Tetsuya Sakurai

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 113

Top Venues

Publications

Shida He, Xiucai Ye, Lijun Dou, Tetsuya Sakurai
FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery. Comput. Biol. Medicine 168 (2024)
Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
Toward the Application of Differential Privacy to Data Collaboration. IEEE Access 12 (2024)
Li Wang, Xiangzheng Fu, Jiahao Yang, Xinyi Zhang, Xiucai Ye, Yiping Liu, Tetsuya Sakurai, Xiangxiang Zeng
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor. CoRR (2024)
Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach. CoRR (2024)
Dai Hai Nguyen, Tetsuya Sakurai
Moreau-Yoshida variational transport: a general framework for solving regularized distributional optimization problems. Mach. Learn. 113 (9) (2024)
Wen-Yu Xi, Ruheng Wang, Li Wang, Xiucai Ye, Mingyang Liu, Tetsuya Sakurai
An interpretable deep learning model predicts RNA-small molecule binding sites. Future Gener. Comput. Syst. 159 (2024)
Dong Huang, Xiucai Ye, Tetsuya Sakurai
Multi-party collaborative drug discovery via federated learning. Comput. Biol. Medicine 171 (2024)
Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Collaborative causal inference on distributed data. Expert Syst. Appl. 244 (2024)
Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
DC-SHAP Method for Consistent Explainability in Privacy-Preserving Distributed Machine Learning. Hum. Centric Intell. Syst. 3 (3) (2023)
Yangyang Chen, Zixu Wang, Lei Wang, Jianmin Wang, Pengyong Li, Dongsheng Cao, Xiangxiang Zeng, Xiucai Ye, Tetsuya Sakurai
Deep generative model for drug design from protein target sequence. J. Cheminformatics 15 (1) (2023)
Dai Hai Nguyen, Tetsuya Sakurai, Hiroshi Mamitsuka
Wasserstein Gradient Flow over Variational Parameter Space for Variational Inference. CoRR (2023)
Dai Hai Nguyen, Tetsuya Sakurai
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization Problems. CoRR (2023)
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
SiameseCPP: a sequence-based Siamese network to predict cell-penetrating peptides by contrastive learning. Briefings Bioinform. 24 (1) (2023)
Dai Hai Nguyen, Tetsuya Sakurai
Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains. Mach. Learn. 112 (8) (2023)
Akira Imakura, Ryoya Tsunoda, Rina Kagawa, Kunihiro Yamagata, Tetsuya Sakurai
DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties. J. Biomed. Informatics 137 (2023)
Yifan Shang, Xiucai Ye, Tetsuya Sakurai
Common and Unique Features Learning in Multi-view Network Embedding. IJCNN (2023)
Yifan Shang, Xiucai Ye, Tetsuya Sakurai
Multi-view Network Embedding with Structure and Semantic Contrastive Learning. ICME (2023)
Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. Inf. Fusion 98 (2023)
Xiucai Ye, Yifan Shang, Tianyi Shi, Weihang Zhang, Tetsuya Sakurai
Multi-omics clustering for cancer subtyping based on latent subspace learning. Comput. Biol. Medicine 164 (2023)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
LSEC: Large-scale spectral ensemble clustering. Intell. Data Anal. 27 (1) (2023)
Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
Another use of SMOTE for interpretable data collaboration analysis. Expert Syst. Appl. 228 (2023)
Momo Matsuda, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data. Frontiers Comput. Sci. 17 (1) (2023)
Shihu Jiao, Xiucai Ye, Chunyan Ao, Tetsuya Sakurai, Quan Zou, Lei Xu
Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites. Bioinform. 39 (10) (2023)
Akihiro Mizoguchi, Anna Bogdanova, Akira Imakura, Tetsuya Sakurai
Data Collaboration Analysis applied to Compound Datasets and the Introduction of Projection data to Non-IID settings. CoRR (2023)
Changzhou Long, Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
Quantum Algorithm for Regularized Spectral Clustering. ICMLC (2023)
Fumihiko Nakano, Taizo Sadahiro, Tetsuya Sakurai
Top to random shuffles on colored permutations. Discret. Appl. Math. 339 (2023)
Tianyi Shi, Xiucai Ye, Tetsuya Sakurai
Multi-omics clustering based on interpretable and discriminative features for cancer subtyping. BIBM (2023)
Akira Imakura, Tetsuya Sakurai
Complex moment-based eigensolver coupled with two Krylov subspaces. J. Comput. Appl. Math. 432 (2023)
Mitsuteru Abe, Fabio Henrique Kiyoiti dos Santos Tanaka, Jair Pereira Junior, Anna Bogdanova, Tetsuya Sakurai, Claus Aranha
Using Agent-Based Simulator to Assess Interventions Against COVID-19 in a Small Community Generated from Map Data. AAMAS (2022)
Yuji Kawamata, Ryoki Motai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Collaborative causal inference on distributed data. CoRR (2022)
Hongjia Chen, Ke Zhang, Tetsuya Sakurai
The tropical scaling for the polynomial eigenvalue problem solved by a contour integral method. Numer. Linear Algebra Appl. 29 (2) (2022)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Divide-and-conquer based large-scale spectral clustering. Neurocomputing 501 (2022)
