赵仲秋的个人简介
工学博士，合肥工业大学计算机与信息学院研究员，硕士生导师。主要研究方向包括模式识别、图像视频分类与理解、数据挖掘等。
基本内容
个人简介：
2000年7月于合肥工业大学获工学学士学位；2004年6月于中国科学院合肥物质科学研究院获模式识别与智能系统专业工学硕士学位；2007年11月于中国科技大学自动化系获模式识别与智能系统专业工学博士学位。
2007年12月~2008年3月在合肥工业大学计算机与信息学院“图像信息处理研究室”从事研究工作；
2008年4月~2009年11月于法国 UNIVERSITE PAUL CEZANNE u2013 AIX-MARSEILLE III 信息与系统科学实验室（CNRS UMR6168 Lab Sciences de l’Information et des Systèmes, LSIS）访问，并从事图像分类与检索研究工作；
2009年12月至今，于合肥工业大学计算机与信息学院工作，2010年11月入选合肥工业大学“数据挖掘与智能计算”研究基地团队人才培育计划，2011年12月入选合肥工业大学计算机与信息学院人才培育“C计划”。
2012年入选“香江学者”计划，2013年1月~2014年12月于香港浸会大学计算机科学系从事合作研究工作。
近年来主持国家自然科学基金青年基金和面上项目、教育部高等学校博士点新教师基金、中国博士后基金特别资助；承担科技部863项目、973子课题、973前期预研专项项目、国家自然科学基金面上项目、国家自然科学基金海外及香港、澳门青年学者合作研究基金、法国国家科研署（ANR）项目等多个项目的研究。近年来，共发表学术论文40余篇，被他人引用共400余次，其中10篇第一作者论文被SCI检索。担任 Pattern Recognition Letters, IEEE Trans. Evolutionary Computation, IEEE Trans. Multimedia, IEEE Trans. Image Processing, Neurocomputing，Computer Vision and Image Understanding，《计算机学报》等期刊的论文审稿人。参编法语专著一部；获授权国家发明专利三项。
主要科研项目：
（1）国家自然科学基金面上项目，“基于耦合判别和协作稀疏表示的图像表征和标注研究”，（No. 61375047，78万元，2014.1-2017.12，主持）
（2）“香江学者”计划，“高维数据下的特征选择及应用”，（No. XJ2012012，30万人民币+30万港币，2013.1-2014.12，主持）
（3）国家自然科学基金青年基金，“约束最大差异投影在基于内容的多样化图像检索中的应用研究”（No. 61005007, 2011.1-2013.12，22万元，主持）
（4）教育部高等学校博士点新教师基金，“基于子域模块分类器的非对称模式分类研究” （No. 200803591024，2009.1-2011.12，3.6万元，主持）
主要论著：
[26]Z.Q. Zhao, Y. Cheung, H. Hu, X. Wu, Corrupted and Occluded Face Recognition via Cooperative Sparse Representation, accepted for publication inPattern Recognition, (doi: 10.1016/j.patcog.2016.02.016,online publication: http://authors.elsevier.com/sd/article/S003132031600087X)
[25] S. Li, Z.H. You, H. Guo, X. Luo,Z.Q. Zhao, "Inverse-Free Extreme Learning Machine With Optimal Information Updating,"IEEE Transactions on Cybernetics, vol.PP, no.99, pp.1-1
doi: 10.1109/TCYB.2015.2434841
[24]Zhong-Qiu Zhao, Yiu-ming Cheung, Haibo Hu, Xindong Wu, Expanding dictionary for robust face recognition: pixel is not necessary while sparsity is,IET Computer Vision, Vol. 9(5), pp.648 u2013654, 2015.
[23] Xindong Wu, Huanhuan Chen, Gong-Qing Wu, Jun Liu, Qinghua Zheng, Xiaofeng He, Aoying Zhou,Zhong-Qiu Zhao, Bifan Wei, Yang Li, Qiping Zhang, Shichao Zhang: Knowledge Engineering with Big Data.IEEE Intelligent Systems30(5): 46-55 (2015)
[22]Zhong-Qiu Zhao, Yan Hong, Peng Zheng, Xindong Wu: Plant identification using triangular representation based on salient points and margin points.ICIP2015: 1145-1149
[21]Zhong-Qiu Zhao, Lin-Hai Ma, Yiu-ming Cheung, Xindong Wu, Yuanyan Tang, Chun Lung Philip Chen, ApLeaf: An efficient android-based plant leaf identification system,Neurocomputing, Volume 151, Part 3, 3 March 2015, Pages 1112-1119, ISSN 0925-2312, http://dx.doi.org/10.1016/j.neucom.2014.02.077.
[20] Jing Wang, Meng Wang, Pei-Pei Li, Luoqi Liu,Zhong-Qiu Zhao, Xuegang Hu, Xindong Wu: Online Feature Selection with Group Structure Analysis.IEEE Trans. Knowl. Data Eng.27(11): 3029-3041 (2015)
[19] Jie Gui, Rongxiang Hu,Zhong-Qiu Zhao, Wei Jia, Semi-supervised learning with local and global consistency,International Journal of Computer Mathematics, Vol. 91, No. 11, 2389u20132402, 2014.
