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Selected Publications | Journal Papers | Conference Papers | Full List 1.
Q. Zhao, C. Caiafa, D. Mandic, L. Zhang, et al, A
Multilinear Subspace Regression Method Using Orthogonal Tensors
Decompositions, NIPS 2011, Granada, Spain, 2011 2.
Rong Zhou, Liqing Zhang, Contour-Based Large Scale
Image Retrieval Platform, NIPS 2011 Demo, Granada, Spain,
2011 3.
Yang Cao, Wang Changhu, Zhang Liqing, Lei Zhang, Edgel
Inverted Index for Large-Scale Sketch-based Image Search, CVPR2011,
Colorado Springs, 2011 4.
Rong Zhou and Liqing Zhang, Contour-Based Large Scale
Image Retrieval, Neural Information Processing, Proceedings of ICONIP2011,
Lecture Notes in Computer Science, 2011, Volume 7064/2011, pp565-572,
2011 5.
Qibin Zhao, Akinari Onishi, Yu Zhang, Jianting Cao,
Liqing Zhang and Andrzej Cichocki, A Novel Oddball Paradigm for Affective
BCIs Using Emotional Faces as Stimuli, Neural Information Processing, Proceedings
of ICONIP2011, Lecture Notes in Computer Science, 2011, Volume
7062/2011, pp279-286, 2011 6.
Qiang Wu, Liqing Zhang and Andrzej Cichocki, A Two
Stage Algorithm for K-Mode Convolutive Nonnegative Tucker Decomposition,
Neural Information Processing, Proceedings of ICONIP2011, Lecture
Notes in Computer Science, 2011, Volume 7063/2011, pp663-670, 2011 7.
Haohua Zhao and Liqing Zhang, Sparse Coding Image
Denoising Based on Saliency Map Weight, Neural Information Processing, Proceedings
of ICONIP2011, Lecture Notes in Computer Science, 2011, Volume
7063/2011, pp308-315, 2011 8.
Yang Wu and Liqing Zhang, ECG Classification Using ICA
Features and Support Vector Machines, Neural Information Processing, Proceedings
of ICONIP2011, Lecture Notes in Computer Science, 2011, Volume
7062/2011, pp146-154, 2011 9.
Wang, Qiang and Zhu, Wenjun and Zhang, Liqing, Moving
object detecting system with phase discrepancy,Proceedings of the 8th
international conference on Advances in neural networks(ISNN2011), pages
402--411, Guilin, China, 2011 10.
Yang Cao, Changhu Wang, Zhiwei Li, Liqing Zhang, Lei
Zhang, Spatial-Bag-of-Features, CVPR2010, June 14-16, 2010, San
Francisco, USA 11.
Zhenxiao Li, Liqing Zhang, Affine Invariant Topic Model
for Generic Object Recognition, LNCS6064, Advances in Neural Networks-
ISNN2010 Proceedings PartII, (eds: L. Zhang, J. Kwok and B. –L Lu ),
pp.152-161, 2010. 12.
Kan Hong, Liqing Zhang, Jie Li, Junhua Li, Multi-modal
EEG Online Visualization and Neuro-feedback, LNCS6064, Advances in Neural Networks-
ISNN2010 Proceedings PartII, (eds: L. Zhang, J. Kwok and B. –L Lu ),
pp.360-367, 2010. 13.
Qibin Zhao, Liqing Zhang & Andrzej Cichocki, Common
Tensor Discriminant Analysis for EEG Classification, NOLTA2009, 14.
Qibin Zhao, Cesar 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, LNCS
5863, Neural
Information Processing, ICONIP2009 Proccedings, pp221-228, Thailand, 2009 15.
Q. Zhao, T. M. Rutkowski, A. Cichocki, and L. Zhang,
“High resolution common spatial frequency filters for classifying multi-class
EEG,” in Advances in Cognitive Neurodynamics ICCN 2009 Proceedings (R.