Anna Bogdanova, Akira Imakura, Tetsuya Sakurai, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration. CoRR (2022)
Zhao-Yue Zhang, Lin Ning, Xiucai Ye, Yu-He Yang, Yasunori Futamura, Tetsuya Sakurai, Hao Lin
iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism. Briefings Bioinform. 23 (5) (2022)
Akira Imakura, Masateru Kihira, Yukihiko Okada, Tetsuya Sakurai
Another Use of SMOTE for Interpretable Data Collaboration Analysis. CoRR (2022)
Yifan He, Claus Aranha, Tetsuya Sakurai
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. SSCI (2022)
Dong Huang, Xiucai Ye, Tetsuya Sakurai
Knowledge distillation-based privacy-preserving data analysis. RACS (2022)
Lesong Wei, Xiucai Ye, Tetsuya Sakurai
ToxinMI: improving peptide toxicity prediction by fusing multimodal information based on mutual information. RACS (2022)
Yifan He, Claus Aranha, Tetsuya Sakurai
Knowledge-Driven Program Synthesis via Adaptive Replacement Mutation and Auto-constructed Subprogram Archives. CoRR (2022)
Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai
A study of the privacy perspective on principal component analysis via a realistic attack model. CIS (2022)
Meng Huang, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Sequential reinforcement active feature learning for gene signature identification in renal cell carcinoma. J. Biomed. Informatics 128 (2022)
Akira Imakura, Tetsuya Sakurai, Yukihiko Okada, Tomoya Fujii, Teppei Sakamoto, Hiroyuki Abe
Non-readily identifiable data collaboration analysis for multiple datasets including personal information. CoRR (2022)
Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. Numer. Linear Algebra Appl. 29 (6) (2022)
Takumi Yamashita, Tetsuya Sakurai
A parallel computing method for the higher order tensor renormalization group. Comput. Phys. Commun. 278 (2022)
Lesong Wei, Xiucai Ye, Tetsuya Sakurai, Zengchao Mu, Leyi Wei
ToxIBTL: prediction of peptide toxicity based on information bottleneck and transfer learning. Bioinform. 38 (6) (2022)
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
NerLTR-DTA: drug-target binding affinity prediction based on neighbor relationship and learning to rank. Bioinform. 38 (7) (2022)
Yitao Yang, Xiucai Ye, Tetsuya Sakurai
Multi-View Federated Learning with Data Collaboration. ICMLC (2022)
Dai Hai Nguyen, Tetsuya Sakurai
A Particle-Based Algorithm for Distributional Optimization on \textit{Constrained Domains} via Variational Transport and Mirror Descent. CoRR (2022)
Yifan Shang, Xiucai Ye, Yasunori Futamura, Liang Yu, Tetsuya Sakurai
Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving. Briefings Bioinform. 23 (3) (2022)
Yifan He, Claus Aranha, Tetsuya Sakurai
Incorporating sub-programs as knowledge in program synthesis by PushGP and adaptive replacement mutation. GECCO Companion (2022)
Yasunori Futamura, Tetsuya Sakurai
Efficient Contour Integral-based Eigenvalue Computation Using an Iterative Linear Solver with Shift-Invert Preconditioning. HPC Asia (2021)
Yuta Kobayashi, Claus Aranha, Tetsuya Sakurai
Dynamic adaptation of decomposition vector set size for MOEA/D. GECCO Companion (2021)
Kotaro Sakamoto, Keiichi Morikuni, Tetsuya Sakurai, Sumire Matsumoto, Kaspar Vogt
Online Spectral Classification for Long-Term Spike Sorting. ICMHI (2021)
Yuta Takahashi, Hanten Chang, Akie Nakai, Rina Kagawa, Hiroyasu Ando, Akira Imakura, Yukihiko Okada, Hideo Tsurushima, Kenji Suzuki, Tetsuya Sakurai
Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes. SN Comput. Sci. 2 (4) (2021)
Lesong Wei, Xiucai Ye, Yuyang Xue, Tetsuya Sakurai, Leyi Wei
ATSE: a peptide toxicity predictor by exploiting structural and evolutionary information based on graph neural network and attention mechanism. Briefings Bioinform. 22 (5) (2021)
Akira Imakura, Anna Bogdanova, Takaya Yamazoe, Kazumasa Omote, Tetsuya Sakurai
Accuracy and Privacy Evaluations of Collaborative Data Analysis. CoRR (2021)
Akira Imakura, Tetsuya Sakurai
Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets. CoRR (2021)
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. ACML (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Divide-and-conquer based Large-Scale Spectral Clustering. CoRR (2021)
Yasunori Futamura, Xiucai Ye, Tetsuya Sakurai
Contour Integral-based Quantum Algorithm for Estimating Matrix Eigenvalue Density. CoRR (2021)
Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai
Spectral Clustering Joint Deep Embedding Learning by Autoencoder. IJCNN (2021)
Xiaoqing Ru, Xiucai Ye, Tetsuya Sakurai, Quan Zou
Application of learning to rank in bioinformatics tasks. Briefings Bioinform. 22 (5) (2021)
Yasunori Futamura, Ryota Wakaki, Tetsuya Sakurai
Spectral Graph Partitioning Using Geodesic Distance-based Projection. HPEC (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
LSEC: Large-scale spectral ensemble clustering. CoRR (2021)
Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
