Yasunori Futamura

About

Yasunori Futamura is an Associate Professor at the Faculty of Engineering, Information and Systems at the University of Tsukuba. His research focuses on high-performance computing, numerical computation, eigenvalue problems, and dimensionality reduction.

Education

• Ph.D. in Engineering, University of Tsukuba, 2014
• M.E. in Engineering, University of Tsukuba, 2011
• B.E. in Information Engineering, University of Tsukuba, 2009
• Associate Degree in Information Engineering, Toyota National College of Technology, 2007

Selected publications

• Modularity Regularized Locality Preserving Projection
• Development of a deep learning-based model to evaluate changes during radiotherapy using cervical cancer digital pathology
• Extraction of local structure differences in silica based on unsupervised learning
• Determination of hyper-parameters in the atomic descriptors for efficient and robust molecular dynamics simulations with machine learning forces
• Quantum Algorithm for Regularized Spectral Clustering
• iLoc-miRNA: extracellular/intracellular miRNA prediction using deep BiLSTM with attention mechanism
• Extracellular vesicles derived from Wharton's Jelly mesenchymal stem cells inhibit the tumor environment via the miR-125b/HIF1α signaling pathway
• Multiview network embedding for drug-target Interactions prediction by consistent and complementary information preserving
• Flexible subspace iteration with moments for an effective contour integration‐based eigensolver
• Structural analysis based on unsupervised learning: Search for a characteristic low-dimensional space by local structures in atomistic simulations