PERSONAL INFORMATION

Daoqiang Zhang, Ph. D. Professor of Department of Computer Science and Engineering, Nanjing University of Aeronautics and Astronautic.


RESEARCH INTERESTS

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


EDUCATION

May 2004 Ph.D, Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, China (Adviser: Prof. Songcan Chen)

Jun 1999  B.S,Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, China (Adviser: Prof. Zhaohui Zhu)


EMPLOYMENT

May 2008 Present Professor Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, China

Apr 2008 Associate Professor Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, China

Apr 2006 Lecturer Department of Computer Science and Engineering, Nanjing University of Aeronautics & Astronautics, China

Nov 2006 Postdoctoral Fellow National Laboratory for Novel Software Technology, Nanjing University, China (Adviser: Prof. Zhi-Hua Zhou)

Jan 2008 Visiting Scholar Department of Computer Science and Engineering, Hong Kong University of Science and Technology, China (Adviser: Prof. Qiang Yang)

Dec 2008 Visiting Research Fellow Department of Computing, Curtin University of Technology, Australia (Adviser: Prof. Wanquan Liu)


PROFESSIONAL ACTIVITIES

Program Committee Member of the following conferences:

CIKM’09 (The 18th ACM Conference on Information and Knowledge Management, Hong Kong, China)

AJCAI’09 (The 22nd Australasian Joint Conference on Artificial Intelligence, Melbourne, Australia)

ACML’09 (The 1st Asian Conference on Machine Learning, Nanjing, China)

PAKDD’09 (The 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Bangkok, Thailand)

KDIR’09 (The 2009 International Conference on Knowledge Discovery and Information Retrieval, Portugal)

IRI’09 (The 2009 IEEE International Conference on Information Reuse and Integration, Las Vegas, USA)

DTA’09 (The 2009 International Conference on Database Theory and Application, Jeju Island, Korea)

ICMLA’09 (The Eighth International Conference on Machine Learning and Applications, Florida, USA)

AJCAI'08 (21st Australasian Joint Conference on Artificial Intelligence, Dec. 2008, Auckland, New Zealand)

PRICAI'08 (10th Pacific Rim International Conference on Artificial Intelligence, Dec. 2008, Hanoi, Vietnam)

ECDM'08 (2nd IADIS European Conference on Data Mining, July 2008, Amsterdam, The Netherlands )

ICMLC'08 (7th International Conference on Machine Learning and Cybernetics, July 2008, Kunming, China)

WCCI'08 (15th IEEE World Congress on Computational Intelligence, June 2008, Hong Kong, China)

PAKDD'08 (12th Pacific-Asia Conference on Knowledge Discovery and Data Mining, May 2008, Osaka, Japan)

AC'08 (5th IADIS International Conference on Applied Computing, Apr. 2008, Algarve, Portugal)

ICMLA'07 (6th International Conference on Machine Learning and Applications, Dec. 2007, Ohio, USA)

ICMLC'07 (6th International Conference on Machine Learning and Cybernetics, Aug. 2007, Hong Kong, China)

PAKDD'07 (11th Pacific-Asia Conference on Knowledge Discovery and Data Mining, Nanjing, China)

AC'07 (4th IADIS International Conference on Applied Computing, Feb. 2007, Salamanca, Spain)


AWARDS

Best paper award Honorable Mention of Pattern Recognition Journal (2006-2007)

Best paper award of the 9th Pacific Rim International Conference on Artificial Intelligence (PRICAI'06)

In 2006, my doctoral dissertation was nominated for the ‘National Excellent Doctoral Dissertation of China’ award (approximate 200 authors from tens of thousands of candidates in the Mainland of China are nominated, of which only 5 authors are from the Computer Science major)

In 2005, my doctoral dissertation‘Kernel-Based Associative Memories，Clustering Algorithms and their Applications’won the ‘Jiangsu Excellent Doctoral Dissertation’award


