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Selected Publications   | Journal Papers    | Conference Papers    | Full List 

 

1.       Jie Wu, Changhu Wang, Liqing Zhang, Yong Rui, Sketch Recognition with Natural Correction and Editing, AAAI 2014, Jul 27-31, 2014, Québec, Canada

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.       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

4.       Qiang Wu, Liqing Zhang, Andrzej Cichocki, Multifactor sparse feature extraction using Convolutive Nonnegative Tucker Decomposition, Neurocomputing 129 (2014)17–24

5.       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

6.       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

7.       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

8.       Q. Zhao, Liqing Zhang and A. Cichocki, A Tensor-Variate Gaussian Process for Classification of Multidimensional Structured Data, AAAI2013, July 14-18, 2013, Bellevue, USA

9.       Q. Zhao, G Zhou, T Adali, L Zhang, A Cichocki Kernel-based tensor Partial Least Squares for reconstruction of limb movements. In: Machine Learning for Signal Processing, ICASSP2013, May 26-31, Vancouver, Canada, 2013

10.    Jie Wu and Liqing Zhang, GESTALT SALIENCY: SALIENT REGION DETECTION BASED ON GESTALT PRINCIPLES, ICIP 2013, Sept. 15-18, Melbourne, Australia

11.    Ye Liu, M. Li, H. Zhang, J. Li, J. Jia, Y. Wu, J. Cao and L. Zhang, Single-Trial Discrimination of EEG Signals for Stroke Patients: A General Multi-Way Analysis, EMBC’13, July 3-7, 2013, Osaka, Japan.

12.    Hao Zhang, Ye Liu, Jianyi Liang, Jianting Cao and Liqing Zhang, Gaussian Mixture Modeling in Stroke Patients’ Rehabilitation EEG Data Analysis, EMBC’13, July 3-7, 2013, Osaka, Japan.

13.    Junhua Li, Ye Liu, Zhen Lu, and Liqing Zhang, A Competitive Brain Computer Interface: Multi-person Car Racing System, EMBC’13, July 3-7, 2013, Osaka, Japan.

14.    Jianting Cao, Daishi Watabe, and Liqing Zhang, An EEG Diagnosis System for Quasi Brain Death Based on Complexity and Energy Analyses, EMBC’13, July 3-7, 2013, Osaka, Japan.

15.    Jianyi Liang, Hao Zhang, Ye Liu, Hang Wang, Junhua Li and Liqing Zhang, A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System, Advances in Neural Networks – ISNN 2013, LNCS7952, pp 284-291, 2013

16.    Zhenbang Sun, Changhu Wang, Liqing Zhang, and Lei Zhang, Free Hand-Drawn Sketch Segmentation, 12th European Conference on Computer Vision, Proc. ECCV  (1) 2012: 626-639, Firenze, Italy, Oct.7-13, 2012 

17.    Zhenbang Sun, Changhu Wang, Liqing Zhang and Lei Zhang, Query-Adaptive Shape Topic Mining for Hand-Drawn Sketch Recognition, ACM Multimedia 2012, pp519-528, Nara, Japan, Oct 29-Nov 2, 2012

18.    Rong Zhou, Liuli Chen and Liqing Zhang, Sketch-based Image Retrieval on a Large Scale Database, ACM Multimedia 2012, pp973-976, Nara, Japan, Oct 29-Nov 2, 2012

19.    Zhenbang Sun, Changhu Wang, Liqing Zhang and Lei Zhang, Sketch2Tag: Automatic Hand-Drawn Sketch Recognition (Demo paper) ACM Multimedia 2012, Nara, Japan, Oct 29-Nov 2, 2012

20.    Rong Zhou, Liuli Chen and Liqing Zhang, Guess What You Draw: Interactive Contour-based Image Retrieval on a Million-Scale Database, (Demo paper), ACM Multimedia 2012, Nara, Japan, Oct 29-Nov 2, 2012.

