Tetsuya Sakurai

172 papers A* 4A 4B 11C 7Misc 4Journal 113Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Estimation of conditional average treatment effects on distributed confidential data. Expert Syst. Appl. Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2025	J	`jnl`	A new type of federated clustering: A non-model-sharing approach. CoRR Yuji Kawamata, Kaoru Kamijo, Masateru Kihira, Akihiro Toyoda, Tomoru Nakayama, Akira Imakura, Tetsuya Sakurai, Yukihiko Okada
2025	J	`jnl`	Anomaly Detection in Double-entry Bookkeeping Data by Federated Learning System with Non-model Sharing Approach. CoRR Sota Mashiko, Yuji Kawamata, Tomoru Nakayama, Tetsuya Sakurai, Yukihiko Okada
2025	B	`conf`	Deep Feature Learning for Multi-Omics Clustering Using Supervised Variational Autoencoders with Clinical Information. IJCNN Tianyi Shi, Xiucai Ye, Tetsuya Sakurai
2025	—	`conf`	GSToxi: Gated Cross-Modal Modeling With Graph-Sequence Encoders for Peptide Toxicity Prediction. BIBM Li Wang, Xiangzheng Fu, Tianyi Shi, Xiucai Ye, Tetsuya Sakurai, Yiping Liu
2025	J	`jnl`	Image-based generation for molecule design with SketchMol. Nat. Mac. Intell. Zixu Wang, Yangyang Chen, Pengsen Ma, Zhou Yu, Jianmin Wang, Yuansheng Liu, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng
2025	J	`jnl`	MOFormer: navigating the antimicrobial peptide design space with Pareto-based multi-objective transformer. Briefings Bioinform. Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng, Yiping Liu
2025	J	`jnl`	PKAN: Leveraging Kolmogorov-Arnold Networks and Multi-Modal Learning for Peptide Prediction With Advanced Language Models. IEEE J. Biomed. Health Informatics Li Wang, Xiangzheng Fu, Xiucai Ye, Tetsuya Sakurai, Xiangxiang Zeng, Yiping Liu
2025	A	`conf`	Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. AISTATS Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
2024	J	`jnl`	An interpretable deep learning model predicts RNA-small molecule binding sites. Future Gener. Comput. Syst. Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai
2024	J	`jnl`	Collaborative causal inference on distributed data. Expert Syst. Appl. Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2024	B	`conf`	CyclePermea: Membrane Permeability Prediction of Cyclic Peptides with a Multi-Loss Fusion Network. IJCNN Zixu Wang, Yangyang Chen, Xiucai Ye, Tetsuya Sakurai
2024	B	`conf`	Deciphering the Complex Characterization of Coding LncRNA. IJCNN Tianyuan Liu, Xiucai Ye, Tetsuya Sakurai
2024	J	`jnl`	Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. CoRR Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2024	J	`jnl`	FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. Comput. Biol. Medicine Shida He, Xiucai Ye, Lijun Dou, Tetsuya Sakurai
2024	J	`jnl`	FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration. CoRR Akira Imakura, Tetsuya Sakurai
2024	J	`jnl`	Integrated convolution and self-attention for improving peptide toxicity prediction. Bioinform. Shihu Jiao, Xiucai Ye, Tetsuya Sakurai, Quan Zou, Ruijun Liu
2024	—	`conf`	Integrating Biological Language Processing and Memory Attention Model for Protein-DNA Binding Residue Prediction. BIBM Shixuan Guan, Xiucai Ye, Tetsuya Sakurai
2024	J	`jnl`	MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng
2024	J	`jnl`	Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems. Mach. Learn. Dai Hai Nguyen, Tetsuya Sakurai
2024	J	`jnl`	Multi-party collaborative drug discovery via federated learning. Comput. Biol. Medicine Dong Huang, Xiucai Ye, Tetsuya Sakurai
2024	—	`conf`	Selecting interpretable features for cancer subtyping on multi-omics data. BIBM Tianyi Shi, Xiucai Ye, Dong Huang, Tetsuya Sakurai
2024	J	`jnl`	Toward the Application of Differential Privacy to Data Collaboration. IEEE Access Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu
2023	J	`jnl`	Another use of SMOTE for interpretable data collaboration analysis. Expert Syst. Appl. Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
