趙仲秋，1977年9月出生於江蘇靖江，畢業於中國科學技術大學。
工學博士，合肥工業大學計算機與信息學院研究員，碩士生導師。主要研究方向包括模式識別、圖像視頻分類與理解、數據挖掘等。
基本介紹
- 中文名：趙仲秋
- 國籍：中國
- 民族：漢
- 出生地：江蘇靖江
- 出生日期：1977.9
- 職業：教師
- 畢業院校：中國科學技術大學
- 學位：博士
- 工作單位：合肥工業大學
個人簡介,主要科研項目,主要論著,
個人簡介
2000年7月於合肥工業大學獲工學學士學位；2004年6月於中國科學院合肥物質科學研究院獲模式識別與智慧型系統專業工學碩士學位；2007年11月於中國科技大學自動化系獲模式識別與智慧型系統專業工學博士學位。
2007年12月~2008年3月在合肥工業大學計算機與信息學院“圖像信息處理研究室”從事研究工作；
2008年4月~2009年11月於法國 UNIVERSITE PAUL CEZANNE – AIX-MARSEILLE III 信息與系統科學實驗室（CNRS UMR6168 Lab Sciences de l'Information et des Systèmes, LSIS）訪問，並從事圖像分類與檢索研究工作；
2009年12月至今，於合肥工業大學計算機與信息學院工作，2010年11月入選合肥工業大學“數據挖掘與智慧型計算”研究基地“千人計畫”團隊人才培育計畫，2011年12月入選合肥工業大學計算機與信息學院人才培育“C計畫”。
2012年入選“香江學者”計畫，2013年1月~2014年12月於香港浸會大學計算機科學系從事合作研究工作。
近年來主持國家自然科學基金青年基金和面上項目、教育部高等學校博士點新教師基金、中國博士後基金特別資助、“千人計畫”子課題項目各一項；承擔科技部863項目、973子課題、973前期預研專項項目、國家自然科學基金面上項目、國家自然科學基金海外及香港、澳門青年學者合作研究基金、法國國家科研署（ANR）項目等多個項目的研究。近年來，共發表學術論文40餘篇，被他人引用共400餘次，其中10篇第一作者論文被SCI檢索。擔任 Pattern Recognition Letters, IEEE Trans. Evolutionary Computation, IEEE Trans. Multimedia, IEEE Trans. Image Processing, Neurocomputing，Computer Vision and Image Understanding，《計算機學報》等期刊的論文審稿人。參編法語專著一部；獲授權國家發明專利三項。
2007年12月~2008年3月在合肥工業大學計算機與信息學院“圖像信息處理研究室”從事研究工作；
2008年4月~2009年11月於法國 UNIVERSITE PAUL CEZANNE – AIX-MARSEILLE III 信息與系統科學實驗室（CNRS UMR6168 Lab Sciences de l'Information et des Systèmes, LSIS）訪問，並從事圖像分類與檢索研究工作；
2009年12月至今，於合肥工業大學計算機與信息學院工作，2010年11月入選合肥工業大學“數據挖掘與智慧型計算”研究基地“千人計畫”團隊人才培育計畫，2011年12月入選合肥工業大學計算機與信息學院人才培育“C計畫”。
2012年入選“香江學者”計畫，2013年1月~2014年12月於香港浸會大學計算機科學系從事合作研究工作。
近年來主持國家自然科學基金青年基金和面上項目、教育部高等學校博士點新教師基金、中國博士後基金特別資助、“千人計畫”子課題項目各一項；承擔科技部863項目、973子課題、973前期預研專項項目、國家自然科學基金面上項目、國家自然科學基金海外及香港、澳門青年學者合作研究基金、法國國家科研署（ANR）項目等多個項目的研究。近年來，共發表學術論文40餘篇，被他人引用共400餘次，其中10篇第一作者論文被SCI檢索。擔任 Pattern Recognition Letters, IEEE Trans. Evolutionary Computation, IEEE Trans. Multimedia, IEEE Trans. Image Processing, Neurocomputing，Computer Vision and Image Understanding，《計算機學報》等期刊的論文審稿人。參編法語專著一部；獲授權國家發明專利三項。
主要科研項目
（1）國家自然科學基金面上項目，“基於耦合判別和協作稀疏表示的圖像表征和標註研究”，（No. 61375047，78萬元，2014.1-2017.12，主持）
（2）“香江學者”計畫，“高維數據下的特徵選擇及套用”，（No. XJ2012012，30萬人民幣+30萬港幣，2013.1-2014.12，主持）
（3）國家自然科學基金青年基金，“約束最大差異投影在基於內容的多樣化圖像檢索中的套用研究”（No. 61005007, 2011.1-2013.12，22萬元，主持）
（4）教育部高等學校博士點新教師基金，“基於子域模組分類器的非對稱模式分類研究” （No. 200803591024，2009.1-2011.12，3.6萬元，主持）
主要論著
[26] Z.Q. Zhao, Y. Cheung, H. Hu, X. Wu, Corrupted and Occluded Face Recognition via Cooperative Sparse Representation, accepted for publication in Pattern 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 –654, 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 Systems 30(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. ICIP 2015: 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, 2389–2402, 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] 趙仲秋, 季海峰, 高雋, 胡東輝, 吳信東. 基於稀疏編碼多尺度空間潛在語義分析的圖像分類,《計算機學報》, 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. Zhao and 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. 3884–3895, 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. Zhao and 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. 640–643, 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. 628–631, 2009. (EI)
[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 –654, 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 Systems 30(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. ICIP 2015: 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, 2389–2402, 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] 趙仲秋, 季海峰, 高雋, 胡東輝, 吳信東. 基於稀疏編碼多尺度空間潛在語義分析的圖像分類,《計算機學報》, 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. Zhao and 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. 3884–3895, 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. Zhao and 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. 640–643, 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. 628–631, 2009. (EI)