21.    Junhua Li, Yijun Wang, Liqing Zhang, and Tzyy-Ping Jung,  Combining ERPs and EEG Spectral Features for Decoding Intended Movement Direction,  34th Annual Inter. Conf. of the IEEE Engineering in medicine and Biology Society (EMBC'12),  San Diego, USA, Aug. 28 – Sept. 1, 2012.

22.    Junhua Li and  Liqing Zhang, Active training paradigm for motor imagery BCI, Experimental Brain Research,  219(2): 245-254, 2012 Apr 5.

23.    Wenjun Zhu ,  Liqing Zhang, Qianwei Bian, A hierarchical latent topic model based on sparse coding, Neurocomputing, 76(1):28-35, January 2012

24.    Hao Zhang, Jianyi Liang, Ye Liu, Hang Wang and Liqing Zhang, An Iterative Method for Classifying Stroke Subjects' Motor Imagery EEG Data in the BCI-FES Rehabilitation Training System,  IEEE 1st Inter. Conf. on Cognitive Systems and Information Processing (CSIP2012), Dec. 15-17, 2012, Beijing, China

25.     Bingfei Cheng, Kai Huang, Liqing Zhang and Ye Liu, Tensor-based feature extraction method for ECG, Medical Physics and Biomedical Engineering 2012(ICMPBE2012), Advances in Biomedical Engineering Volumn 13, Page 151-156, 2012

26.    Yang Cao, Wang Changhu, Zhang Liqing, Lei Zhang, Edgel Inverted Index for Large-Scale Sketch-based Image Search, CVPR2011, Colorado Springs, 2011

27.    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  

28.    Q. Zhao, C. Caiafa, D. Mandic, L. Zhang, T. Ball, A. Bonhage, A. Cichocki, A Multilinear Subspace Regression Method Using Orthogonal Tensors Decompositions, 25th Conference on Neural Information Processing Systems (NIPS 2011), Granada, Spain, 2011 

29.    Rong Zhou and Liqing Zhang, Contour-Based Large Scale Image Retrieval, Neural Information Processing, ICONIP2011, Lecture Notes in Computer Science, 2011, Volume 7064/2011, pp565-572, 2011  

30.    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 

31.    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 

32.    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  

33.    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

34.    Yang Cao, Hai Wang, Changhu Wang, Zhiwei Li, Liqing Zhang, Lei Zhang, *MindFinder: Interactive Sketch-based Image Search on Millions of Images, ACM Multimedia 2010, (Best Demo Award), October 25-29, Firenze, Italy

35.    Yang Cao, Changhu Wang, Zhiwei Li, Liqing Zhang, Lei Zhang, Spatial-Bag-of-Features, 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR2010), pp 3352 - 3359, June 14-16, 2010, San Francisco, USA

36.    Junhua Li and Liqing Zhang, Bilateral Adaptation and Neurofeedback for Brain Computer Interface system, Journal of Neuroscience Methods 193: 373–379, (2010)

37.    Cheng Peng, Liqing Zhang, and Teresa Head-Gordon, Instantaneous Normal Modes as an Unforced Reaction Coordinate for Protein Conformational Transitions, Biophysical Journal, 19;98(10):2356-64, 2010 May

38.    Jie Li, Liqing Zhang, Regularized tensor discriminant analysis for single trial EEG classification in BCI, Pattern Recognition Letters 31: 619–628, (2010)

39.    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

40.    Wu Q, Zhang LQ, Shi GC. Robust feature extraction for speaker recognition based on constrained nonnegative tensor factorization. Journal of  Computer Science and Tech. 25(4): 745-754 July 2010

41.    Bolei Zhou, Xiaodi Hou and Liqing Zhang, A Phase Discrepancy Analysis of Object Motion, Computer Vision- ACCV 2010, Lecture Notes in Computer Science, Vol6494,pp225-238, 2010. 

42.    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. 

43.    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.

44.    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 

45.    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)

46.    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

47.    Qibin Zhao, Liqing Zhang & Andrzej Cichocki, Common Tensor Discriminant Analysis for EEG Classification, NOLTA2009,

48.    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

49.    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.