2023	B	`conf`	Common and Unique Features Learning in Multi-view Network Embedding. IJCNN Yifan Shang, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Complex moment-based eigensolver coupled with two Krylov subspaces. J. Comput. Appl. Math. Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. J. Biomed. Informatics Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai
2023	J	`jnl`	DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. CoRR Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Deep generative model for drug design from protein target sequence. J. Cheminformatics Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. Frontiers Comput. Sci. Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2023	J	`jnl`	Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. Mach. Learn. Dai Hai Nguyen, Tetsuya Sakurai
2023	J	`jnl`	Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems. CoRR Dai Hai Nguyen, Tetsuya Sakurai
2023	—	`conf`	Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. BIBM Tianyi Shi, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Multi-omics clustering for cancer subtyping based on latent subspace learning. Comput. Biol. Medicine Xiucai Ye, Yifan Shang, Tianyi Shi, Weihang Zhang, Tetsuya Sakurai
2023	A	`conf`	Multi-view Network Embedding with Structure and Semantic Contrastive Learning. ICME Yifan Shang, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	Non-readily identifiable data collaboration analysis for multiple datasets including personal information. Inf. Fusion Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
2023	Misc	`conf`	Quantum Algorithm for Regularized Spectral Clustering. ICMLC Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
2023	J	`jnl`	SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 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
2023	J	`jnl`	Top to random shuffles on colored permutations. Discret. Appl. Math. Fumihiko Nakano, Taizo Sadahiro, Tetsuya Sakurai
2023	J	`jnl`	Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. CoRR Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
2022	J	`jnl`	A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent. CoRR Dai Hai Nguyen, Tetsuya Sakurai
2022	J	`jnl`	A parallel computing method for the higher order tensor renormalization group. Comput. Phys. Commun. Takumi Yamashita, Tetsuya Sakurai
2022	C	`conf`	A study of the privacy perspective on principal component analysis via a realistic attack model. CIS Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
2022	J	`jnl`	Another Use of SMOTE for Interpretable Data Collaboration Analysis. CoRR Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
2022	J	`jnl`	Collaborative causal inference on distributed data. CoRR Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Divide-and-conquer based large-scale spectral clustering. Neurocomputing Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
2022	—	`conf`	Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. GECCO Companion Yifan He, Claus Aranha, Tetsuya Sakurai
2022	—	`conf`	Knowledge distillation-based privacy-preserving data analysis. RACS Dong Huang, Xiucai Ye, Tetsuya Sakurai
2022	—	`conf`	Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. SSCI Yifan He, Claus Aranha, Tetsuya Sakurai
2022	J	`jnl`	Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. CoRR Yifan He, Claus Aranha, Tetsuya Sakurai
2022	Misc	`conf`	Multi-View Federated Learning with Data Collaboration. ICMLC Yitao Yang, Xiucai Ye, Tetsuya Sakurai
2022	J	`jnl`	Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai
2022	J	`jnl`	NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
2022	J	`jnl`	Non-readily identifiable data collaboration analysis for multiple datasets including personal information. CoRR Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
2022	J	`jnl`	Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2022	J	`jnl`	The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method. Numer. Linear Algebra Appl. Hongjia Chen, Ke Zhang, Tetsuya Sakurai
2022	J	`jnl`	ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei
