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Zhao Qibin  ZHAO QIBIN

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ZHAO QIBIN  ZHAO QIBIN

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Researcher Number 30599618
Other IDs
Affiliation (Current) 2022: 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, チームリーダー
Affiliation (based on the past Project Information) *help 2020 – 2022: 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, チームリーダー
2017 – 2020: 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, 脳信号処理研究チーム, 研究員
Review Section/Research Field
Principal Investigator
Intelligent informatics / Statistical science / Intelligent informatics / Basic Section 61030:Intelligent informatics-related
Except Principal Investigator
Basic Section 61010:Perceptual information processing-related
Keywords
Principal Investigator
Machine Learning / Tensor networks / Tensor Networks / Machine learning / Tensor analysis / Kernel machines / Brain computer interface / Brain signal processing / Bayesian inference / EEG Hyperscanning … More / Tensor Factorization / Missing Data / Tensor Completion / Robust Factorization / Bayesian Inference / Tensor Denoising / Image Completion / Image Denoising / Tensor decomposition / Multi-modal learning / Tensor completion / Tensor Ring / Deep Multimodal Learning / Tensor ring / Deep multi-task learning / Deep neural network / PU learning / GAN / Tensor Decomposition / Deep Learning / Robustness … More
Except Principal Investigator
テンソルネットワーク分解 / ランク推定 / 数理最適化 / 数値最適化 Less
  • Research Projects

    (5 results)
  • Research Products

    (59 results)
  • Co-Researchers

    (6 People)
  •  Rank estimation and optimization methods for tensor network decomposition, and its applications

    • Principal Investigator
      横田 達也
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61010:Perceptual information processing-related
    • Research Institution
      Nagoya Institute of Technology
  •  Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms DevelopmentPrincipal Investigator

    • Principal Investigator
      ZHAO QIBIN
    • Project Period (FY)
      2020 – 2023
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 61030:Intelligent informatics-related
    • Research Institution
      Institute of Physical and Chemical Research
  •  High-Order Deep Learning Models: Theoretical Study and ApplicationsPrincipal Investigator

    • 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 2020 2019 2018 2017 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] Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation2019

    • Author(s)
      W. He, N. Yokoya, L. Yuan, and Q. Zhao
    • Journal Title

      IEEE Transactions on Geoscience and Remote Sensing

      Volume: 57 Pages: 8998-9009

    • DOI

      10.1109/tgrs.2019.2924017

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K18067, KAKENHI-PROJECT-19K20308, KAKENHI-PROJECT-17K00326
  • [Journal Article] High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format.2019

    • Author(s)
      Yuan Longhao、Zhao Qibin、Gui Lihua、Cao Jianting
    • Journal Title

      Signal Processing: Image Communication: Special Issue on Tensor Image Processing

      Volume: 73 Pages: 53-61

    • DOI

      10.1016/j.image.2018.11.012

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K00326, KAKENHI-PROJECT-18K04178
  • [Journal Article] Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion2019

    • Author(s)
      Longhao Yuan, Chao Li, Jianting Cao and Qibin Zhao
    • Journal Title

      Machine Learning

      Volume: 109 Pages: 603-622

    • DOI

      10.1007/s10994-019-05846-7

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K04178, KAKENHI-PROJECT-17K00326
  • [Journal Article] Multidimensional clinical data denoising via Bayesian CP factorization2019

    • Author(s)
      Cui Gaochao, Zhu Li, Gui Lihua, Zhao Qibin, Zhang Jianhai, Cao Jianting
    • Journal Title

      Science China Technological Sciences

      Volume: 62 Pages: 1-10

    • DOI

      10.1007/s11431-018-9493-9

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K04178, KAKENHI-PROJECT-17K00326
  • [Journal Article] Non-local Image Denoising by Using Bayesian Low-rank Tensor Factorization on High-order Patches2018

    • Author(s)
      L. Gui, X. Zhao, Q. Zhao, and J. Cao.
    • Journal Title

      International Journal of Computer Science Issues

      Volume: 15 Pages: 9-16

    • DOI

      10.5281/ZENODO.1467648

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K00326, KAKENHI-PROJECT-18K04178
  • [Journal Article] Two-Stage Frequency Recognition Method Based on Correlated Component Analysis for SSVEP-Based BCI2018

    • Author(s)
      Zhang Yangsong、Yin Erwei、Li Fali、Zhang Yu、Tanaka Toshihisa、Zhao Qibin、Cui Yan、Xu Peng、Yao Dezhong、Guo Daqing
    • Journal Title

      IEEE Transactions on Neural Systems and Rehabilitation Engineering

      Volume: 26 Pages: 1314-1323

    • DOI

      10.1109/tnsre.2018.2848222

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Journal Article] Image and Video Completion by Using Bayesian Tensor Decomposition2018

