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Selected Publications | | Full List of
Publications 1. J.
Chen, L. Niu and L. Zhang, "Depth Privileged Scene
Recognition via Dual Attention Hallucination," in IEEE
Trans. on Image Processing, vol. 30, pp. 9164-9178, 2021. 2. J.
Li, L. Liu, L. Niu and L. Zhang, "Memorize, Associate and
Match: Embedding Enhancement via Fine-Grained Alignment for Image-Text
Retrieval," in IEEE Transactions on Image Processing,
vol. 30, pp. 9193-9207, 2021 3. Jianfu Zhang, Li Niu,
Liqing Zhang, "Person
Re-Identification with Reinforced Attribute Attention Selection", IEEE
Transactions on Image Processing, 30: 603-616 (2021) 4. Zhangxuan Gu, Li Niu,
Haohua Zhao, Liqing
Zhang, "Hard Pixel Mining for
Depth Privileged Semantic Segmentation", IEEE Transactions on
Multimedia, 2021. 5. Dawei Cheng, Xiaoyang
Wang, Ying Zhang, Liqing Zhang, “Graph
Neural Network for Fraud Detection via Spatial-temporal Attention”, IEEE Transactions on Knowledge and Data Engineering,
2021. 6. Dawei Cheng, Zhibin
Niu, Liqing Zhang, “Delinquent
Events Prediction in Temporal Networked-Guarantee Loans”, IEEE Transactions on Neural Networks and Learning Systems,
2021. 7. Yiyi Zhang, Yasushi Makihara,
Daigo Muramatsu, Jianfu Zhang, Li Niu, Liqing Zhang, Yasushi Yagi: Learn to Walk Across Ages: Motion Augmented Multi-Age Group Gait
Video Translation. IEEE Access 9: 40550-40559 (2021) 8. 程大伟, 牛志彬, 刘新海, 张丽清, 复杂担保网络中传染路径的风险评估,中国科学: 信息科学2021 年 9. Junjie Chen · Li Niu · Liu Liu · Liqing Zhang,
Weak-shot
Fine-grained Classification via Similarity Transfer, NeurIPS2021 10. Yan Liu · Zhijie
Zhang · Li Niu · Junjie Chen · Liqing Zhang, Mixed Supervised
Object Detection by Transferring Mask Prior and Semantic Similarity,
NeurIPS2021 11. Wentao Wang, Jianfu
Zhang, Li Niu, Haoyu
Ling, Xue Yang, Liqing
Zhang, "Parallel
Multi-Resolution Fusion Network for Image Inpainting", ICCV, 2021. pp. 14559-14568 12. Lu
He, Qianyu Zhou, Xiangtai
Li, Li Niu, Guangliang
Cheng, Xiao li, Wenxuan Liu, Yunhai
Tong, Lizhuang Ma, Liqing
Zhang, End-to-End Video Object
Detection with Spatial-Temporal Transformers, ACMM2021, Oct 20-24, 2021,
Chengdu, China 13. Jiangtong Li, Wentao
Wang, Junjie Chen, Li Niu,
Jianlou Si, Chen Qian, Liqing
Zhang , Video Semantic
Segmentation with Sparse Temporal Transformer, ACMM2021, Oct 20-24, 2021,
Chengdu, China 14. Jing
Liang, Li Niu, Fengjun
Guo, Teng Long, Liqing Zhang, Visible Watermark
Removal via Self-calibrated Localization and Background Refinement, ACMM2021,
Oct 20-24, 2021, Chengdu, China 15. Zhijie Zhang, Yan Liu, Junjie
Chen, Li Niu, Liqing
Zhang."Depth
Privileged Object Detection in Indoor Scenes via Deformation Hallucination",
AAAI, 2021 16. Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang."Activity
Image-to-Video Retrieval by Disentangling Appearance and Motion",
AAAI, 2021 17. Ziqi Pan, Li Niu,
Jianfu Zhang, Liqing
Zhang. "Disentangled
Information Bottleneck", AAAI, 2021 18. Bo Zhang, Li Niu, Liqing Zhang, “Image Composition Assessment with
Saliency-augmented Multi-pattern Pooling”, BMVC2021. 19. 程大伟、牛志彬、张丽清，大规模不均衡担保网络贷款的风险研究，计算机学报，Vol 43, No. 4,
pp668-682, 2020.4 20.