2022	—	`conf`	ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. RACS Lesong Wei, Xiucai Ye, Tetsuya Sakurai
2022	A	`conf`	Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. AAMAS Mitsuteru Abe, Fabio Henrique Kiyoiti dos Santos Tanaka, Jair Pereira Junior, Anna Bogdanova, Tetsuya Sakurai, Claus Aranha
2022	J	`jnl`	iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings Bioinform. Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin
2021	J	`jnl`	ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei
2021	J	`jnl`	Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai
2021	J	`jnl`	Application of learning to rank in bioinformatics tasks. Briefings Bioinform. Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
2021	C	`conf`	Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2021	J	`jnl`	Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. CoRR Akira Imakura, Tetsuya Sakurai
2021	J	`jnl`	Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
2021	J	`jnl`	Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. SN Comput. Sci. Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai
2021	J	`jnl`	Divide-and-conquer based Large-Scale Spectral Clustering. CoRR Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2021	—	`conf`	Dynamic adaptation of decomposition vector set size for MOEA/D. GECCO Companion Yuta Kobayashi, Claus Aranha, Tetsuya Sakurai
2021	C	`conf`	Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning. HPC Asia Yasunori Futamura, Tetsuya Sakurai
2021	C	`conf`	Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
2021	J	`jnl`	Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
2021	J	`jnl`	LSEC: Large-scale spectral ensemble clustering. CoRR Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2021	—	`conf`	Online Spectral Classification for Long-Term Spike Sorting. ICMHI Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt
2021	B	`conf`	Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai
2021	—	`conf`	Spectral Graph Partitioning Using Geodesic Distance-based Projection. HPEC Yasunori Futamura, Ryota Wakaki, Tetsuya Sakurai
2020	B	`conf`	A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. CEC Jair Pereira Junior, Claus Aranha, Tetsuya Sakurai
2020	C	`conf`	Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. PKAW Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka
2020	J	`jnl`	Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. IEEE Access Xiucai Ye, Weihang Zhang, Tetsuya Sakurai
2020	J	`jnl`	An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
2020	C	`conf`	Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2020	—	`ch.`	ESSEX: Equipping Sparse Solvers For Exascale. Software for Exascale Computing 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, Kengo Nakajima, Melven Röhrig-Zöllner, Tetsuya Sakurai, Faisal Shahzad, Jonas Thies, Gerhard Wellein
2020	A*	`conf`	Ensemble Learning for Spectral Clustering. ICDM Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
2020	B	`conf`	Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
2020	J	`jnl`	Interpretable collaborative data analysis on distributed data. CoRR Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
2020	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2020	—	`conf`	Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search. BIOMA Yifan He, Claus Aranha, Tetsuya Sakurai
2019	J	`jnl`	Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem. Numer. Linear Algebra Appl. Hongjia Chen, Jie Meng, Tetsuya Sakurai, Xiang Wang
2019	A*	`conf`	Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
2019	J	`jnl`	Data collaboration analysis for distributed datasets. CoRR Akira Imakura, Tetsuya Sakurai
2019	A*	`conf`	Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
2019	J	`jnl`	Multiclass spectral feature scaling method for dimensionality reduction. CoRR Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
2019	J	`jnl`	Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. Lei Du, Akira Imakura, Tetsuya Sakurai