    • Author(s)
      L. Gui, X. Zhao, Q. Zhao, and J. Cao.
    • Journal Title

      International Journal of Computer Science Issues

      Volume: 15 Pages: 1-8

    • DOI

      10.5281/ZENODO.1467644

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-17K00326, KAKENHI-PROJECT-18K04178
  • [Journal Article] Brain-Computer Interface with Corrupted EEG Data: a Tensor Completion Approach2018

    • Author(s)
      Sole-Casals J.、Caiafa C. F.、Zhao Q.、Cichocki A.
    • Journal Title

      Cognitive Computation

      Volume: 10 Pages: 1062-1074

    • DOI

      10.1007/s12559-018-9574-9

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Journal Article] Correlated Component Analysis for Enhancing the Performance of SSVEP-Based Brain-Computer Interface2018

    • Author(s)
      Zhang Yangsong、Guo Daqing、Li Fali、Yin Erwei、Zhang Yu、Li Peiyang、Zhao Qibin、Tanaka Toshihisa、Yao Dezhong、Xu Peng
    • Journal Title

      IEEE Transactions on Neural Systems and Rehabilitation Engineering

      Volume: 26 Pages: 948-956

    • DOI

      10.1109/tnsre.2018.2826541

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Journal Article] Feature Extraction for Incomplete Data Via Low-Rank Tensor Decomposition With Feature Regularization2018

    • Author(s)
      Shi Qiquan、Cheung Yiu-Ming、Zhao Qibin、Lu Haiping
    • Journal Title

      IEEE Transactions on Neural Networks and Learning Systems

      Volume: x Pages: 1-15

    • DOI

      10.1109/tnnls.2018.2873655

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Journal Article] Completion of High Order Tensor Data with Missing Entries via Tensor-Train Decomposition2017

    • Author(s)
      Yuan Longhao、Zhao Qibin、Cao Jianting
    • Journal Title

      24th International Conference on Neural Information Processing, Lecture Notes in Computer Science

      Volume: 10634 Pages: 222-229

    • DOI

      10.1007/978-3-319-70087-8_24

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326, KAKENHI-PROJECT-15H04002
  • [Journal Article] Feature Extraction for Incomplete Data via Low-rank Tucker Decomposition2017

    • Author(s)
      Shi Qiquan、Cheung Yiu-ming、Zhao Qibin
    • Journal Title

      Lecture Notes in Computer Science

      Volume: 10534 Pages: 564-581

    • DOI

      10.1007/978-3-319-71249-9_34

    • Peer Reviewed / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [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

    • DOI

      10.1109/tnnls.2015.2476656

    • Peer Reviewed / Acknowledgement Compliant / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26730125, KAKENHI-PROJECT-15K15955
  • [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

    • DOI

      10.1109/jproc.2015.2474704

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-26730125, KAKENHI-PROJECT-15K15955
  • [Journal Article] Bayesian Robust Tensor Factorization for Incomplete Multiway Data2016

    • 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

    • DOI

      10.1109/tnnls.2015.2423694

    • Peer Reviewed / Acknowledgement Compliant / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-15K15955, KAKENHI-PROJECT-26730125
  • [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

    • DOI

      10.1109/tsp.2016.2586759

    • Peer Reviewed / Acknowledgement Compliant / Open Access
    • Data Source
      KAKENHI-PROJECT-15K15955, KAKENHI-PROJECT-15K16067
  • [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

    • DOI

      10.1142/s0129065715500136

    • Peer Reviewed / Acknowledgement Compliant / Open Access / 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

    • DOI

      10.1109/tip.2015.2478396

    • 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

    • DOI

      10.1142/s0129065714500038

    • 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

    • DOI

      10.1002/widm.1120

    • 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

    • DOI

      10.1142/s0129065713500068

    • 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

      Volume: Vol.35, No.7 Pages: 1660-1673

    • DOI

      10.1109/tpami.2012.254

    • 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

    • DOI

      10.1109/msp.2013.2255334

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-24700154
  • [Presentation] Classification of Epileptic IEEG Signals by CNN and Data Augmentation2020

    • Author(s)
      Xuyang Zhao, Jordi Sole-Casals, Binghua Li, Zihao Huang, Andong Wang, Jianting Cao
    • Organizer
      IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Beyond unfolding: Exact recovery of latent convex tensor decomposition under reshuffling2020

    • Author(s)
      Chao Li, Mohammad Emtiyaz Khan, Zhun Sun, Gang Niu, Bo Han, Shengli Xie, Qibin Zhao
    • Organizer
      Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms2020

    • Author(s)
      Andong Wang, Chao Li, Zhong Jin, Qibin Zhao
    • Organizer
      Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Learning efficient tensor representa- tions with ring structure networks2019

    • Author(s)
      Qibin Zhao, Masashi Sugiyama, Longhao Yuan, Andrzej Cichocki
    • Organizer
      EEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] A One-Dimensional Convolutional Neural Network Model for Automated Localization of Epileptic Foci2019