Wang, F. Gu, and E. Shen, eds.),
Hangzhou, China: Springer, 2009. 16.
Han Sun, Liqing Zhang, Qibin Zhao & Jie Li, BCI
Control for Remote Cars, in Advances in Cognitive Neurodynamics
ICCN 2009 Proceedings (R. Wang, F. Gu, and E. Shen, eds.), , Hangzhou, China:
Springer, 2009. 17.
Bolei Zhou and Zhang, Modeling Manifold Way of Scene
Perception, in Advances in Cognitive Neurodynamics, ICCN 2009 Proceedings
(R. Wang, F. Gu, and E. Shen, eds.), Hangzhou, China: Springer, 2009. 18.
Bolei Zhou & Liqing Zhang, Scene Gist: A Holistic
Generative Model of Natural Image, H. Zha, R.-i. Taniguchi, and S. Maybank
(Eds.): ACCV 2009, Part II, LNCS 5995, pp. 395–404, 2010. Xi’an, China 19.
Yang Cao & Liqing Zhang, A Novel Hierarchical Model
of Saliency: Maximizing Information Transmission, H. Zha, R.-i. Taniguchi,
and S. Maybank (Eds.): ACCV 2009, Part I, LNCS 5994, pp.
224–233, 2010., Xi’an, China 20.
Qibin Zhao, Liqing Zhang, Andrzej Cichocki, Multilinear
Generalization of Common Spatial Pattern, The 34th IEEE International
Conference on Acoustics, Speech and Signal Processing (ICASSP2009), pp.525-528 Taipei, April 19-24, 2009 21.
Qiang Wu, Liqing Zhang, Guangchuan Shi, Robust Speech
Feature Extraction Based on Gabor Filtering and Tensor Factorization, The
34th IEEE International Conference on Acoustics, Speech and Signal Processing
(ICASSP2009), pp 4649-4652 Taipei, April 19-24, 2009 22.
Wei Guo and Liqing Zhang, Temporal Competitive Learning
Induced in Neural Networks by Spike Timing-Dependent Plasticity, Proc. 2009 Inter. Joint Conference
on Neural Networks – (IJCNN2009),
pp.1041-1046, Atlanta, June 14-19, 2009 23.
Hang Qi, Liqing Zhang, Age classification system with ICA
based local facial features, LNCS 5552, Proceedings of ISNN2010: Advances
in Neural Networks - Part II, pp.763 - 772, May 26-29, 2009, Wuhan,
China 24.
Cheng Peng and Liqing Zhang, Assessing iterative normal
modes on representing protein conformational transition, 3rd International Conference on
Bioinformatics and Biomedical Engineering (ICBBE 2009), pp.1-5, June 11-13,
Beijing, 2009 25.
Xiaodi Hou, Liqing Zhang, Dynamic Visual Attention: Searching
for coding length increments, Accepted by NIPS2008, Vancouver,
2008 26.
Wenjun Zhu and Liqing Zhang, Object Recognition with Task
Relevant Combined Local Features, D.-S. Huang et al. (Eds.): ICIC
2008, LNCS 5226, pp. 285–292, 2008. 27.
Wenlu Yang, and Liqing Zhang, Spatiotemporal Feature Extraction
Based on Invariance Representation, IJCNN2008, pp928-935,
Hongkong, 2008 28.
Qibin Zhao, Liqing Zhang, Andrzej Cichocki and Jie
Li, Incremental Common Spatial Pattern
Algorithm for BCI, IJCNN2008, pp2657-2660, Hongkong,
2008 29.
Qiang Wu and
Liqing Zhang, Nonnegative Tensor PCA and Application to Speaker
Recognition in Noise Environments, ICNC2008,
pp187-191, Jinan, China 30.
Qi Zhou, Liqing Zhang and Libo Ma, Learning topographic sparse coding
through similarity function, ICNC2008, pp241-245,, Jinan, China 31.