2019	—	`conf`	Using diversity as a priority function for resource allocation on MOEA/D. GECCO (Companion) Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai
2018	J	`jnl`	Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. Parallel Comput. Akira Imakura, Tetsuya Sakurai
2018	J	`jnl`	Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module. CoRR Yusei Miura, Tetsuya Sakurai, Claus Aranha, Toshiya Senda, Ryuichi Kato, Yusuke Yamada
2018	J	`jnl`	Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. JSIAM Lett. Haruka Yamada, Akira Imakura, Tetsuya Sakurai
2018	B	`conf`	Experimental Analysis of the Tournament Size on Genetic Algorithms. SMC Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira
2018	—	`conf`	Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu
2018	—	`conf`	Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops Haruka Yamada, Akira Imakura, Toshiyuki Imamura, Tetsuya Sakurai
2018	J	`jnl`	Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura
2018	J	`jnl`	Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. JSIAM Lett. Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
2018	A*	`conf`	Spectral Feature Scaling Method for Supervised Dimensionality Reduction. IJCAI Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
2018	J	`jnl`	Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. Xiucai Ye, Tetsuya Sakurai
2018	J	`jnl`	Spectral feature scaling method for supervised dimensionality reduction. CoRR Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
2018	J	`jnl`	Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. J. Univers. Comput. Sci. Xiucai Ye, Tetsuya Sakurai
2017	J	`jnl`	Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numer. Algorithms Akira Imakura, Tetsuya Sakurai
2017	A	`conf`	Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. SC Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono
2017	J	`jnl`	Feature Selection via Embedded Learning Based on Tangent Space Alignment for Microarray Data. J. Comput. Sci. Eng. Xiucai Ye, Tetsuya Sakurai
2017	J	`jnl`	Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems. JSIAM Lett. Hongjia Chen, Yasuyuki Maeda, Akira Imakura, Tetsuya Sakurai, Françoise Tisseur
2017	Misc	`conf`	Similarity Measure Based on Adaptive Neighbors for Spectral Clustering. ICMLC Xiucai Ye, Tetsuya Sakurai
2017	—	`conf`	Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) Akira Imakura, Yasunori Futamura, Tetsuya Sakurai
2017	—	`conf`	Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. ICMHI Xiucai Ye, Tetsuya Sakurai
2016	—	`conf`	Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. ICONIP (4) Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
2016	J	`jnl`	Alternating optimization method based on nonnegative matrix factorizations for deep neural networks. CoRR Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura
2016	J	`jnl`	Error bounds of Rayleigh-Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems. Numer. Algorithms Akira Imakura, Lei Du, Tetsuya Sakurai
2016	Misc	`conf`	Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation. FLAIRS Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai
2016	J	`jnl`	Recovering from accuracy deterioration in the contour integral-based eigensolver. JSIAM Lett. Tetsuya Hasegawa, Akira Imakura, Tetsuya Sakurai
2016	B	`conf`	Spectral clustering and discriminant analysis for unsupervised feature selection. ESANN Xiucai Ye, Kaiyang Ji, Tetsuya Sakurai
2015	J	`jnl`	Filter analysis for the stochastic estimation of eigenvalue counts. JSIAM Lett. Yasuyuki Maeda, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
2015	J	`jnl`	Improving the convergence behaviour of BiCGSTAB by applying JSIAM Lett. Lijiong Su, Akira Imakura, Hiroto Tadano, Tetsuya Sakurai
2015	B	`conf`	Spectral clustering using robust similarity measure based on closeness of shared Nearest Neighbors. IJCNN Xiucai Ye, Tetsuya Sakurai
2014	J	`jnl`	A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems. Appl. Math. Lett. Akira Imakura, Lei Du, Tetsuya Sakurai
2014	J	`jnl`	Block conjugate gradient type methods for the approximation of bilinear form C Comput. Math. Appl. Lei Du, Yasunori Futamura, Tetsuya Sakurai
