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。

1. SSDP-DCA: Enhancing Data Collaboration Analysis with Privacy Amplification Techniques in Cloud Environments Sun, Tingkai; Ye, Xiucai; Imakura, Akira; Omote, KazumasaSakurai, Tetsuya
IEEE Transactions on Cloud Computing (2026)
2. A dual-language-model framework for reproducibility in small molecule-RNA binding site prediction Guan, Shixuan; Ye, Xiucai; Sakurai, Tetsuya
IEEE Journal of Biomedical and Health Informatics (2026)
3. Robust graph structure learning to improve multi-omics cancer subtype classification Guo, Mengke; Ye, Xiucai; Sakurai, Tetsuya
BMC Bioinformatics 27: (2026)
4. Estimation of conditional average treatment effects on distributed confidential data Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; IMAKURA, AkiraSakurai, Tetsuya
Expert Systems with Applications 296: 129066 (2026)
5. A hybrid quantum-enhanced sandwich convolutional neural network for medical image classification Long, Changzhou; Li, Shuaiyu; Huang, Meng; Ye, XiucaiSakurai, Tetsuya
Current Bioinformatics (2026)
6. Revealing intra-group immunotherapy response heterogeneity in metastatic urothelial carcinoma through interpretable feature extraction and spectral clustering Nagumo, Yoshiyuki; Ye, Xiucai; Shi, Tianyi; Mathis, Bryan J. (+1 著者) Nishiyama, Hiroyuki
FRONTIERS IN IMMUNOLOGY 16: (2026) Semantic Scholar
7. Estimating covariate-balanced survival curve in distributed data environment using data collaboration quasi-experiment TOYODA, Akihiro; KAWAMATA, Yuji; NAKAYAMA, Tomoru; IMAKURA, Akira (+1 著者) OKADA, Yukihiko
Sci Rep 16: (2026) Semantic Scholar
8. Noise-robustness analysis of hybrid quantum-classical CNNs for small-sample road image classification Long, Changzhou; Ye, Xiucai; Sakurai, Tetsuya
Proceedings of the International Conference on Robotics and Artificial Intelligence (ICRAI) 143 (2025)
9. GSToxi: gated cross-modal modeling with graph-sequence encoders for peptide toxicity prediction Wang, Li; Fu, Xiangzheng; Shi, Tianyi; Ye, Xiucai (+1 著者) Liu, Yiping
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 63 (2025) Semantic Scholar
10. Modularity Regularized Locality Preserving Projection Masuda, Ibuki; Futamura, Yasunori; Lin, Jianbo; Lu, Anh Khoa Augustin (+2 著者) Sakurai, Tetsuya
Neural Information Processing (ICONIP 2025) 528 (2025)
11. MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer Wang, Li; Fu, Xiangzheng; Yang, Jiahao; Zhang, Xinyi (+3 著者) Liu, Yiping
BRIEFINGS IN BIOINFORMATICS 26: (2025) Semantic Scholar
12. Hybrid quantum-classical-quantum convolutional neural networks Long, Changzhou; Huang, Meng; Ye, Xiucai; Futamura, YasunoriSakurai, Tetsuya
SCIENTIFIC REPORTS 15: (2025) Semantic Scholar
13. Multi-Omics clustering by integrating clinical features from large language model Ye, Xiucai; Shi, Tianyi; Huang, Dong; Sakurai, Tetsuya
Methods 239: 64 (2025) Semantic Scholar
14. CEGI: Causally Explainable Gene Identification Method for Unveiling Developmental Signatures in Human Prefrontal Cortex Huang, Meng; Ye, Xiucai; Sakurai, Tetsuya
CURRENT BIOINFORMATICS (2025) Semantic Scholar
15. Integration of pre-trained protein language models with equivariant graph neural networks for peptide toxicity prediction Jiao, Shihu; YE, Xiucai; Sakurai, Tetsuya; Zou, Quan (+1 著者) Zhan, Chao
BMC Biology 23: (2025)
16. A new type of federated clustering: A non-model-sharing approach KAWAMATA, Yuji; KAMIJO, Kaoru; KIHIRA, Masateru; TOYODA, Akihiro (+3 著者) OKADA, Yukihiko
arXiv (2025)
17. Deep Feature Learning for Multi-Omics Clustering Using Supervised Variational Autoencoders with Clinical Information Shi, Tianyi; Ye, Xiucai; Sakurai, Tetsuya
Proceedings of the International Joint Conference on Neural Networks (IJCNN) 1 (2025) Semantic Scholar
18. PKAN: Leveraging Kolmogorov-Arnold Networks and Multi-modal Learning for Peptide Prediction with Advanced Language Models. Wang, Li; Fu, Xiangzheng; YE, Xiucai; Sakurai, Tetsuya (+1 著者) Liu, Yiping
IEEE Journal of Biomedical and Health Informatics 29: 7000 (2025)
19. OmniClust: A versatile clustering toolkit for single-cell and spatial transcriptomics data Cui, Yaxuan; Cui, Yang; Ding, Yi; Nakai, Kenta (+3 著者) Sakurai, Tetsuya
Methods 238: 84 (2025)
20. Spatio-temporal epidemic forecasting using mobility data with LSTM networks and attention mechanism Jiao, Shihu; Wang, Yu; Ye, Xiucai; Nagahara, LarrySakurai., Tetsuya
Scientific Reports 15: (2025)

