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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. 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 (2025)
  2. 2. 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
  3. 3. 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
  4. 4. 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
  5. 5. 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
  6. 6. 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
  7. 7. Collaborative causal inference on distributed data Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
      EXPERT SYSTEMS WITH APPLICATIONS 244: (2024) Semantic Scholar
  8. 8. 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
  9. 9. Toward the Application of Differential Privacy to Data Collaboration Yamashiro, Hiromi; Omote, Kazumasa; Imakura, Akira; Sakurai, Tetsuya
      IEEE ACCESS 12: 63292 (2024) Semantic Scholar
  10. 10. 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
  11. 11. 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)
  12. 12. Multi-party collaborative drug discovery via federated learning Dong Huang; Ye, Xiucai; Sakurai, Tetsuya
      Computers in Biology and Medicine 171: 108181 (2024)
  13. 13. 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
  14. 14. Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach Kawamata, Yuji; Motai, Ryoki; Okada, Yukihiko; Imakura, AkiraSakurai, Tetsuya
      arXiv (2024)
  15. 15. 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
  16. 16. 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)
  17. 17. 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)
  18. 18. Collaborative analysis for drug discovery by federated learning on non-IID data Huang, Dong; Ye, Xiucai; Zhang, Ying; Sakurai., Tetsuya
      METHODS 219: 1 (2023)
  19. 19. 機械学習を用いた子宮頸がん病理組織像の放射線治療変化判定モデルの開発 後藤 雅明; 二村 保徳; 牧島 弘和; 坂本 規彰 (+4 著者) 櫻井, 英幸
      日本放射線腫瘍学会第36回学術大会 191 (2023)
  20. 20. Another use of SMOTE for interpretable data collaboration analysis Imakura, Akira; Kihira, Masateru; Okada, Yukihiko; Sakurai, Tetsuya
      EXPERT SYSTEMS WITH APPLICATIONS 228: (2023)
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  1. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 14. 数値計算のわざ 櫻井, 鉄也
    共立出版 2006年1月
  15. 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. 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. 17. 数値計算のつぼ 櫻井, 鉄也
    共立出版 2004年1月
  18. 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. 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. 20. 数値計算法 櫻井, 鉄也
    オーム社 オーム社 1998年1月
  1. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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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