Zhang J, Yang P, Wang W, Yan Hong; Liqing Zhang. Image Editing
via Segmentation Guided Self-Attention Network[J]. IEEE Signal
Processing Letters, 2020, 27: 1605-1609. 21. Yi
Tu, Li Niu, Junjie Chen, Dawei Cheng, Liqing Zhang: Learning From
Web Data With Self-Organizing Memory Module. CVPR 2020:
12843-12852 22. Wenyan Cong, Jianfu
Zhang, Li Niu, Liu Liu, Zhixin Ling, Weiyuan Li, Liqing Zhang: DoveNet:
Deep Image Harmonization via Domain Verification. CVPR 2020:
8391-8400 23. Yi
Tu, Li Niu, Weijie Zhao, Dawei Cheng, Liqing Zhang: Image Cropping with Composition and
Saliency Aware Aesthetic Score Map. AAAI 2020: 12104-12111 24. Ruicong Xu, Li Niu, Jianfu Zhang, Liqing Zhang: A Proposal-Based Approach for
Activity Image-to-Video Retrieval. AAAI 2020: 12524-12531 25. Yiyi Zhang, Li Niu,
Ziqi Pan, Meichao Luo, Jianfu Zhang, Dawei Cheng, Liqing Zhang: Exploiting
Motion Information from Unlabeled Videos for Static Image Action Recognition.
AAAI 2020: 12918-12925 26. Zhangxuan Gu, Siyuan
Zhou, Li Niu, Zihan Zhao,
Liqing Zhang: Context-aware
Feature Generation for Zero-shot Semantic Segmentation. ACM
Multimedia 2020: 1921-1929 27. Yan
Hong, Li Niu, Jianfu
Zhang, Weijie Zhao, Chen Fu, Liqing
Zhang: F2GAN:
Fusing-and-Filling GAN for Few-shot Image Generation. ACM
Multimedia 2020: 2535-2543 28. Dawei Cheng, Fangzhou
Yang, Xiaoyang Wang, Ying Zhang, Liqing Zhang: Knowledge
Graph-based Event Embedding Framework for Financial Quantitative Investments.
SIGIR 2020: 2221-2230 29. Dawei Cheng, Xiaoyang
Wang, Ying Zhang, Liqing Zhang: Risk Guarantee
Prediction in Networked-Loans. IJCAI 2020: 4483-4489 30.
Dawei
Cheng, Sheng Xiang, Chencheng Shang, Yiyi Zhang, Fangzhou Yang, Liqing Zhang: Spatio-Temporal
Attention-Based Neural Network for Credit Card Fraud Detection. AAAI
2020: 362-369 31.
Li Niu, Jianfei Cai, A. Veeraraghavan, Liqing Zhang: Zero-Shot Learning via Category-Specific
Visual-Semantic Mapping and Label Refinement. IEEE Trans. Image Processing
28(2): 965-979 (2019) 32.
Dawei
Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang: BHONEM:
Binary High-Order Network Embedding Methods for Networked-Guarantee Loans. J. Comput. Sci. Technol. 34(3): 657-669 (2019) 33.
Jianfu
Zhang, Yuanyuan Huang, Yaoyi Li, Weijie Zhao, Liqing Zhang: Multi-Attribute Transfer via
Disentangled Representation. AAAI 2019: 9195-9202 34.
Dawei
Cheng, Yi Tu, Zhen-Wei Ma, Zhibin Niu, Liqing Zhang: Risk
Assessment for Networked-guarantee Loans Using High-order Graph Attention
Representation. IJCAI 2019: 5822-5828 35.
