ikebe, Takashi Yoshida, Takeshi Shimada, Shinya Takamaeda-Yamazaki, Masato Motomura, and Tetsuya Asai
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: 30 Issue: 9 Pages: 3015-3028

    • DOI

      10.1109/tcsvt.2019.2931510

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-19J14105
  • [Journal Article] An Adaptive Global and Local Tone Mapping Algorithm Implemented on FPGA2020

    • Author(s)
      Prasoon Ambalathankandy, Masayuki Ikebe, Takashi Yoshida, Takeshi Shimada, Shinya Takamaeda- Yamazaki, Masato Motomura, and Tetsuya Asai
    • Journal Title

      IEEE Transactions on Circuits and Systems for Video Technology

      Volume: 30 Pages: 3015-3028

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] 深層ニューラルネットワーク向けプロセッサ技術の実例と展望2020

    • Author(s)
      本村 真人, 高前田 伸也, 植吉 晃大, 安藤 洸太, 廣瀨 一俊
    • Journal Title

      電子情報通信学会和文論文誌C, J103-C (05)

      Volume: J103-C Pages: 1-8

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] Dither NN: Hardware/Algorithm Co-Design for Accurate Quantized Neural Networks2019

    • Author(s)
      Ando K., Ueyoshi K., Oba Y., Hirose K., Uematsu R., Kudo T., Ikebe M., Asai T., Takamaeda-Yamazaki S., and Motomura M.,
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E102.D Issue: 12 Pages: 2341-2353

    • DOI

      10.1587/transinf.2019PAP0009

    • NAID

      130007754476

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2019-12-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18J20307, KAKENHI-PROJECT-18H03302
  • [Journal Article] A study on a low power optimization algorithm for an edge-AI device2019

    • Author(s)
      Kaneko T., Orimo K., Hida I., Takamaeda-Yamazaki S., Ikebe M., Motomura M., and Asai T.
    • Journal Title

      NOLTA

      Volume: 10 Issue: 4 Pages: 373-389

    • DOI

      10.1587/nolta.10.373

    • NAID

      130007722644

    • ISSN
      2185-4106
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18H03302
  • [Journal Article] Hardware-oriented algorithm and architecture for generative adversarial networks2019

    • Author(s)
      Kaneko T., Orimo K., Hida I., Takamaeda-Yamazai S., Ikebe M.., Motomura M., and *Asai T.
    • Journal Title

      Journal of Signal Processing

      Volume: 23, 4 Pages: 151-154

    • NAID

      130007681727

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] FPGA-Based Annealing Processor with Time-Division Multiplexing2019

    • Author(s)
      Yamamoto K., Ikebe M., Asai T., Motomura M., and Takamaeda-Yamazaki S.
    • Journal Title

      IEICE Trans. Inf. & Syst.

      Volume: E102.D Issue: 12 Pages: 2295-2305

    • DOI

      10.1587/transinf.2019PAP0002

    • NAID

      130007754464

    • ISSN
      0916-8532, 1745-1361
    • Year and Date
      2019-12-01
    • Language
      English
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18J15077, KAKENHI-PROJECT-18H03302
  • [Journal Article] QUEST: Multi-Purpose Log-Quantized DNN Inference Engine Stacked on 96-MB 3D SRAM Using Inductive Coupling Technology in 40-nm CMOS2019

    • Author(s)
      Kodai Ueyoshi, Kota Ando, Kazutoshi Hirose, Shinya Takamaeda-Yamazaki, Mototsugu Hamada, Tadahiro Kuroda, and Masato Motomura
    • Journal Title

      IEEE Journal of Solid-State Circuits

      Volume: 54, 1 Pages: 186-196

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] Radiography Contrast Enhancement: Smoothed LHE Filter a Practical Solution for Digital X-Rays with Mach Band2019

    • Author(s)
      Ambalathankandy, P., Ou, Y., Kochiyil, J., Takamaeda, S., Motomura, M., Asai, T., and Ikebe, M.
    • Journal Title

      2019 Digital Image Computing: Techniques and Applications (DICTA)

      Volume: 1 Pages: 1-8

    • DOI

      10.1109/dicta47822.2019.8946114

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Journal Article] Hardware-Oriented Algorithm and Architecture for Generative Adversarial Networks2019

    • Author(s)
      Kaneko T., Ikebe M., Takamaeda-Yamazaki S., Motomura M., and Asai T.,
    • Journal Title

