Zhao Zhang 张召

Distinguished Professor at Hefei University of Technology, Ph.D. (CityU EE of Hong Kong)
Research Interests:Data Mining & Machine LearningPattern Recognition & Image Analysis

School of Computer Science and Information Engineering & School of Artificial Intelligence, Hefei University of Technology (合肥工业大学, 简称合工大)

Welcome to visit Zhao (Jared) Zhang's Homepage!


Positions available: I am always looking for self-motivated Master and PhD students to do cutting edge research on multimedia data mining & machine learning, pattern recognition & image analysis. If interested, please email me your CV for consideration.  详见Research Group中招生说明.



Representative Publications (14 IEEE/ACM Transactions):

  1. Zhao Zhang*, Weiming Jiang, Jie Qin, Li Zhang, Fanzhang Li, Min Zhang and Shuicheng Yan, "Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.29, iss.8, pp.3798-3814, August 2018.    

  • Zhao Zhang*, Fanzhang Li, Lei Jia, Jie Qin, Li Zhang and Shuicheng Yan, "Robust Adaptive Embedded Label Propagation with Weight Learning for Inductive Classification," IEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), vol.29, iss.8, pp.3388-3403, August 2018.    

  • Zhao Zhang*, Lei Jia, Mingbo Zhao, Guangcan Liu, Meng Wang and Shuicheng Yan, "Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification," IEEE Transactions on Big Data (IEEE TBD), vol.00, iss.00, pp.00-00, Jan 2018.  

  • Yan Zhang, Zhao Zhang*, Sheng Li, Jie Qin, Guangcan Liu, Meng Wang and Shuicheng Yan, "Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Oct 2018.

  • Zhao Zhang*, Fanzhang Li, Mingbo Zhao, Li Zhang and Shuicheng Yan, "Robust Neighborhood Preserving Projection by Nuclear/L2,1-Norm Regularization for Image Feature Extraction," IEEE Transactions on Image Processing (IEEE TIP), vol.26, iss.4, pp.1607-1622, 2017.   (ESI Highly Cited Paper 高被引论文)

  • Zhao Zhang*, Weiming Jiang, Fanzhang Li, Mingbo Zhao, Bing Li and Li Zhang, "Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation based Robust Classification," IEEE Transactions on Industrial Informatics (IEEE TII), vol.13, iss.2, pp.642-654, April 2017.  

  • Zhao Zhang*, Fanzhang Li, Tommy W.S. Chow, Li Zhang and Shuicheng Yan, "Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation," IEEE Transactions on Signal Processing (IEEE TSP), vol.64, iss.14, pp.3790-3805, July 2016.  

  • Zhao Zhang*, Fanzhang Li, Mingbo Zhao, Li Zhang and Shuicheng Yan, "Joint Low-rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification," IEEE Transactions on Image Processing (IEEE TIP), vol.25, iss.6, pp.2429-2443, June 2016.  

  • Zhao Zhang*, Mingbo Zhao and Tommy W. S. Chow, "Graph based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.27, no.9, pp.2362-2376, Sep 2015.  

  • Zhao Zhang*, Cheng-Lin Liu and Mingbo Zhao, "A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction," ACM Transactions on Intelligent Systems and Technology (ACM TIST), vol.6, no.1, pp.9:1-9:26, April 2015.

  • Zhao Zhang*, Shuicheng Yan and Mingbo Zhao, "Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification," IEEE Transactions on Image Processing (IEEE TIP), vol.22, iss.12, pp.4640-4651, Dec 2013.  

  • Zhao Zhang*, Tommy W. S. Chow and Mingbo Zhao, "M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction," IEEE Transactions on Cybernetics (IEEE TCYB), vol.43, iss.1, pp.180-192, Feb 2013.  

  • Zhao Zhang, Mingbo Zhao and Tommy W. S. Chow*, "Binary- and Multi-Class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.25, iss.10, pp.2192-2205, Oct 2013.  

  • Zhao Zhang, Tommy W. S. Chow* and Mingbo Zhao, "Trace Ratio Optimization based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), vol.25, iss.5, pp.1148-1161, May 2013.  



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