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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Special postdoctoral researcherYuning Qiu
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Postdoctoral researcherAndong Wang
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Postdoctoral researcherMingyuan Bai
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Postdoctoral researcherYicong He
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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 scientistJianfu Zhang
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Visiting scientistReinmar Kobler
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International Program AssociateTenghui Li
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International Program AssociateYichun Qiu
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International Program AssociateWanqi Zhou
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International Program AssociateHailin Wang
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InternHaonan Huang
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InternJunhua Zeng
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InternJinliang Xiao
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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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Junior research associateDucthien Nguyen
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Part-time worker IHuidong Jiang
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)
- FY2023 Research Results(PDF 1MB)
- FY2022 Research Results(PDF 2.25MB)
- FY2021 Research Results(PDF 1.57MB)
- FY2019 Research Results
- FY2018 Research Results
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