Jianfu
Zhang, Li Niu, Dexin
Yang, Liwei Kang, Yaoyi
Li, Weijie Zhao, Liqing Zhang: GAIN: Gradient
Augmented Inpainting Network for Irregular Holes. ACM Multimedia 2019:
1870-1878 36.
Dawei
Cheng, Yiyi Zhang, Fangzhou
Yang, Yi Tu, Zhibin Niu, Liqing Zhang: A Dynamic Default Prediction Framework for
Networked-guarantee Loans. CIKM 2019: 2547-2555 37.
Zhangxuan Gu,
Jianfu Zhang, Ziqi Pan, Haohua Zhao, Liqing Zhang:
Clothes Keypoints Localization and Attribute
Recognition via Prior Knowledge. ICME 2019: 550-555 38.
Ran Li, Nayun
Xu, Xutong Lu, Yucheng Xing, Haohua
Zhao, Li Niu and Liqing Zhang，Multi-person 3D Pose Estimation from Monocular Image Sequences, ICONIP
2019, Sydney, NSW, Australia, December 12–15,
2019. 39.
Zhang J, Wang N, Zhang L. Multi-shot
Pedestrian Re-identification via Sequential Decision Making，CVPR 2018, Salk Lake City, June
18-22. 40.
Z. Zhou, Xiu
Di, Wei Zhou and Liqing Zhang. Fashion Sensitive Clothing Recommendation
Using Hierarchical Collocation Model. ACMMM2018, PP 1119-1127, Seoul,
Republic of Korea — October 22 - 26, 2018 41.
Zhang K, Zhang L. Extracting
hierarchical spatial and temporal features for human action recognition[J]. Multimedia
Tools & Applications, July 2018, Vol.77(13), pp 16053–16068 42.
D. Cheng, Y. Liu, Z. Niu and L. Zhang, "Modeling Similarities Among
Multi-Dimensional Financial Time Series," in IEEE Access, vol. 6,
pp. 43404-43413, 2018. doi:
10.1109/ACCESS.2018.2862908 43.
D. Cheng, Y. Tu, Z. Niu
and L. Zhang, "Learning Temporal Relationships Between Financial
Signals," ICASSP2018, Calgary, AB, 2018, pp. 2641-2645. doi: 10.1109/ICASSP.2018.8462330 44.
D. Cheng, Y. Liu and L. Zhang,
"Exploring Motor Imagery EEG Patterns for Stroke Patients with Deep
Neural Networks," ICASSP2018, Calgary, AB, 2018, pp.
2561-2565. 45.
Yuanyuan Huang, Jianfu
Zhang, Haohua Zhao, and Liqing Zhang,
Attention-Based Network for Cross-View Gait Recognition, 25th International
Conf. on Neural Information Processing (ICONIP 2018), Siem
Reap, Cambodia, Dec. 13 - 16, 2018 46. Xiaobo Li, Haohua Zhao and Liqing Zhang,
Recurrent RetinaNet: A Video Object Detection Model
Based on Focal Loss, 25th International Conf. on Neural Information
Processing (ICONIP 2018), Siem
Reap, Cambodia, Dec. 13 - 16, 2018 47. D. Cheng, Z. Niu, Y. Tu and L. Zhang, "Prediction Defaults for
Networked-guarantee Loans," 24th International Conference on Pattern
Recognition (ICPR), Beijing,
2018, pp. 361-366. doi: 10.1109/ICPR.2018.8545474 48. Zhang, Keting & Xue, Weichen & Zhang, Liqing. (2017). Non-blind image
deconvolution using deep dual-pathway rectifier neural network. ICASSP2017,
pp2602-2606. 10.1109/ICASSP.2017.7952627. 49. Zhang, Keting & Xue, Weichen & Zhang, Liqing. (2017). Supervised
Dictionary Learning with Smooth Shrinkage for Image Denoising，《Neural Processing Letters》，2017 (11) :1-14 50. Zhang, Keting ;Zhang,
Liqing, Extracting hierarchical spatial and
temporal features for human action recognition, MULTIMEDIA TOOLS AND
APPLICATIONS, 2017.09, Vol. 51. Zhou, Z. & Zhang, L,
Content-Based Image Retrieval Using Iterative Search， Neural Process Lett
(2017). https://doi.org/10.1007/s11063-017-9662 52. Ding Z., Zhou Z., Zhang
L. (2017) Deep Encoding Features for Instance Retrieval. In: Liu D., Xie S., Li Y., Zhao D., El-Alfy
ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in
Computer Science, vol 10636. Springer, 53. Zhou L., Zhou Z., Zhang
L. (2017), Deep Part-Based Image Feature for Clothing Retrieval. In: Liu D., Xie S., Li Y., Zhao D., El-Alfy
ES. (eds) Neural Information Processing. ICONIP 2017. Lecture Notes in
Computer Science, vol 10636. Springer 54. Li X., Zhao H., Zhang L.
