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. Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology Goto, Masaaki; Futamura, Yasunori; Makishima, Hirokazu; Saito, Takashi (+5 著者) Sakurai, Hideyuki
Journal of radiation research 66: 144 (2025)
2. Data collaboration for causal inference from limited medical testing and medication data NAKAYAMA, Tomoru; KAWAMATA, Yuji; TOYODA, Akihiro; IMAKURA, Akira (+5 著者) OKADA, Yukihiko
Scientific Reports 15: (2025)
3. Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach MASHIKO, Sota; KAWAMATA, Yuji; NAKAYAMA, Tomoru; SAKURAI, TetsuyaOKADA, Yukihiko
arXiv (2025)
4. Cancer subtype identification by multi-omics clustering based on interpretable feature and latent subspace learning Shi, Tianyi; Ye, Xiucai; Huang, Dong; Sakurai, Tetsuya
METHODS 231: 144 (2024) Semantic Scholar
5. Identification of Spatial Domains, Spatially Variable Genes, and Genetic Association Studies of Alzheimer Disease with an Autoencoder-based Fuzzy Clustering Algorithm Cui, Yaxuan; Wei, Leyi; Wang, Ruheng; Ye, XiucaiSakurai, Tetsuya
CURRENT BIOINFORMATICS 19: 765 (2024) Semantic Scholar
6. An interpretable deep learning model predicts RNA-small molecule binding sites Xi, Wenyu; Wang, Ruheng; Wang, Li; Ye, Xiucai (+1 著者) Sakurai, Tetsuya
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE 159: 557 (2024) Semantic Scholar
7. DiffSeqMol: A Non-Autoregressive Diffusion-Based Approach for Molecular Sequence Generation and Optimization Wang, Zixu; Chen, Yangyang; Guo, Xiulan; Li, Yayang (+3 著者) Sakurai, Tetsuya
CURRENT BIOINFORMATICS Epub: (2024) Semantic Scholar
8. Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems NGUYEN; Dai Hai; Sakurai, Tetsuya
Machine Learning 113: 6697 (2024) Semantic Scholar
9. Collaborative causal inference on distributed data Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
EXPERT SYSTEMS WITH APPLICATIONS 244: (2024) Semantic Scholar
10. Integrated convolution and self-attention for improving peptide toxicity prediction Jiao, Shihu; Ye, Xiucai; Sakurai, Tetsuya; Zou, QuanLiu, Ruijun
BIOINFORMATICS 40: btae297 (2024) Semantic Scholar
11. Toward the Application of Differential Privacy to Data Collaboration Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya
IEEE ACCESS 12: 63292 (2024) Semantic Scholar
12. A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens Zhang, Zhaoyue; Zhang, Zheng; Ye, Xiucai; Sakurai, TetsuyaLin, Hao
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES 265: 130659 (2024) Semantic Scholar
13. CodLncScape Provides a Self-Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs Liu, Tianyuan; Qiao, Huiyuan; Wang, Zixu; Yang, Xinyan (+5 著者) Zhang, Yang
Advanced Science 11: (2024)
14. Multi-party collaborative drug discovery via federated learning Dong Huang; Ye, Xiucai; Sakurai, Tetsuya
Computers in Biology and Medicine 171: 108181 (2024)
15. Extraction of local structure differences in silica based on unsupervised learning Anh, Khoa Augustin Lu; Jianbo, Lin; Yasunori, Futamura; Tetsuya, Sakurai (+1 著者) Tsuyoshi, Miyazaki
Physical Chemistry Chemical Physics 26: 11657 (2024) Semantic Scholar
16. Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
arXiv (2024)
17. FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery He, Shida; Ye, Xiucai; Dou, Lijun; Sakurai, Tetsuya
COMPUTERS IN BIOLOGY AND MEDICINE 168: 107762 (2024) Semantic Scholar
18. CLOP-hERG: The contrastive learning optimized pre-trained model for representation learning in predicting drug-induced hERG channel blockers He, Shida; Ye, Xiucai; Sakurai, Tetsuya
Medinformatics (2024)
19. Multi-omics clustering based on interpretable and discriminative features for cancer subtyping Shi, Tianyi; Ye, Xiucai; Sakurai, Tetsuya
Proceedings of IEEE International Conference on Bioinformatics and Biomedicine (BIBM) 630 (2023)
