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张道强    Zhang Daoqiang


南京航空航天大学计算机科学与技术学院



研究领域:


研究兴趣:


共检索到结果22条  被引21次[注:ScholarSpace内自引数]
查看张道强的合作作者    在DBLP中查找该作者文献
查看该作者的单位历史    作者项目历史

论文列表


注:被引数指ScholarSpace内自引数
No. 论文信息 被引数
2019
22 程波 丁毅 张道强 . 用于阿尔茨海默病诊断的权值分布特征学习. 软件学报, 2019, (04): 0
2018
21 彭瑶 祖辰 张道强 . 基于超图的多模态特征选择算法及其应用. 计算机科学与探索, 2018, (01): 0
20 张道强 朱旗 郝小可 邵伟 王明亮 黄嘉爽 黄硕 . 脑影像智能分析. 中国科学F辑, 2018, (05): 0
19 路子祥 黄嘉爽 屠黎阳 徐西嘉 张道强 . 基于张量的正则化多线性回归算法及其应用. 计算机科学与探索, 2018, (07): 0
18 丁毅 王明亮 张道强 . 差异性随机子空间集成. 计算机科学与探索, 2018, (09): 0
2017
17 光俊叶 刘明霞 张道强 . 有效距离在聚类算法中的应用. 计算机科学与探索, 2017, (03): 1
16 胡清华 张道强 张长水 . 复杂环境下的机器学习研究专刊前言. 软件学报, 2017, (11): 0
15 张丹 刘明霞 张道强 . 基于有效距离的迭代特征选择. 小型微型计算机系统, 2017, (05): 1054-1059 0
2015
14 严云洋 耿新 张道强 陈建平 . 专家寄语. 计算机科学, 2015, (08): -1 0
2014
13 王立鹏 费飞 接标 张道强 . 基于子图选择和图核降维的脑网络分类方法. 计算机科学与探索, 2014, (10): 0
12 光俊叶 刘明霞 张道强 . 基于有效距离的谱聚类算法. 计算机科学与探索, 2014, (11): 3
2012
11 高山 祖辰 张道强 . 一种基于约束的中垂面相似度准则. 计算机研究与发展, 2012, (11): - 0
2011
10 陈诗国 张道强 . 半监督降维方法的实验比较. 软件学报, 2011, 22 (01): 28-44 2
2010
9 吴遐 张道强 . 半监督图核降维方法. 计算机科学与探索, 2010, (07): 1
2009
8 彭宏京 陈松灿 张道强 . 一种基于局部学习的自然图像景物提取方法. 软件学报, 2009, (04): 834-844 3
2008
7 金骏 张道强 . 半监督鲁棒联机聚类算法. 计算机研究与发展, 2008, 45 (03): 496-502 0
6 彭岩 张道强 . 半监督典型相关分析算法. 软件学报, 2008, 19 (11): 2822-2832 6
5 黄鹏飞 张道强 . 拉普拉斯加权聚类算法. 电子学报, 2008, (S1): 1
2006
4 陈蕾 陈松灿 张道强 . 小世界体系的多对多核联想记忆模型及其应用. 软件学报, 2006, 17 (02): 223-231 1
2004
3 潘志松 陈松灿 张道强 . 一般化的灰SOM模型及其性能评估. 计算机学报, 2004, 27 (04): 530-534 0
2 潘志松 陈松灿 张道强 . 原空间中的核SOM分类器. 电子学报, 2004, 32 (02): 227-231 2
2003
1 张道强 陈松灿 . 推广的多值指数双向联想记忆模型及其应用. 软件学报, 2003, 14 (03): 697-702 1

