
Qibin Zhao (Ph.D.)
Title
Team Leader
Members
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Team leaderQibin Zhao
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Research scientistChao Li
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Postdoctoral researcherAndong Wang
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Postdoctoral researcherMingyuan Bai
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InternYuyuan Yu
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InternHaonan Huang
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Senior visiting scientistA Cichocki
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Senior visiting scientistJian-ting Cao
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Visiting scientistToshihisa Tanaka
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Visiting scientistCesar Caiafa
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Visiting scientistTatsuya Yokota
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Visiting scientistMotoaki Kawanabe
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Visiting scientistXuyang Zhao
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Visiting scientistJianfu Zhang
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Visiting scientistReinmar Kobler
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Visiting scientistKeping Yu
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International Program AssociateTenghui Li
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International Program AssociateYichun Qiu
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International Program AssociateJunhua Zeng
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Junior research associateLinfeng Sui
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Junior research associateZerui Tao
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Junior research associateGuang Lin
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Part-time worker IHuidong Jiang
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Part-time worker IIJinyu Gu
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Part-time worker IIDerun Zhou
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Part-time worker IIVishal Chauhan
Introduction

We study various tensor-based machine learning technologies, e.g., tensor decomposition, multilinear latent variable model, tensor regression and classification, tensor networks, deep tensor learning, and Bayesian tensor learning, with aim to facilitate the learning from high-order structured data or large-scale latent space. Our goal is to develop innovative, scalable and efficient tensor learning algorithms supported by theoretical principles. The novel applications in computer vision and brain data analysis will also be explored to provide new insights into tensor learning methods.
Main Research Field
Computer Science
Research Field
Engineering / Neuroscience & Behavior / Mathematics
Research Subjects
Tensor Decomposition and Tensor Networks
Bayesian Tensor Learning
Deep Tensor Learning
Bayesian Tensor Learning
Deep Tensor Learning
Laboratory Website URL
RIKEN Website URL
Introduction Video
Poster(s)
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