張 召，男，博士，合肥工業大學 “黃山學者” 特聘教授，博士生導師，IEEE高級會員/ACM會員/CCF高級會員。2013年7月博士畢業于香港城市大學電子工程學系 (博士導師：Prof. Tommy W.S. Chow，IEEE Fellow)，2013年10月至2018年10月在蘇州大學計算機科學與技術學院任特聘副教授，2012年2-5月在新加坡國立大學計算機系擔任訪問研究工程師 (合作教授：顏水成，IEEE Fellow、IAPR Fellow)，同年9-12月在中科院自動化所模式識別國家重點實驗室NLPR進行訪問研究 (合作教授：劉成林，IEEE Fellow、IAPR Fellow)。

    目前，主要從事多媒體數據挖掘與機器學習、圖像處理與模式識別等方向的研究，已發表國際期刊和會議論文80余篇，其中主要成果以第一作者或通訊作者發表在中科院SCI一、二區或CCF推薦A/B類等權威期刊與會議上，包括19篇CCF-A類或SCI一區頂級期刊論文、16篇IEEE/ACM Transactions期刊論文 (含3篇IEEE TIP，5篇IEEE TKDE，2篇IEEE TNNLS，1篇IEEE TCYB，1篇IEEE TSP，1篇IEEE TBD，2篇IEEE TII，1篇ACM TIST)、3篇Pattern Recognition、6篇Neural Networks、ICDM、ICASSP、ICMR、ICPR和ICIP等，1篇ESI高被引論文。近年來，主持國家自然基金項目2項、江蘇省高校自然科學研究重大項目1項、中國博士后基金特別資助和面上項目各1項；已獲授權國家發明專利9項、軟件著作權10余項；相關成果獲2014年江蘇省科學技術二等獎、2015年蘇州市高等院校緊缺高層次人才引進獎勵、2015年江蘇省計算機學會青年科技獎、2016年ACM中國新星獎Honorable Mention等；獲2017年江蘇省“青藍工程”優秀青年骨干教師培養對象、2017年江蘇省“六大人才高峰”高層次人才、2018年江蘇省優秀碩士學位論文指導教師。

    在專業領域活動方面，目前擔任CCF人工智能與模式識別專委會委員、CAAI模式識別專委會委員等；擔任國際SCI期刊IEEE Access、Neurocomputing、IET Image Processing等的編委(Associate Editor)；現/曾擔任國際權威會議PAKDD 2019/2018/2017的高級程序委員(Senior PC), BMVC 2019/2018/2016/2015、ICTAI 2018的領域主席(Area Chair), 以及CVPR、ICCV、IJCAI、AAAI、ICDM、SDM、ICPR、PRICAI、PAKDD等的PC, 并多次擔任IEEE TNNLS、TIP、TKDE、TSP、TCYB、TCSVT、TMM、Pattern Recognition、Neural Networks等國際頂級期刊的特邀審稿人。

詳細信息請參見個人主頁：http://www.escience.cn/people/cszzhang

1. 目前已指導碩博生1名、碩士生8名（其中2人已畢業）。

2. 指導1名博士生和4名碩士生獲學業獎學金特等獎、2名碩士生獲國家獎學金、2名碩士生獲校級研究生學術標兵、2 名碩士生獲校級優秀畢業生。

3. 指導1名碩士生獲省優秀碩士學位論文、2名碩士生獲省研究生創新工程項目（省立省助）。

[1] Zhao Zhang*, Yan Zhang, Guangcan Liu, Jinhui Tang, Shuicheng Yan and Meng Wang, "Joint Label Prediction based Semi-Supervised Adaptive Concept Factorization for Robust Data Representation," IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Jan 2019. 

[2] 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.

[3] 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. 

[4] 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), Jan 2018. 

[5] 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.

[6] 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. 

[7] 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. 

[8] 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. 

[9] 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. 

[10] 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. 

[11] 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.

[12] 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. 

[13] 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. 

[14] 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. 

[15] 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.