DBLP检索到的论文列表

No. Paper Inforamtion
2014
1 Mingxia Liu, Daoqiang Zhang, Songcan Chen, Attribute relation learning for zero-shot classification. Neurocomputing, 2014, Neurocomputing, 139(): 34-46
0 Guorong Wu, Qian Wang, Daoqiang Zhang, Feiping Nie, Heng Huang, Dinggang Shen, A generative probability model of joint label fusion for multi-atlas based brain segmentation. Medical Image Analysis, 2014, Medical Image Analysis, 18(6): 881-890
-1 Mingxia Liu, Daoqiang Zhang, Sparsity Score: a Novel Graph-Preserving Feature Selection Method. IJPRAI, 2014, IJPRAI, 28(4):
2013
-2 Fengshan Wang, Daoqiang Zhang, A New Locality-Preserving Canonical Correlation Analysis Algorithm for Multi-View Dimensionality Reduction. Neural Processing Letters, 2013, Neural Processing Letters, 37(2): 135-146
-3 Shan Gao, Chen Zu, Daoqiang Zhang, Learning mid-perpendicular hyperplane similarity from cannot-link constraints. Neurocomputing, 2013, Neurocomputing, 113(): 195-203
-4 Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao 0001, Dinggang Shen, Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR, 2013
2012
-5 Mingxia Liu, Dan Sun, Daoqiang Zhang, Sparsity Score: A new filter feature selection method based on graph. ICPR, 2012
-6 Linsong Miao, Mingxia Liu, Daoqiang Zhang, Cost-sensitive feature selection with application in software defect prediction. ICPR, 2012
2011
-7 Jianchun Zhang, Daoqiang Zhang, A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. Pattern Recognition, 2011, Pattern Recognition, 44(6): 1162-1171
2010
-8 Pengfei Huang, Daoqiang Zhang, Locality sensitive C-means clustering algorithms. Neurocomputing, 2010, Neurocomputing, 73(16-18): 2935-2943
-9 Yan Peng, Daoqiang Zhang, Jianchun Zhang, A New Canonical Correlation Analysis Algorithm with Local Discrimination. Neural Processing Letters, 2010, Neural Processing Letters, 31(1): 1-15
-10 Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang, Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognition, 2010, Pattern Recognition, 43(4): 1320-1333
-11 Jianchun Zhang, Daoqiang Zhang, Canonical random correlation analysis. SAC, 2010
-12 Dan Sun, Daoqiang Zhang, Bagging Constraint Score for feature selection with pairwise constraints. Pattern Recognition, 2010, Pattern Recognition, 43(6): 2106-2118
2009
-13 Daoqiang Zhang, Wanquan Liu, An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space. IJCAI, 2009
-14 Fei Wang 0001, Xin Wang 0013, Daoqiang Zhang, Changshui Zhang, Tao Li, marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognition, 2009, Pattern Recognition, 42(11): 2863-2875
-15 Dan Sun, Daoqiang Zhang, A New Discriminant Principal Component Analysis Method with Partial Supervision. Neural Processing Letters, 2009, Neural Processing Letters, 30(2): 103-112
-16 Weiling Cai, Songcan Chen, Daoqiang Zhang, A simultaneous learning framework for clustering and classification. Pattern Recognition, 2009, Pattern Recognition, 42(7): 1248-1259
2008
-17 Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Constraint Score: A new filter method for feature selection with pairwise constraints. Pattern Recognition, 2008, Pattern Recognition, 41(5): 1440-1451
-18 Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Qiang Yang 0001, Constraint Projections for Ensemble Learning. AAAI, 2008
2007
-19 Weiling Cai, Songcan Chen, Daoqiang Zhang, Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation. Pattern Recognition, 2007, Pattern Recognition, 40(3): 825-838
-20 Weiling Cai, Songcan Chen, Daoqiang Zhang, Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognition Letters, 2007, Pattern Recognition Letters, 28(16): 2250-2263
-21 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Semi-Supervised Dimensionality Reduction. SDM, 2007
-22 Jun Liu, Songcan Chen, Xiaoyang Tan, Daoqiang Zhang, Efficient Pseudoinverse Linear Discriminant Analysis and its Nonlinear Form for Face Recognition. IJPRAI, 2007, IJPRAI, 21(8): 1265-1278
2006
-23 Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou, Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition, 2006, Pattern Recognition, 39(1): 133-135
-24 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Diagonal principal component analysis for face recognition. Pattern Recognition, 2006, Pattern Recognition, 39(1): 140-142
-25 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM, 2006
-26 Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen, Non-negative Matrix Factorization on Kernels. PRICAI, 2006
2005
-27 Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang, Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters, 2005, Pattern Recognition Letters, 26(8): 1157-1167
-28 Daoqiang Zhang, Songcan Chen, Fast image compression using matrix K-L transform. Neurocomputing, 2005, Neurocomputing, 68(): 258-266
-29 Daoqiang Zhang, Songcan Chen, Keren Tan, Improving the Robustness of 'Online Agglomerative Clustering Method' Based on Kernel-Induce Distance Measures. Neural Processing Letters, 2005, Neural Processing Letters, 21(1): 45-51
-30 Daoqiang Zhang, Zhi-Hua Zhou, (2D)2PCA: Two-directional two-dimensional PCA for efficient face representation and recognition. Neurocomputing, 2005, Neurocomputing, 69(1-3): 224-231
2004
-31 Daoqiang Zhang, Keren Tan, Songcan Chen, Semi-supervised Kernel-Based Fuzzy C-Means. ICONIP, 2004
-32 Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou, Enhanced (PC)2 A for face recognition with one training image per person Pattern Recognition Letters, 2004, Pattern Recognition Letters, 25(10): 1173-1181

承担项目历史

*注:由于资助项目信息是由程序自动集成,因此以下项目信息仅供参考,如有任何错误,请联系rucwamdm(at)gmail(dot)com
项目起止年份项目名称项目类别经费(万)
2009~2011基于约束的半监督降维及其推广性研究 国家自然科学基金-面上项目
项目号:60875030
30
2006~2008半监督聚类及其应用研究 国家自然科学基金-青年科学基金项目
项目号:60505004
22

合作作者列表

1 丁毅 [18]   [22]  
2 严云洋 [14]  
3 光俊叶 [12]   [17]  
4 刘明霞 [12]   [15]  [17]  
5 吴遐 [9]  
6 屠黎阳 [19]  
7 张丹 [15]  
8 张长水 [16]  
9 彭宏京 [8]  
10 彭岩 [6]  
11 彭瑶 [21]  
12 徐西嘉 [19]  
13 接标 [13]  
14 朱旗 [20]  
15 潘志松 [3]   [2]  
16 王明亮 [18]   [20]  
17 王立鹏 [13]  
18 祖辰 [11]   [21]  
19 程波 [22]  
20 耿新 [14]  
21 胡清华 [16]  
22 费飞 [13]  
23 路子祥 [19]  
24 邵伟 [20]  
25 郝小可 [20]  
26 金骏 [7]  
27 陈建平 [14]  
28 陈松灿 [1]   [3]  [4]  [2]  [8]  
29 陈蕾 [4]  
30 陈诗国 [10]  
31 高山 [11]  
32 黄嘉爽 [19]   [20]  
33 黄硕 [20]  
34 黄鹏飞 [5]  

单位历史信息

南京航空航天大学计算机科学与技术学院 (2014--2018)
南京航空航天大学计算机科学与工程系 (2003--2012)

说明: 作者的单位历史信息是根据本系统中论文的单位信息采用算法自动计算得到,部分信息可能不准确,仅供参考。