An iterative method for algebraic equation by Padé approximation. - Tetsuya Sakurai; Tatsuo Torii; Hiroshi Sugiura (Computing, 1991)

Numerical factorization of a polynomial by rational Hermite interpolation. - Tetsuya Sakurai; Hiroshi Sugiura; Tatsuo Torii (Numer. Algorithms, 1992)

A Methodology of Parsing Mathematical Notation for Mathematical Computation. - Yanjie Zhao; Tetsuya Sakurai; Hiroshi Sugiura; Tatsuo Torii (ISSAC, 1996)

On Factorization of Analytic Functions and Its Verification. - Tetsuya Sakurai; Hiroshi Sugiura (Reliab. Comput., 2000)

Error Analysis of a Derivative-Free Algorithm for Computing Zeros of Holomorphic Functions. - Peter Kravanja; Tetsuya Sakurai; Marc Van Barel (Computing, 2003)

A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment. - Tetsuya Sakurai; Kentaro Hayakawa; Mitsuhisa Sato; Daisuke Takahashi (PARA, 2004)

A Hybrid Parallel Method for Large Sparse Eigenvalue Problems on a Grid Computing Environment Using Ninf-G/MPI. - Tetsuya Sakurai; Yoshihisa Kodaki; Hiroaki Umeda; Yuichi Inadomi; Toshio Watanabe; Umpei Nagashima (LSSC, 2005)

RARGE: a large-scale database of RIKEN Arabidopsis resources ranging from transcriptome to phenome. - Tetsuya Sakurai; Masakazu Satou; Kenji Akiyama; Kei Iida; Motoaki Seki; Takashi Kuromori; Takuya Ito; Akihiko Konagaya; Tetsuro Toyoda; Kazuo Shinozaki (Nucleic Acids Res., 2005)

An Implementation Method of an Integrated Associative Search for Mathematical Expressions. - Sadaya Kishimoto; Takafumi Nakanishi; Mamoru Murakata; Toru Otsuka; Tetsuya Sakurai; Takashi Kitagawa (Databases and Applications, 2006)

Performance Improvement by Data Management Layer in a Grid RPC System. - Yoshiaki Aida; Yoshihiro Nakajima; Mitsuhisa Sato; Tetsuya Sakurai; Daisuke Takahashi; Taisuke Boku (GPC, 2006)

A Master-Worker Type Eigensolver for Molecular Orbital Computations. - Tetsuya Sakurai; Yoshihisa Kodaki; Hiroto Tadano; Hiroaki Umeda; Yuichi Inadomi; Toshio Watanabe; Umpei Nagashima (PARA, 2006)

On Single Precision Preconditioners for Krylov Subspace Iterative Methods. - Hiroto Tadano; Tetsuya Sakurai (LSSC, 2007)

Construction of a metadata space for a specific field of knowledge from an index of a document. - Takafumi Nakanishi; Sadaya Kishimoto; Tetsuya Sakurai; Takashi Kitagawa (Syst. Comput. Jpn., 2007)

A Secure Data Repository Integrating Huge Volumes of Digital Contents as a Semantic Web. - Norio Kobayashi; Yuko Makita; Eli Kaminuma; Shuji Kawaguchi; Yuko Yoshida; Yoshiki Mochizuki; Akihiro Matsushima; Manabu Ishii; Ryo Umetsu; Satomi Asano; Naohiko Heida; Tetsuya Sakurai; et al. (SWAT4LS, 2008)

A parallel method for large sparse generalized eigenvalue problems using a GridRPC system. - Tetsuya Sakurai; Yoshihisa Kodaki; Hiroto Tadano; Daisuke Takahashi; Mitsuhisa Sato; Umpei Nagashima (Future Gener. Comput. Syst., 2008)

PRIMe: A Web Site That Assembles Tools for Metabolomics and Transcriptomics. - Kenji Akiyama; Eisuke Chikayama; Hiroaki Yuasa; Yukihisa Shimada; Takayuki Tohge; Kazuo Shinozaki; Masami Y. Hirai; Tetsuya Sakurai; Jun Kikuchi; Kazuki Saito (Silico Biol., 2008)

A method for finding zeros of polynomial equations using a contour integral based eigensolver. - Tetsuya Sakurai; Junko Asakura; Hiroto Tadano; Tsutomu Ikegami; Kinji Kimura (SNC, 2009)

A numerical method for nonlinear eigenvalue problems using contour integrals. - Junko Asakura; Tetsuya Sakurai; Hiroto Tadano; Tsutomu Ikegami; Kinji Kimura (JSIAM Lett., 2009)

