Imakura Akira

Affiliation
Faculty of Engineering, Information and Systems
Official title
Associate Professor
Sex
Male
Birth date
1984-01
URL
Email
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Research fields
High performance computing
Computational science
Research keywords
Numerical Analysis
Eigenvalue problem
Linear system
Machine Learning
Research projects
複素モーメント技術をコアに据えた高信頼AI技術の開発2022-06 -- 2025-03今倉暁Japan Society of for the Promotion of Science/科学研究費補助金 挑戦的研究(萌芽)6,240,000Yen
アカウンティング・インフォマティクス（会計情報科学）の基盤研究2022-04 -- 2026-03岡田 幸彦日本学術振興会/科学研究費助成金 基盤研究（Ｂ）（一般）800,000Yen
無限次元固有値問題に対する複素モーメント型解法および数理的リスク回避技術の開発2021-04 -- 2026-03Akira ImakuraJapan Society of for the Promotion of Science/科学研究費助成金 基盤研究（Ｂ）（一般）17,030,000Yen
高いスケーリング性能と高精度性を併せ持つ次世代固有値・特異値分解ライブラリの開発2019-10 -- 2023-03Yusaku YamamotoJapan Society of for the Promotion of Science/Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))3,360,000Yen
データコラボレーション解析による生産性向上を目指した次世代人工知能技術の研究開発2018-08 -- 2023-03Tetsuya Sakurai（独）新エネルギー・産業技術総合開発機構（NEDO）/24,000,000Yen
非線形非負行列分解を用いたディープニューラルネットワーク計算手法の開発2018-04 -- 2020-03今倉暁JST/ACT-I（加速フェーズ）26,000,000Yen
非線形変数変換を用いた積分型固有値解法による固有値解析技術の開発2018-04 -- 2021-03Tetsuya SakuraiJapan Society of for the Promotion of Science/Grant-in-Aid for Scientific Research900,000Yen
複素モーメント型超並列固有値解析手法に対する数理的耐障害技術の開発2017-04 -- 2021-03Akira ImakuraJapan Society of for the Promotion of Science/Grant-in-Aid for Scientific Research4,030,000Yen
非線形非負行列分解を用いたディープニューラルネットワーク計算手法の開発2016-12 -- 2018-03Akira ImakuraJST/ACT-I3,900,000Yen
大規模連立一次方程式に対する反復法を用いた前処理技術の開発と科学技術計算への応用2013-04 -- 2016-03Akira ImakuraJSPS/Grant-in-Aid for Young Scientists (B)4,030,000Yen
more...
Career history
2019-01 -- (current)University of TsukubaFaculty of Engineering, Information and SystemsAssociate Professor
2013-04 -- 2018-12University of TsukubaFaculty of Engineering, Information and SystemsAssistant Professor
2011-04 -- 2013-03University of TsukubaCenter for Computational SciencesResearch Fellow
Academic background
2008-04 -- 2011-03Nagoya University Graduate School of Engineering Department of Computational Science and Engineering
2006-04 -- 2008-03Nagoya University Graduate School of Engineering Department of Computational Science and Engineering
2002-04 -- 2006-03Nagoya University School of Engineering Department of Physical Science and Engineering
Degree
2011-03Doctor of EngineeringNagoya University
Academic societies
2015-08 -- (current)SIAM
2013-06 -- (current)Information Processing Society of Japan
2008-06 -- (current)The Japan Society for Industrial and Applied Mathematics
Honors & Awards
2021-01PKAW2020 Best Student Paper Award
2018-11筑波大学 若手教員奨励賞
2017-09日本応用数理学会2017年度年会 最優秀ポスター賞
2017-06日本応用数理学会 2017年研究部会連合発表会 優秀講演賞
2016-09日本応用数理学会2016年度年会 最優秀ポスター賞
2013-12今後のHPC(基盤技術と応用)に関するワークショップ 優秀講演賞
2013-05日本応用数理学会 第9回 若手優秀講演賞（2012年度）
2011-09平成23年度日本応用数理学会論文賞（応用部門）
2010-09平成22年度日本応用数理学会論文賞（ノート部門）
2008-09第３回 計算科学フロンティアフォーラム 分野別最優秀賞（アルゴリズム・CAE・一般）
2008-04ALA2018 The first prize for the best presentation among young participants
Articles
  • Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space
    Yamamoto Ryuki; Hontani Hidekata; Imakura Akira; Yokota ...
