人物信息
張 召，男，博士，蘇州大學特聘副教授，碩士生導師，IEEE高級會員/ACM會員/CCF高級會員/CAAI高級會員，江蘇省“六大人才高峰”高層次人才，江蘇省“青藍工程”優秀青年骨幹教師培養對象。2013年獲香港城市大學電子工程學系 (EE) 博士學位，2012年2-5月在新加坡國立大學Learning & Vision (LV) Research Group擔任訪問研究工程師 (合作教授：Prof. Shuicheng Yan 顏水成，IEEE Fellow、IAPR Fellow，現任奇虎360人工智慧研究院院長、首席科學家)，同年9-12月在中科院自動化所模式識別國家重點實驗室進行訪問研究 (合作教授：Prof. Cheng-Lin Liu 劉成林, IEEE Fellow、IAPR Fellow，現任自動化研究所副所長、國家重點實驗室主任)。
研究方向
My current research interests mainly consist of Data Mining&Machine Learning, Pattern Recognition&Image Analysis.More specifically, I am interested in:
(1) Traditional High-dimensional Data Analysis:Subspace Learning, Manifold Learning and Dimensionality Reduction, with application to Data Visualization, Clustering andClassification.
(2) Low-Rank Coding/Dictionary Learning/SparseCoding:Sparse and Low-Rank Signal Recovery, Representation, De-nosing, Compression andClassification.
(3) Graph basedSemi-Superv ised Classification: Advanced RobustLabel Propagation for Transductive and InductiveClassification.
(4) Applications of DeepLearning:Convolutional Neural Networks (CNN) and Deep Dictionary Learning for Representation andClassification.
主要論著
代表性論文節選：
•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.00, iss.00, pp.00-00, August 2017.
•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.00, iss.00, pp.00-00, July 2017.
•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.
•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, April 2017.
•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,April2017.
•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, Sep2015.
•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.