Error analysis for a matrix pencil of Hankel matrices with perturbed complex moments. - Tetsuya Sakurai; Junko Asakura; Hiroto Tadano; Tsutomu Ikegami (JSIAM Lett., 2009)

Block BiCGGR: a new Block Krylov subspace method for computing high accuracy solutions. - Hiroto Tadano; Tetsuya Sakurai; Yoshinobu Kuramashi (JSIAM Lett., 2009)

sORF finder: a program package to identify small open reading frames with high coding potential. - Kousuke Hanada; Kenji Akiyama; Tetsuya Sakurai; Tetsuro Toyoda; Kazuo Shinozaki; Shin-Han Shiu (Bioinform., 2010)

LegumeTFDB: an integrative database of Glycine max, Lotus japonicus and Medicago truncatula transcription factors. - Keiichi Mochida; Takuhiro Yoshida; Tetsuya Sakurai; Kazuko Yamaguchi-Shinozaki; Kazuo Shinozaki; Lam-Son Phan Tran (Bioinform., 2010)

Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD. - Tetsuya Sakurai; Hiroto Tadano; Yoshinobu Kuramashi (Comput. Phys. Commun., 2010)

Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD. - Hiroto Tadano; Yoshinobu Kuramashi; Tetsuya Sakurai (Comput. Phys. Commun., 2010)

A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method. - Tsutomu Ikegami; Tetsuya Sakurai; Umpei Nagashima (J. Comput. Appl. Math., 2010)

Parallel Fock matrix construction with distributed shared memory model for the FMO-MO method. - Hiroaki Umeda; Yuichi Inadomi; Toshio Watanabe; Toru Yagi; Takayoshi Ishimoto; Tsutomu Ikegami; Hiroto Tadano; Tetsuya Sakurai; Umpei Nagashima (J. Comput. Chem., 2010)

Parallel stochastic estimation method of eigenvalue distribution. - Yasunori Futamura; Hiroto Tadano; Tetsuya Sakurai (JSIAM Lett., 2010)

A quadrature-based eigensolver with a Krylov subspace method for shifted linear systems for Hermitian eigenproblems in lattice QCD. - Hiroshi Ohno; Yoshinobu Kuramashi; Tetsuya Sakurai; Hiroto Tadano (JSIAM Lett., 2010)

A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations. - Ikuro Yamazaki; Masayuki Okada; Hiroto Tadano; Tetsuya Sakurai; Keita Teranishi (JSIAM Lett., 2010)

Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane. - Yasuyuki Maeda; Yasunori Futamura; Tetsuya Sakurai (JSIAM Lett., 2011)

A convergence improvement of the BSAIC preconditioner by deflation. - Ikuro Yamazaki; Hiroto Tadano; Tetsuya Sakurai; Keita Teranishi (JSIAM Lett., 2011)

An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods. - Akira Imakura; Tetsuya Sakurai; Kohsuke Sumiyoshi; Hideo Matsufuru (MCSoC, 2012)

Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations. - Yasunori Futamura; Tetsuya Sakurai; Shinnosuke Furuya; Jun-ichi Iwata (VECPAR, 2012)

Modified block BiCGSTAB for lattice QCD. - Yoshifumi Nakamura; Ken-Ichi Ishikawa; Yoshinobu Kuramashi; Tetsuya Sakurai; Hiroto Tadano (Comput. Phys. Commun., 2012)

A parameter optimization technique for a weighted Jacobi-type preconditioner. - Akira Imakura; Tetsuya Sakurai; Kohsuke Sumiyoshi; Hideo Matsufuru (JSIAM Lett., 2012)

A modified Block IDR($s$) method for computing high accuracy solutions. - Michihiro Naito; Hiroto Tadano; Tetsuya Sakurai (JSIAM Lett., 2012)

Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems. - Takahiro Yano; Yasunori Futamura; Tetsuya Sakurai (3PGCIC, 2013)

A projection method for nonlinear eigenvalue problems using contour integrals. - Shinnosuke Yokota; Tetsuya Sakurai (JSIAM Lett., 2013)

Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method. - Ichitaro Yamazaki; Hiroto Tadano; Tetsuya Sakurai; Tsutomu Ikegami (Parallel Comput., 2013)

A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. - Akira Imakura; Lei Du; Tetsuya Sakurai (Appl. Math. Lett., 2014)