      Journal of Signal Processing

      Volume: 23 Issue: 4 Pages: 151-154

    • DOI

      10.2299/jsp.23.151

    • NAID

      130007681727

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18H03302
  • [Journal Article] Dither NN: Hardware/Algorithm Co-Design for Accurate Quantized Neural Networks2019

    • Author(s)
      Kota Ando, Kodai Ueyoshi, Yuka Oba, Kazutoshi Hirose, Ryota Uematsu, Takumi Kudo, Masayuki Ikebe, Tetsuya Asai, Shinya Takamaeda-Yamazaki, Masato Motomura
    • Journal Title

      IEICE Transactions on Information and Systems

      Volume: E102 Pages: 1-8

    • NAID

      130007754476

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] Real-time HDTV to 4K and 8K-UHD conversions using anti-aliasing based super resolution algorithm on FPGA2018

    • Author(s)
      Ambalathankandy P., Takamaeda-Yamazaki S., Motomura M., Asai T., Ikebe M., and Kusano H
    • Journal Title

      Microprocessors and Microsystems

      Volume: 60 Pages: 21-31

    • DOI

      10.1016/j.micpro.2018.05.008

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Journal Article] A Tree-Based Checkpointing Architecture for the Dependability of FPGA Computing2018

    • Author(s)
      Hoang Gia Vu, Shinya Takamaeda-Yamazaki, Takashi Nakada, and Yasuhiko Nakashima
    • Journal Title

      IEICE TRANSACTIONS on Information and Systems

      Volume: Vol.E101-D Pages: 288-302

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Journal Article] Quantization error-based regularization for hardware-aware neural network training," Nonlinear Theory and Its Applications2018

    • Author(s)
      Hirose K., Uematsu R., Ando K., Ueyoshi K., Ikebe M.., Asai T., Motomura M., and *Takamaeda-Yamazai S.
    • Journal Title

      Nonlinear Theory and Its Applications

      Volume: E9-N, 4 Pages: 148-156

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Journal Article] BRein memory: a single-chip binary/ternary reconfigurable in-memory deep neural network accelerator achieving 1.4TOPS at 0.6W2018

    • Author(s)
      Ando K., Ueyoshi K., Orimo K., Yonekawa H., Sato S., Nakahara H., Takamaeda-Yamazaki S., Ikebe M., Asai T., Kuroda T., and Motomura M.
    • Journal Title

      IEEE J. Solid-State Circuits

      Volume: 53 Issue: 4 Pages: 983-994

    • DOI

      10.1109/jssc.2017.2778702

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PLANNED-25110015, KAKENHI-PROJECT-18H03213, KAKENHI-PROJECT-18H03302
  • [Journal Article] Japanese High-level Synthesis Tools for FPGA Hardware Acceleration2017

    • Author(s)
      渡邊 実, 佐野 健太郎, 高前田 伸也, 三好 健文, 中條 拓伯
    • Journal Title

      電子情報通信学会論文誌B 通信

      Volume: J100-B Issue: 1 Pages: 1-10

    • DOI

      10.14923/transcomj.2016JBI0002

    • ISSN
      1881-0209
    • Year and Date
      2017-01-01
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] 信頼されるAIシステムを支えるコンピューティング技術2024

    • Author(s)
      高前田 伸也
    • Organizer
      IEEE ComSoc Tokyo Joint Chapter講演会
    • Invited
    • Data Source
      KAKENHI-PROJECT-23H00467
  • [Presentation] Hardware/Algorithm Co-design for Gradient Boosting Decision Trees via Bit-Level Early-Termination for Low-Power Embedded Systems2024

    • Author(s)
      Daichi Tokuda and Shinya Takamaeda-Yamazaki
    • Organizer
      The 6th cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG 2024)
    • Data Source
      KAKENHI-PROJECT-23H00467
  • [Presentation] 一時的メモリアクセスリダイレクションによる高性能かつプログラマ・フレンドリーなセキュアNVM2023

    • Author(s)
      小池 亮, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.122, No.402, VLD2022-106
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] メモリ構造の秘匿によるIP保護2023

    • Author(s)
      田中 燦, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.122, No.403, HWS2022-67
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] オンチップの脅威に対処するためのセキュアなキャッシュシステム2023