[18]Zhong-Qiu Zhao, Bao-Jian Xie, Yiu-ming Cheung, Xindong Wu, Plant Leaf Identification via A Growing Convolution Neural Network with Progressive Sample Learning,ACCV, 2014.
[17]赵仲秋, 季海峰, 高隽, 胡东辉, 吴信东. 基于稀疏编码多尺度空间潜在语义分析的图像分类,《计算机学报》, 37(6): 1251-1260, 2014.
[16]Z.Q. Zhao, XinDong Wu, CanYi Lu, Herve Glotin, Jun Gao, Optimizing widths with PSO for center selection of Gaussian radial basis function networks,SCIENCE CHINA Information Sciences, Volume 57, Issue 5, pp 1-17, May 2014. DOI: 10.1007/s11432-013-4850-5
[15] Bo Li, Jin Liu,Z.Q. Zhaoand Wen-Sheng Zhang, Locally Linear Representation Fisher Criterion,International Joint Conference on Neural Networks (IJCNN), 2013.
[14] J. Wang,Z.Q. Zhao, X. Hu, Y. Cheung, M. Wang, and X. Wu, Online Group Feature Seclection,23rd International Joint Conference on Artificial Intelligence (IJCAI), 2013. (top conference)
[13]Z.Q. Zhao, H. Glotin, Z. Xie, J. Gao, and X. Wu, "Cooperative Sparse Representation in Two Opposite Directions for Semi-supervised Image Annotation,"IEEE Transactions on Image Processing (TIP), Vol. 21 , Issue 9, pp. 4218 - 4231, 2012 (regular paper).
[12] Can-Yi Lu, Hai Min,Zhong-Qiu Zhao, Lin Zhu, De-Shuang Huang, Shuicheng Yan, Robust and Efficient Subspace Segmentation via Least Squares Regression,European Conference on Computer Vision (ECCV), 2012.(top conference)
[11]Z.Q. Zhao, J.Z. Li , J. Gao, X.D. Wu, “A Modified Semi-Supervised Learning Algorithm on Laplacian Eigenmaps,”Neural Processing Letters, vol. 32(1), 76-82, 2010. (SCI, EI)
[10]Z.Q. Zhao, J. Gao, H. Glotin, X.D. Wu, “A matrix modular neural network based on task decomposition with subspace division by adaptive affinity propagation clustering,”Applied Mathematical Modelling, 34, pp. 3884u20133895, 2010. (SCI, EI)
[9] H. Glotin,Z.Q. Zhao, J. Gao, X.D. Wu, “A Matrix Modular SVM Robust to Imbalanced Dataset for Efficient Visual Concept Detections,”The 11th ACM SIGMM International Conference on Multimedia Information Retrieval (ACM MIR 2010), March 29-31, 2010, National Constitution Center, Philadelphia, Pennsylvania, USA. (EI)
[8]Z.Q. Zhao, H. Glotin, “Diversifying Image Retrieval by Affinity Propagation Clustering on Visual Manifolds,”IEEE Mutimedia, vol. 16, no. 4, pp. 34-43, 2009. (SCI, EI)
[7]Z.Q. Zhao, “A Novel Modular Neural Network for Imbalanced Classification Problems,”Pattern Recognition Letters, Vol.30, No.9, pp. 783-788, 2009. (SCI, EI)
[6]Z.Q. Zhao, D.S. Huang, and W. Jia, “Palmprint Recognition with 2DPCA+PCA Based on Modular Neural Networks,”Neurocomputing，Vol. 71(1-3), pp. 448-454, 2007. (SCI, EI)
[5]Z.Q. Zhaoand D.S. Huang, “A mended hybrid learning algorithm for radial basis function neural networks to improve generalization capability,”Applied Mathematics Modelling, Vol. 31(7), pp. 1271-1281, 2007. (SCI, EI)
[4]Z.Q. Zhao, D.S. Huang, B. Y. Sun, “Human face recognition based on multiple features using neural networks committee,”Pattern Recognition Letters, Vol.25(12), pp.1351-1358, 2004. (SCI, EI)
[3]Z.Q. Zhao, H. Glotin, “Enhancing Visual Concept Detection by a Novel Matrix Modular Scheme on SVM,”Lecture Notes in Computer Science, Vol.5706, No.1, pp. 640u2013643, 2009 (EI)
[2] H. Glotin,Z.Q. Zhao, S. Ayache, “Efficient Image Concept Indexing by Harmonic and Arithmetic Profiles Entropy,”Proceedings of 2009 IEEE International Conference on Image Processing (ICIP 2009), IEEE Signal Processing Society, pp.277-280, 2009. (EI)
[1] H. Glotin,Z.Q. Zhao, “Visual Affinity Propagation Improves Sub-topics Diversity without Loss of Precision in Web Photo Retrieval,”Lecture Notes in Computer Science, Vol.5706, No.1, pp. 628u2013631, 2009. (EI)