20. Collaborative analysis for drug discovery by federated learning on non-IID data Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai., Tetsuya
METHODS 219: 1 (2023)

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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

21. Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis Yoda, Hiroyuki; Akira, Imakura; Momo, Matsuda; Ye, Xiucai; Sakurai, Tetsuya
12th International Conference on Machine Learning and Computing 2020年6月19日
22. Distributed Feature Selection by Collaborative Data Analysis Ye, Xiucai; Li, Hongmin; Imakura, Akira; Sakurai, Tetsuya
12th International Conference on Machine Learning and Computing 2020年6月19日招待有り
23. 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年3月12日
24. Empirical Study of Non-Model Shared Data Collaboration Analysis Using Pseudo-data Nakai, Akie; Takahashi, Yuta; Imakura, Akira; Okada, Yukihiko; Sakurai, Tetsuya
サービス学会第8回国内大会 2020年3月12日
25. Development of an Eigen-Analysis Engine for Large-Scale Simulation and Big Data Analysis Sakurai,Tetsuya
SIAM Conference on Parallel Processing for Scientific Computing (PP20) 2020年2月11日招待有り
26. A complex moment-based dimensionality reduction for data analysis Imakura, Akira; Matsuda, Momo; Ye, Xiucai; Sakurai, Tetsuya
2019 Mini-Workshop on Computational Science (MWCS2019) 2019年8月18日招待有り
27. Distributed Collaborative Feature Selection Based on Intermediate Representation Ye, Xiucai; Li, Hongmin; Akira, Imakura; Sakurai, Tetsuya
28th International Joint Conference on Artificial Intelligence (IJCAI-19) 2019年8月10日
28. A complex moment-based spectral method for detecting anomalous structures in large graphs Sakurai, Tetsuya; Funamura, Yasunori; Ye, Xiucai; Imakura, Akira
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
29. Nonlinear semi-NMF based method for deep neural network computations and its improvements Imakura, Akira; Sakurai, Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
30. A novel dimensionality reduction method using a complex momnet-based subspace Imakura, Akira; Sakurai, Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019) 2019年7月15日
31. Data Collaboration for Distributed Data Analytic Infrastructure Sakurai,Tetsuya
The 6th Japan-U.S. Digital Innovation Hub Workshop: Alliance for the Future of Digital Science 2019年6月11日招待有り
32. 最小二乗確率的分類器を用いた多峰性のあるデータに対する特異点検出与田裕之; 今倉暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
第48回数値解析シンポジウム（NAS2019） 2019年6月10日
33. Data Collaboration for Robust Anomaly Detection in Cybersecurity Sakurai,Tetsuya
International Symposium on "Digital Science Now" 2019年6月7日招待有り
34. Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer Ye, Xiucai; Li, Hongmin; Sakurai, Tetsuya; Shueng, Pei-Wei
International Conference on Medical and Health Informatics (ICMHI2019) 2019年5月17日
35. Spectral Clustering with Adaptive Similarity Measure in Kernel Space Ye, Xiucai; Sakurai, Tetsuya
International Conference on Soft Computing and Machine Learning (SCML2019) 2019年4月26日招待有り
36. Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver Futamura, Yasunori; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience 2019年3月20日
37. 複素モーメント型部分空間を用いた教師あり次元削減法の提案今倉, 暁; 松田萌望; 叶, 秀彩; 櫻井鉄也
日本応用数理学会第15回研究部会連合発表会 2019年3月4日
38. A contour intergral-based stochastic estimator for eigenvalue counts of generalized eigenproblems Futamura, Yasunori; Yano, Takahiro; Imakura, Akira; Sakurai, Tetsuya
SIAM Conference on Computational Science and Engineering (CSE19) 2019年2月25日
39. Unsupervised Feature Selection by Data Structure Learning Ye, Xiucai; Sakurai, Tetsuya
11th International Conference on Machine Learning and Computing 2019年2月22日招待有り
40. 計算科学における、AI、データ活用との連携のあり方櫻井,鉄也
公開シンポジウム「AI時代のもの・コトづくりに向けた新たな計算科学活用における課題と期待」 2019年2月14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. 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