Tetsuya Sakurai

Tetsuya Sakurai

University of Tsukuba

H-index: 30

Asia-Japan

About Tetsuya Sakurai

Tetsuya Sakurai, With an exceptional h-index of 30 and a recent h-index of 20 (since 2020), a distinguished researcher at University of Tsukuba, specializes in the field of Eigenvalue Problems, Privacy Preserving Machine Learning, Federated Learning, Dimensionality Reduction, Data Collaboration.

His recent articles reflect a diverse array of research interests and contributions to the field:

Extraction of local structure differences in silica based on unsupervised learning

A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens

DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics

Distributed data integration device, distributed data integration method, and program

CLOP-hERG: The Contrastive Learning Optimized Pre-Trained Model for Representation Learning in Predicting Drug-Induced hERG Channel Blockers

Numerical Analysis for Data Relationship

FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery

Multi-party collaborative drug discovery via federated learning

Tetsuya Sakurai Information

University

Position

Director of Center for Artificial Intelligence Research Professor

Citations(all)

3542

Citations(since 2020)

1600

Cited By

2421

hIndex(all)

30

hIndex(since 2020)

20

i10Index(all)

77

i10Index(since 2020)

43

Email

University Profile Page

University of Tsukuba

Google Scholar

View Google Scholar Profile

Tetsuya Sakurai Skills & Research Interests

Eigenvalue Problems

Privacy Preserving Machine Learning

Federated Learning

Dimensionality Reduction

Data Collaboration

Top articles of Tetsuya Sakurai

Title

Journal

Author(s)

Publication Date

Extraction of local structure differences in silica based on unsupervised learning

Physical Chemistry Chemical Physics

Anh Khoa Augustin Lu

Jianbo Lin

Yasunori Futamura

Tetsuya Sakurai

Ryo Tamura

...

2024

A BERT-based model for the prediction of lncRNA subcellular localization in Homo sapiens

International Journal of Biological Macromolecules

Zhao-Yue Zhang

Zheng Zhang

Xiucai Ye

Tetsuya Sakurai

Hao Lin

2024/4/1

DenoiseST: A dual-channel unsupervised deep learning-based denoising method to identify spatial domains and functionally variable genes in spatial transcriptomics

bioRxiv

Yaxuan Cui

Ruheng Wang

Xin Zeng

Yang Cui

Zheyong Zhu

...

2024

Distributed data integration device, distributed data integration method, and program

2024/3/19

CLOP-hERG: The Contrastive Learning Optimized Pre-Trained Model for Representation Learning in Predicting Drug-Induced hERG Channel Blockers

Shida He

Xiucai Ye

Tetsuya Sakurai

2024

Numerical Analysis for Data Relationship

Tetsuya Sakurai

Yasunori Futamura

Akira Imakura

Xiucai Ye

2024/3/14

FIAMol-AB: A feature fusion and attention-based deep learning method for enhanced antibiotic discovery

Computers in Biology and Medicine

Shida He

Xiucai Ye

Lijun Dou

Tetsuya Sakurai

2024/1/1

Multi-party collaborative drug discovery via federated learning

Computers in Biology and Medicine

Dong Huang

Xiucai Ye

Tetsuya Sakurai

2024/2/19

Collaborative causal inference on distributed data

Expert Systems with Applications

Yuji Kawamata

Ryoki Motai

Yukihiko Okada

Akira Imakura

Tetsuya Sakurai

2024/6/15

Estimation of conditional average treatment effects on distributed data: A privacy-preserving approach

arXiv preprint arXiv:2402.02672

Yuji Kawamata

Ryoki Motai

Yukihiko Okada

Akira Imakura

Tetsuya Sakurai

2024/2/5

CodLncScape Provides a Self‐Enriching Framework for the Systematic Collection and Exploration of Coding LncRNAs

Advanced Science

Tianyuan Liu

Huiyuan Qiao

Zixu Wang

Xinyan Yang

Xianrun Pan

...

2024/4/11

DC-COX: Data collaboration Cox proportional hazards model for privacy-preserving survival analysis on multiple parties

Journal of Biomedical Informatics

Akira Imakura

Ryoya Tsunoda

Rina Kagawa

Kunihiro Yamagata

Tetsuya Sakurai

2023/1/1

Quantum Algorithm for Regularized Spectral Clustering

Changzhou Long

Yasunori Futamura

Xiucai Ye

Tetsuya Sakurai

2023/2/17

Mirror variational transport: a particle-based algorithm for distributional optimization on constrained domains

Machine Learning

Dai Hai Nguyen

Tetsuya Sakurai

2023/8

Adaptive learning embedding features to improve the predictive performance of SARS-CoV-2 phosphorylation sites

Bioinformatics

Shihu Jiao

Xiucai Ye

Chunyan Ao

Tetsuya Sakurai

Quan Zou

...

2023/11/1

Molecular language models: RNNs or transformer?

Briefings in Functional Genomics

Yangyang Chen

Zixu Wang

Xiangxiang Zeng

Yayang Li

Pengyong Li

...

2023/7

Development of a Machine Learning Model to Evaluate Changes during Radiotherapy in Cervical Cancer Tumor Cells

International Journal of Radiation Oncology, Biology, Physics

M Goto

Y Futamura

H Makishima

N Sakamoto

T Iijima

...

2023/10/1

LSEC: Large-scale spectral ensemble clustering

Intelligent Data Analysis

Hongmin Li

Xiucai Ye

Akira Imakura

Tetsuya Sakurai

2023/1/1

Distortion-free PCA on sample space for highly variable gene detection from single-cell RNA-seq data

Frontiers of Computer Science

Momo Matsuda

Yasunori Futamura

Xiucai Ye

Tetsuya Sakurai

2023/2

Collaborative analysis for drug discovery by federated learning on non-IID data

Methods

Dong Huang

Xiucai Ye

Ying Zhang

Tetsuya Sakurai

2023/11/1

See List of Professors in Tetsuya Sakurai University(University of Tsukuba)