教师名录

张丽清 教授

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办公室电话:+86-21-3420-4423

办公地点:SEIEE-3-435

电子邮件:zhang-lq@cs.sjtu.edu.cn

实验室: 智能计算与智能系统重点实验室、 上海市教委智能交互与认知工程重点实验室

  • 研究兴趣
  • 教育背景
  • 工作经验
  • 教授课程
  • 论文发表
  • 项目资助
  • 获奖信息
  • 学术服务
?  Computational model for Perception and Cognition
Learning and Memory in Cortical Networks, Visual Neural Representation and Coding, Visual Global Feature Analysis; Object Recognition, Multimodal Computational Model
?  Brain-Computer Interface and Brain Signal Processing
Brain EEG Signal Processing, Evoked Potential Analysis and Localization, Brain-Computer System Design, EEG Pattern Recognition, EEG based Person authentication
?  Statistical Learning and Inference
Independent Component Analysis, Sparse Representation, Tensor Factorization and Analysis, Information Geometry
1979~1983  Bachelor Degree, Department of Mathematics, Hangzhou University 
1983~1995  Master Program, Department of Computer Science, Zhongshan University
1985~1988  PhD Degree, Department of Computer Science, Zhongshan University
2002.9~ Now,  Professor, Department of Computer Science, Shanghai Jiao Tong Univ. 
1997.11-2002.08,Research Scientist, RIKEN Brain Science Institute, Japan. 
1995.11-1997.10,Professor, School of Electrics and Information, South China University of Technology   
1990.11-1995.10,  Associate Professor, School of Electrics and Information, South China University of Technology 
1988.07-1990.10,Lecturer, School of Electrics and Information, South China University of Technology
Artificial Intelligence (For undergraduate students) (http://bcmi.sjtu.edu.cn/ai/) 
Statistical Learning (For Graduate Student) (http://bcmi.sjtu.edu.cn/statLearning/)
  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 Priciples, ICIP 2013, Sept. 15-18, Melbourne, Australia
  11. Zhenbang Sun, Changhu Wang, Liqing Zhang, and Lei Zhang, Free Hand-Drawn Sketch Segmentation, 12th European Conference on Computer Vision (ECCV2012), Firenze, Italy, Oct.7-13, 2012 
  12. Zhenbang Sun, Changhu Wang, Liqing Zhang and Lei Zhang, Query-Adaptive Shape Topic Mining for Hand-Drawn Sketch Recognition, ACM Multimedia 2012, Nara, Japan, Oct 29-Nov 2, 2012
  13. Rong Zhou, Liuli Chen and Liqing Zhang, Sketch-based Image Retrieval on a Large Scale Database, ACM Multimedia 2012, Nara, Japan, Oct 29-Nov 2, 2012
  14. Junhua Li and Liqing Zhang, Active training paradigm for motor imagery BCI, Experimental Brain Research,  219(2): 245-254, Apr 5, 2012
  15. Wenjun Zhu, Liqing Zhang, Qianwei Bian, A hierarchical latent topic model based on sparse coding, Neurocomputing,  76(1): 28-35, January 2012
  16. Yang Cao, Wang Changhu, Zhang Liqing, Lei Zhang, Edgel Inverted Index for Large-Scale Sketch-based Image Search, CVPR2011, Colorado Springs, 2011
  17. 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  
  18. 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
  19. 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, pp1605-1608 (Best Demo Award), October 25-29, Firenze, Italy
  20. Yang Cao, Changhu Wang, Zhiwei Li, Liqing Zhang, Lei Zhang, Spatial-Bag-of-Features, CVPR2010, June 14-16, 2010, San Francisco, USA
  21. Cheng Peng, Liqing Zhang, and Teresa Head-Gordon, Instantaneous Normal Modes as an Unforced Reaction Coordinate for Protein Conformational Transitions, Biophysical Journal, 2010 May 19;98(10):2356-64
  22. Jie Li, Liqing Zhang, Regularized tensor discriminant analysis for single trial EEG classification in BCI, Pattern Recognition Letters 31: 619–628, (2010)
  23. 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 
  24. 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
  25. 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  [Algorithm, Data, Citations ]
  26. 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
  27. 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.
  28. Libo Ma, and Liqing Zhang, Overcomplete topographic independent component analysis, Neurocomputing, Volume 71, Issues 10-12, Pages 2217-2223, June 2008
  29. 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
  30. Xiaodi Hou, Liqing Zhang, Color Conceptualization, ACM Multimedia (ACMMM2007), September 24 - 29, 2007, Augsburg, Germany.
  31. Xiaodi  Hou and  Liqing  Zhang, Saliency Detection: A Spectral Residual Approach, IEEE Conf. on Computer Vision and Pattern Recognition (CVPR ’07), 17-22, Minneapolis, MN, USA. June , 2007. [Algorithm, Data, Citations]
  32. 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 [Algorithm, Citations ]
  33. 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 [Algorithm, Citations]  

  1. Mathematical foundation of Statistical Machine Learning for Big Data, Supported by MOST, China, 2015-2019
  2. Visual Event Representation and Recognition in Dynamic Scene, Supported by NSFC, 2013-2015
  3. Multi-dimensional Bilateral Brain Computer Interface and Applications, Supported by NSFC, 2012-2015
  4. Deep Neural Network for Image Denoising, Industrial Cooperation Project, 2013-2014
  5. Vehicle Navigation and Control Strategy Based on Brain Computer Interface, Supported by National Natural Science Foundation of China, 2010-2012


国际刊物编委“International Journal of Computational Intelligence and Neuroscience”
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