Correlations between predicted protein disorder and post-translational modifications in plants. - Atsushi Kurotani; Alexander A. Tokmakov; Yutaka Kuroda; Yasuo Fukami; Kazuo Shinozaki; Tetsuya Sakurai (Bioinform., 2014)

Block conjugate gradient type methods for the approximation of bilinear form CHA-1B. - Lei Du; Yasunori Futamura; Tetsuya Sakurai (Comput. Math. Appl., 2014)

ppdb: plant promoter database version 3.0. - Ayaka Hieno; Hushna Ara Naznin; Mitsuro Hyakumachi; Tetsuya Sakurai; Mututomo Tokizawa; Hiroyuki Koyama; Naoki Sato; Tomoaki Nishiyama; Mitsuyasu Hasebe; Andreas D. Zimmer; Daniel Lang 001; Ralf Reski; et al. (Nucleic Acids Res., 2014)

Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. - Xiucai Ye; Tetsuya Sakurai (IJCNN, 2015)

Filter analysis for the stochastic estimation of eigenvalue counts. - Yasuyuki Maeda; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2015)

Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization. - Lijiong Su; Akira Imakura; Hiroto Tadano; Tetsuya Sakurai (JSIAM Lett., 2015)

Spectral clustering and discriminant analysis for unsupervised feature selection. - Xiucai Ye; Kaiyang Ji; Tetsuya Sakurai (ESANN, 2016)

Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. - Xiucai Ye; Kaiyang Ji; Tetsuya Sakurai (FLAIRS, 2016)

Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. - Tetsuya Sakurai; Akira Imakura; Yuto Inoue; Yasunori Futamura (ICONIP (4), 2016)

Recovering from accuracy deterioration in the contour integral-based eigensolver. - Tetsuya Hasegawa; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2016)

Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems. - Akira Imakura; Lei Du; Tetsuya Sakurai (Numer. Algorithms, 2016)

Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. - Xiucai Ye; Tetsuya Sakurai (ICMHI, 2017)

Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. - Xiucai Ye; Tetsuya Sakurai (ICMLC, 2017)

Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. - Akira Imakura; Yasunori Futamura; Tetsuya Sakurai (PPAM (1), 2017)

Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. - Shigeru Iwase; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai; Tomoya Ono (SC, 2017)

Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems. - Hongjia Chen 001; Yasuyuki Maeda; Akira Imakura; Tetsuya Sakurai; Françoise Tisseur (JSIAM Lett., 2017)

Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. - Akira Imakura; Tetsuya Sakurai (Numer. Algorithms, 2017)

Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. - Xiucai Ye; Tetsuya Sakurai (J. Comput. Sci. Eng., 2017)

Spectral Feature Scaling Method for Supervised Dimensionality Reduction. - Momo Matsuda; Keiichi Morikuni; Tetsuya Sakurai (IJCAI, 2018)

Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. - Haruka Yamada; Akira Imakura; Toshiyuki Imamura; Tetsuya Sakurai (IPDPS Workshops, 2018)

Experimental Analysis of the Tournament Size on Genetic Algorithms. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai; Marcelo Ladeira (SMC, 2018)

Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. - Xiucai Ye; Hongmin Li; Tetsuya Sakurai; Zhi Liu (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2018)

Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module. - Yusei Miura; Tetsuya Sakurai; Claus Aranha; Toshiya Senda; Ryuichi Kato; Yusuke Yamada (CoRR, 2018)

Spectral clustering with adaptive similarity measure in Kernel space. - Xiucai Ye; Tetsuya Sakurai (Intell. Data Anal., 2018)

Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. - Haruka Yamada; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2018)

Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. - Takahiro Yano; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai (JSIAM Lett., 2018)

Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. - Xiucai Ye; Tetsuya Sakurai (J. Univers. Comput. Sci., 2018)

Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. - Akira Imakura; Yuto Inoue; Tetsuya Sakurai; Yasunori Futamura (Neural Process. Lett., 2018)

Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. - Akira Imakura; Tetsuya Sakurai (Parallel Comput., 2018)

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. - Akira Imakura; Momo Matsuda; Xiucai Ye; Tetsuya Sakurai (AAAI, 2019)

Using diversity as a priority function for resource allocation on MOEA/D. - Yuri Cossich Lavinas; Claus Aranha; Tetsuya Sakurai (GECCO (Companion), 2019)

Distributed Collaborative Feature Selection Based on Intermediate Representation. - Xiucai Ye; Hongmin Li; Akira Imakura; Tetsuya Sakurai (IJCAI, 2019)