2014	J	`jnl`	Correlations between predicted protein disorder and post-translational modifications in plants. Bioinform. Atsushi Kurotani, Alexander A. Tokmakov, Yutaka Kuroda, Yasuo Fukami, Kazuo Shinozaki, Tetsuya Sakurai
2014	J	`jnl`	ppdb: plant promoter database version 3.0. Nucleic Acids Res. Ayaka Hieno, Hushna Ara Naznin, Mitsuro Hyakumachi, Tetsuya Sakurai, Mututomo Tokizawa, Hiroyuki Koyama, Naoki Sato, Tomoaki Nishiyama, Mitsuyasu Hasebe, Andreas D. Zimmer, Daniel Lang, Ralf Reski, Stefan A. Rensing, Junichi Obokata, Yoshiharu Y. Yamamoto
2013	J	`jnl`	A projection method for nonlinear eigenvalue problems using contour integrals. JSIAM Lett. Shinnosuke Yokota, Tetsuya Sakurai
2013	—	`conf`	Multi-GPU Scalable Implementation of a Contour-Integral-Based Eigensolver for Real Symmetric Dense Generalized Eigenvalue Problems. 3PGCIC Takahiro Yano, Yasunori Futamura, Tetsuya Sakurai
2013	J	`jnl`	Performance comparison of parallel eigensolvers based on a contour integral method and a Lanczos method. Parallel Comput. Ichitaro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Tsutomu Ikegami
2012	J	`jnl`	A modified Block IDR($s$) method for computing high accuracy solutions. JSIAM Lett. Michihiro Naito, Hiroto Tadano, Tetsuya Sakurai
2012	J	`jnl`	A parameter optimization technique for a weighted Jacobi-type preconditioner. JSIAM Lett. Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru
2012	—	`conf`	An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods. MCSoC Akira Imakura, Tetsuya Sakurai, Kohsuke Sumiyoshi, Hideo Matsufuru
2012	—	`conf`	Efficient Algorithm for Linear Systems Arising in Solutions of Eigenproblems and Its Application to Electronic-Structure Calculations. VECPAR Yasunori Futamura, Tetsuya Sakurai, Shinnosuke Furuya, Jun-ichi Iwata
2012	J	`jnl`	Modified block BiCGSTAB for lattice QCD. Comput. Phys. Commun. Yoshifumi Nakamura, Ken-Ichi Ishikawa, Yoshinobu Kuramashi, Tetsuya Sakurai, Hiroto Tadano
2011	J	`jnl`	A convergence improvement of the BSAIC preconditioner by deflation. JSIAM Lett. Ikuro Yamazaki, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi
2011	J	`jnl`	Stochastic estimation method of eigenvalue density for nonlinear eigenvalue problem on the complex plane. JSIAM Lett. Yasuyuki Maeda, Yasunori Futamura, Tetsuya Sakurai
2010	J	`jnl`	A block sparse approximate inverse with cutoff preconditioner for semi-sparse linear systems derived from Molecular Orbital calculations. JSIAM Lett. Ikuro Yamazaki, Masayuki Okada, Hiroto Tadano, Tetsuya Sakurai, Keita Teranishi
2010	J	`jnl`	A filter diagonalization for generalized eigenvalue problems based on the Sakurai-Sugiura projection method. J. Comput. Appl. Math. Tsutomu Ikegami, Tetsuya Sakurai, Umpei Nagashima
2010	J	`jnl`	A quadrature-based eigensolver with a Krylov subspace method for shifted linear systems for Hermitian eigenproblems in lattice QCD. JSIAM Lett. Hiroshi Ohno, Yoshinobu Kuramashi, Tetsuya Sakurai, Hiroto Tadano
2010	J	`jnl`	Application of block Krylov subspace algorithms to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD. Comput. Phys. Commun. Tetsuya Sakurai, Hiroto Tadano, Yoshinobu Kuramashi
2010	J	`jnl`	Application of preconditioned block BiCGGR to the Wilson-Dirac equation with multiple right-hand sides in lattice QCD. Comput. Phys. Commun. Hiroto Tadano, Yoshinobu Kuramashi, Tetsuya Sakurai
2010	J	`jnl`	LegumeTFDB: an integrative database of Bioinform. Keiichi Mochida, Takuhiro Yoshida, Tetsuya Sakurai, Kazuko Yamaguchi-Shinozaki, Kazuo Shinozaki, Lam-Son Phan Tran
2010	J	`jnl`	Parallel Fock matrix construction with distributed shared memory model for the FMO-MO method. J. Comput. Chem. Hiroaki Umeda, Yuichi Inadomi, Toshio Watanabe, Toru Yagi, Takayoshi Ishimoto, Tsutomu Ikegami, Hiroto Tadano, Tetsuya Sakurai, Umpei Nagashima
2010	J	`jnl`	Parallel stochastic estimation method of eigenvalue distribution. JSIAM Lett. Yasunori Futamura, Hiroto Tadano, Tetsuya Sakurai
