ZHAO QIBIN ZHAO QIBIN

Researcher Number	30599618
Other IDs
Affiliation *help	2017 : 国立研究開発法人理化学研究所, 革新知能統合研究センター, ユニットリーダー 2015 – 2016 : 国立研究開発法人理化学研究所, 脳科学総合研究センター, 研究員 2013 : 独立行政法人理化学研究所, 脳科学総合研究センター, 研究員 2012 : 独立行政法人理化学研究所, その他部局等, 研究員 2012 : 独立行政法人理化学研究所, 脳信号処理研究チーム, 研究員 2010 : 国立研究開発法人理化学研究所, 革新知能統合研究センター, ユニットリーダー
Review Section/Research Field	Principal Investigator Intelligent informatics / Intelligent informatics / Statistical science
Keywords	Principal Investigator Kernel machines / Tensor Factorization / Image Completion / Robust Factorization / Tensor Completion / Tensor Networks / Deep Learning / Brain computer interface / EEG Hyperscanning / Bayesian inference … More

High-Order Deep Learning Models: Theoretical Study and ApplicationsPrincipal InvestigatorOngoing
- Principal Investigator
  
  ZHAO QIBIN
- Project Period (FY)
  2017 – 2019
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Research Field
  
  Intelligent informatics
- Research Institution
  Institute of Physical and Chemical Research
Bayesian Tensor Models for Multiway Structural Data: A Theoretical Study and ApplicationsPrincipal Investigator
- Principal Investigator
  
  Zhao Qibin
- Project Period (FY)
  2015 – 2016
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Statistical science
- Research Institution
  Institute of Physical and Chemical Research
Multilinear Subspace Regression and Its Application in BCI.Principal Investigator
- Principal Investigator
  
  ZHAO QIBIN
- Project Period (FY)
  2012 – 2013
- Research Category
  
  Grant-in-Aid for Young Scientists (B)
- Research Field
  
  Intelligent informatics
- Research Institution
  Institute of Physical and Chemical Research

All 2016 2015 2014 2013 2012

All Journal Article Presentation Book

[Book] Book Chapter in Brain-Computer Interface Research, An affective BCI using multiple ERP components associated to facial emotion processin2013
- Author(s)
  Q. Zhao, A. Onishi, Y. Zhang, and A. Cichocki
- Total Pages
  123
- Publisher
  Springer Berlin Heldelberg
- Data Source
  KAKENHI-PROJECT-24700154
[Book] An affective BCI using multiple ERPcomponents associated to facial emotion processing. In Brain-Computer Interface Research2013
- Author(s)
  Q. Zhao, A. Onishi, Y. Zhang, and A. Cichocki
- Total Pages
  12
- Publisher
  Springer Berlin Heidelberg
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Smooth PARAFAC Decomposition for Tensor Completion2016
- Author(s)
  Tatsuya Yokota, Qibin Zhao, Andrzej Cichocki
- Journal Title
  
  IEEE Transactions on Signal Processing
  
  Volume : 64 Pages : 5423-5436
- Peer Reviewed / Open Access / Acknowledgement Compliant
- Data Source
  KAKENHI-PROJECT-15K15955, KAKENHI-PROJECT-15K16067
[Journal Article] Bayesian robust tensor factorization for incomplete multiway data.2016
- Author(s)
  Qibin Zhao, Guoxu Zhou, Liqing Zhang, and Andrzej Cichocki
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume : 27 Pages : 736-748
- Peer Reviewed / Open Access / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15955, KAKENHI-PROJECT-26730125
[Journal Article] Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data2016
- Author(s)
  G Zhou, Q Zhao, Y Zhang, T Adali;, S Xie, A Cichocki
- Journal Title
  
  Proceedings of the IEEE
  
  Volume : 104 Pages : 310-331
- Peer Reviewed / Open Access / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730125, KAKENHI-PROJECT-15K15955
[Journal Article] Sparse Bayesian Classification of EEG for Brain-Computer Interface2016
- Author(s)
  Y Zhang, G Zhou, J Jin, Q Zhao, X Wang, A Cichocki
- Journal Title
  
  IEEE Transactions on Neural Networks and Learning Systems
  
  Volume : 印刷中 Pages : 2256-2267
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-26730125, KAKENHI-PROJECT-15K15955
[Journal Article] Uncorrelated Multiway Discriminant Analysis for Motor Imagery EEG Classification2015
- Author(s)
  Ye Liu, Qibin Zhao, Liqing Zhang
- Journal Title
  
  International Journal of Neural Systems
  
  Volume : 25
- Peer Reviewed / Open Access / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15955
[Journal Article] Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness2015
- Author(s)
  Guoxu Zhou, Andrzej Cichocki, Qibin Zhao and Shengli Xie
- Journal Title
  
