ホーム > 櫻井鉄也/ Sakurai, Tetsuya

櫻井鉄也

Sakurai, Tetsuya

システム情報系 , 教授
Institute of Systems and Information Engineering , Professor

http://www.cs.tsukuba.ac.jp/~sakurai

オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。

101. International workshop on eigenvalue problems: algorithms; software and applications, in petascale computing (EPASA2018) Sakurai, Tetsuya; Imamura, Toshiyuki; Nakajima, Kengo
JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS 36: 561 (2019) Semantic Scholar
102. Using diversity as a priority function for resource allocation on MOEA/D Lavinas, Y. C; Aranha, Claus; Sakurai, Tetsuya
GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference Companion 215 (2019) Semantic Scholar
103. Scalable Eigen-analysis engine for large-scale eigenvalue problems, Sakurai, Tetsuya; Futamura, Yasunori; Imakura, Akira
Advanced Software Technologies for Post-Peta Scale Computing 37 (2019)
104. Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem Chen, H; Meng, J; Sakurai, Tetsuya; Wang, X
Numerical Linear Algebra with Applications 26: (2019)
105. Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei
International Journal of Medical Sciences 16: 949 (2019) Semantic Scholar
106. Simultaneous Band Reduction of Two Symmetric Matrices LeiDu; Imakura, Akira; Sakurai, Tetsuya
Computers and Mathematics with Applications 77: 2207 (2019)
107. Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects Alvermann, Andreas; Basermann, Achim; Bungartz; Hans-Joachim (+30 著者) Wellein, Gerhard
Japan Journal of Industrial and Applied Mathematics 36: 699 (2019) Semantic Scholar
108. Simultaneous band reduction of two symmetric matrices Du, Lei; Imakura, Akira; Sakurai, Tetsuya
COMPUTERS & MATHEMATICS WITH APPLICATIONS 77: 2207 (2019) Semantic Scholar
109. 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証関川悠太; 二村保徳; 今倉暁; 櫻井, 鉄也
日本応用数理学会論文誌 29: 141 (2019)
110. 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証関川悠太; 二村保徳; 今倉暁; 櫻井, 鉄也
日本応用数理学会論文誌 29: 141 (2019)
111. Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) 3910 (2019) Semantic Scholar
112. フェロー特集岡本, 久; 畔上, 秀幸; 菊池, 昇; 櫻井, 鉄也 (+1 著者) 山田, 道夫
Bulletin of the Japan Society for Industrial and Applied Mathematics 29: 2 (2019)
113. MOEA/D-RAD Resource Allocation by Diversity Lavinas, Yuri; Aranha, Claus de Castro; Ladeira, Marcelo; Sakurai, Tetsuya
Symposium of the Japanese Society of Evolutionary Computation 2018 (2018)
114. Large Scale Spectral Clustering Using Sparse Representation Based on Hubness Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Liu, Zhi
Proceeding of the IEEE International Conference on Cloud and Big Data Computing 1731 (2018) Semantic Scholar
115. An improvement of the nonlinear semi-NMF based method by considering bias vectors and regularization for deep neural networks Ryosuke Arai; Akira Imakura; Tetsuya Sakurai
International Journal of Machine Learning and Computing 8: 191 (2018) Semantic Scholar
116. Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks Akira Imakura; Yuto Inoue; Tetsuya Sakurai; Yasunori Futamura
Neural Processing Letters 47: 815 (2018) Semantic Scholar
117. Parallel implementation of the nonlinear semi-NMF based alternating optimization method for deep neural networks Sakurai,Tetsuya
Neural Processing Letters 45: (2018)
118. An improvement of the nonlinear semi-NMF based method by considering bias vectors and regularization for deep neural networks Ryosuke Arai; Akira Imakura; Tetsuya Sakurai
International Journal of Machine Learning and Computing 8: 191 (2018) Semantic Scholar
119. Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning Ye, Xiucai; Sakurai, Tetsuya
Journal of Universal Computer Science 24: 725 (2018)
120. Spectral Clustering with Adaptive Similarity Measure in Kernel Space Ye, Xiucai; Sakurai, Tetsuya
Intelligent Data Analysis 22: 751 (2018) Semantic Scholar