Simultaneous band reduction of two symmetric matrices. - Lei Du; Akira Imakura; Tetsuya Sakurai (Comput. Math. Appl., 2019)

Data collaboration analysis for distributed datasets. - Akira Imakura; Tetsuya Sakurai (CoRR, 2019)

Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem. - Hongjia Chen 001; Jie Meng; Tetsuya Sakurai; Xiang Wang 016 (Numer. Linear Algebra Appl., 2019)

Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search. - Yifan He 001; Claus Aranha; Tetsuya Sakurai (BIOMA, 2020)

A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. - Jair Pereira Junior; Claus Aranha; Tetsuya Sakurai (CEC, 2020)

Ensemble Learning for Spectral Clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (ICDM, 2020)

Hubness-based Sampling Method for Nyström Spectral Clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (IJCNN, 2020)

Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. - Suhyeon Baek; Akira Imakura; Tetsuya Sakurai; Ichiro Kataoka (PKAW, 2020)

Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. - Akira Imakura; Xiucai Ye; Tetsuya Sakurai (PKAW, 2020)

Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. - Xiucai Ye; Weihang Zhang; Tetsuya Sakurai (IEEE Access, 2020)

Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. - Anna Bogdanova; Akie Nakai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (CoRR, 2020)

Multiclass spectral feature scaling method for dimensionality reduction. - Momo Matsuda; Keiichi Morikuni; Akira Imakura; Xiucai Ye; Tetsuya Sakurai (Intell. Data Anal., 2020)

An oversampling framework for imbalanced classification based on Laplacian eigenmaps. - Xiucai Ye; Hongmin Li; Akira Imakura; Tetsuya Sakurai (Neurocomputing, 2020)

ESSEX: Equipping Sparse Solvers For Exascale. - Christie L. Alappat; Andreas Alvermann; Achim Basermann; Holger Fehske; Yasunori Futamura; Martin Galgon; Georg Hager; Sarah Huber; Akira Imakura; Masatoshi Kawai; Moritz Kreutzer; Bruno Lang; et al. (Software for Exascale Computing, 2020)

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. - Akira Imakura; Xiucai Ye; Tetsuya Sakurai (ACML, 2021)

Dynamic adaptation of decomposition vector set size for MOEA/D. - Yuta Kobayashi; Claus Aranha; Tetsuya Sakurai (GECCO Companion, 2021)

Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning. - Yasunori Futamura; Tetsuya Sakurai (HPC Asia, 2021)

Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. - Takahiro Yano; Yasunori Futamura; Akira Imakura; Tetsuya Sakurai (HPC Asia, 2021)

Spectral Graph Partitioning Using Geodesic Distance-based Projection. - Yasunori Futamura; Ryota Wakaki; Tetsuya Sakurai (HPEC, 2021)

Online Spectral Classification for Long-Term Spike Sorting. - Kotaro Sakamoto; Keiichi Morikuni; Tetsuya Sakurai; Sumire Matsumoto; Kaspar Vogt (ICMHI, 2021)

Spectral Clustering Joint Deep Embedding Learning by Autoencoder. - Xiucai Ye; Chunhao Wang; Akira Imakura; Tetsuya Sakurai (IJCNN, 2021)

Application of learning to rank in bioinformatics tasks. - Xiaoqing Ru; Xiucai Ye; Tetsuya Sakurai; Quan Zou 001 (Briefings Bioinform., 2021)

ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. - Lesong Wei; Xiucai Ye; Yuyang Xue; Tetsuya Sakurai; Leyi Wei (Briefings Bioinform., 2021)

Accuracy and Privacy Evaluations of Collaborative Data Analysis. - Akira Imakura; Anna Bogdanova; Takaya Yamazoe; Kazumasa Omote; Tetsuya Sakurai (CoRR, 2021)

Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. - Akira Imakura; Tetsuya Sakurai (CoRR, 2021)

Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. - Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai (CoRR, 2021)

Interpretable collaborative data analysis on distributed data. - Akira Imakura; Hiroaki Inaba; Yukihiko Okada; Tetsuya Sakurai (Expert Syst. Appl., 2021)

Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. - Yuta Takahashi; Hanten Chang; Akie Nakai; Rina Kagawa; Hiroyasu Ando; Akira Imakura; Yukihiko Okada; Hideo Tsurushima; Kenji Suzuki 002; Tetsuya Sakurai (SN Comput. Sci., 2021)

Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. - Mitsuteru Abe; Fabio Henrique Kiyoiti dos Santos Tanaka; Jair Pereira Junior; Anna Bogdanova; Tetsuya Sakurai; Claus Aranha (AAMAS, 2022)

A study of the privacy perspective on principal component analysis via a realistic attack model. - Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya Sakurai (CIS, 2022)

Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. - Yifan He 001; Claus Aranha; Tetsuya Sakurai (GECCO Companion, 2022)

Multi-View Federated Learning with Data Collaboration. - Yitao Yang; Xiucai Ye; Tetsuya Sakurai (ICMLC, 2022)

Knowledge distillation-based privacy-preserving data analysis. - Dong Huang; Xiucai Ye; Tetsuya Sakurai (RACS, 2022)

ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. - Lesong Wei; Xiucai Ye; Tetsuya Sakurai (RACS, 2022)

Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. - Yifan He 001; Claus Aranha; Tetsuya Sakurai (SSCI, 2022)

Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. - Yifan Shang; Xiucai Ye; Yasunori Futamura; Liang Yu 002; Tetsuya Sakurai (Briefings Bioinform., 2022)

iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. - Zhao-Yue Zhang; Lin Ning 002; Xiucai Ye; Yu-He Yang; Yasunori Futamura; Tetsuya Sakurai; Hao Lin 001 (Briefings Bioinform., 2022)

NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. - Xiaoqing Ru; Xiucai Ye; Tetsuya Sakurai; Quan Zou 001 (Bioinform., 2022)

ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. - Lesong Wei; Xiucai Ye; Tetsuya Sakurai; Zengchao Mu; Leyi Wei (Bioinform., 2022)

A Particle-Based Algorithm for Distributional Optimization on textit{Constrained Domains} via Variational Transport and Mirror Descent. - Dai Hai Nguyen; Tetsuya Sakurai (CoRR, 2022)

Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (CoRR, 2022)

A parallel computing method for the higher order tensor renormalization group. - Takumi Yamashita; Tetsuya Sakurai (Comput. Phys. Commun., 2022)

Divide-and-conquer based large-scale spectral clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (Neurocomputing, 2022)

Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. - Meng Huang 003; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (J. Biomed. Informatics, 2022)

The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method. - Hongjia Chen 001; Ke Zhang; Tetsuya Sakurai (Numer. Linear Algebra Appl., 2022)

Flexible subspace iteration with moments for an effective contour integration-based eigensolver. - Sarah Huber; Yasunori Futamura; Martin Galgon; Akira Imakura; Bruno Lang; Tetsuya Sakurai (Numer. Linear Algebra Appl., 2022)

Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. - Tianyi Shi; Xiucai Ye; Tetsuya Sakurai (BIBM, 2023)

Multi-view Network Embedding with Structure and Semantic Contrastive Learning. - Yifan Shang; Xiucai Ye; Tetsuya Sakurai (ICME, 2023)

Quantum Algorithm for Regularized Spectral Clustering. - Changzhou Long; Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai (ICMLC, 2023)

Common and Unique Features Learning in Multi-view Network Embedding. - Yifan Shang; Xiucai Ye; Tetsuya Sakurai (IJCNN, 2023)

Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. - Akihiro Mizoguchi; Anna Bogdanova; Akira Imakura; Tetsuya Sakurai (CoRR, 2023)

Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. - Momo Matsuda; Yasunori Futamura; Xiucai Ye; Tetsuya Sakurai (Frontiers Comput. Sci., 2023)

LSEC: Large-scale spectral ensemble clustering. - Hongmin Li; Xiucai Ye; Akira Imakura; Tetsuya Sakurai (Intell. Data Anal., 2023)

Non-readily identifiable data collaboration analysis for multiple datasets including personal information. - Akira Imakura; Tetsuya Sakurai; Yukihiko Okada; Tomoya Fujii; Teppei Sakamoto; Hiroyuki Abe (Inf. Fusion, 2023)

Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. - Dai Hai Nguyen; Tetsuya Sakurai (Mach. Learn., 2023)

SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. - Xin Zhang; Lesong Wei; Xiucai Ye; Kai Zhang; Saisai Teng; Zhongshen Li; Junru Jin; Min Jae Kim; Tetsuya Sakurai; Lizhen Cui; Balachandran Manavalan; Leyi Wei (Briefings Bioinform., 2023)

DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. - Akira Imakura; Ryoya Tsunoda; Rina Kagawa; Kunihiro Yamagata; Tetsuya Sakurai (J. Biomed. Informatics, 2023)