(2017) Pedestrian Counting System Based on Multiple Object Detection and
Tracking. In: Liu D., Xie S., Li Y., Zhao D., El-Alfy ES. (eds) Neural Information Processing. ICONIP
2017. Lecture Notes in Computer Science, vol 10636. pp. 84–94, 2017 55. Y. Liu, Zhang, H.; Chen,
M.; Zhang, L., A Boosting-Based Spatial-Spectral Model for Stroke Patients'
EEG Analysis in Rehabilitation Training, IEEE Trans Neural Systems and
Rehabilitation Engineering, 24 (1), pp169-179, 2016 (IF= 3.188) 56. Q. Zhao, G. Zhou, Liqing
Zhang, A. Cichocki, S. Amari, Bayesian Robust
Tensor Factorization for Incomplete Multiway Data, IEEE Transactions on
Neural Networks and Learning Systems, VOL. 27, NO. 4, pp736-748, APRIL 2016
(IF=4.291) 57. Keting Zhang, Weichen Xue, Liqing Zhang,
NON-BLIND IMAGE DECONVOLUTION USING DEEP DUAL-PATHWAY RECTIFIER NEURAL
NETWORK, ICASSP2017, 58. Li; Y. Wang; L. Zhang; A.
Cichocki; T. P. Jung, "Decoding EEG in
Cognitive Tasks with Time-frequency and Connectivity Masks," in IEEE
Transactions on Cognitive and Developmental Systems ,
vol.PP, no.99, 59. Zhengzhong Zhou, Liqing Zhang, Demand-adaptive Clothing Image Retrieval
Using Hybrid Topic Model, ACM MULTIMEDIA 2016, 15 - 19 October 2016,
Amsterdam, Netherlands. 60. Ye Liu, Qibin Zhao and Liqing Zhang,
Higher-order Correlation Coefficient Analysis for EEG-based Brain-Computer
Interface, 22nd European Conference on AI (ECAI2016), Aug. 29 – Sep. 2, 2016, Hague,
Netherlands. 61. Jingjin Zhou, Zhengzhong Zhou, Liqing Zhang, Hierarchical Semantic
Classification and Attribute Relations Analysis with Clothing Region
Detection, MUE2016, April 20-22, 2016, Beijing, China. 62. Zhengzhong Zhou, Yifei Xu, Jingjin Zhou, Liqing Zhang, Interactive Image Search for Clothing
Recommendation, ACMMM demo 2016, 15 - 19 October 2016, Amsterdam,
Netherlands. 63. Zhengzhong Zhou and Liqing Zhang, Content-based Image Retrieval Using Deep
Search, ICONIP2016, October 16 -21, 2016, Kyoto, Japan 64. Weichen Xue
and Liqing Zhang, Encoding Multi-resolution
Two-stream CNNs for Action Recognition, ICONIP2016, October 16-21, 2016,
Kyoto, Japan 65. Kang Fu, Dawei Cheng, Yi Tu, and Liqing Zhang, Credit Card Fraud
Detection Using Convolutional Neural Network, ICONIP2016, October 16-21,
2016, Kyoto, Japan 66. Qibin Zhao, Liqing Zhang, and Andrzej Cichocki,
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank
Determination, IEEE PAMI, 2015, Vol.37, No.9: 1751 - 1763, 2015 67. Qibin Zhao, Guoxu Zhou, Liqing Zhang,
Andrzej Cichocki, Shun-ichi
Amari, Bayesian Robust Tensor Factorization for Incomplete Multiway Data,
IEEE Transactions on Neural Networks and Learning Systems, 2015, Accepted 68. Liu, Y.; Zhang, H.; Chen,
M.; Zhang, L., A Boosting-Based Spatial-Spectral Model for Stroke Patients'
EEG Analysis in Rehabilitation Training, IEEE Trans Neural Systems and
Rehabilitation Engineering, Year: 2015,,Accepted
DOI: 10.1109/TNSRE.2015.2466079 69. Ye Liu, Qibin Zhao, and Liqing Zhang, Uncorrelated
Multiway Discriminant Analysis of EEG Motor Imagery Classification,
International Journal of Neural Systems, Vol. 25, No. 4 (2015) 1550013 (14
pages) 70. Haohua Zhao · Jun Luo · Zhiheng Huang, Takefumi
Nagumo · Jun Murayama ·
Liqing Zhang, Statistically Adaptive Image Denoising Based on Overcomplete
Topographic Sparse Coding, Neural Process Lett (2015) 41:357–369 71. Junhua Li, Zbigniew R. Struzik,
Liqing Zhang, Andrzej Cichocki:
Feature learning from incomplete EEG with denoising autoencoder. Neurocomputing,
Volume 165, October 2015, pp23-31 72. JieWu , ChanghuWang,
Liqing Zhang, Yong Rui, Offline Sketch Parsing via Shapeness Estimation, IJCAI 2015, pp 1200-1207, Buenos
Aires, Argentina, July 25-31, 2015. 73. Chaoyang Wang, Long Zhao,
Shuang Liang, Liqing Zhang, Jinyuan
Jia, Yichen Wei, Object Proposal by Multi-branch
Hierarchical Segmentation, CVPR 2015, pp 3873-3881June 7-12, Boston, USA 74. Changcheng Xiao, Changhu Wang, Liqing Zhang, Lei Zhang, IdeaPanel: A Large Scale
Interactive Sketch-based Image Search System", ICMR2015: 667-668, June
23-26 Shanghai, China 75. Changcheng Xiao, Changhu Wang, Liqing Zhang, Lei Zhang, Sketch-based Image
Retrieval via Shape Words, ICMR2015: 571-574, June 23-26 Shanghai, China 76. Changcheng Xiao, Changhu Wang, Liqing Zhang: PPTLens: Create Digital Objects with Sketch Images. ACM
Multimedia, Demo, 2015: 745-746, Oct. 26 – 30, 2015, Brisbane, Australia 77. Haoran Wang, Zhengzhong Zhou, Changcheng
Xiao and Liqing Zhang, Content Based Image Search
for Clothing Recommendations in E-Commerce, page252-267, in Multimedia Data
Mining and Analytics, Baughman, A., Gao, J., Pan, J.-Y., Petrushin,
V.A. (Eds.), Springer 2015 78. Jie Wu, Changhu