2010	J	`jnl`	sORF finder: a program package to identify small open reading frames with high coding potential. Bioinform. Kousuke Hanada, Kenji Akiyama, Tetsuya Sakurai, Tetsuro Toyoda, Kazuo Shinozaki, Shin-Han Shiu
2009	—	`conf`	A method for finding zeros of polynomial equations using a contour integral based eigensolver. SNC Tetsuya Sakurai, Junko Asakura, Hiroto Tadano, Tsutomu Ikegami, Kinji Kimura
2009	J	`jnl`	A numerical method for nonlinear eigenvalue problems using contour integrals. JSIAM Lett. Junko Asakura, Tetsuya Sakurai, Hiroto Tadano, Tsutomu Ikegami, Kinji Kimura
2009	J	`jnl`	Block BiCGGR: a new Block Krylov subspace method for computing high accuracy solutions. JSIAM Lett. Hiroto Tadano, Tetsuya Sakurai, Yoshinobu Kuramashi
2009	J	`jnl`	Error analysis for a matrix pencil of Hankel matrices with perturbed complex moments. JSIAM Lett. Tetsuya Sakurai, Junko Asakura, Hiroto Tadano, Tsutomu Ikegami
2008	—	`conf`	A Secure Data Repository Integrating Huge Volumes of Digital Contents as a Semantic Web. SWAT4LS Norio Kobayashi, Yuko Makita, Eli Kaminuma, Shuji Kawaguchi, Yuko Yoshida, Yoshiki Mochizuki, Akihiro Matsushima, Manabu Ishii, Ryo Umetsu, Satomi Asano, Naohiko Heida, Tetsuya Sakurai, Takashi Kuromori, Kazuo Shinozaki, Tetsuro Toyoda
2008	J	`jnl`	A parallel method for large sparse generalized eigenvalue problems using a GridRPC system. Future Gener. Comput. Syst. Tetsuya Sakurai, Yoshihisa Kodaki, Hiroto Tadano, Daisuke Takahashi, Mitsuhisa Sato, Umpei Nagashima
2008	J	`jnl`	PRIMe: A Web Site That Assembles Tools for Metabolomics and Transcriptomics. Silico Biol. Kenji Akiyama, Eisuke Chikayama, Hiroaki Yuasa, Yukihisa Shimada, Takayuki Tohge, Kazuo Shinozaki, Masami Y. Hirai, Tetsuya Sakurai, Jun Kikuchi, Kazuki Saito
2007	J	`jnl`	Construction of a metadata space for a specific field of knowledge from an index of a document. Syst. Comput. Jpn. Takafumi Nakanishi, Sadaya Kishimoto, Tetsuya Sakurai, Takashi Kitagawa
2007	—	`conf`	On Single Precision Preconditioners for Krylov Subspace Iterative Methods. LSSC Hiroto Tadano, Tetsuya Sakurai
2006	—	`conf`	A Master-Worker Type Eigensolver for Molecular Orbital Computations. PARA Tetsuya Sakurai, Yoshihisa Kodaki, Hiroto Tadano, Hiroaki Umeda, Yuichi Inadomi, Toshio Watanabe, Umpei Nagashima
2006	—	`conf`	An Implementation Method of an Integrated Associative Search for Mathematical Expressions. Databases and Applications Sadaya Kishimoto, Takafumi Nakanishi, Mamoru Murakata, Toru Otsuka, Tetsuya Sakurai, Takashi Kitagawa
2006	C	`conf`	Performance Improvement by Data Management Layer in a Grid RPC System. GPC Yoshiaki Aida, Yoshihiro Nakajima, Mitsuhisa Sato, Tetsuya Sakurai, Daisuke Takahashi, Taisuke Boku
2005	—	`conf`	A Hybrid Parallel Method for Large Sparse Eigenvalue Problems on a Grid Computing Environment Using Ninf-G/MPI. LSSC Tetsuya Sakurai, Yoshihisa Kodaki, Hiroaki Umeda, Yuichi Inadomi, Toshio Watanabe, Umpei Nagashima
2005	J	`jnl`	RARGE: a large-scale database of RIKEN Nucleic Acids Res. Tetsuya Sakurai, Masakazu Satou, Kenji Akiyama, Kei Iida, Motoaki Seki, Takashi Kuromori, Takuya Ito, Akihiko Konagaya, Tetsuro Toyoda, Kazuo Shinozaki
2004	—	`conf`	A Parallel Method for Large Sparse Generalized Eigenvalue Problems by OmniRPC in a Grid Environment. PARA Tetsuya Sakurai, Kentaro Hayakawa, Mitsuhisa Sato, Daisuke Takahashi
2003	J	`jnl`	Error Analysis of a Derivative-Free Algorithm for Computing Zeros of Holomorphic Functions. Computing Peter Kravanja, Tetsuya Sakurai, Marc Van Barel
2000	J	`jnl`	On Factorization of Analytic Functions and Its Verification. Reliab. Comput. Tetsuya Sakurai, Hiroshi Sugiura
1996	B	`conf`	A Methodology of Parsing Mathematical Notation for Mathematical Computation. ISSAC Yanjie Zhao, Tetsuya Sakurai, Hiroshi Sugiura, Tatsuo Torii
1992	J	`jnl`	Numerical factorization of a polynomial by rational Hermite interpolation. Numer. Algorithms Tetsuya Sakurai, Hiroshi Sugiura, Tatsuo Torii
1991	J	`jnl`	An iterative method for algebraic equation by Padé approximation. Computing Tetsuya Sakurai, Tatsuo Torii, Hiroshi Sugiura