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1. 固有値計算と特異値計算櫻井,鉄也 (担当:分担執筆, 範囲:第5章櫻井-杉浦法)
丸善出版 2019年12月
2. 数値線形代数の数理とHPC 櫻井,鉄也 (担当:分担執筆, 範囲:固有値問題の数値解法)
共立出版 2018年8月 (ISBN: 9784320019553)
3. 2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN) Ye, Xiucai; Sakurai, Tetsuya (担当:分担執筆, 範囲:Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors)
IEEE 2015年 (ISBN: 9781479919598)
4. 数値の処理と数値解析櫻井,鉄也
放送大学教育振興会 2014年3月
5. 計算力学理論ハンドブック櫻井, 鉄也 (担当:分担執筆, 範囲:線形方程式の解法と固有値解析)
朝倉書店 2010年1月
6. 現代数理科学事典第2版櫻井, 鉄也 (担当:分担執筆, 範囲:非線形方程式の解法)
丸善 2010年1月
7. SNC'09: PROCEEDINGS OF THE 2009 INTERNATIONAL WORKSHOP ON SYMBOLIC-NUMERIC COMPUTATION Sakurai, Tetsuya; Asakura, Junko; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji (担当:分担執筆, 範囲:A Method for Finding Zeros of Polynomial Equations using a Contour Integral Based Eigensolver)
ASSOC COMPUTING MACHINERY 2009年1月 (ISBN: 9781605586649)
8. 2007 IEEE International Workshop on Databases for Next Generation Researchers Kishimoto, Sadaya; Murakata, Mamoru; Nakanishi, Takafumi; Sakurai, Tetsuya; Kitagawa, Takashi (担当:分担執筆, 範囲:Problem-solving support system for mathematical sciences)
IEEE 2007年1月 (ISBN: 9781424409037)
9. Applied Parallel Computing - STATE OF THE ART IN SCIENTIFIC COMPUTING Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei (担当:分担執筆, 範囲:A master-worker type eigensolver for molecular orbital computations)
SPRINGER-VERLAG BERLIN 2007年1月 (ISBN: 9783540757542)
10. Proceedings of the IASTED International Conference on Databases and Applications Kishimoto, Sadaya; Nakanishi, Takafumi; Murakata, Mamoru; Otsuka, Toru; Sakurai, Tetsuya; Kitagawa, Takashi (担当:分担執筆, 範囲:An implementation method of an integrated associative search for mathematical expressions)
ACTA PRESS ANAHEIM 2006年1月
11. ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS Aida, Y; Nakajima, Y; Sato, M; Sakurai, T; Takahashi, D; Boku, T (担当:分担執筆, 範囲:Performance improvement by data management layer in a grid RPC system)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540338098)
12. APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING Sakurai, T; Hayakawa, K; Sato, M; Takahashi, D (担当:分担執筆, 範囲:A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540290672)
13. LARGE-SCALE SCIENTIFIC COMPUTING Sakurai, T; Kodaki, Y; Umeda, H; Inadomi, Y; Watanabe, T; Nagashima, U (担当:分担執筆, 範囲:A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540319948)
14. 数値計算のわざ櫻井, 鉄也
共立出版 2006年1月
15. ICNAAM 2004: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2004 Tadano, H; Sakurai, T (担当:分担執筆, 範囲:A method for avoiding breakdown in product-type iterative methods and its behavior for Toeplitz linear systems)
WILEY-V C H VERLAG GMBH 2004年1月 (ISBN: 3527405631)
16. ICNAAM 2004: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2004 Sakurai, T; Tadano, H; Inadomi, Y; Nagashima, U (担当:分担執筆, 範囲:A moment-based method for large scale eigenvalue problems)
WILEY-V C H VERLAG GMBH 2004年1月 (ISBN: 3527405631)
17. 数値計算のつぼ櫻井, 鉄也
共立出版 2004年1月
18. MATLAB/Scilabで理解する数値計算櫻井鉄也
東京大学出版会東京大学出版会 2003年1月
19. 大規模一般化固有値問題の並列解法櫻井鉄也 (担当:監修)
応用数理応用数理 2003年1月
20. 数値計算法櫻井, 鉄也
オーム社オーム社 1998年1月

1. Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering Zhang, Weihang; Ye, Xiucai; Sakurai, Tetsuya
International Joint Conference on Neural Networks (IJCNN 2022) 2022年7月18日
2. Complex moment-based method with nonlinear transformation for computing partial singular triplets Imakura, Akira; Sakurai, Tetsuya
Numerical Methods for Large Scale Problems 2022年6月6日
3. 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年5月13日
4. Advantages of Learning to Rank in Compound-protein Associations Prediction Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan
6th International Conference on Medical and Health Informatics 2022年5月13日
5. Multi-view Network Embedding for Drug-target Interactions Prediction Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya
6th International Conference on Medical and Health Informatics 2022年5月13日
6. Peptide Toxicity Prediction Based on Transfer Learning Wei, lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi
6th International Conference on Medical and Health Informatics 2022年5月13日
7. 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年5月13日
8. Multi-View Federated Learning with Data Collaboration Yang, Yitao; Ye, Xiucai; Sakurai, Tetsuya
14th International Conference on Machine Learning and Computing (ICMLC) 2022年2月18日
9. 測地線距離に基づくスペクトラルグラフ分割による並列Nested Dissection 若木良太; 二村, 保徳; 櫻井鉄也
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32回研究会 2021年12月10日
10. Collaborative Novelty Detection for Distributed Data by a Probabilistic Method Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
13th Asian Conference on Machine Learning 2021年11月17日
11. 機械学習を用いた子宮頸がん放射線治療後の予後予測後藤, 雅明; 二村, 保徳; 斎藤, 高; 石田, 俊樹; 玉木, 義雄; 櫻井, 鉄也; 櫻井, 英幸
日本放射線腫瘍学会第34回学術大会 2021年11月12日
12. Spectral Graph Partitioning Using Geodesic Distance-based Projection Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya
2021 IEEE High Performance Extreme Computing Conference (HPEC) 2021年9月20日
13. 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年7月18日
14. Parallel Contour Integral-Based Eigenvalue Computation using a Block Krylov Linear Solver with Shift-Invert Preconditioning Futamura, Yasunori; Sakurai, Tetsuya
SIAM Conference on Computational Science and Engineering 2021年3月1日 SIAM
15. Accuracy and Privacy Evaluations of Collaborative Data Analysis Imakura, Akira; Bogdanova, Anna; Yamazoe, Takaya; Omote, Kazumasa; Sakurai, Tetsuya
The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) 2021年2月8日
16. Efficient Contour Integral-based Eigenvalue Computation using an Iterative Linear Solver with Shift-Invert Preconditioning Futamura, Yasunori; Sakurai, Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
17. Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
18. Ensemble Learning for Spectral Clustering Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
IEEE International Conference on Data Mining (ICDM 2020) 2020年11月17日
19. 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年7月19日
20. A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design Jair; Pereira Junior; ARANHA, CLAUS DE CASTRO; Tetsuya, Sakurai
World Congress on Computational Intelligence 2020年7月19日

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1. 特願2018-243376: 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
2. 2022-010035: 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
3. 特願2020-563129: 分散データ統合装置、分散データ統合解析装置、分散データ統合方法、及びプログラム
今倉, 暁; sakurai, tetsuya
4. 特願2017-113630: 画像処理システム、評価モデル構築方法、画像処理方法及びプログラム
櫻井, 鉄也; 木村宇任
5. 特願2017-113759: 画像処理システム、評価モデル構築方法、画像処理方法及びプログラム
櫻井, 鉄也; 木村宇任
6. 特願2017-005786: 画像処理システム、画像処理方法及び画像処理プログラム
永田, 毅; 渋木, 尚; 前川, 秀正; 佐野, 碧; 檜作, 彰良; 浅井, 剛; 吉田, 貢; 六角, 広介; 櫻井, 鉄也; 祖平, 明夫