Wang, Liqing Zhang, Yong Rui, Sketch Recognition
with Natural Correction and Editing, AAAI 2014, Jul 27-31, 2014, Québec, Canada 79. 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 80. 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 81. Qiang Wu, Liqing
Zhang, Andrzej Cichocki, Multifactor sparse feature
extraction using Convolutive Nonnegative Tucker Decomposition, Neurocomputing
129 (2014)17–24 82. 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 83. 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 84. 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 85. 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 86. 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 87. Jie Wu and Liqing Zhang, GESTALT SALIENCY: SALIENT REGION DETECTION
BASED ON GESTALT PRINCIPLES, ICIP 2013, Sept. 15-18, Melbourne, Australia 88. 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. 89. 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. 90. 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. 91. 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. 92. 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 93. 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 94. 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 95. 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 96. 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 97. 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. 98. 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. 99. Junhua Li and Liqing
Zhang, Active training paradigm for motor imagery BCI, Experimental Brain
Research, 219(2): 245-254, 2012
Apr 5. 100. Wenjun Zhu
, Liqing
Zhang, Qianwei Bian, A
hierarchical latent topic model based on sparse coding, Neurocomputing,
76(1):28-35, January 2012 101. 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 102. 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 103. Yang Cao, Wang Changhu, Zhang Liqing, Lei
Zhang, Edgel Inverted Index for Large-Scale
Sketch-based Image Search, CVPR2011, Colorado Springs, 2011 104. 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 105. 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 106. 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 107. 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
108. 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
109. 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 110. 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 111. 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 112. 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 113. Junhua Li and Liqing Zhang, Bilateral Adaptation and Neurofeedback for
Brain Computer Interface system, Journal of Neuroscience Methods 193: 373–379, (2010) 114. 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 115. Jie Li, Liqing
Zhang, Regularized tensor discriminant analysis for single trial EEG
classification in BCI, Pattern Recognition Letters 31: 619–628, (2010) 116. 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 117. 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 118. 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. 119. 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. 120. 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. 121. 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 122. 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) 123. 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 124. Qibin Zhao, Liqing Zhang & Andrzej Cichocki,
Common Tensor Discriminant Analysis for EEG Classification, NOLTA2009, 125. 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 126. 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. 127. 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. 128. 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. 129. 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 130. 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 131. 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 132. 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 133. 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 134. 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 135. 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 136. 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 137. 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 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 138. 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. 139. Libo Ma, and Liqing Zhang, Overcomplete
topographic independent component analysis, Neurocomputing, Volume