50.    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.

51.    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.

52.    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 

53.    Yang Cao & Liqing Zhang, A novel hierarchical model of attention: maximizing information acquisition, H. Zha, R.-i. Taniguchi, and S. Maybank (Eds.): ACCV 2009, Part I, LNCS 5994, pp. 224–233, 2010., Xi’an, China

54.    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

55.    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

56.    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

57.    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

58.    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

59.    Xiaodi Hou, Liqing Zhang, Dynamic Visual Attention: Searching for coding length increments, Advances in neural information processing systems (NIPS2008) , Vol 21, pp681-688, Vancouver, 2008

60.    Qiang Wu and Liqing Zhang, Auditory Sparse Representation for Robust Speaker Recognition based on Tensor Structure, EURASIP Journal on Audio, Speech, and Music Processing, Volume 2008, Article ID 578612, 9 pages, doi:10.1155/2008/578612

61.    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

62.    Zhaoshui He, Shengli Xie, Liqing Zhang, and Andrzej CichockiA Note on Lewicki-Sejnowski Gradient for Learning Overcomplete Representations, Neural Comp. 2008. 20:636-643.

63.    Libo Ma, and Liqing Zhang, Overcomplete topographic independent component analysis, Neurocomputing, Volume 71, Issues 10-12, Pages 2217-2223, June 2008

64.    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

65.    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

66.    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.

67.    Wenlu Yang, and Liqing Zhang,  Spatiotemporal Feature Extraction Based on Invariance Representation, IJCNN2008, pp928-935, Hongkong, 2008

68.    Qibin Zhao, Liqing Zhang, Andrzej Cichocki and Jie Li,  Incremental Common Spatial Pattern Algorithm for BCI, IJCNN2008, pp2657-2660, Hongkong, 2008

69.    Qiang Wu and  Liqing Zhang, Nonnegative Tensor PCA and Application to Speaker Recognition in Noise Environments, ICNC2008, pp187-191, Jinan, China

70.    Qi Zhou, Liqing Zhang and Libo Ma,  Learning topographic sparse coding through similarity function, ICNC2008, pp241-245,, Jinan, China

71.    Xiaodi Hou, Liqing Zhang, Color Conceptualization, ACM Multimedia (ACMMM2007), September 24 - 29, 2007, Augsburg, Germany.

72.     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

73.    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 

74.    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.

75.     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

76.    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

77.    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

78.    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

79.    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

80.    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

81.     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.

82.     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.) 

83.    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.) 

84.    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.) 

85.    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

86.    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

87.    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

88.    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.

89.    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.

90.    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

91.    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

92.    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

93.    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

94.    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.

95.    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

96.    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.

97.    Liqing Zhang, Sparse Representation and Synaptic Adaptation of Visual Sensory System, Proc of ICNN&B, pp1961-1965, IEEE Press, Beijing, 2005.

98.    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

99.    Wenlu Yang and Liqing Zhang, Microbial Communities DNA Sequences Classification Based on Transition Matrix, Proc of ICNN&B, pp722-727, IEEE Press, Beijing 2005.

100. Zhang Hao, Zhang Liqing, ECG Analysis Based on PCA And Support Vector Machines, Procs of ICNN&B, pp743-747, IEEE Press, Beijing 2005.

101. 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.

102. 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

103. 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

104. L. Zhang, Temporal Independent Component Analysis for Separating Noisy Signals, Neural Information Processing: LNCS3316, pp1064-1069, ICONIP 2004, Calcutta, India, November 22-25, 2004.

105. 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.

106. 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

107. 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

108. 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

109. 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

110. 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.

111. 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

112. 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

113. 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, 

114. L. Zhang S. Amari and A. Cichocki, Semi-parametric Model and Superefficiency in Blind Deconvolution, Signal Processing, 81:2535-2553, 2001 

115. 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.

116. 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).

117. 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.

118. 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.

