Qibin Zhao (Ph.D.)
Title
Team Director
Members
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Team directorQibin 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 researcherZerui Tao
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Postdoctoral researcherMingyuan Bai
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Postdoctoral researcherHaonan 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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International Program AssociateTenghui Li
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International Program AssociateDongping Zhang
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Student traineeYunsong Deng
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Student traineeHangjie Yi
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Junior research associateGuang Lin
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Part-time worker IYaswitha Gujju
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Part-time worker IPeilin Yang
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Part-time worker IIYuchen Cong
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)
- FY2024 Research Results(PDF 2MB)
- FY2023 Research Results(PDF 1MB)
- FY2022 Research Results(PDF 2.25MB)
- FY2021 Research Results(PDF 1.57MB)
- FY2019 Research Results
- FY2018 Research Results
Research Achievements
Related posts
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posted on October 16, 2024 16:59Seminar
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posted on June 17, 2024 08:48Seminar
posted on May 9, 2024 22:55Information
posted on April 23, 2024 02:14Seminar
posted on April 5, 2024 16:08Information
posted on March 6, 2024 14:08Information
posted on January 23, 2024 17:40Information
posted on December 15, 2023 10:39Information
posted on September 29, 2023 16:37Information
posted on September 25, 2023 20:05Information
posted on July 27, 2023 09:51Seminar
posted on July 4, 2023 02:32Seminar
posted on May 2, 2023 09:42Information
posted on December 25, 2022 18:45Information
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posted on September 27, 2022 19:29Information
posted on May 23, 2022 10:51Information
posted on April 25, 2022 15:23Information
posted on March 7, 2022 16:39Information
posted on January 4, 2022 15:33Seminar
posted on May 24, 2021 14:31Information
posted on May 17, 2021 09:37Seminar
posted on January 29, 2021 13:48Information
posted on January 27, 2021 11:12Information
posted on October 22, 2020 16:53Seminar
posted on July 7, 2020 15:05Information
posted on June 22, 2020 16:28Award
posted on July 16, 2020 15:15Information
posted on December 5, 2019 09:30Information
posted on November 14, 2019 10:44Information
posted on October 17, 2019 11:30Information
posted on September 11, 2019 12:00Information
posted on June 3, 2019 14:20Information
posted on May 21, 2019 09:00Award
posted on May 21, 2019 09:20Award
posted on January 31, 2019 10:46Award
posted on November 16, 2018 17:18Information
posted on October 25, 2018 10:07Information
posted on September 25, 2018 11:09Information
