photo

 

Daoqiang Zhang

Professor

Department of Computer Science & Engineering
Nanjing University of Aeronautics and Astronautics
 
Nanjing 210016, China

 

 

 

 

Office: 106, Building 12
Tel: (+86) 25-84896481-12106
Email: dqzhang AT nuaa DOT edu DOT cn

Short Biography

Daoqiang Zhang is currently a professor in the Department of Computer Science and Engineering at Nanjing University of Aeronautics and Astronautics, China. He received his B.Sc. and Ph.D. degrees in computer science from Nanjing University of Aeronautics and Astronautics, China, in 1999 and 2004, respectively. From Sep. 2004 to Dec. 2006, he was a postdoctoral fellow in the LAMDA group of Department of Computer Science & Technology at Nanjing University.

Research Interests

My current research interests mainly include pattern recognition, neural computing, machine learning, data mining and image processing

Courses

Data Mining                                      For graduate students

Algorithm Design & Analysis           For undergraduate students

Publications

[2011]

lDaoqiang Zhang, Yaping Wang, Luping Zhou, Hong Yuan, Dinggang Shen. Multimodal classification of Alzheimer’s disease and mild cognitive impairment. Neuroimage, 2011, 55(3): 856-867.

lShiguo Chen, Daoqiang Zhang. Semi-supervised Dimensionality Reduction with Pairwise Constraints for Hyperspectral Image Classification. IEEE Geoscience & Remote Sensing Letters, 2011, 8(2): 369-373.

lJianchun Zhang, Daoqiang Zhang. A novel ensemble construction method for multi-view data using random cross-view correlation between within-class examples. Pattern Recognition, 2011, 44(6): 1162-1171.

lDaoqiang Zhang, Dinggang Shen. Semi-supervised multimodal classification of Alzheimer’s disease. In: IEEE International Symposium on Biomedical Imaging (ISBI’11), Chicago, 2011.

lShiguo Chen and Daoqiang Zhang. Experimental Comparisons of Semi-Supervised Dimensional Reduction Methods. Journal of Software, 2011, 22(1):28-43. (in Chinese)

[2010]

lEnliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin. Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Transactions on Neural Networks, 2010, 21(11): 1831-1841.

lWeiling Cai, Songcan Chen, Daoqiang Zhang. A multiobjective simultaneous learning framework for clustering and classification. IEEE Transactions on Neural Networks, 2010, 21(2): 185-200.

lYan Peng, Daoqiang Zhang, Jianchun Zhang. A New Canonical Correlation Analysis Algorithm with Local Discrimination. Neural Processing Letters, 2010, 31(1): 1-15.

lPengfei Huang, Daoqiang Zhang. Locality sensitive C-means clustering algorithms. Neurocomputing, 2010, 73(16-18): 2935-2943.

lXuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang. Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognition, 2010, 43(4): 1320-1333.

lDan Sun, Daoqiang Zhang. Bagging Constraint Score for feature selection with pairwise constraints. Pattern Recognition, 2010, 43(6): 2106-2118.

lJianchun Zhang, Daoqiang Zhang. Canonical random correlation analysis. In: Proceedings of the 25th Symposium On Applied Computing (SAC’10), poster, Switzerland, 2010, 1111-1112.

[2009]

lDan Sun, Daoqiang Zhang. A New Discriminant Principal Component Analysis Method with Partial Supervision. Neural Processing Letters, 2009, 30(2): 103-112.

lFei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li. marginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognition, 2009, 42(11): 2863-2875.

lWeiling Cai, Songcan Chen and Daoqiang ZhangA Simultaneous Learning Framework for Clustering and Classification. Pattern Recognition, 2009, 42(7): 1248-1259.

lDaoqiang Zhang and Wanquan Liu. An Efficient Nonnegative Matrix Factorization Approach in Flexible Kernel Space. In: Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI'09), Pasadena, CA, 2009.

lPengfei Huang and Daoqiang Zhang. Weighted Laplacian clustering algorithm. Chinese Journal of Electronics, 2009 (in Chinese).

[2008]

lZhe Wang, Songcan Chen, Jun Liu and Daoqiang Zhang. Pattern representation in feature extraction and classification- matrix versus vector. IEEE Transactions on Neural Networks, 2008, 19(5): 758-769.

lDaoqiang Zhang, Songcan Chen, and Zhi-Hua Zhou. Constraint score: A new filter method for feature selection with pairwise constraints. Pattern Recognition, 2008, 41(5): 1440-1451.

lDaoqiang Zhang, Songcan Chen, Zhi-Hua Zhou and Qiang Yang. Constraint projections for ensemble learning. In: Proceedings of the 23rd AAAI Conference on Artificial Intelligence (AAAI'08), Chicago, IL, 2008.