  IEEE Transactions on Image Processing
  
  Volume : 24 Pages : 4990-5003
- Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15955, KAKENHI-PROJECT-26730125
[Journal Article] Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface2014
- Author(s)
  Y. Zhang, G. Zhou, J. Jin, Q. Zhao, X. Wang, and A. Cichocki
- Journal Title
  
  International Journal of Neural Systems
  
  Volume : 24(1) Pages : 1450003-1450003
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Multilinear and nonlinear generalizations of partial least squares : an overview of recent advances2014
- Author(s)
  Q. Zhao, L. Zhang, and A. Cichocki
- Journal Title
  
  WIREs Data Mining and Knowledge Discovery
  
  Volume : Vol.4 Pages : 104-115
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Multi-domain feature extraction for small event-related potentials through nonnegtive multi-way array decomposition from low dense array EEG2013
- Author(s)
  F. Cong, A. Phan, P. Astikainen, Q. Zhao, Q. Wu, J. Hietanen, T. Ristaniemi, and A. Cichocki
- Journal Title
  
  International Journal of Neural Systems
  
  Volume : 23(2) Pages : 1350006-1350006
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Kernerlization of tensorbased models for multiway data analysis2013
- Author(s)
  Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki
- Journal Title
  
  IEEE Signal Processing Magazine
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Higher-order partial least squares (HOPLS): A generalized multi-linear regression method2013
- Author(s)
  Q. Zhao, C.F. Caiafa, D.P. Mandic, Z.C. Chao, Y. Nagasaka, N. Fujii, L. Zhang, and A. Cichocki
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Kernerlization of tensor based models for multiway data analysis2013
- Author(s)
  Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki
- Journal Title
  
  IEEE Signal Processing Magazine
  
  Volume : Vol.30, No.4 Pages : 137-148
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Journal Article] Higher-order partial least squares (HOPLS) : A generalized multi-linear regression method2013
- Author(s)
  Q. Zhao, C.F. Caiafa, D.P. Mandic, Z. C. Chao, Y. Nagasaka, N. Fujii, L. Zhang, and A. Cichocki
- Journal Title
  
  IEEE Transactions on Pattern Analysis and Machine Intelligence
  
  Volume : Vol.35, No.7 Pages : 1660-1673
- Peer Reviewed
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] EEG COMPLETION VIA BAYESIAN TENSOR FACTORIZATION FOR BRAIN-COMPUTER INTERFACE2016
- Author(s)
  Yu Zhang, Qibin Zhao, Guoxu Zhou, Jing Jin, Xinyu Wang, Andrzej Cichocki
- Organizer
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
- Place of Presentation
  Shanghai, China
- Year and Date
  2016-03-20
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15955
[Presentation] Common and Discriminative Subspace Kernel-based Multiblock Tensor Partial Least Squares Regression2016
- Author(s)
  Ming Hou, Qibin Zhao, Brahim Chaib-draa and Andrzej Cichocki
- Organizer
  Proceedings of the 30th AAAI Conference on Articial Intelligence
- Place of Presentation
  Phoenix, Arizona USA
- Year and Date
  2016-02-12
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15955
[Presentation] Tensor Denoising Using Bayesian CP Factorization2016
- Author(s)
  Lihua Gui, Qibin Zhao, and Jianting Cao
- Organizer
  The Sixth International Conference on Information Science and Technology (ICIST 2016)
- Place of Presentation
  Dalian, China
- Year and Date
  2016-05-06
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-15K15955
[Presentation] Tensor-variate Gaussian processes regression and its application to video surveillance2014
- Author(s)
  Q. Zhao, G. Zhou, L. Zhang, and A. Cichocki
- Organizer
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Place of Presentation
  Florence, Italy
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Tensor-variate Gaussian processes regression and its application to video surveillance2014
- Author(s)
  Q. Zhao, G. Zhou, L. Zhang, and A. Cichocki
- Organizer
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Place of Presentation
  Florence, Italy
- Year and Date
  2014-05-06
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] A tensor-variate Gaussian process for classification of multidimensional structured data2013
- Author(s)
  Q. Zhao, L. Zhang, and A. Cichocki
- Organizer
  The Twenty-Seventh AAAI Conference on Artificial Intelligence
- Place of Presentation
  Bellevue, Washington, USA
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Kernel-based partial least squares for reconstruction of limb movements2013
- Author(s)
  Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki
- Organizer
  IEEE International Conference on Acoustics, Speech, and Signal Processing
- Place of Presentation
  Vancouver, Canada
- Year and Date
  2013-05-26
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Tensor-based machine learning : modeling, algorithm and applications2013
- Author(s)
  Q. Zhao
- Organizer
  IEICE Technical Committee on Signal Processing (Invited Talk)
- Place of Presentation
  Tokyo, Japan
- Year and Date
  2013-08-29
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] A tensor-variate Gaussian process for classification of multidimensional structured data2013
- Author(s)
  Q. Zhao, L. Zhang, and A. Cichocki
- Organizer
  The Twenty-Seventh AAAI Conference on Artificial Intelligence
- Place of Presentation
  Bellevue, USA
- Year and Date
  2013-07-14
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Kernel-based tensor partial least squares for reconstruction of limb movements2013
- Author(s)
  Q. Zhao, G. Zhou, T. Adali, L. Zhang, and A. Cichocki
- Organizer
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
- Place of Presentation
  Vancouver, Canada
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Tensor-based machine learning: modeling, algorithms and applications2013
- Author(s)
  Q. Zhao
- Organizer
  IEICE Technical Committee on Signal Processing
- Place of Presentation
  東京農工大学, Tokyo, Japan
- Invited
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Patients’ consciousness analysis using dynamic approximate entropy and MEMD method2013
- Author(s)
  G. Cui, Y. Yin, Q. Zhao, A. Cichocki, and J. Cao
- Organizer
  Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA)
- Place of Presentation
  Kaohsiung, Tanwan
- Data Source
  KAKENHI-PROJECT-24700154
[Presentation] Higher-order PLS for classification of ERPs with application to BCIs2012
- Author(s)
  Q. Zhao, L. Zhang, J. Cao, and A. Cichocki
- Organizer
  2012 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPAASC)
- Place of Presentation
  Hollywood, California, USA
- Data Source
  KAKENHI-PROJECT-24700154