119. 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

120. L. Zhang, A. Cichocki and S. Amari, Natural Gradient Algorithm to Blind Separation of Over-determined Mixture with Additive Noises, IEEE Signal Processing Letters, Vol. 6, No. 11, pp293-295, 1999.

121. 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.

122. Li Y. and L Zhang, Stability analysis of blind separation algorithm for singular mixtures, Systems Engineering and Elect. Tech, Vol. 21, No.10, pp.46-50, 1999

123. B. Xu, and Zhang L. Field-Bus based Real Time Monitor System of Production Process for Power Plant, Systems Engineering and Elect. Tech, Vol.21 (3).-72-76, 1999

124. B. Xu, L. Zhang and Y. Liu,  New type MIS design and implementation in the framework of Brower/Server,  Computer Engineering and Applications, Vol.35(3):12-23, 1999

125. Y. Zhang, Liu Y., Zhang L. and Zhou X., Design of feedback control of chaos in a class of nonlinear system, Journal of South China University of Technology , Vol. 27(10) , pp38-41, 1999

126. B. Xu, L. Zhang and Y. Liu, Local dimension of fractals and its dynamical Properties, Journal of South China University of Technology, Vol.26(1):51-58, 1998

127. B. Xu, C. Mai, Y. Liu and L. Zhang, Noise spectral density analysis of mono-electronic transistor, Journal of South China University of Technology, Vol26(3):26-34, 1998

128. B. Xu, C. Mai, Y. Liu and L. Zhang, Numerical Solution to Noise spectral density analysis of mono-electronic transistor, Journal of South China University of Technology,  Vol. 26(4):57-64, 1998

129. B. Xu and L. Zhang, Design and Implementation of Equipment Management Information Systems for Power Plant, Computer Engineering and Applications, Vol. 34(11), pp60-62, 1998

130. Cai G. and L. Zhang, Analysis of Linear Hypothesis on Input-Output Systems, Journal of South China Univ. Tech.  Vol. 26(10), pp84-88, 1998

131. B. Xu, L. Zhang and Y. Liu, Office automation system based on Lotus Notes in the CIMS environment, Systems Engineering, Vol. 15(6): 55-59, 1997

132. B. Xu, and L. Zhang, Optimal network configuration of intranet for power enterprise in the CIMS environments, Systems Engineering and Electronic Tech. Vol.20 (9), pp36-41, 1998

133. B. Xu, L. Zhang and Y. Liu, General templates design of management information systems, Computer Engineering and Applications, 34(4): 47-56, 1998 

134. G. Wei, L. Zhang, Li.Wu and J. Ouyang, Homotopy nonlinear model for speech signal- theory and algorithm, Automatica Sinica, 23(2): 201-206, 1997.

135. B. Xu, L. Zhang and Y. Liu,  A novel hybrid prototype approach to developing  CIMS/MIS for enterprises, Systems Engineering and Electronic Technology,  Vol.19(10): 67-71, 1997

136. L. Zhang and B. Xu, Initial value homotopy approach to the periodic solution of nonlinear dynamical systems. Journal of Zhongshan University, Supp:5: 16-19, 1996

137. G. Han, L. Zhang, Asymptotic expansion for discrete collocation solution of Hammerstein integral equation of mixed type, Acta Math. Appl.,19:621-626, 1996

138. L. Zhang, Monotone homotopy method for periodic solutions of dynamical systems. Journal of South China University of Tech, 24(6):51-57, 1996.

139. G. Cai, L. Zhang and Y. Liu, Input-output coefficients prediction with incomplete information using neural networks, Journal of Systems Science and System Engineering, 4(4):297-304, 1996.

140. G. Cai and L. Zhang, Input-output modelling with dual module neural networks, Journal of South China Univ. of Tech., 24(5):7-13, 1996.

141. Y. Liu, G. Cai and L. Zhang, Comparison of industrial structure between Guangzhou and Taiwan in China, Journal of South China Univ. of Tech., 24(5)1-6, 1996.