    • Author(s)
      釜堀 恵輔, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.122, No.403, HWS2022-66
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 魔法戦士のすすめ~科学技術分野の文部科学大臣表彰・若手科学者賞受賞に際して~2023

    • Author(s)
      高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.123, No.62, CPSY2023-7
    • Invited
    • Data Source
      KAKENHI-PROJECT-23H00467
  • [Presentation] 高位合成における分離型データオーケストレーションの自動合成2023

    • Author(s)
      薄井 真之, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.122, No.402, VLD2022-90
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 複数のインデクスにより競合性ミスを低減した圧縮キャッシュ2023

    • Author(s)
      深見 匡, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.122, No.402, VLD2022-98
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 定数係数畳み込み演算を対象とした論理圧縮アルゴリズムの検討2023

    • Author(s)
      空閑 康太, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告, Vol.122, No.402, VLD2022-97
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 機械学習に適したハードウェア,ハードウェアに適した機械学習アルゴリズム2022

    • Author(s)
      高前田 伸也
    • Organizer
      情報処理学会第84回全国大会 イベント企画「知能と計算とアーキテクチャの新しい関係を目指して」
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] Multi-Input Adaptive Activation Function for Binary Neural Networks2022

    • Author(s)
      Peiqi Zhang and *Shinya Takamaeda-Yamazaki
    • Organizer
      10th International Workshop on Computer Systems and Architectures (CSA 2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] GBA: Guided Branch Approximation2022

    • Author(s)
      Keisuke Kamahori, Shinya Takamaeda-Yamazaki
    • Organizer
      The Fourth Young Architect Workshop (YArch 2022) (Co-located with ASPLOS 2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 分岐命令の選択的近似による決定木アンサンブルの高速化2022

    • Author(s)
      釜堀 恵輔, 高前田 伸也
    • Organizer
      情報処理学会研究報告2021-ARC-248
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 動画像を入力とした深度推定のHW/SW協調設計によるFPGAベースの高速化手法2022

    • Author(s)
      橋本 信歩, 高前田 伸也
    • Organizer
      情報処理学会研究会報告2022-ARC-250
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 機械学習に適したハードウェア,ハードウェアに適した機械学習アルゴリズム2022

    • Author(s)
      高前田伸也
    • Organizer
      情報処理学会第84回全国大会
    • Invited
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] 回帰木に基づく畳み込み演算の直接近似手法2022

    • Author(s)
      空閑 康太, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告CPSY2022-26
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] セキュアNVMの高性能化のためのツリー事前更新2022

    • Author(s)
      小池 亮, 高前田 伸也
    • Organizer
      情報処理学会研究会報告2022-ARC-250
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 不揮発性メインメモリにおける効率的な整合性検証手法の検討2022

    • Author(s)
      久保 龍哉, 小池 亮, 高前田 伸也
    • Organizer
      情報処理学会研究報告2021-ARC-248
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 多様性と環境変化に寄り添う分散機械学習基盤の実現に向けて2022

    • Author(s)
      高前田 伸也
    • Organizer
      電子情報通信学会情報論的学習理論と機械学習研究会 2022-03-IBISML
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 高帯域幅メモリ搭載FPGAを用いたランダムアクセス指向メモリアーキテクチャとプログラミングモデルの検討2022

    • Author(s)
      菅 研吾, 高前田 伸也
    • Organizer
      情報処理学会研究報告2021-ARC-248
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 機械学習ベースの動画像処理における近似計算手法の検討2022

    • Author(s)
      橋本 信歩, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告CPSY2021-59
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] FADEC: FPGA-based Acceleration of Video Depth Estimation by HW/SW Co-design2022

    • Author(s)
      Nobuho Hashimoto and *Shinya Takamaeda-Yamazaki
    • Organizer
      International Conference on Field Programmable Technology (FPT 2022)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] FPGAを用いたフルパイプラインによるバイラテラルフィルタの高速化手法2021

    • Author(s)
      橋本 信歩, 高前田 伸也
    • Organizer
      電子情報通信学会研究会報告RECONF2021-8
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] セキュアな不揮発性メモリのクラッシュ一貫性支援の高速化2021

    • Author(s)
      小池 亮, 高前田 伸也
    • Organizer
      情報処理学会研究報告2021-ARC-245
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] アーキテクチャとアルゴリズムの協調による高効率深層学習システムの創出2021