Xiaodi Hou, Liqing Zhang, Color Conceptualization,
ACM Multimedia (ACMMM2007), September 24 - 29, 2007, Augsburg, Germany. 32.
Libo Ma and
Liqing Zhang, Learning Overcomplete Spatiotemporal
Bubbles from Natural Image Sequences, Proc. of 3rd Inter. Conf. on
Natural Computation(ICNC’07), Vol. 1, pp212-216, 24-27, August, 2007, Haikou,
China 33.
Wenlu Yang, Liqing Zhang and Libo Ma, Computational Model for
Rotation-Invariant Perception, Proc. of 3rd Inter. Conf. on
Natural Computation(ICNC’07),
Vol. 2, pp144-148, 24-27, August, 2007, Haikou, China 34.
A. Cichocki, A.H. Phan, R. Zdunek, and L.-Q. Zhang, Flexible Component Analysis for
Sparse, Smooth, Nonnegative Coding or Representation , LNCS 4984,
M. Ishikawa et al. (Eds.): ICONIP 2007, Part I, LNCS 4984, pp. 811–820, 2008. 35.
Han Sun and
Liqing Zhang , Subject-Adaptive Real-Time BCI
System, Accepted by 14th International Conference on Neural
Information Processing (ICONIP’07), 13-16 November, 2007, Kitakyushu, Japan 36.
Wenlu Yang, Liqing Zhang and Wenjun Zhu, Head Pose
Estimation Based on Tensor Factorization, Accepted by 14th International
Conference on Neural Information Processing (ICONIP’07), 13-16 November,
2007, Kitakyushu, Japan 37.
Jie Li, Liqing Zhang, and Qibin Zhao, Pattern
Classification of Visual Evoked Potentials Based on Parallel Factor Analysis,
1st Inter. Conf. on Cognitive Neurodynamics (ICCN'07), Nov. 17-21, 2007,
Shanghai, China 38.
Xiaodi Hou and Liqing Zhang, Thumbnail Generation Based
on Global Saliency, 1st Inter. Conf. on Cognitive Neurodynamics (ICCN'07),
Nov. 17-21, 2007, Shanghai, China 39.
Qiang Wu, Liqing Zhang, and Bin Xia, Robust Auditory-Based Speech Feature
Extraction Using Independent Subspace Method, 1st Inter. Conf. on
Cognitive Neurodynamics (ICCN'07), Nov. 17-21, 2007, Shanghai, China 40.
Huai-Yi Zhu, Li-Qing Zhang, He Sun, and Rong Xiao, Face Detection Using
Multi-Feature, 1st Inter. Conf.
on Cognitive Neurodynamics (ICCN'07), Nov. 17-21, 2007, Shanghai, China 41.
Xiaodi Hou and Liqing Zhang, Saliency Detection: A Spectral
Residual Approach, IEEE Conf. on Computer Vision and Pattern
Recognition, 2007. (CVPR '07), 17-22, June 2007, Minneapolis, MN, USA. 42.
Wenlu Yang,
Liqing Zhang, and Libo Ma, Perception of
Transformation-invariance in the Visual Pathway, Independent
Component Analysis and Blind Signal Separation, LNCS, Vol. 4666, ICA 2007 proceedings, London, UK,
September 9-12, 2007, Davies,
M.E., et al (Eds.) 43.
Zhi-Lin Zhang and Liqing Zhang, Linear Prediction Based Blind Source
Extraction Algorithms in Practical Applications, Independent
Component Analysis and Blind Signal Separation, LNCS, Vol. 4666, ICA 2007 proceedings, London, UK,
September 9-12, 2007,
Davies, M.E., et al
(Eds.) 44.
Libo Ma and Liqing Zhang, Bayesian Estimation of Overcomplete
Independent Feature Subspaces for Natural Images, Independent
Component Analysis and Blind Signal Separation, LNCS, Vol. 4666, ICA 2007 proceedings, London, UK,
September 9-12, 2007, Davies,
M.E., et al (Eds.) 45.