lYan Peng and Daoqiang Zhang. Semi-supervised canonical component analysis algorithm. Journal of Software, 2008, 19(11):2822-2832. (in Chinese)

lJun Jin and Daoqiang Zhang. Semi-supervised robust online clustering algorithm. Journal of Computer Research and Development, 2008, 45(3):496-502. (in Chinese)

 [2007]

lDaoqiang Zhang, Songcan Chen and Zhi-Hua Zhou. Entropy-inspired competitive clustering algorithms. International Journal of Software and Informatics, 2007, 1(1):67-84.

lJun Liu, Songcan Chen, Xiaoyang Tan and Daoqiang Zhang. Efficient pseudo-inverse linear discriminant analysis and its nonlinear form for face recognition. International Journal of Pattern Recognition and Artificial Intelligence, 2007, 21(8): 1265-1278.

lJun Liu, Songcan Chen, Xiaoyang Tan and Daoqiang Zhang. Comments on "Efficient and Robust Maximal Margin Criterion". IEEE Transactions on Neural Networks, 2007, 18(6), 1862-1864.

lWeiling Cai, Songcan Chen and Daoqiang Zhang. Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognition Letters, 2007, 28(16): 2250-2263.

lWeiling Cai, Songcan Chen and Daoqiang Zhang. Fast and Robust Fuzzy C-Means Clustering Algorithms Incorporating Local Information for Image Segmentation. Pattern Recognition, 2007, 40(3):825-838. (Best Paper Award Honorable Mention)

lDaoqiang Zhang, Zhi-Hua Zhou, and Songcan Chen. Semi-supervised dimensionality reduction. In: Proceedings of the 7th SIAM International Conference on Data Mining (SDM'07), Minneapolis, MN, 2007, pp. 629-634.

lDaoqiang Zhang. Two-Dimensional Bayesian Subspace Analysis for Face Recognition. In: Proceedings of the 4-th International Symposium on Neural Networks (ISNN'07), Nanjing, China, LNCS 4492: 778-784, 2007.

lWeiling Cai, Songcan Chen and Daoqiang Zhang, Enhanced Fuzzy Relational Classifier with Representative Training Samples, International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR’07), 112-117, 2007.

 [2006]

l Daoqiang Zhang, Songcan Chen, and Zhi-Hua Zhou. Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition, 2006, 39(1):133-135.

l Daoqiang Zhang, Zhi-Hua Zhou and Songcan. Chen. Diagonal principal component analysis for face recognition. Pattern Recognition, 2006, 39(1):140-142.

l Daoqiang Zhang, Zhi-Hua Zhou and Songcan Chen. Adaptive kernel principal component analysis with unsupervised learning of kernels. In: Proceedings of the 6th IEEE International Conference on Data Mining (ICDM'06), Hong Kong, China, 2006, pp.1178 -1182.

l Daoqiang Zhang, Songcan Chen and Zhi-Hua Zhou. Recognizing face or object from a single image: Linear vs. kernel methods on 2D patterns. In: Proceedings of the Joint IAPR International Workshops on Structural and Syntactic Pattern Recognition and Statistical Techniques in Pattern Recognition (S+SSPR'06), in conjunction with ICPR'06, Hong Kong, China, LNCS, 2006.

l Daoqiang Zhang, Zhi-Hua Zhou and Songcan Chen. Non-negative matrix factorization on kernels. In: Proceedings of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06), Guilin, China, LNAI 4099, 2006. (Best Paper Award)

l Jun Liu, Songcan Chen, Xiaoyang Tan and Daoqiang Zhang. An Efficient Pseudoinverse Linear Discriminant Analysis method for Face Recognition. In: Proceedings of the International Conferences on Neural Information Processing (ICONIP’06), Hong Kong, China, LNCS, 2006.

l Lei Chen, Songcan Chen, and Daoqiang Zhang. Small world structure inspired many to many kernel associative memory models and their application. Journal of Software, 2006, 17(2):223-231. (in Chinese)

 [2005]

l Daoqiang Zhang and Zhi-Hua Zhou. (2D)2PCA: 2-directional 2-dimensional PCA for efficient face representation and recognition. Neurocomputing, 2005, 69: 224-231.

l Daoqiang Zhang, Songcan Chen. Fast image compression using matrix K-L transform, Neurocomputing, 2005, 68: 258-266.

l Songcan Chen, Yulian Zhu, Daoqiang Zhang, Jing-Yu Yang. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA.  Pattern Recognition Letters, 2005, 26(8): 1157-1167.

l Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou. A new face recognition method based on SVD perturbation for single example image per person. Applied Mathematics and Computation, 2005, 163(2): 895-907.

l Daoqiang Zhang, Songcan Chen, Keren Tan. Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures. Neural Processing Letters, 2005, 21(1): 45-51.

l Daoqiang Zhang, Songcan. Chen, and Zhi-Hua Zhou. Two-dimensional non-negative matrix factorization for face representation and recognition. In: Proceedings of the ICCV'05 Workshop on Analysis and Modeling of Faces and Gestures (AMFG'05), Beijing, China, LNCS 3723:350-363, 2005.

l Daoqiang Zhang, Songcan Chen, Jun Liu. Representing image matrices: Eigenimages vs. Eigenvectors. In: Proceedings of the 2st International Symposium on Neural Networks (ISNN'05), Chongqing, China, LNCS 3497: 659-664, 2005.