Interpretable collaborative data analysis on distributed data. Expert Syst. Appl. 177 (2021)
Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace. HPC Asia (2021)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Hubness-based Sampling Method for Nyström Spectral Clustering. IJCNN (2020)
Jair Pereira Junior, Claus Aranha, Tetsuya Sakurai
A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design. CEC (2020)
Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. PKAW (2020)
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
An oversampling framework for imbalanced classification based on Laplacian eigenmaps. Neurocomputing 399 (2020)
Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka
Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. PKAW (2020)
Akira Imakura, Hiroaki Inaba, Yukihiko Okada, Tetsuya Sakurai
Interpretable collaborative data analysis on distributed data. CoRR (2020)
Xiucai Ye, Weihang Zhang, Tetsuya Sakurai
Adaptive Unsupervised Feature Learning for Gene Signature Identification in Non-Small-Cell Lung Cancer. IEEE Access 8 (2020)
Sarah Huber, Yasunori Futamura, Martin Galgon, Akira Imakura, Bruno Lang, Tetsuya Sakurai
Flexible subspace iteration with moments for an effective contour integration-based eigensolver. CoRR (2020)
Yifan He, Claus Aranha, Tetsuya Sakurai
Parameter Evolution Self-Adaptive Strategy and Its Application for Cuckoo Search. BIOMA (2020)
Anna Bogdanova, Akie Nakai, Yukihiko Okada, Akira Imakura, Tetsuya Sakurai
Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations. CoRR (2020)
Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai
Ensemble Learning for Spectral Clustering. ICDM (2020)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. Intell. Data Anal. 24 (6) (2020)
Momo Matsuda, Keiichi Morikuni, Akira Imakura, Xiucai Ye, Tetsuya Sakurai
Multiclass spectral feature scaling method for dimensionality reduction. CoRR (2019)
Hongjia Chen, Jie Meng, Tetsuya Sakurai, Xiang Wang
Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem. Numer. Linear Algebra Appl. 26 (4) (2019)
Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai
Distributed Collaborative Feature Selection Based on Intermediate Representation. IJCAI (2019)
Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai
Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. AAAI (2019)
Akira Imakura, Tetsuya Sakurai
Data collaboration analysis for distributed datasets. CoRR (2019)
Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai
Using diversity as a priority function for resource allocation on MOEA/D. GECCO (Companion) (2019)
Lei Du, Akira Imakura, Tetsuya Sakurai
Simultaneous band reduction of two symmetric matrices. Comput. Math. Appl. 77 (8) (2019)
Haruka Yamada, Akira Imakura, Toshiyuki Imamura, Tetsuya Sakurai
Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing. IPDPS Workshops (2018)
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Spectral feature scaling method for supervised dimensionality reduction. CoRR (2018)
Xiucai Ye, Hongmin Li, Tetsuya Sakurai, Zhi Liu
Large Scale Spectral Clustering Using Sparse Representation Based on Hubness. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI (2018)
Yuri Cossich Lavinas, Claus Aranha, Tetsuya Sakurai, Marcelo Ladeira
Experimental Analysis of the Tournament Size on Genetic Algorithms. SMC (2018)
Akira Imakura, Tetsuya Sakurai
Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure. Parallel Comput. 74 (2018)
Yusei Miura, Tetsuya Sakurai, Claus Aranha, Toshiya Senda, Ryuichi Kato, Yusuke Yamada
Classification of X-Ray Protein Crystallization Using Deep Convolutional Neural Networks with a Finder Module. CoRR (2018)
Takahiro Yano, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai
Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems. JSIAM Lett. 10 (2018)
Xiucai Ye, Tetsuya Sakurai
Spectral clustering with adaptive similarity measure in Kernel space. Intell. Data Anal. 22 (4) (2018)
Xiucai Ye, Tetsuya Sakurai
Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning. J. Univers. Comput. Sci. 24 (6) (2018)
Momo Matsuda, Keiichi Morikuni, Tetsuya Sakurai
Spectral Feature Scaling Method for Supervised Dimensionality Reduction. IJCAI (2018)
Akira Imakura, Yuto Inoue, Tetsuya Sakurai, Yasunori Futamura
Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks. Neural Process. Lett. 47 (3) (2018)
Haruka Yamada, Akira Imakura, Tetsuya Sakurai
Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition. JSIAM Lett. 10 (2018)
Akira Imakura, Yasunori Futamura, Tetsuya Sakurai
Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. PPAM (1) (2017)
Xiucai Ye, Tetsuya Sakurai
Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis. ICMHI (2017)
Akira Imakura, Tetsuya Sakurai
Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems. Numer. Algorithms 75 (2) (2017)

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Publication Activity (10 Years)

Top Topics

Top Venues

Tetsuya Sakurai