Wei Guo, Liqing Zhang and Bin Xia, An Auditory Neural Feature
Extraction Method for Robust Speech Recognition, IEEE
International Conference on Acoustics, Speech and Signal Processing, (ICASSP 2007), Volume 4, PP:793 -
796 , April 15-20, 2007 46.
Xiaodi
Hou and Liqing Zhang, A Time-Dependent
Model of Information Capacity of Visual Attention, Lecture Notes in Computer
Science, Volume 4232, Neural Information Processing, I. King et al. (Eds.): ICONIP 2006,
pp. 127–136, 2006. 47.
Zhi-Lin Zhang, Liqing Zhang, Xiu-Ling Wu, Jie Li, and
Qibin Zhao, Two-Stage Temporally
Correlated Source Extraction Algorithm with Its Application in Extraction of
Event-Related Potentials, Lecture
Notes in Computer Science, Volume 4233, Neural Information Processing, I. King et al.
(Eds.): ICONIP 2006, pp. 523–532, 2006. 48.
Bin Xia and Liqing Zhang, Blind Source Separation of Temporal Correlated Signals and its FPGA
Implementation, in “Embedded Systems – Modeling, Technology, and
Applications”, Eds: G. Hommel and H. Sheng, ISBN 978-1-4020-4932-3, Springer,
pp187-195, 2006 49.
Bin Xia and Liqing Zhang, Multichannel Blind Deconvolution Using a Novel Filter Decomposition
Method, Advances in Neural Networks, ISNN 2006 Proceedings, Part I,
LNCS3971, Eds: Jun Wang, et
al, pp. 1202-1207, 2006 50.
Libo Ma, Liqing Zhang and Wenlu Yang, Local Independent Factorization of Natural
Scenes, Advances in Neural Networks, ISNN 2006 Proceedings, Part II,
LNCS3972, Eds: Jun Wang, et
al, pp. 454 - 459, 2006 51.
Feng Jiang, Liqing Zhang and Bin Xia, Two-Stage Blind Deconvolution for V-BLAST
OFDM System, Advances in Neural Networks, ISNN 2006 Proceedings, Part I,
LNCS3971, Eds: Jun Wang, et al, pp. 1208-1213, 2006 52.
Zhi-Lin
Zhang, Liqing Zhang: A Two-Stage Based Approach for Extracting Periodic
Signals, in LNCS 3889: J. Rosca et al. (Eds.), Proccedings
of ICA 2006, pp. 303–310,
2006. 53.
Liqing
Zhang, Multi-Modal Machine Attention: Sound Localization and Visual-Auditory
Signal Synchronization, in “Human Interaction with Machines”, Hommel, G.;
Huanye, S. (Eds.), ISBN: 1-4020-4042-3, Springer, pp57-64, 2005 54. Liqing Zhang,
Libo Ma, Wenlu Yang and Bin Xia, Sparse Representation and Associative
Learning in Multi-sensory Integration, Procs of ICNN&B, pp1622- 1626,
Invited Paper, IEEE Press, Beijing, 2005. 55. Liqing Zhang,
Sparse Representation and Synaptic Adaptation of Visual Sensory System, Proc
of ICNN&B, pp1961-1965,
IEEE Press, Beijing, 2005. 56. Wenlu Yang,
Xiongjun Pi and Liqing Zhang , Similarity Analysis of DNA Sequences Based on
the Relative Entropy, ICNC 2005, LNCS 3610, pp.