    • Author(s)
      高前田 伸也
    • Organizer
      第20回情報科学技術フォーラム (FIT 2021) イベント企画「Society5.0を支える革新的コンピューティング技術」
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] オープンソースコンパイラNNgenでつくるエッジ・ディープラーニングシステム2021

    • Author(s)
      高前田 伸也
    • Organizer
      第3回ACRiウェビナー:Softwareエンジニアにも使って欲しいFPGAの実力
    • Invited
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] カスタマイズ可能!AIアクセラレータジェネレータNNgenを大解剖!2021

    • Author(s)
      山野 龍佑, 高前田 伸也
    • Organizer
      Design Solution Forum 2020
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] アルゴリズム・ハードウェア協調設計によるベイジアン畳み込みニューラルネットワークの高速化2021

    • Author(s)
      藤原 良樹, 高前田 伸也
    • Organizer
      情報処理学会研究報告2021-ARC-245
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] 効率的なDNN計算のための無効ニューロン予測手法の評価2020

    • Author(s)
      池田 泰我, 植吉 晃大, 安藤 洸太, 廣瀨 一俊, 浅井 哲也, 本村 真人, 高前田 伸也
    • Organizer
      情報処理学会 システム・アーキテクチャ研究会
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] 無効ニューロン予測によるDNN計算効率化手法2020

    • Author(s)
      植吉 晃大, 池田 泰我, 安藤 洸太, 廣瀨 一俊, 浅井 哲也, 高前田 伸也, 本村 真人
    • Organizer
      電子情報通信学会 リコンフィギャラブルシステム研究会
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Hardware/Algorithm Co-optimization for Fully-Parallelized Compact Decision Tree Ensembles on FPGAs2020

    • Author(s)
      Taiga Ikeda, Kento Sakurada, Atsuyoshi Nakamura, Masato Motomura, and Shinya Takamaeda-Yamazaki
    • Organizer
      16th International Symposium on Applied Reconfigurable Computing (ARC 2020)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] Radiography Contrast Enhancement: Smoothed LHE Filter a Practical Solution for Digital X-Rays with Mach Band2019

    • Author(s)
      Ambalathankandy, P., Ou, Y., Kochiyil, J., Takamaeda, S., Motomura, M., Asai, T., and Ikebe, M.
    • Organizer
      2019 Digital Image Computing: Techniques and Applications (DICTA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Ternarized backpropagation: a hardware-oriented optimization algorithm for edge-oriented AI devices2019

    • Author(s)
      Kaneko T., Ikebe M.., Takamaeda-Yamazai S., Motomura M., and *Asai T.
    • Organizer
      7th RIEC International Symposium on Brain Functions and Brain Computer
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] FPGA-based FORCE learning accelerator towards real-time online reservoir computing,2019

    • Author(s)
      Minamikawa K., Takamaeda-Yamazaki S., Ikebe M., Motomura M., and Asai T.
    • Organizer
      The 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Approach to reservoir computing with Schmitt trigger oscillator-based analog neural circuits,2019

    • Author(s)
      Rim S., Suzuki S., Takamaeda-Yamazaki S., Ikebe M., Motomura M., and Asai T.
    • Organizer
      The 7th Japan-Korea Joint Workshop on Complex Communication Sciences,
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] ディープニューラルネットワークのモデル特化ハードウェア合成コンパイラ2019

    • Author(s)
      高前田 伸也, 藤澤 慎也, 藤崎 修一
    • Organizer
      第2回機械学習工学研究会 (MLSE夏合宿2019)
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] Ternarized backpropagation: a hardware-oriented optimization algorithm for edge-oriented AI devices2019

    • Author(s)
      Kaneko T., Ikebe M., Takamaeda-Yamazaki S., Motomura M., and Asai T.
    • Organizer
      The 7th RIEC International Symposium on Brain Functions and Brain Computer, Research Institute of Electrical Communication
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Hardware-oriented algorithm and architecture for generative adversarial networks2019

    • Author(s)
      Kaneko T., Ikebe M., Takamaeda-Yamazai S., Motomura M., and *Asai T.
    • Organizer
      2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] NNgen: A Model-Specific Hardware Synthesis Compiler for Deep Neural Network (Demonstration)2019