Multi-omics clustering for cancer subtyping based on latent subspace learning. - Xiucai Ye; Yifan Shang; Tianyi Shi; Weihang Zhang; Tetsuya Sakurai (Comput. Biol. Medicine, 2023)

DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. - Anna Bogdanova; Akira Imakura; Tetsuya Sakurai (Hum. Centric Intell. Syst., 2023)

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. - Shihu Jiao; Xiucai Ye; Chunyan Ao; Tetsuya Sakurai; Quan Zou 001; Lei Xu 047 (Bioinform., 2023)

Another use of SMOTE for interpretable data collaboration analysis. - Akira Imakura; Masateru Kihira; Yukihiko Okada; Tetsuya Sakurai (Expert Syst. Appl., 2023)

Top to random shuffles on colored permutations. - Fumihiko Nakano; Taizo Sadahiro; Tetsuya Sakurai (Discret. Appl. Math., 2023)

Complex moment-based eigensolver coupled with two Krylov subspaces. - Akira Imakura; Tetsuya Sakurai (J. Comput. Appl. Math., 2023)

Deep generative model for drug design from protein target sequence. - Yangyang Chen 006; Zixu Wang; Lei Wang; Jianmin Wang 016; Pengyong Li; Dongsheng Cao 001; Xiangxiang Zeng; Xiucai Ye; Tetsuya Sakurai (J. Cheminformatics, 2023)

Integrating Biological Language Processing and Memory Attention Model for Protein-DNA Binding Residue Prediction. - Shixuan Guan; Xiucai Ye; Tetsuya Sakurai (BIBM, 2024)

Selecting interpretable features for cancer subtyping on multi-omics data. - Tianyi Shi; Xiucai Ye; Dong Huang; Tetsuya Sakurai (BIBM, 2024)

Deciphering the Complex Characterization of Coding LncRNA. - Tianyuan Liu; Xiucai Ye; Tetsuya Sakurai (IJCNN, 2024)

CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network. - Zixu Wang; Yangyang Chen 006; Xiucai Ye; Tetsuya Sakurai (IJCNN, 2024)

Toward the Application of Differential Privacy to Data Collaboration. - Hiromi Yamashiro; Kazumasa Omote; Akira Imakura; Tetsuya Sakurai (IEEE Access, 2024)

Multi-party collaborative drug discovery via federated learning. - Dong Huang; Xiucai Ye; Tetsuya Sakurai (Comput. Biol. Medicine, 2024)

Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (CoRR, 2024)

MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. - Li Wang 145; Xiangzheng Fu; Jiahao Yang; Xinyi Zhang; Xiucai Ye; Yiping Liu; Tetsuya Sakurai; Xiangxiang Zeng (CoRR, 2024)

FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration. - Akira Imakura; Tetsuya Sakurai (CoRR, 2024)

Collaborative causal inference on distributed data. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (Expert Syst. Appl., 2024)

An interpretable deep learning model predicts RNA-small molecule binding sites. - Wen-Yu Xi; Ruheng Wang; Li Wang; Xiucai Ye; Mingyang Liu; Tetsuya Sakurai (Future Gener. Comput. Syst., 2024)

FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. - Shida He; Xiucai Ye; Lijun Dou; Tetsuya Sakurai (Comput. Biol. Medicine, 2024)

Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems. - Dai Hai Nguyen; Tetsuya Sakurai (Mach. Learn., 2024)

Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. - Dai Hai Nguyen; Tetsuya Sakurai; Hiroshi Mamitsuka (AISTATS, 2025)

Image-based generation for molecule design with SketchMol. - Zixu Wang; Yangyang Chen 006; Pengsen Ma; Zhou Yu; Jianmin Wang 016; Yuansheng Liu; Xiucai Ye; Tetsuya Sakurai; Xiangxiang Zeng (Nat. Mac. Intell., 2025)

Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach. - Sota Mashiko; Yuji Kawamata; Tomoru Nakayama; Tetsuya Sakurai; Yukihiko Okada (CoRR, 2025)

A new type of federated clustering: A non-model-sharing approach. - Yuji Kawamata; Kaoru Kamijo; Masateru Kihira; Akihiro Toyoda; Tomoru Nakayama; Akira Imakura; Tetsuya Sakurai; Yukihiko Okada (CoRR, 2025)

Estimation of conditional average treatment effects on distributed confidential data. - Yuji Kawamata; Ryoki Motai; Yukihiko Okada; Akira Imakura; Tetsuya Sakurai (Expert Syst. Appl., 2026)