1035–1038, 2005 57. Wenlu Yang and
Liqing Zhang, Microbial Communities DNA Sequences Classification Based on
Transition Matrix, Proc of ICNN&B, pp722-727,
IEEE Press, Beijing 2005. 58. Zhang Hao, Zhang
Liqing, ECG Analysis Based on PCA And Support
Vector Machines, Procs of ICNN&B,
pp743-747, IEEE Press, Beijing 2005. 59. Zhao Qibin,
Liqing Zhang, ECG Feature
Extraction and Classification Using Wavelet Transform and Support Vector Machines, Proc of ICNN&B, pp1089-1092, IEEE Press, Beijing 2005. 60. Xiongjun Pi,
Wenlu Yang, and Liqing Zhang: Blind Clustering of DNA Fragments Based on
Kullback-Leibler Divergence. Advances in natural computation, LNCS 3610, ICNC2005 (1) : 1043-1046, 2005 61. Bin Xia and
Liqing Zhang, Stability Analysis of Multichannel Blind Deconvolution, Advances in Neural Networks, LNCS 3497, Second International Symposium on Neural
Networks, Eds: Jun Wang, et al, pp514-519, 2005 62. L. Zhang,
Temporal Independent Component Analysis for Separating Noisy Signals, Neural Information Processing: LNCS3316,
pp1064-1069, ICONIP 2004, Calcutta, India, November 22-25, 2004. 63. Bin Xia and Liqing Zhang, Multichannel Blind
Deconvolution of Non-minimum Phase System Using Cascade Structure, Neural Information Processing: LNCS3316, pp1186-1191, ICONIP 2004,
Calcutta, India, November 22-25, 2004. 64. G. Tan and L. Zhang, EEG Source Localization Using
Independent Residual Analysis, Advances
in Neural Networks (LNCS 3174), Eds: F. Yin, J. Wang and C. Guo,
pp.442-447, 2004 65. 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 66. 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 67. 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 68. L. Zhang and A. Cichocki, Independent
Residual Analysis for Temporal Correlated Signals, Computational Methods in Neural Modelling, Lecture Notes in
Computer Sciences 2686, Eds: J. Mira and J. Alvarez, pp 158-165, 2003. 69.
Y. Li,
Cichocki A, Zhang LQ, Blind separation and extraction of binary sources 70.
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 71.
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, 72.
L.
Zhang S. Amari and A. Cichocki, Semi-parametric Model and Superefficiency in
Blind Deconvolution, Signal
Processing, 81:2535-2553, 2001 73.
L.
Zhang, S. Amari, A. Cichocki, Equi-convergence Algorithm for blind separation
of sources with arbitrary distributions, in J.Mira and A. Prieto(Eds): Bio-Inspired Applications of
Connectionism (LNCS 2085), pp626-833, Springer, 2001. 74.
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). 75.
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. 76.
L.
Zhang, A. Cichocki and S. Amari, Semiparametric Approach for Blind
Deconvolution of Non-minimum Phase Systems, Advances in Neural Information Processing Systems 12,
Editors: S.A. Solla, T.K. Leen and K.-R. Muller , MIT Press, pp363-369, 2000. 77.
L.
Zhang and A. Cichocki, Blind Separation of Filtered Source Using State-Space
Approach, Advances in Neural
Information Processing Systems 11, Editors: M.S. Kearns, S.A. Solla
and D.A. Cohn, MIT press, pp648-654, 1999. 78.
Xiuling Wu, Liqing Zhang, Zhilin Zhang and Wenjun Zhu, Extraction and Classification of Visual
Evoked Potentials Based on a Two-stage Source Extraction Algorithm, Proc.
of 2006 Inter. Conf. on Computational Intelligence and Security, (CIS2006) Part
2, Y. Cheung et al (Eds.) Nov. 3-6, Guangzhou, China, pp1603-1606, 2006 79.
Xing
Jiang, Liqing Zhang, Qibin Zhao, and Sahin Albayrak, ECG Arrhythmias Recognition
System Based on Independent Component Analysis Feature Extraction, Proc.
of IEEE TENCON2006, Paper No. TEN-594, 2006 80. Bin Xia and
Liqing Zhang, Conjugate Gradient Approach to Multichannel Blind
Deconvolution, 人工神经网络与自然计算研究进展，高隽（主编），pp179-183, 合肥工业大学出版社，2004 81. L.Q. Zhang,
Conjugate Gradient Approach to Blind Separation of Temporally Correlated
Signals, 2004 International Conference on Communications, Circuits and
Systems, ICCCAS2004, pp1008-1012,
Chengdu, China, June 27~29, 2004 82. L. Zhang and B. Xia, Temporal Independent
Component Analysis for Separating Event-related Potentials, IEEE
International Conference on Neural Networks & Signal Processing, Nanjing,
Dec. 14-17, 2003 83.