1. 曹建庭 (20306989)

# of Collaborated Projects : 1results

# of Collaborated Products : 0results
2. ZHOU GUOXU

# of Collaborated Projects : 0results

# of Collaborated Products : 4results
3. 横田達也

# of Collaborated Projects : 0results

# of Collaborated Products : 1results

ZHAO QIBIN ZHAO QIBIN

Research Projects

Research Products

Co-Researchers

High-Order Deep Learning Models: Theoretical Study and ApplicationsPrincipal InvestigatorOngoing

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Bayesian Tensor Models for Multiway Structural Data: A Theoretical Study and ApplicationsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

Multilinear Subspace Regression and Its Application in BCI.Principal Investigator

Principal Investigator

Project Period (FY)

Research Category

Research Field

Research Institution

[Book] Book Chapter in Brain-Computer Interface Research, An affective BCI using multiple ERP components associated to facial emotion processin2013

Author(s)

Total Pages

Publisher

Data Source

[Book] An affective BCI using multiple ERPcomponents associated to facial emotion processing. In Brain-Computer Interface Research2013

Author(s)

Total Pages

Publisher

Data Source

[Journal Article] Smooth PARAFAC Decomposition for Tensor Completion2016

Author(s)

Journal Title

Data Source

[Journal Article] Bayesian robust tensor factorization for incomplete multiway data.2016

Author(s)

Journal Title

Data Source

[Journal Article] Linked Component Analysis from Matrices to High Order Tensors: Applications to Biomedical Data2016

Author(s)

Journal Title

Data Source

[Journal Article] Sparse Bayesian Classification of EEG for Brain-Computer Interface2016

Author(s)

Journal Title

Data Source

[Journal Article] Uncorrelated Multiway Discriminant Analysis for Motor Imagery EEG Classification2015

Author(s)

Journal Title

Data Source

[Journal Article] Efficient Nonnegative Tucker Decompositions: Algorithms and Uniqueness2015

Author(s)

Journal Title

Data Source

[Journal Article] Aggregation of sparse linear discriminant analyses for event-related potential classification in brain-computer interface2014

Author(s)

Journal Title

Data Source

[Journal Article] Multilinear and nonlinear generalizations of partial least squares : an overview of recent advances2014

Author(s)

Journal Title

Data Source

[Journal Article] Multi-domain feature extraction for small event-related potentials through nonnegtive multi-way array decomposition from low dense array EEG2013

Author(s)

Journal Title

Data Source

[Journal Article] Kernerlization of tensorbased models for multiway data analysis2013

Author(s)

Journal Title

Data Source

[Journal Article] Higher-order partial least squares (HOPLS): A generalized multi-linear regression method2013

Author(s)

Journal Title

Data Source

[Journal Article] Kernerlization of tensor based models for multiway data analysis2013

Author(s)

Journal Title

Data Source