Zhao Qibin ＺＨＡＯＱＩＢＩＮ

… Alternative Names

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

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

Zhao Qibin ＺＨＡＯ ＱＩＢＩＮ

ZHAO QIBIN ZHAO QIBIN

Research Projects

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Rank estimation and optimization methods for tensor network decomposition, and its applications

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Tensor Network Representation for Machine Learning: Theoretical Study and Algorithms DevelopmentPrincipal Investigator

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

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

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Multilinear Subspace Regression and Its Application in BCI.Principal Investigator

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

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

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[Journal Article] Remote Sensing Image Reconstruction Using Tensor Ring Completion and Total Variation2019

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[Journal Article] High-dimension Tensor Completion via Gradient-based Optimization Under Tensor-train Format.2019

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[Journal Article] Rank minimization on tensor ring: an efficient approach for tensor decomposition and completion2019

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[Journal Article] Multidimensional clinical data denoising via Bayesian CP factorization2019

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[Journal Article] Non-local Image Denoising by Using Bayesian Low-rank Tensor Factorization on High-order Patches2018

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[Journal Article] Two-Stage Frequency Recognition Method Based on Correlated Component Analysis for SSVEP-Based BCI2018

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[Journal Article] Image and Video Completion by Using Bayesian Tensor Decomposition2018

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Zhao Qibin ＺＨＡＯＱＩＢＩＮ