71, Issues 10-12, Pages 2217-2223, June 2008 140. 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 141. 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 142. 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. 143. Wenlu Yang, and Liqing Zhang,
Spatiotemporal
Feature Extraction Based on Invariance Representation, IJCNN2008,
pp928-935, Hongkong, 2008 144. Qibin Zhao, Liqing Zhang, Andrzej Cichocki
and Jie Li,
Incremental
Common Spatial Pattern Algorithm for BCI, IJCNN2008, pp2657-2660,
Hongkong, 2008 145. Qiang Wu and Liqing
Zhang, Nonnegative Tensor PCA and Application to Speaker Recognition in Noise
Environments, ICNC2008, pp187-191, Jinan, China 146. Qi Zhou, Liqing Zhang and Libo Ma, Learning
topographic sparse coding through similarity function, ICNC2008, pp241-245,,
Jinan, China 147. Xiaodi Hou, Liqing
Zhang, Color Conceptualization, ACM Multimedia (ACMMM2007),
September 24 - 29, 2007, Augsburg, Germany. 148. 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 149. 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 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. 150. 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 151. 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 152. 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 153. 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 154. 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 155. 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 156. 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. 157. 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.) 158. 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.) 159. 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.) 160. 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 161. 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 162. 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 163. 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. 164. 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. 165. 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 166. 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 167. 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 168. 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 169. 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. 170. 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 171. 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. 172. Liqing Zhang, Sparse
Representation and Synaptic Adaptation of Visual Sensory System, Proc of
ICNN&B, pp1961-1965, IEEE Press, Beijing, 2005. 173. 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 174. Wenlu Yang and Liqing Zhang, Microbial Communities DNA Sequences
Classification Based on Transition Matrix, Proc of ICNN&B, pp722-727,
IEEE Press, Beijing 2005. 175. Zhang Hao, Zhang Liqing,
ECG Analysis Based on PCA And Support Vector Machines, Procs of ICNN&B,
pp743-747, IEEE Press, Beijing 2005. 176. 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. 177. 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 178. 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 179. L. Zhang, Temporal
Independent Component Analysis for Separating Noisy Signals, Neural
Information Processing: LNCS3316, pp1064-1069, ICONIP 2004, Calcutta, India,
November 22-25, 2004. 180. 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. 181. 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 182. 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 183. 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 184. 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 185. 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. 186. Y. Li, Cichocki A, Zhang LQ, Blind separation and extraction of
binary sources 187. 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 198-205 188. 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, 189. L. Zhang S. Amari and A. Cichocki, Semi-parametric Model and Superefficiency
in Blind Deconvolution, Signal Processing, 81:2535-2553, 2001 190. 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. 191. 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). 192. 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. 193. 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. 194. 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 195. 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. 196. 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. 197. 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 198. 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 199. 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 200. 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 201. 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 202. 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 203. 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 204. 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 205. 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 206. 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 207. 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 208. B. Xu, L. Zhang and Y.