    • Author(s)
      Shinya Takamaeda-Yamazaki, Shinya Fujisawa, Shuichi Fujisaki
    • Organizer
      Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-19H04075
  • [Presentation] Experimental demonstration of physical reservoir computing with nonlinear electronic devices2019

    • Author(s)
      Suzuki S., Rim S., Takamaeda-Yamazaki S., Ikebe M., Motomura M., and Asai T.
    • Organizer
      The 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Experimental demonstration of physical reservoir computing with nonlinear electronic devices2019

    • Author(s)
      Suzuki S., Rim S., Takamaeda-Yamazai S., Ikebe M., Motomura M., and *Asai T.
    • Organizer
      2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Experimental demonstration of physical reservoir computing with nonlinear electronic devices2019

    • Author(s)
      uzuki S., Rim S., Takamaeda-Yamazai S., Ikebe M., Motomura M., and *Asai T.
    • Organizer
      2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Hardware-oriented algorithm and architecture for generative adversarial networks2019

    • Author(s)
      Kaneko T., Ikebe M., Takamaeda-Yamazaki S., Motomura M., and Asai T.
    • Organizer
      The 2019 RISP International Workshop on Nonlinear Circuits, Communications and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Dither NN: an accurate neural network with dithering for low bit-precision hardware2018

    • Author(s)
      Ando K., Ueyoshi K., Oba Y., Hirose K., Uematsu R., Kudo T., Ikebe M., Asai T., Takamaeda-Yamazai S., and *Motomura M.
    • Organizer
      2018 International Conference on Field-Programmable Technology (FPT'18)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Analysis of smoothed LHE methods for processing images with optical illusions2018

    • Author(s)
      Ambalathankandy P., Shimada T., Takamaeda-Yamazai S., Motomura M.., Asai T., and *Ikebe M.
    • Organizer
      IEEE International Conference on Visual Communications and Image Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Dither NN: an accurate neural network with dithering for low bit-precision hardware2018

    • Author(s)
      Ando K., Ueyoshi K., Oba Y., Hirose K., Uematsu R., Kudo T., Ikebe M., Asai T., Takamaeda-Yamazaki S., and Motomura M
    • Organizer
      The 2018 International Conference on Field-Programmable Technology (FPT'18)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Area and energy optimization for bit-serial log-quantized DNN Accelerator with shared accumulators2018

    • Author(s)
      Kudo T., Ueyoshi K., Ando K., Hirose K., Uematsu R., Oba Y., Ikebe M., Asai T., Motomura M., and *Takamaeda-Yamazai S.
    • Organizer
      IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] Analysis of smoothed LHE methods for processing images with optical illusions," IEEE International Conference on Visual Communications and Image Processing2018

    • Author(s)
      Ambalathankandy P., Shimada T., Takamaeda-Yamazaki S., Motomura M., Asai T., and Ikebe M.
    • Organizer
      IEEE International Conference on Visual Communications and Image Processing(VCIP2018)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Area and energy optimization for bit-serial log-quantized DNN Accelerator with shared accumulators2018

    • Author(s)
      Kudo T., Ueyoshi K., Ando K., Hirose K., Uematsu R., Oba Y., Ikebe M., Asai T., Motomura M., and Takamaeda-Yamazaki S.
    • Organizer
      IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H03213
  • [Presentation] Approach to reservoir computing with Schmitt trigger oscillator-based analog neural circuits2018

    • Author(s)
      Rim S., Suzuki S., Takamaeda-Yamazai S., Ikebe M., Motomura M., and *Asai T.
    • Organizer
      7th Japan-Korea Joint Workshop on Complex Communication Sciences
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18H05288
  • [Presentation] メモリアクセスパターンを考慮した遅延評価によるZDD構築の高速化2017

    • Author(s)
      熊澤 輝顕, 高前田 伸也, 池辺 将之, 浅井 哲也, 本村 真人
    • Organizer
      第 30回回路とシステムワークショップ, 於 北九州国際会議場
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] ゆるふわコンピュータ2017

    • Author(s)
      高前田 伸也
    • Organizer
      情報処理学会第79回全国大会IPSJ-ONE
    • Place of Presentation
      名古屋大学
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] CPRring: A Structure-aware Ring-based Checkpointing Architecture for FPGA Computing2017

    • Author(s)
      Hoang Gia Vu, Shinya Takamaeda-Yamazaki, Takashi Nakada, and Yasuhiko Nakashima
    • Organizer
      The 25th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM2017)
    • Place of Presentation
      Napa, CA, USA
    • Year and Date
      2017-04-30
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] A Structure-aware Ring-based Checkpointing Architecture for FPGA Computing2017