Y. Li,
A. Cichocki, L. Zhang, `` Blind deconvolution for FIR dynamical systems with
single binary source input, 2002 IEEE International Symposium on Intelligent
Signal Processing and Communication Systems (ISPACS 2002)", Kaohsiung,
Taiwan. 84.
L.
Zhang, A. Cichocki, Feature Extraction and Blind Separation of Convolutive
Signals, Proceedings of International Conference of Neural Information Processing
(ICONIP 2001), Fudan Univ. Press, Shanghai, pp789-794, 2001 85.
Y. Li,
A. Cichocki and L. Zhang, Blind Separation of Digital Sources, Proceedings of
International Conference of Neural Information Processing (ICONIP 2001
Proceedings), Fudan Univ. Press, Shanghai, pp1018-1022, 2001 86.
L.
Zhang, A. Cichocki, Sparse representation and blind deconvolution of
dynamical systems, Proc. on 3rd International Conference on Independent
Component Analysis and Signal Separation, San Diego, Dec. 9-13, pp 284-289,
2001 87.
S.
Choi, A. Cichocki, L. Zhang, and S. Amari (2001), "Approximate
maximum likelihood source separation using the natural gradient," in
Proc. IEEE SPAWC 2001, pp.
235-238, Taoyuan, Taiwan, China, March 20-23, 2001. 88.
L.
Zhang, A. Cichocki, Natural Gradient Approach to Blind Deconvolution of
Dynamical Systems, Proc. of Independent Component Analysis and Blind Source
Separation (ICA'2000), pages
27-32, June 19-22, 2000, Helsinki, Finland. 89.
L.
Zhang, A. Cichocki and S. Amari, Estimating Function Approach to Multichannel
Blind Deconvolution, Proc. of IEEE Asia Pacific Conference on Circuits and
Systems, page 587-590, Tianjin,
China, 2000 90.
L.
Zhang, A.Cichocki and S. Amari, Kalman Filter and State-Space Approach to
multichannel blind deconvolution, Proc of NNSP'2000, page 425-434, Sydney, Australia, 2000 91.
L.
Zhang, A. Cichocki, Adaptive Blind Source Separation for Tracking Active
Sources of Biomedical Data, Proc of Workshop on Signal Processing and
Applications 2000, paper 45 at CDROM, Brisbane, Australia, 2000 92.
Zhang
Yongdong, Liu Yongqing; Zhang Liqing, Generalized synchronization in coupled
chaotic systems, Proceedings of the World Congress on Intelligent Control and
Automation (WCICA), v 5, 2000, p 3251-3254 93.
L.
Zhang, S. Amari and A. Cichocki, Natural Gradient Approach to Blind
Separation of Over- and Under-complete Mixtures, Proceedings of ICA'99,
pp.455-460, Aussois, France, January 11-15,1999. 94.
L.
Zhang, A. Cichocki and S. Amari, Geometrical Structures of FIR Manifold and
their Application to Multichannel Blind Deconvolution, 1999 IEEE Workshop on
Neural Networks for Signal Processing (NNSP'99), pp303-312, Madison, August,
23-25, 1999. 95.
L.
Zhang, A. Cichocki and S. Amari, Multichannel Blind Deconvolution of
Nonminimum Phase Systems Using Information Backpropagation, Proceedings of
ICONIP'99, pp210-216, Perth, Australia, Nov.16-20, 1999. 96.
L.