    • Author(s)
      Boning Li ; Xuyang Zhao ; Qibin Zhao ; Toshihisa Tanaka ; Jianting Cao
    • Organizer
      Signal and Information Processing Association Annual Summit and Conference (APSIPA)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Localization of Epileptic Foci by Using Convolutional Neural Network Based on iEEG2019

    • Author(s)
      Linfeng Sui, Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao
    • Organizer
      IFIP International Conference on Artificial Intelligence Applications and Innovations
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Randomized Tensor Ring Decomposition and Its Application to Large-scale Data Reconstruction2019

    • Author(s)
      Longhao Yuan, Chao Li, Jianting Cao, Qibin Zhao
    • Organizer
      IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion2019

    • Author(s)
      Longhao Yuan, Chao Li, Danilo Mandic, Jianting Cao, Qibin Zhao
    • Organizer
      Proceedings of the AAAI Conference on Artificial Intelligence (AAAI)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Quasi-brain-death eeg diagnosis based on tensor train decomposition2019

    • Author(s)
      Qipeng ChenLonghao YuanYao MiaoQibin ZhaoToshihisa TanakaJianting Cao
    • Organizer
      International Symposium on Neural Networks
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Deep multimodal multilinear fusion with high-order polynomial pooling2019

    • Author(s)
      Ming Hou, Jiajia Tang, Jianhai Zhang, Wanzeng Kong, Qibin Zhao
    • Organizer
      Advances in Neural Information Processing Systems 32 (NIPS 2019)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Low-rank Embedding of Kernels in Convolutional Neural Networks under Random Shuffling2019

    • Author(s)
      Chao Li, Zhun Sun, Jinshi Yu, Ming Hou, Qibin Zhao
    • Organizer
      IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Guaranteed Matrix Completion under Multiple Linear Transformations2019

    • Author(s)
      Chao Li ; Wei He ; Longhao Yuan ; Zhun Sun ; Qibin Zhao
    • Organizer
      IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] TGAN: TENSORIZING GENERATIVE ADVERSARIAL NETS2018

    • Author(s)
      Xingwei Cao, Xuyang Zhao, Qibin Zhao
    • Organizer
      The Third International Conference On Consumer Electronics (ICCE) Asia
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] A Hybrid Brain Computer Interface Based on Audiovisual Stimuli P3002018

    • Author(s)
      Xuyang Zhao, Gaochao Cui, Longhao Yuan, Toshihisa, Tanaka, Qibin Zhao, Jianting Cao
    • Organizer
      The Third International Conference On Consumer Electronics (ICCE) Asia
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] HIGH-ORDER TENSOR COMPLETION FOR DATA RECOVERY VIA SPARSE TENSOR-TRAIN OPTIMIZATION2018

    • Author(s)
      Longhao Yuan, Qibin Zhao, Jianting Cao
    • Organizer
      2018 IEEE International Conference on Acoustics, Speech and Signal Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Higher-dimension tensor completion via low-rank tensor ring decomposition2018

    • Author(s)
      L. Yuan, J. Cao, X. Zhao, Q. Wu, and Q. Zhao.
    • Organizer
      APSIPA-ASC 2018
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Epileptic focus localization based on iEEG by using positive unlabeled (PU) learning2018

    • Author(s)
      X. Zhao, T. Tanaka, W. Kong, Q. Zhao, J. Cao, H. Sugano, and N. Yoshida
    • Organizer
      APSIPA-ASC
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Generative Adversarial Positive-Unlabelled Learning2018

    • Author(s)
      Ming Hou, Brahim Chaib-draa, Qibin Zhao
    • Organizer
      27th International Joint Conference on Artificial Intelligence and the 23rd European Conference on Artificial Intelligence
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Detection of Epileptic Foci Based on Interictal iEEG by Using Convolutional Neural Network2018

    • Author(s)
      Xuyang Zhao, Qibin Zhao, Toshihisa Tanaka, Jianting Cao, Wanzeng Kong, Hidenori Sugano and Noboru Yoshida∥
    • Organizer
      International Conference on Digital Signal Processing
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [Presentation] Brain Image Completion by Bayesian Tensor Decomposition2017

    • Author(s)
      Lihua Gui, Qibin Zhao, Jianting Cao
    • Organizer
      2017 22nd International Conference on Digital Signal Processing (DSP)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-17K00326
  • [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] 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] 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
    • 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, 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, 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] 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] 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] 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] 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: 2 results
    # of Collaborated Products: 19 results
  • 2.  横田 達也 (80733964)
    # of Collaborated Projects: 2 results
    # of Collaborated Products: 1 results
  • 3.  本谷 秀堅 (60282688)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  横矢 直人
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 5.  He Wei
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 1 results
  • 6.  周 郭許
    # of Collaborated Projects: 0 results
    # of Collaborated Products: 4 results

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