教师信息                                                          个人照片
姓      名张召    性      别        男

     

出生年月
    最终学位博士
毕业学校香港城市大学 (City University of Hong Kong)
从事专业多媒体数据挖掘与机器学习,图像处理与计算机视觉
    职      务
所属系计算机与信息学(人工智能学)
 所属科室   (研究所)多媒体计算研究所
    职      称      教授
 联系方式
办公     电话:
Email: cszzhang@gmail.com
通讯     地址: 安徽省合肥市蜀山区丹霞路485号(合肥工业大学翡翠湖校区),计算机与信息学
邮编: 230601
简    历

张 召,男,博士,合肥工业大学“黄山学者”特聘教授,博士生导师,IEEE高级会员/ACM会员/CCF高级会员。2013年7月博士毕业于香港城市大学 (博士导师:Prof. Tommy W.S. Chow,IEEE Fellow),2013年10月至2018年10月在苏州大学计算机学任特聘副教授,2012年2-5月在新加坡国立大学担任访问研究工程师 (合作教授:颜水成,IEEE Fellow、IAPR Fellow),同年9-12月在中科自动化所模式识别国家重点实验室NLPR进行访问研究 (合作教授:刘成林,IEEE Fellow、IAPR Fellow)。

    目前,主要从事多媒体数据挖掘与机器学习、图像处理与计算机视觉等方向的研究,已发表国际期刊和会议论文80余篇,其中主要研究成果以第一作者/通讯作者发表在CCF推荐A/B类期刊与会议或中科SCI一、二区等权威期刊上,包括23篇CCF-A类期刊与会议或SCI一区顶级期刊论文、18篇IEEE/ACM Transactions期刊长文 (含3篇IEEE TIP,6篇IEEE TKDE,2篇IEEE TNNLS,1篇IEEE TSP,1篇IEEE TCSVT,1篇IEEE TCYB,1篇IEEE TBD,2篇IEEE TII,1篇ACM TIST)、3篇Pattern Recognition、7篇Neural Networks、IJCAI、ACM Multimedia、4篇ICDM、ICASSP和ICMR等,1篇ESI高被引论文。已主持国家自然科学基金项目2项、江苏省高校自然科学研究重大项目1项等;已获授权国家发明专利14项、软著13项;相关成果获2014年江苏省科学技术二等奖、2015年江苏省计算机学会青年科技奖、2016年ACM中国新星奖Honorable Mention等;获2017年江苏省“青蓝工程”优秀青年骨干教师培养对象、2017年江苏省“六大人才高峰”高层次人才、2018年江苏省优秀硕士学位论文指导教师等荣誉称号。

    在专业领域活动方面,担任CCF人工智能与模式识别专委会委员、CAAI机器学习专委会委员和CAAI模式识别专委会委员等,现/曾担任国际SCI期刊IEEE Access、Neurocomputing、IET Image Processing等的编委(Associate Editor),现/曾担任国际权威会议ECAI、BMVC、PAKDD和ICTAI等的高级程序委员(SPC)或领域主席(Area Chair),以及10+个国际权威会议的PC (如CVPR、ICCV、IJCAI、AAAI、ACM MM、ICDM和CIKM等), 并多次担任IEEE/ACM Transactions、IJCV和PR等国际顶级期刊的特邀审稿人。


详细个人信息请参见个人主页:http://www.escience.cn/people/cszzhang 


研究方向

多媒体数据挖掘与机器学习、图像处理与计算机视觉。具体包括:表示学习(如高维数据分析与特征提取、稀疏表示与字典学习、低秩表示与复原、深度表示学习)和半监督分类器建模,及其在底层视觉任务(如图像恢复,去噪和增强)和高级视觉任务(如图像分类,聚类,分割,对象检测和识别)中的应用研究。
教学与人才培养工作

1. 目前已指导硕博生2名、硕士生9名(其中3人已毕业)。

2. 指导1名博士生和4名硕士生获学业奖学金特等奖、2名硕士生获国家奖学金、2名硕士生获校级研究生学术标兵、3名硕士生获校级优秀毕业生。

3. 指导1名硕士生获省优秀硕士学位论文、2名硕士生获省研究生创新工程项目(省立省助)。


详细招生信息请参见:http://www.escience.cn/people/cszzhang/MyGroup.html,并请按照要求提交导师申请!


获奖情况


主要论著

[17] Zhao Zhang*, Yan Zhang, Sheng Li, Guangcan Liu, Dan Zeng, Shuicheng Yan and Meng Wang, Flexible Auto-weighted Local-coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), Sep 2019. 

[16] 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. 

[15] Zhao Zhang*,Jiahuan Ren, Weiming Jiang, Zheng Zhang, Richang Hong, Shuicheng Yan and Meng Wang, Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning, IEEE Transactions on Circuits and Systems for Video Technology (IEEE TCSVT), June 2019.

[14] 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.5, no.2, pp.148-165, 2019. 

[13] 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.

[12] 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. 

[11] 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.

[10] 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. 

[9] 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. 

[7] 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. 

[6] 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. 

[5] 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.

[4] 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. 

[3] 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. 

[2] 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. 

[1] 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.