[2004]

l Daoqiang Zhang, Songcan Chen. A novel kernelised fuzzy c-means algorithm with application in medical image segmentation. Artificial Intelligence in Medicine, 2004, 32(1):37-50.

l Songcan Chen, Daoqiang Zhang. Robust image segmentation using FCM with spatial constraints based on new kernel-induced distance metric. IEEE Trans. on System, Man and Cybernetics-Part B, 2004, 34(4): 1907-1916.

l Songcan Chen, Daoqiang Zhang, Zhi-Hua Zhou. Enhanced (PC)2A for face recognition with one training image per person. Pattern Recognition Letters, 2004, 25(10): 1173-1181.

l Daoqiang Zhang, Songcan Chen. A comment on 'Alternative c- means clustering algorithms'. Pattern Recognition, 2004, 37(2): 173~174.

l Keren Tan, Songcan Chen, Daoqiang Zhang. Robust image denoising using kernel-induced measures. In: Proceedings of the 17th International Conference on Pattern Recognition (ICPR’04), Cambridge, UK, 2004, 4: 685-688.

l Daoqiang Zhang, Keren Tan, and Songcan Chen. Semi-supervised kernel-based fuzzy c-means. In: Proceedings of the International Conferences on Neural Information Processing (ICONIP’04), India, LNCS 3316: 1229-1234, 2004.

l Daoqiang Zhang, Songcan Chen, Zhi-Hua. Zhou. Fuzzy-kernel learning vector quantization. In: Proceedings of the 1st International Symposium on Neural Networks (ISNN'04), Dalian, China, LNCS 3173: 180-185, 2004.

l Daoqiang Zhang, Songcan, Zhisong Pan. A General Model for multi-valued BAM and its applications in IP Address Recognition. Journal of Applied Sciences, 2004, 22(3): 279-282. (in Chinese)

l Daoqiang Zhang, Songcan Chen. Fuzzy and possibilistic c-means algorithms under kernel-based robust metric. Pattern Recognition and Artificial Intelligence, 2004, 17(4): 390-395. (in Chinese)

l Zhisong Pan, Songcan Chen, Daoqiang Zhang. Generalized grey SOM and its application. Chinese Journal of Computers, 2004, 27(4): 530~534. (in Chinese)

l Zhisong Pan, Songcan Chen, Daoqiang Zhang. A kernel-base SOM classifier in input space. ACTA ELECTRONICA SINICA, 2004, 32(2):227~231. (in Chinese)

 [2003]

l Daoqiang Zhang, Songcan Chen. Clustering incomplete data using kernel-based fuzzy c-means algorithm. Neural Processing Letters, 2003, 18(3): 155~162.

l Daoqiang Zhang, Songcan Chen. A novel multi-valued BAM model with improved error-correcting capability. Journal of Electronics, 2003, 20(3): 220~223.

l Daoqiang Zhang, Songcan Chen. Kernel-based fuzzy and possibilistic c-means clustering. In: Proceedings of the International Conference on Artificial Neural Networks (ICANN’03), Istanbul, Turkey, 2003, 122~125.

l Daoqiang Zhang, Songcan Chen, Zhisong Pan, Keren Tan. Kernel-based fuzzy clustering incorporating spatial constraints for image segmentation. In: Proceedings of the Second International Conference on Machine Learning and Cybernetics (ICMLC’03), Xi'an, China, 2003, 2189~2192.

l Zhisong Pan, Songcan Chen, Genbao Hu, Daoqiang Zhang. Hybrid neural network and C4.5 for misuse detection. In: Proceedings of the Second International Conference on Machine Learning and Cybernetics (ICMLC’03), Xi'an, China, 2003, 2463~2467.

l Daoqiang Zhang, Songcan Chen. An extended multi-valued exponential bidirectional associative memory model and its application. Journal of Software, 2003, 14(3): 697~702.(in Chinese)

l Zhisong Pan, Songcan Chen, Daoqiang. Zhang. A new model for intrusion detection system based on artificial immune. Journal of data acquision and processing, 2003, 18(1): 22~26. (in Chinese)

 [2002]

l Daoqiang Zhang, Songcan Chen. Fuzzy clustering using kernel method. In: Proceedings of the 2002 International Conference on Control and Automation (ICCA’02), Xiamen, China, 2002, 123~127.