Zhang, A. Cichocki and S. Amari, Semi-parametric Approach to Blind Separation
of Dynamical Systems, Proceedings of NOLTA'99, pp707-710. Hawaii, USA,
Nov.28-Dec. 2, 1999. 97.
L.
Zhang, A. Cichocki, J. Cao and S. Amari, Semi-parametric Approach to Blind
Deconvolution, Technical Report of
IEICE (The Institute of Electronics, Information & Communication
Engineers of Japan ) , NC'99-25, pp.99-106, June, 1999. 98.
A.
Cichocki, L. Zhang, S. Choi and S. Amari: Nonlinear dynamic independent
component analysis using state-space and neural network models, Proc. of the
First International Workshop on Independent Component Analysis and Signal
Separation - ICA'99, Aussois, France, January 11-15, pp. 99-104, 1999. 99.
A.
Cichocki, L. Zhang and T. Rutkowski: Blind separation and filtering using
state space models, 1999 IEEE International Symposium on Circuits and
Systems, ISCAS'99, Orlando, Florida, USA, May 30 - June 2, Vol.5, pp.78-81, 1999. 100. A. Cichocki and L. Zhang: Adaptive Multichannel
blind deconvolution Using State-Space Models, Proc. of '99 IEEE Workshop on
Higher -Order Statistics, June 14-16, Caesarea, Israel, pp296-299, 1999. 101. L. Zhang and A. Cichocki, Blind
Deconvolution/Equalization Using State-Space Models, Proceedings of the
1998 IEEE Workshop on Neural
Networks for Signal Processing (NNSP'98), p123-131, Cambridge, UK, August
31-September 2, 1998 102. L. Zhang and A. Cichocki, Blind
Separation/Deconvolution of Sources Using Canonical Stable State-Space
Models, Proc. of the 1998
international Symposium on Nonlinear Theory and its Applications (NOLTA'98),
p927-930, Crans-Montana, Sept,
14-17, 1998 103. L. Zhang and A. Cichocki, Information
Backpropagation Learning Algorithm for blind dynamic separation, Proceeding
of IASTED International Conference Signal and Image Processing (SIP'98),
pp1-5, October 28-31, 1998,Las Vegas, USA 104. A. Cichocki and L. Zhang, Two-stage Blind
Deconvolution Using State-Space Models (Invited), Proceedings of the Fifth
International Conference on Neural Information Processing(ICONIP'98),
p729-732, Kitakyushu, Japan, Oct. 21-23, 1998 105. A. Cichocki, L. Zhang and S. Amari:
Semi-Blind and State-Space Approaches to Nonlinear Dynamic Independent
Component Analysis, Proc. of '98 international Symposium on
Nonlinear Theory and its Applications (NOLTA'98), p291-294, Crans-Montana, Sept, 14-17, 1998 106. Z. Shu, L. Zhang and Y. Liu, Optimal
control model for project investment. 2nd World Chinese Conference on Intelligent Control
and Intelligent Automation, Xian, China, 1997 107. Z. Shu, L. Zhang and Y. Liu, Multi-stage
hierarchy control strategy for investment project management, Chinese Conference on
Control and Decision, Beijing, China, 1997 108. L. Zhang, B. Xu and Y. Liu, Unstable
periodic orbit control of chaotic dynamical systems, '96 Chinese Control
Conference, page 340-344, Aug, 1996. 109. L. Zhang and Y. Liu, Learning algorithm for
deeply layered forward neural networks, 1st Chinese Conf. on Intelligent
Control and Intelligent Automation, page 273-277, Shenyang, China, Aug, 1994.
110.Y. Liu and L. Zhang, Second order error
backpropagation algorithm for deeply layered neural networks, 2nd Chinese
Workshop on Intelligent Control, Beijing, China, Aug, 1994. 111.L. Zhang, Monotone Properties of derivative
operator of ordinary differential equations. A collection of ordinary
differential equations, Academic Press, Beijing, page 189-193, 1994. |
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