PUBLICATIONS

  1. Daoqiang 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
  2. Shiguo Chen, Daoqiang Zhang. Semi-supervised Dimensionality Reduction with Pairwise Constraints for Hyperspectral Image Classification. IEEE Geoscience & Remote Sensing Letters, 2011, 8(2): 369-373
  3. 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, 44(6): 1162-1171
  4. Pengfei Huang, Daoqiang Zhang. Locality sensitive C-means clustering algorithms. Neurocomputing, 2010, 73(16-18): 2935-2943
  5. Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin. Semisupervised Kernel Matrix Learning by Kernel Propagation. IEEE Transactions on Neural Networks, 2010, 21(11): 1831-1841
  6. Dan Sun, Daoqiang Zhang. Bagging constraint score for feature selection with pairwise constraints. Pattern Recognition, 2010, 43(6): 2106-2118
  7. Xuesong Yin, Songcan Chen, Enliang Hu, Daoqiang Zhang. Semi-supervised clustering with metric learning: An adaptive kernel method. Pattern Recognition, 2010, 43(4): 1320-1333
  8. Weiling Cai, Songcan Chen, Daoqiang Zhang. A multiobjective simultaneous learning framework for clustering and classification. IEEE Trans. on Neural Networks, 2010, 21(2): 185-200
  9. Yan Peng, Daoqiang Zhang, Jianchun Zhang. A new canonical correlation analysis algorithm with local discrimination. Neural Processing Letters, 2010, 31(1): 1-15
  10. Dan Sun, Daoqiang Zhang. A new discriminant principal component analysis method with partial supervision. Neural Processing Letters, 2009, 30: 103-112
  11. Fei Wang, Xin Wang, Daoqiang Zhang, Changshui Zhang, Tao Li. MarginFace: A novel face recognition method by average neighborhood margin maximization. Pattern Recognition, 2009, 42: 2863-2875
  12. Weiling Cai, Songcan Chen, Daoqiang Zhang. A simultaneous learning framework for clustering and classification. Pattern Recognition, 2009, 42(7): 1248-1259
  13. Zhe 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.
  14. Daoqiang 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
  15. Daoqiang Zhang, Songcan Chen and Zhi-Hua Zhou. Entropy-inspired competitive clustering algorithms. International Journal of Software and Informatics, 2007, 1(1):67-84
  16. Jun 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
  17. Jun 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
  18. Weiling Cai, Songcan Chen and Daoqiang Zhang. Robust fuzzy relational classifier incorporating the soft class labels. Pattern Recognition Letters, 2007, 28(16): 2250-2263
  19. Weiling 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
  20. Daoqiang Zhang, Songcan Chen and Zhi-Hua Zhou. Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition, 2006, 39(1): 133-135
  21. Daoqiang Zhang, Zhi-Hua Zhou and S. Chen. Diagonal principal component analysis for face recognition. Pattern Recognition, 2006, 39(1): 140-142
  22. Daoqiang Zhang and Zhi-Hua Zhou. (2D)2PCA: 2-directional 2-dimensional PCA for efficient face representation and recognition. Neurocomputing, 2005, 69: 224-231
  23. Daoqiang Zhang and Songcan Chen. Fast image compression using matrix K-L transform, Neurocomputing, 2005, 68: 258-266
  24. Daoqiang Zhang, Songcan Chen and 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
  25. Daoqiang Zhang, Songcan Chen and Keren Tan. Improving the robustness of 'online agglomerative clustering method' based on kernel-induce distance measures, Neural Processing Letters, 2005, 21(1): 45-51
  26. Songcan Chen, Yulian Zhu, Daoqiang Zhang and Jingyu Yang. Feature extraction approaches based on matrix pattern: MatPCA and MatFLDA. Pattern Recognition Letters, 2005, 26(8): 1157-1167
  27. Daoqiang Zhang and Songcan Chen. A novel kernelised fuzzy c-means algorithm with application in medical image segmentation. Artificial Intelligence in Medicine, 2004, 32(1): 37-50
  28. Daoqiang Zhang and Songcan Chen. A comment on 'Alternative c- means clustering algorithms'. Pattern Recognition, 2004, 37(2): 173-174
  29. Songcan Chen and 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
  30. Songcan Chen, Daoqiang Zhang and Zhi-Hua Zhou. Enhanced (PC)2A for face recognition with one training image per person. Pattern Recognition Letters, 2004, 25(10): 1173-1181
  31. Daoqiang Zhang and Songcan Chen. Clustering incomplete data using kernel-based fuzzy c-means algorithm. Neural Processing Letters, 2003, 18(3): 155-162
  32. Daoqiang Zhang, Songcan Chen. A novel multi-valued BAM model with improved error-correcting capability. Journal of Electronics, 2003, 20(3): 220-223. Referred International Conference Papers
  33. Daoqiang Zhang, Dinggang Shen. Semi-supervised multimodal classification of Alzheimer’s disease. In: IEEE International Symposium on Biomedical Imaging (ISBI’11), Chicago, 2011
  34. Jianchun Zhang, Daoqiang Zhang. Canonical random correlation analysis. In: Proceedings of the 25th ACM Symposium On Applied Computing (SAC’10), poster, Switzerland, 2010