    2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022-06
  • Flexible subspace iteration with moments for an effective contour integration-based eigensolver
    Huber Sarah; Futamura Yasunori; Galgon Martin; Imakura A...
    Numerical Linear Algebra with Applications, 2022-04
  • Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides
    Aihara Kensuke; Imakura Akira; Morikuni Keiichi
    SIAM Journal on Matrix Analysis and Applications, 2022-06
  • Divide-and-conquer based Large-Scale Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    Neurocomputing/501/pp.664-678, 2022-08
  • Complex moment-based methods for differential eigenvalue problems
    Imakura Akira; Morikuni Keiichi; Takayasu Akitoshi
    arXiv/arXiv:2205.00971 [math.NA]/pp.1-25, 2022-05
  • Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma
    Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    Journal of Biomedical Informatics/128, 2022-04
  • LSEC: Large-scale spectral ensemble clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    Intelligent Data Analysis/(accepted), 2021
  • Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
    Imakura Akira; Ye Xiucai; Sakurai Tetsuya
    Proceeding of Asian Conference on Machine Learning (ACML)/pp.932-947, 2021-11
  • Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems
    Imakura Akira; Morikuni Keiichi; Takayasu Akitoshi
    arXiv/arXiv:2110.01822 [math.NA]/pp.1-18, 2021-10
  • Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
    Bogdanova Anna; Nakai Akie; Okada Yukihiko; Imakura Akir...
    Proceedings of IJCAI 2020 International Workshop on Federated Learning for User Privacy and Data Confidentiality, 2021-01
  • Accuracy and Privacy Evaluations of Collaborative Data Analysis
    Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
    Proceedings of AAAI-21 Workshop on Privacy-Preserving Artificial Intelligence, 2021-02
  • 行列計算を用いた機械学習法
    今倉 暁
    オペレーションズ・リサーチ/65(6)/pp.310-316, 2020
  • Accuracy and Privacy Evaluations of Collaborative Data Analysis
    Imakura Akira
    In: Proceedings of The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21), 2021
  • An improvement of multigrid methods using multiple grids on each layer for parallel computing
    Imakura Akira
    Journal of Mathematical Research with Applications/41(1)/pp.87-98, 2021
  • Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations
    Bogdanova A.; Nakai A.; Okada Yukihiko; Imakura A.; Sakur...
    Proceedings of FL-IJCAI 2020/pp.1-7, 2021-01
  • Ensemble Learning for Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    Proceedings of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11
  • Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
    Yano Takahiro; Futamura Yasunori; Akira Imakura; Sakurai ...
    The International Conference on High Performance Computing in Asia-Pacific Region (PCAsia 2021)/pp.83-89, 2021-01
  • Accelerating the Backpropagation algorithm by Using the NMF-based method on Deep Neural Networks
    Baek Suhyeon; Imakura Akira; Sakurai Tetsuya; Kataoka Ic...
    Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.1-13, 2021-01
  • Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
    Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
    Knowledge Management and Acquisition for Intelligent Systems (PKAW2020)/pp.14-29, 2021-01
  • Interpretable collaborative data analysis on distributed data
    Imakura Akira; Inaba Hiroaki; Okada Yukihiko; Sakurai Te...
    Expert Systems with Applications/177/p.114891, 2021-09
  • 筑波大学における全学必修 のデータサイエンス教育
    和田耕一; 佐久間淳; 平田 祥人; 福地一斗; 青砥隆仁; 五十嵐康彦; 今倉暁; Vasilache Simona Mi...
    オペレーションズ・リサーチ/65(9)/pp.573-578, 2020-11
  • Spectral Clustering Joint Deep Embedding Learning by Autoencoder
    Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
    Proceeding of the International Joint Conference on Neural Networks (IJCNN 2021)/pp.1-7, 2021-07
  • Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides
    Aihara K.; Imakura A.; Morikuni K.
    arXiv/arXiv:2106.00284 [math.NA]/pp.1-20, 2021-06
  • Decentralized learning with virtual patients for medical diagnosis of diabetes.
