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1.
Zhao, Qibin; Zhang, Liqing; Cichocki,
Andrzej, Bayesian CP Factorization of Incomplete Tensors with Automatic Rank
Determination", IEEE PAMI, 2015, Accepted
2.
Ye Liu, Mingfen Li, Hao Zhang, Hang Wang,
Junhua Li, Jie Jia, Yi Wu, Liqing Zhang, A tensor-based scheme for stroke
patients’ motor imagery EEG analysis in BCI-FES rehabilitation training, Journal
of Neuroscience Methods, Volume 222, 30 January 2014, Pages
238-249
3.
Mingfen Li, Ye Liu, Yi Wu, Sirao Liu,
Jia jie, Liqing Zhang, Neurophysiological Substrates of Stroke Patients with
Motor Imagery-based Brain-Computer Interface Training, International Journal of
Neuroscience, June 2014, Vol. 124, No. 6 , Pages 403-415
4.
Qibin Zhao, Liqing Zhang and Andrzej
Cichocki, Multilinear and nonlinear generalizations of partial least squares:
an overview of recent advances, WIREs Data Mining and Knowledge
Discovery, 2014, 4:104–115
5.
Qiang Wu, Liqing Zhang, Andrzej
Cichocki, Multifactor sparse feature extraction using Convolutive Nonnegative
Tucker Decomposition, Neurocomputing 129
(2014)17–24
6.
Q. Zhao, C. Caiafa, D. Mandic, Z.
Chao, Y. Nagasaka, N. Fujii, Liqing Zhang and A. Cichocki, Higher-Order
Partial Least Squares (HOPLS): A Generalized Multi-Linear Regression
Method, IEEE PAMI, 35(7): 1660-1673, July, 2013
7. Qibin Zhao,
Guoxu Zhou, Tülay Adali, Liqing Zhang, and Andrzej Cichocki, "Kernelization
of Tensor-Based Models for Multiway Data Analysis: Processing
of Multidimensional Structured Data," Signal Processing Magazine,
IEEE , vol.30, no.4, pp.137,148, July 2013
8.
Junhua
Li, Jianyi Liang, Qibin Zhao, Jie Li, Kan Hong, Liqing Zhang and Andrzej
Cichocki, Design of Assistive Wheelchair System Directly Steered
by Human Thoughts, International Journal of Neural Systems,
Vol. 23, No. 3 1350013 (12 pages), 2013
9.
Junhua
Li and Liqing Zhang, Active training paradigm for motor imagery BCI,
Experimental
Brain Research, 219(2):
245-254, 2012 Apr 5.
10.
Wenjun
Zhu, Liqing Zhang, Qianwei Bian, A
hierarchical latent topic model based on sparse coding, Neurocomputing,
Volume 76, Issue 1, 15 January 2012, Pages 28-35
11.
Qiang
Wu, Liqing Zhang and Guangchuan Shi, Robust Multifactor Speech Feature Extraction
Based on Gabor Analysis, IEEE Transactions on Audio, Speech, and
Language Processing, Vol.19(4) : 927-936, 2011
12.
Junhua
Li and Liqing Zhang, Bilateral Adaptation and Neurofeedback for Brain
Computer Interface system, Journal of Neuroscience Methods
193: 373–379, (2010)
13.
Cheng
Peng, Liqing Zhang, and Teresa Head-Gordon, Instantaneous
Normal Modes as an Unforced Reaction Coordinate for Protein Conformational
Transitions, Biophysical Journal, 2010 May
19;98(10):2356-64
14.
Jie
Li, Liqing Zhang, Regularized
tensor discriminant analysis for single trial EEG classification in BCI,
Pattern
Recognition Letters 31: 619–628, (2010)
15.
Wu
Q, Zhang LQ, Shi GC. Robust
feature extraction for speaker recognition based on constrained nonnegative
tensor factorization. Journal of Computer Science and
Engineering, 25(4): 745-754 July 2010
16.
Qibin
Zhao,Tomasz M. Rutkowski, Liqing Zhang and Andrzej Cichocki, Generalized
optimal spatial filtering using a kernel approach with application to EEG
classification, Cognitive Neurodynamics, Volume 4, Number 4, 355-358, 2010
17.
Jie
Li, Liqing Zhang, Dacheng Tao, Han Sun and Qibin Zhao, A
Prior Neurophysiologic Knowledge Free Tensor-based Scheme for Single Trial
EEG Classification (Abstract), IEEE Transactions on Neural Systems and
Rehabilitation Engineering,
17(2):107-115,2009
18.