Liu, General templates design of management information systems, Computer
Engineering and Applications, 34(4): 47-56, 1998 209. 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. 210. 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 211. 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 212. G. Han, L. Zhang,
Asymptotic expansion for discrete collocation solution of Hammerstein
integral equation of mixed type, Acta Math. Appl.,19:621-626, 1996 213. L. Zhang, Monotone homotopy method for periodic solutions of dynamical
systems. Journal of South China University of Tech, 24(6):51-57, 1996. 214. 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. 215. 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. 216. 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. 217. 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. 218. 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. 219. 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) 220. 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. 221. 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. 222. 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 223. 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) 224. L. Zhang, Two-sided
approximation to periodic solutions of ordinary differential equations, Numerische Mathematik,
66:399-409, 1993 225. L. Zhang, Phase tracing
methods for solving nonlinear systems, Computers and Mathematics with
Applications, 26(5):45-50, 1993 226. L. Zhang and G. Han,
Optimal homotopy methods for solving nonlinear
systems, Part 1, non-singular homotopy paths, Numerische Mathematik,
65:523-528, 1993 227. L. Zhang and G. Han,
Structure-variable homotopy methods for solving
nonlinear systems, Applied Mathematics and Computation, 59:177-191, 1993. 228. L. Zhang, Spline
collocation approximation to periodic solutions of ordinary differential
equations, Journal of Computational mathematics, 10(2):147-154, 1992. 229. 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. 230. 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 231. L. Zhang, Spline
collocation approach to solutions of ngnautonomous
differential equation systems, Journal of Computational Mathematics for
Chinese University, 13(3): 215-220, 1991. 232. L. Zhang, Bifurcations in
linear multi-stage methods, Journal of Computational Mathematics for Chinese
University, 13(1): 8-15, 1991 (in Chinese). 233. 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. 234. L. Zhang, Continuation of
solutions of optimal periodic control problems, Advances in Modeling and
Simulation, 20(3):27-33, 1990. 235. Zhang L. Existence and
Uniqueness of Solution of Nonlinear Functional-Integral Equations, Journal of
Zhongshan Univ., Vol. 28(4), pp49-52, 1989 236. 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 237. 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 238. 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 239. 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 240. 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. 241. 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 242. 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 243. 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 244. 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. 245. 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. 246. 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 247. 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 248. 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 249. 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 250. 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. 251. 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. 252. 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. 253. 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. 254. 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. 255. Cichocki, A.,,
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. 256. Cichocki, A.,,
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. 257. Cichocki, A., 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. 258. 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 259. L. Zhang and A. Cichocki, Blind Separation/Deconvolution of Sources Using
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