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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. 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. 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. 3. Robust graph structure learning to improve multi-omics cancer subtype classification Guo, Mengke; Ye, Xiucai; Sakurai, Tetsuya
      BMC Bioinformatics 27: (2026)
  4. 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. 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. 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. 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. 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. 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. 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. 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. 12. Hybrid quantum-classical-quantum convolutional neural networks Long, Changzhou; Huang, Meng; Ye, Xiucai; Futamura, YasunoriSakurai, Tetsuya
      SCIENTIFIC REPORTS 15: (2025) Semantic Scholar
  13. 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. 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. 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. 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. 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. 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. 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. 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. 1. Front Immunol Nagumo, Y.; Ye X, Shi; Tianyi, Shi; Mathis, BJ; Sakurai, T.; Nishiyama, H.
    2026年1月
  2. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 15. 数値計算のわざ 櫻井, 鉄也
    共立出版 2006年1月
  16. 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. 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. 18. 数値計算のつぼ 櫻井, 鉄也
    共立出版 2004年1月
  19. 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. 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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  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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