Qibin
Zhao, Liqing Zhang and Andrzej Cichocki, EEG-based
asynchronous BCI control of a car
in 3D virtual reality environments, Chinese Science Bulletin,
54(1):78-87, 2009
19.
Jie
Li and Liqing Zhang, Phase
Interval Value Analysis for the Motor, Imagery Task in BCI, Journal
of Circuits, Systems, and Computers Vol.18(8), pp1441-1452, (December 2009)
20.
A.
Cichocki, Y. Washizawa, T. Rutkowski, H. Bakardjian, A. Phan, S. Choi, H.
Lee, Q. Zhao, L. Zhang, and Y.
Li, Noninvasive
Brain-Computer Interface: Current Trends and Challenges in Signal Processing -
Multiway Array Decompositions, (ABSTRACT).
IEEE Computer Invited
Paper, Vol. 41(10), pp.34-42, October,
2008
21.
Zhaoshui
He, Shengli Xie, Liqing Zhang, and Andrzej Cichocki，A
Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations,
Neural
Comp. 2008. 20:636-643.
22.
Libo
Ma, and Liqing Zhang, Overcomplete
topographic independent component analysis, Neurocomputing, Volume
71, Issues 10-12, Pages 2217-2223, June 2008
23.
杨文璐，张丽清，麻立波：内容和运动方向感知计算模型，中国科学E集，Vol.38, No.4, pp386-397,2008年
24.
Yang
Wenlu, Zhang Liqing and Ma Libo, Computational
model for perception of objects and motions, Science in China, Series C: Life
Science, Vol.51, No.6, pp526-536, 2008
25.
Qibin
Zhao and Liqing Zhang, Temporal
and Spatial Features of Single-Trial EEG for Brain-Computer Interface,
Computational Intelligence and Neuroscience, Volume 2007, Article ID 37695,
14 pages, 2007
26.
Bin
Xia and Liqing Zhang, Blind
Deconvolution in Nonminimum Phase Systems Using Cascade Structure,
EURASIP Journal on Applied Signal Processing, Vol. 2007, Article ID 48432, 10
pages, 2007. doi:10.1155/2007/48432
27. Li, YQ; Cichocki, A; Zhang, LQ, Blind
source estimation of FIR channels for binary sources: a grouping decision
approach, Signal Processing, 84 (12): 2245-2263 DEC, 2004
28. L.
Zhang, A. Cichocki and S. Amari, Multichannel
Channel Blind Deconvolution of Non-minimum Phase Systems Using Filter
Decomposition, IEEE Transactions on Signal Processing, Vol. 52, No5, pp1431-1442, 2004
29. L.
Zhang, A. Cichocki and S. Amari, Self-Adaptive
Blind Source Separation Based on Activation function Adaptation, IEEE Transactions on Neural Networks,
Vol.15, No.2, pp233-244, 2004
30.
Y.
Li, Cichocki A, Zhang LQ, Blind separation and extraction of binary sources, IEICE
Transactions on fundamentals of electronics, communications and computer
sciences, E86A (3): 580-589, 2003
31.
Choi,
Seungjin Cichocki, Andrzej; Zhang, Liqing; Amari, Shun-Ichi, Approximate
maximum likelihood source separation using the natural gradient, IEICE
Transactions on Fundamentals of Electronics, Communications and Computer
Sciences, v E86-A, n 1, January, 2003, p 198-205
32.
L.
Zhang, A. Cichocki and S. Amari, Geometrical
Structures of FIR Manifold and their Application to Multi-channel blind deconvolution, Journal of VLIS for Signal Processing Systems, 31:31-44, 2002,
33.
L.
Zhang S. Amari and A. Cichocki, Semi-parametric
Model and Superefficiency in Blind Deconvolution, Signal Processing,
81:2535-2553, 2001
34.
Y.
Li, L. Zhang, Y. Liu, and G. Hu, `` A Kind of Neural Networks Model for Blind
Signal Separation of Singularly Mixed Sources", J. of Control Theory and
Applications, vol.18, no.1, 105-108, 2001 (in Chinese).
35.
L.
Zhang and A. Cichocki, Blind Deconvolution of Dynamical Systems: A State
Space Approach, Invited paper, Journal
of Signal Processing, Vol.4, No.2, pp.111-130, 2000.
36.
Zhang
L., Liu Y. and Li Y., `` Natural Gradient Approach to Multichannel Blind
Deconvolution ", Journal of Systems Engineering and
Electronics, Vol. 11, No.1, pp.22-31, 2000
Some our early publications can be found by this link
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