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1. Front Immunol Nagumo, Y.; Ye X, Shi; Tianyi, Shi; Mathis, BJ; Sakurai, T.; Nishiyama, H.
2026年1月
2. 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
3. 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)
4. 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)
5. 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
6. 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
7. 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
8. 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)
9. 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)
10. 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)
11. 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
12. 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)
13. 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)
14. 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)
15. 数値計算のわざ櫻井, 鉄也
共立出版 2006年1月
16. 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)
17. 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)
18. 数値計算のつぼ櫻井, 鉄也
共立出版 2004年1月
19. 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
20. 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

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41. デジタルイノベーションとAI技術櫻井,鉄也
つくばサイエンスアカデミー(SAT)テクノロジーショーケース 2019年1月29日招待有り
42. Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence 2019年1月28日
43. Development of an Eigen-analysis Engine for Large-scale Simulation and Data Analysis Sakurai,Tetsuya
SPPEXA Annual Plenary Meeting 2019 2019年1月22日
44. Simulation and Data Collaboration in the Digital Age Sakurai,Tetsuya
2018 Artificial Intelligence and Cloud Computing Conference 2018年12月21日招待有り
45. MOEA/D-RAD Resource Allocation by Diversity Lavinas, Yuri; Aranha, Claus de Castro; Ladeira, Marcelo; Sakurai, Tetsuya
進化計算シンポジウム2018 2018年12月8日
46. Time-efficient tensor reordering procedures for HOTRG in distributed parallel environment Yamada, Haruka; Imakura, Akira; Imamura, Toshiyuki; Sakurai, Tetsuya
Tensor Network States: Algorithms and Applications (TNSAA) 2018年12月3日
47. Large Scale Spectral Clustering Using Sparse Representation Based on Hubness Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Liu, Zhi
IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI) 2018年10月8日
48. Experimental Analysis of the Tournament Size on Genetic Algorithms Lavinas, Yuri; Aranha, Claus de Castro; Sakurai, Tetsuya; Ladeira, Marcelo
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2018年10月7日
49. Experimental Analysis of the Tournament Size on Genetic Algorithms Lavinas, Yuri; Aranha, Claus de Castro; Sakurai, Tetsuya; Ladeira, Marcelo
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2018年10月7日
50. 最新のAI技術と教育分野における応用の展望・可能性櫻井,鉄也
AI/ビッグデータ時代の教育を考察する 2018年9月21日招待有り
51. A complex moment-based method and its improvement for computing partial singular value decomposition Imakura, Akira; Sakurai, Tetsuya
The 37th JSST Annual International Conference on Simulation Technology (JSST2018) 2018年9月18日
52. スペクトラル特徴量スケーリングの多クラス分類問題への拡張松田, 萌望; 保國, 惠一; 今倉, 暁; 櫻井, 鉄也
日本応用数理学会2018年度年会, 名古屋 2018年9月3日
53. 複素モーメント型教師あり次元削減法今倉, 暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
日本応用数理学会 2018年度年会 2018年9月3日
54. An Eigen-analysis Engine for Large-scale Simulation and Data Analysis Simulation and Data Analysis Sakurai,Tetsuya
Workshop on Computational Methods for Eigenvalue Problems 2018年8月14日招待有り
55. Network organization of cortical neurons across waking and sleep in naturally behaving mice 大山薫; Ohyama, K; Morikuni, K; 保國; Matsumoto, S; 松本すみ; Matsuda, M; 松田; Makino, Y; 牧野裕一; McHugh, T. J; Sakurai, T; 櫻井; Yanagisawa, M; 柳沢; Greene, R. W; Vogt, K. E
第42回日本神経科学大会, 神戸 2018年7月26日
56. Spectral feature scaling method for supervised dimensionality reduction Matsuda, M; Morikuni, K; Sakurai, T
Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden 2018年7月13日
57. Symmetry-preserving of the Hankel-type Sakurai-Sugiura eigenvalue solver for large sparse Hermitian definite generalized eigenvalue problem Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya
10th International Workshop on Parallel Matrix Algorithms and Applications (PMAA18) 2018年6月27日
58. Matrix Computation-based Approach for Large-scale Simulation and Data Analysis Sakurai,Tetsuya
HPDA Forum 2018 Multidisciplinary High Performance Data Analysis for Societal Challenges 2018年6月18日招待有り
59. Ensemble Learning for Risk Factors Identification and Secondary Cancer Diagnosis by Considering Class Imbalance Ye, Xiucai; Sakurai, Tetsuya; Chang, Chi-Chang
International Conference on Medical and Health Informatics 2018年6月8日
60. Matrix Computation-based Approach for Large-scale Simulation and Data Analysis Sakurai,Tetsuya
2018 The Second International Conference on Medical and Health Informatics 2018年6月8日招待有り

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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. US20250147498A1: Information processing method, information processing system, and recording medium
TAMURA, Jun; MORIYA, Tsuyoshi; IMAKURA, Akira; SAKURAI, Tetsuya; FUTAMUR, Yasunori; YE, Xiucai
5. 特願2021-138004: 区分け画像推定装置、区分け画像推定方法、及びプログラム
福田, 直也; ARANHA; Claus de Castro; 今倉, 暁; 櫻井, 鉄也; アベ, ミツテル; 藤内, 直道
6. 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
7. 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
8. 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