142. G. Han and L. Zhang, Asymptotic expansion and extrapolation of Nystrom methods of two-dimensional Fredholm integral equations, Acta Mathematicae Applicatae Sinica,18(2):218-223, 1995.

143. L. Zhang and X. Huang, Monotone homotopy learning algorithm for deeply layered Hierarchical Neural Networks, Journal of South China University of Tech, 23(6):17-21, 1995.

144. S. Zhang  and L. Zhang, Relational Example based Enquiry on Foxpro Environments, Computer Systems and Applications, Vol.7, No.1, pp34-36, 1995  (in Chinese)

145. G. Han and L. Zhang, Hermite-type method for Volterra integral equation with certain weakly singular kernel, Journal of Computational Mathematics, 13(4):306-314, 1995.

146. G. Han and L. Zhang, Asymptotic error expansion of two-dimensional Volterra integral equation by iterated collocation, Applied Mathematics and Computation, 61(2-3):269-284, 1994. 

147. G. Han and L. Zhang, Asymptotic expansion for the trapezoidal Nystrom method of linear Volterra-Fredholm, Journal of Computational and Applied Mathematics, 51:339-348, 1994

148. S. Zhang, L. Zhang and Y. Liu, Analysis and Design of general enquiries systems based on RQBE, Computers and Micro-electronics technology, 21(3): 25-32,1994.  (in Chinese)

149. L. Zhang, Two-sided approximation to periodic solutions of ordinary differential equations, Numerische Mathematik, 66:399-409, 1993

150. L. Zhang, Phase tracing methods for solving nonlinear systems, Computers and Mathematics with Applications, 26(5):45-50, 1993

151. L. Zhang and G. Han, Optimal homotopy methods for solving nonlinear systems, Part 1, non-singular homotopy paths, Numerische Mathematik, 65:523-528, 1993

152. L. Zhang and G. Han, Structure-variable homotopy methods for solving nonlinear systems, Applied Mathematics and Computation, 59:177-191, 1993.

153. L. Zhang, Spline collocation approximation to periodic solutions of ordinary differential equations, Journal of Computational mathematics, 10(2):147-154, 1992.

154. L. Zhang and Liu Yin, Geometrical Properties of the difference method solution of ordinary differential equations, Journal of South China University of Technology, Vol. 20(2): 16-22, 1992.

155. L. Zhang, Asymptotic expansion and geometric properties of the spline collocation periodic solution of an ODE system, Applied Mathematics and Computation, 42:209-221, 1991

156. L. Zhang, Spline collocation approach to solutions of ngnautonomous differential equation systems, Journal of Computational Mathematics for Chinese University, 13(3): 215-220, 1991.

157. L. Zhang, Bifurcations in linear multi-stage methods, Journal of Computational Mathematics for Chinese University, 13(1): 8-15, 1991 (in Chinese).

158. L. Zhang, Convergence of periodic solutions of ordinary differential equations by using difference methods. Journal of South China University of Technology, 19(1):73-82, 1991.

159. L. Zhang, Continuation of solutions of optimal periodic control problems, Advances in Modeling and Simulation, 20(3):27-33, 1990.

160. Zhang L. Existence and Uniqueness of Solution of Nonlinear Functional-Integral Equations, Journal of Zhongshan Univ., Vol. 28(4), pp49-52, 1989

161. 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

162. 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

163. 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

164. 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

165. 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

166. 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.

167. 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

168. 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

169. 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

170. 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.

171. 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.

172. 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

173. 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

174. 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

175. 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

176. 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.

177. 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.

178. 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.

179. 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.

180. 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.

181. 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.

182. 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.

183. 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.

184. 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

185. 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

186. 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

187. 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

188. 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

189. 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

190. 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

191. L. Zhang, B. Xu and Y. Liu, Unstable periodic orbit control of chaotic dynamical systems, '96 Chinese Control Conference, page 340-344, Aug, 1996.

192. 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.

193. 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.

194. L. Zhang, Monotone Properties of derivative operator of ordinary differential equations. A collection of ordinary differential equations, Academic Press, Beijing, page 189-193, 1994.