    Yuta Takahashi; Han-ten Chang; Akie Nakai; Rina Kagawa; H...
    SN Computer Science/2(239), 2021-04
  • Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
    Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
    Proceedings of HPC Asia 2021: the International Conference on High Performance Computing in Asia-Pacific Region/pp.83-89, 2021-01
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Books
Conference, etc.
  • Application of Data Collaboration Analysis to Distributed Metabolomics Data with Misaligned Features
    Mizoguchi Akihiro; Imakura Akira; Sakurai Tetsuya
    2022 6th International Conference on Medical and Health Informatics (ICMHI 2022)/2022-05-13--2022-05-15
  • Fast algorithm for low-rank tensor completion in delay embedded space
    Yamamoto Ryuki; Yokota Tatsuya; Imakura Akira; Hontani H...
    13th Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA2021)/2021-12-14--2021-12-17
  • Complex moment-based method with nonlinear transformation for computing partial singular triplets
    Imakura Akira; Sakurai Tetsuya
    Numerical Methods for Large Scale Problems/2022-06-06--2022-06-10
  • Sequential Active Gene Selection in Renal Cell Carcinoma
    Huang Meng; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    6th International Conference on Medical and Health Informatics/2022-5-13--2022-5-15
  • Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
    Imakura Akira; Ye Xiucai; Sakurai Tetsuya
    13th Asian Conference on Machine Learning/2021-11-17--2021-11-19
  • Eigensolvers using complex moments for operators
    Imakura Akira; Morikuni Keiichi; Takayasu Akitoshi
    Numerical Methods and Scientific Computing (NMSC21)/2021-11-08--2021-11-12
  • Spectral Clustering Joint Deep Embedding Learning by Autoencoder
    Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
    International Joint Conference on Neural Networks (IJCNN 2021)/2021-07-18--2021-07-22
  • 無限次元固有値問題に対する複素モーメント型解法
    今倉 暁; 保國 惠一; 高安 亮紀
    2021年並列／分散／協調処理に関するサマー・ワークショップ (SWoPP2021), オンライン/2021-07-19--2021-07-21
  • Accuracy and Privacy Evaluations of Collaborative Data Analysis
    Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
    The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)/2021-02-08--2021-02-09
  • On the Residual Gap of Block Lanczos-Type Methods and Its Remedy by Cross-Interactive Residual Smoothing
    Aihara K.; Imakura A.; Morikuni K.
    SIAM Conference on Applied Linear Algebra (LA21)/2021-05-17--2021-05-23
  • Complex Moment-Based Methods for Differential Eigenvalue Problems
    Imakura A.; Morikuni K.; Takayasu A.
    SIAM Conference on Applied Linear Algebra (LA21)/2021-05-17--2021-05-23
  • Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
    Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
    The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021)/2021-01-20--2021-01-22
  • Verifying eigenvalues of generalized Hermitian eigenproblems using contour integrals
    Imakura A.; Morikuni K.; Takayasu A.
    Second Workshop on Numerical Algebra, Algorithms and Analysis, online/2021-03-16--2021-03-17
  • 複数右辺ベクトルを持つ線形方程式に対するblock generalized CGS法
    今倉 暁; 相原 研輔; 保國 惠一
    日本応用数理学会 第17回研究部会連合発表会, オンライン/2021-03-04--2021-03-05
  • Sylvester方程式に対するglobal Krylov部分空間法のresidual gap評価とその改善
    相原 研輔; 今倉 暁; 保國 惠一
    日本応用数理学会 第17回研究部会連合発表会, オンライン/2021-03-04--2021-03-05
  • Ensemble Learning for Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    IEEE International Conference on Data Mining (ICDM 2020)/2020-11-17--2020-11-20
  • 漸化式に着目したblock Krylov部分空間法のresidual gap評価と残差スムージング
    相原 研輔; 今倉 暁; 保國 惠一
    日本応用数理学会「行列・固有値問題の解法とその応用」研究部会 第30回研究会, オンライン/2020-12-07--2020-12-07
  • Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
    Yoda Hiroyuki; Akira Imakura; Momo Matsuda; Ye Xiucai; Sa...