    • Author(s)
      Hoang Gia Vu, Shinya Takamaeda-Yamazaki, Takashi Nakada, and Yasuhiko Nakashima: CPRring
    • Organizer
      The 25th IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM2017)
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] Energy-Efficient In-Memory Neural Network Processor,2017

    • Author(s)
      Shinya Takamaeda-Yamazaki
    • Organizer
      17th International Forum on MPSoC for Software-defined Hardware (MPSoC 2017)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] Accelerating Deep Learning by Hardware/Algorithm Co-Design2017

    • Author(s)
      Shinya Takamaeda-Yamazaki
    • Organizer
      International Workshop on Advances in Networking and Computing (WANC 2017)
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] A Multi-Level Power-Capping Mechanism for FPGAs2017

    • Author(s)
      Keisuke Fujimoto, Takashi Nakada, Shinya Takamaeda-Yamazaki, and Yasuhiko Nakashima
    • Organizer
      The 1st. cross-disciplinary Workshop on Computing Systems, Infrastructures, and Programming (xSIG 2017)
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] アルゴリズムとハードウェアの協調設計による新時代コンピューティング2017

    • Author(s)
      高前田 伸也
    • Organizer
      電子情報通信学会集積回路研究会(IEICE-ICD)
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] アルゴリズムとハードウェアの協調設計によるディープラーニングアクセラレーション2017

    • Author(s)
      高前田 伸也
    • Organizer
      Design Solution Forum 2017
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] kebe, Tetsuya Asai, and Masato Motomura: A Time-Division Multiplexing Ising Machine on FPGAs2017

    • Author(s)
      Kasho Yamamoto, Huang Weiqiang, Shinya Takamaeda-Yamazaki, Masayuki Ikebe, Tetsuya Asai, and Masato Motomura
    • Organizer
      International Symposium on Highly-Efficient Accelerators and Reconfigurable Technologies (HEART 2017)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] Customizable Hardware Abstraction2016

    • Author(s)
      Shinya Takamaeda-Yamazaki
    • Organizer
      16th International Forum on MPSoC for Software-defined Hardware (MPSoC 2016)
    • Place of Presentation
      Nara Hotel, Nara, Nara, Japan
    • Year and Date
      2016-07-11
    • Invited / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] CPRtree: A Tree-based Checkpointing Architecture for Heterogeneous FPGA Computing2016

    • Author(s)
      Hoang Gia Vu, Supasit Kajkamhaeng, Shinya Takamaeda-Yamazaki, and Yasuhiko Nakashima
    • Organizer
      4th International Symposium on Computing and Networking (CANDAR 2016)
    • Place of Presentation
      Higashi-Hiroshima, Hiroshima, Japan
    • Year and Date
      2016-11-22
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] Stop the World: A Lightweight Runtime Power-Capping Mechanism for FPGAs2016

    • Author(s)
      Keisuke Fujimoto, Shinya Takamaeda-Yamazaki, and Yasuhiko Nakashima
    • Organizer
      4th International Symposium on Computing and Networking (CANDAR 2016)
    • Place of Presentation
      Higashi-Hiroshima, Hiroshima, Japan
    • Year and Date
      2016-11-22
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] ハードウェアはやわらかい2016

    • Author(s)
      高前田 伸也
    • Organizer
      第15回情報科学技術フォーラム (FIT 2016) 助教が吼える!各界の若手研究者大集合
    • Place of Presentation
      富山大学
    • Year and Date
      2016-09-07
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K16026
  • [Presentation] Pythonによるカスタム可能な高位設計技術2016

    • Author(s)
      高前田 伸也
    • Organizer
      Design Solution Forum 2016
    • Place of Presentation
      新横浜国際ホテル
    • Invited
    • Data Source
      KAKENHI-PROJECT-16K16026
  • 1.  Ikebe Masayuki (20374613)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 29 results
  • 2.  Motomura Masato (90574286)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 21 results
  • 3.  浅井 哲也 (00312380)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 19 results
  • 4.  伊藤 創祐 (00771221)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 5.  吉岡 健太郎 (20910566)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 6.  金澤 輝代士 (50759256)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 7.  藤木 大地
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results

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