Qibin Zhao

Research Scientist,

Lab. for Advanced Brain Signal Processing, Brain Science Institute, RIKEN.

2-1, Hirosawa, Wakoshi, Saitama, Japan

Email: qbzhao(at)brain.riken.jp


Research interest

    Brain computer interface;  Tensor factorization;  Machine learning

Research projects

    2012-2013,  “Multilinear subspace regression and its application to brain computer interface”, Kakenhi research grant


    Annual BCI research award 2011 (Nominees 2011)

    2010 APNNA best paper award



Q. Zhao, G. Zhou, T. Adali, L. Zhang and A. Cichocki. Kernelization of Tensor-based Models for Multimodal  Data Analysis. IEEE Signal Processing Magazine, 30(4):137-148, 2013

Q. Zhao, C. F. Caiafa, D. P. Mandic, Z. C. Chao, Y. Nagasaka, N. Fujii, L. Zhang and A. Cichocki. Higher-Order Partial Least Squares (HOPLS): A Generalized Multi-linear Regression Method. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(7):1660-1673, 2013 [Code]

F. Cong, A. H. Phan, P. Astikainen, Q. Zhao, Q. Wu, J. K. Hietanen, T. Ristaniemi, A. Cichocki, Multi-domain Feature Extraction for Small Event-related Potentials through Nonnegative Multi-way Array Decomposition from Low Dense Array EEG, International Journal of Neural Systems, 23(2):1350006, 2013

Y. Zhang, G. Zhou, Q. Zhao, J. Jin, X. Wang, A. Cichocki. Spatial-temporal discriminant analysis for ERP-based brain-computer interface. IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2013 (In press)


F. Cong, A. H. Phan, Q. Zhao, T. Huttunen-Scott, J. Kaartinen, T. Ristaniemi, H. Lyytinen, A. Cichocki, Benefits of Multi-domain Feature of Mismatch Negativity Extracted by Nonnegative Tensor Factorization from Low-density Array EEG, International Journal of Neural Systems, 2012, 22(6), 1250025

F. Cong, A. Phan, P. Astikainen, Q. Zhao, et al. Multi-domain Feature of Event-Related Potential Extracted by Nonnegative Tensor Factorization: 5 vs. 14 Electrodes EEG Data. Lecture Notes in Computer Science, vol. 7191, pp. 502-510, 2012

F. Cong, A. H. Phan, Q. Zhao, Q. Wu, T. Ristaniemi and A. Cichocki. Feature Extraction by Nonnegative Tucker Decomposition from EEG Data Including Testing and Training Observations. Lecture Notes in Computer Science, vol. 7665, pp.166–173, 2012

Y. Nam, Q. Zhao, A. Cichocki and S. Choi. Tongue-Rudder: A glossokinetic potential-based tongue-machine interface. IEEE Transactions on Biomedical Engineering, 59(1), pp.290-299, 2012

Y. Zhang, Q. Zhao, A. Cichocki. A novel BCI based on ERP components sensitive to configural processing of human faces. Journal of Neural Engineering, 9(2): 026018, 2012

G. Zhou, Y. Zhang, Q. Zhao, and A. Cichocki. Canonical Polyadic Decomposition: From 3-way to N-Way. 2012 Eighth International Conference on Computational Intelligence and Security (CIS). pp. 391-395, 2012

Q. Zhao, L. Zhang, J. Cao and A. Cichocki. Higher-order PLS for Classification of ERPs with Application to BCIs. Proceedings of the 2012 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC 2012), pp. 1-5, 2012

Y. Zhang, Q. Zhao, G. Zhou, X. Wang and A. Cichocki. Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI. International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), pp. 891-895, 2012

F. Cong, G. Zhou, Q. Zhao, et al. Sequential Nonnegative Tucker Decomposition on Multi-Way Array of Time-Frequency Transformed Event-Related Potentials. Proc. IEEE Workshop on Machine Learning for Signal Processing (MLSP), pp. 1-6, 2012

F. Cong, A. H. Phan, Q. Zhao, et al. Analysis of Ongoing EEG Elicited by Natural Music Stimuli Using Nonnegative Tensor Factorization. Proceeding of The 2012 European Signal Processing Conference (EUSIPCO-2012), Bucharest, Romania, 2012


Q. Zhao, C. F. Caiafa, D. P. Mandic, L. Zhang, T. Ball, A. Schulze-Bonhage, A. Cichocki, Multilinear Subspace Regression: An Orthogonal Tensor Decomposition Approach, Advances in Neural Information Processing systems 24 (NIPS), pp.1269-1277, 2011

Q. Zhao, A. Onishi, Y. Zhang, A. Cichocki,  An affective BCI using multiple ERP components associated to facial emotion processing, One of ten nominations in The Annual BCI Research Award 2011

Q. Zhao, A. Onishi, Y. Zhang, J. Cao, L. Zhang, and A. Cichocki, A novel oddball paradigm for affective BCI using emotional faces as stimuli, Lecture Notes in Computer Science (Neural Information Processing), vol. 7062, 279-286, 2011