    12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21
  • Hubness-Based Sampling Method For Nystrom Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    2020 International Joint Conference on Neural Networks (IJCNN 2020)/2020-07-19--2020-07-24
  • Distributed Feature Selection by Collaborative Data Analysis
    Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
    12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21
  • Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation
    Chiba Naoya; Li Mingyu; Imakura Akira; Hashimoto Koichi
    The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO2019)/2019-12-06--2019-12-08
  • Fast ADMM l1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition
    Chiba Naoya; Imakura Akira; Hashimoto Koichi
    The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO2019)/2019-12-06--2019-12-08
  • Empirical Study of Non-Model Shared Data Collaboration Analysis Using Pseudo-data
    Nakai Akie; Takahashi Yuta; Imakura Akira; Okada Yukihik...
    サービス学会 第8回国内大会/2020-03-12--2020-03-13
  • 組織内に分散された共有不能データのデータコラボレーション解析による活用実験
    稲葉 弘明; 今倉 暁; 栗山大輔; 鎮目 進一; 岡田幸彦; 櫻井 鉄也
    サービス学会 第8回国内大会/2020-03-12--2020-03-13
  • Efficient Implementations of the Modified Gram-Schmidt Orthogonalization in a Non-Standard Inner Product
    Yamamoto Yusaku; Imakura Akira
    The 13th workshop in the series of the "Parallel Numerics" (ParNum 2019)/2019-10-28
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Intellectural property rights
  • 端末、データ処理装置、端末制御プログラム、データ処理プログラム、端末制御方法及びデータ処理方法
    今倉暁; 櫻井鉄也; 岡田 幸彦; 藤井智也; 坂元哲平
  • 分散データ処理装置、端末、分散データ処理プログラム、端末制御プロ グラム、分散データ処理方法及び端末制御方法
    今倉暁; 櫻井 鉄也; 稲葉弘明; 岡田幸彦
  • 分散データ統合装置、分散データ統合方法及び分散データ統合プログラム
    今倉 暁; 櫻井 鉄也
  • 特徴量選択支援装置、特徴量選択支援プログラム及び特徴量選択支援方法
    今倉 暁; 叶 秀彩; 櫻井 鉄也
Teaching
2022-04 -- 2022-08Computer Science Seminar BUniversity of Tsukuba.
2022-10 -- 2023-02Computer Science Seminar BUniversity of Tsukuba.
2022-10 -- 2023-02Computer Science Seminar BfUniversity of Tsukuba.
2022-10 -- 2023-02Seminar in Computer Science fUniversity of Tsukuba.
2022-10 -- 2023-02Research in Computer Science fUniversity of Tsukuba.
2022-10 -- 2023-02Research in Computer Science IfUniversity of Tsukuba.
2022-04 -- 2022-08Research in Computer Science IUniversity of Tsukuba.
2022-10 -- 2023-02Research in Computer Science IUniversity of Tsukuba.
2022-04 -- 2022-08Seminar in Computer Science sUniversity of Tsukuba.
2022-10 -- 2023-02Computer Science Seminar AUniversity of Tsukuba.
more...
Professional activities
2020-04 -- (current)情報処理学会 ハイパフォーマンス・コンピューティング研究会運営委員
2016-04 -- (current)日本応用数理学会「行列・固有値問題の解法とその応用」研究部会 幹事
2013-04 -- (current)The Japan Society for Industrial and Applied Mathematics「産業における応用数理」研究部会 運営委員
2019-04 -- 2022-03The Japan Society for Industrial and Applied Mathematics (JSIAM)「行列・固有値問題の解法とその応用」研究部会 主査
2014-04 -- 2021-03The Japan Society for Industrial and Applied MathematicsJSIAM Letters 幹事編集委員
2012-08 -- 2019-03The Japan Society for Industrial and Applied Mathematics研究部会 若手の会 運営委員
2012-04 -- 2015-03The Japan Society for Industrial and Applied Mathematics学会誌「応用数理」編集委員

(Last updated: 2022-07-07)