Y. Zhang, G. Zhou, Q. Zhao, A. Onishi, J. Jin, X. Wang and A. Cichocki, Multiway canonical correlation analysis for frequency components recognition in SSVEP-based BCIs, Lecture Notes in Computer Science, vol.7062, pp.287-295, 2011

Onishi, Y. Zhang, Q. Zhao, A. Cichocki, Fast and reliable p300-based BCI with facial images, Proceedings of the 5th International Brain-Computer Interface Conference, 2011

T.M. Rutkowski, Q. Zhao, A. Cichocki, T. Tanaka, and D.P. Mandic, “Towards affective BCI/BMI paradigms – analysis of fEEG and fNIRS brain responses to emotional speech and facial videos,” in Advances in Cognitive Neurodynamics (II), pp. 671–675, Springer Netherlands, 2011

Q. Zhao, T. Rutkowski, A. Cichocki, L. Zhang, High Resolution Common Spatial Frequency Filters for Classifying Multi-class EEG. In: Advances in Cognitive Neurodynamics (II) Part 11, pp. 683-688, 2011


Q. Zhao, T. M. Rutkowski, L. Zhang and A. Cichocki, Generalized Optimal Spatial Filtering Using a Kernel Approach with Application to EEG Classification, Cognitive Neurodynamics, 4(4): 355-358, 2010

T.M. Rutkowski, T. Tanaka, Q. Zhao, and A. Cichocki, Spatial auditory BCI/BMI paradigm - Multichannel EMD approach to brain responses estimation, Proceedings of the Second APSIPA Annual Summit and Conference (APSIPA ASC 2010), pp. 197–202, 2010

Y. Nam, H. Kang, Q. Zhao, A. Cichocki and S. Choi, Mind Flipper: An EEG-based Brain Computer Interface for Page-turning during Presentation, Australian Journal of Intelligent Information Processing Systems, 11(2): 1-6, 2010

Y. Nam, Q. Zhao, A. Cichocki and S. Choi, A Tongue-Machine Interface: Detection of Tongue Positions by Glossokinetic Potentials, ICONIP 2010, Part II, LNCS 6444, pp. 34–41, 2010


Q. Zhao, L. Zhang and A. Cichocki, EEG-based asynchronous BCI control of a car in 3D virtual reality environments, Chinese Science Bulletin, 54(1): 78-87, 2009

J. Li, L. Zhang, D. Tao, H. Sun, Q. Zhao, A Prior Neurophysiologic Knowledge Free Tensor-Based Scheme for Single Trial EEG Classification, IEEE Transactions on Neural System and Rehabilitation Engineering, 17(2): 107-115, 2009

Q. Zhao, C. F. Caiafa, Andrzej Cichocki, Liqing zhang, Anh Huy Phan, Slice Oriented Tensor Decomposition of EEG Data for Feature Extraction in Space, Frequency and Time Domains, ICONIP 2009, Part I, LNCS 5863, pp.221-228, 2009

H. Sun, L. Zhang, J. Li, Q. Zhao, EEG Based Brain-Computer Interface System for Remote Vehicle Controlling, The 2nd International Conference on Cognitive Neurodynamics (ICCN’09)

Q. Zhao, L. Zhang and A. Cichocki, Common Tensor Discriminative Analysis for EEG Classification, Proceedings of the 2009 International Symposium on Nonlinear Theory and its Applications (NOLTA’09), pp.443-446, 2009

Q. Zhao, L. Zhang and A. Cichocki, Multilinear Generalization of Common Spatial Pattern, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 525-529, 2009


A. Cichocki, S. Choi, Q. Zhao, et al, Noninvasive BCIs: multiway signal-processing array decompositions, Computer, 41(10): 34-42, 2008

Q. Zhao, L. Zhang and J. Li, Multi-task BCI for online game control, Autonomous Systems - Self-Organization, Management, and Control, 29-37, 2008

Q. Zhao, L. Zhang, A. Cichocki, J. Li, Incremental common spatial pattern for BCI, IEEE Word Congress on Computational Intelligence, International Joint Conference on Neural Networks (IJCNN), 2656-2659, 2008

Q. Zhao, L. Zhang, Temporal and spatial features of single-trial EEG for brain computer interface, Computational Intelligence and Neuroscience, 2007(1): 14, 2007

J. Li, L. Zhang, Q. Zhao, Pattern classification of visual evoked potentials based on parallel factor analysis, International Conference on Neural Networks (ICNN), 571-575, 2007

Z. Zhang, L. Zhang, X. Wu, J. Li, Q. Zhao, Two-stage temporally correlated source extraction algorithm with its application in extraction of event-related potentials, Lecture Notes in Computer Science, 4233: 523-532, Springer, 2006

X. Jiang, L. Zhang, Q. Zhao, S. Albayrak, ECG arrhythmias recognition system based on independent component analysis feature extraction, TENCON 2006 - 2006 IEEE Region 10 Conference, 1-4: 1308-1311, 2006

Q. Zhao, L. Zhang, ECG feature extraction and classification using wavelet transform and support vector machines, International Conference on Neural Networks and Brain (ICNN&B 2005), 2: 1089-1092, 2005