PUBLICATIONS:
   2011
  1. L. Wang, M. Rege, M. Dong and Y. Ding “Low-rank Kernel Matrix Factorization for Large Scale Evolutionary Clustering”, IEEE Transactions on Knowledge and Data Engineering, in press, 2011.

  2. L. Wang and M. Dong, “Exemplar-based Low-rank Matrix Decomposition for Data Clustering”, Proc. of International Joint Conference of Neural Networks, 2011.

  3. Massuod Alatrash, Hao Ying, Peter Dews, Ming Dong, Wendy Wu and R.Michael Massanari, “Application of Type-2 Fuzzy Logic to Healthcare Literature Search at Point of Care”, Proc. of Annual Meeting of North American Fuzzy Information Processing Society, 2011.

  2010
  1. Y. Chen, L. Wang and M. Dong, “Non-negative Matrix Factorization for Semi-supervised Heterogeneous Data Co-clustering”, IEEE Transactions on Knowledge and Data Engineering, vol. 22, no. 10, pp. 1459-1474, October 2010.

  2. Mostafa Ghannad-Rezaie, Hamid Soltanian-Zadeh, Hao Ying and Ming Dong, "Selection-Fusion Approach for Classification of Datasets with Missing Values", Pattern Recognition, vol. 43, no. 6, 2340-2350, June 2010.

  2009
  1. Y. Chen, L. Wang, M. Dong and J. Hua, “Exemplar-based Visualization of Large-scale Text Corpus”, IEEE Transactions on Visualization and Computer Graphics, vol. 15, no. 6, pp. 1193-1200, 2009.

  2. G. Zou, Z. Lai, J. Hua, X. Gu and M. Dong, “Intrinsic Geometric Scale Space by Shape Diffusion”, IEEE Transactions on Visualization and Computer Graphics, vol. 15, no.6, pp. 1161-1168, 2009.

  3. Y. Li, M. Dong and J. Hua, “Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 31, No. 5, pp 953 - 960, 2009.

  4. Manjeet Rege and Ming Dong, “A Graph Theoretic approach to Heterogeneous Data Clustering: New Research Directions and Some Results,” VDM Verlag, 2009, ISBN: 978-3-639-11658-8.

  5. Y. Chen, M. Dong and W. Wang, "Image Co-clustering with Multi-modality Features and User Feedbacks", Proc. of ACM Multimedia, Beijing, China, 2009.

  6. X. Luo, and M. Dong, "Distributed Faulty Sensor Detection in Sensor Networks", Proc. of International Conference on Artificial Neural Networks, Cyprus, 2009.

   2008
  1. Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu, and Hong Qin. "Geodesic Distance-Weighted Shape Diffusion," IEEE Transactions on Visualization and Computer Graphics, Vol. 14, No. 6, pp. 1643 – 1650, 2008.

  2. Guangyu Zou, Jing Hua, Ming Dong, and Hong Qin. "Surface Matching with Salient Keypoints in Geodesic Scale Space," Journal of Computer Animation and Virtual Worlds (formerly known as Journal of Visualization and Computer Animation), Vol. 19, 399 - 410, 2008.

  3. Y. Chen, M. Rege, M. Dong and J. Hua, “Non-negative Matrix Factorization for Semi-supervised Data Clustering”, Journal of Knowledge and Information Systems (Springer), Vol. 17, No. 3, pp. 355- 379, 2008. (invited as a best paper of ICDM 07, conference version: “Incorporating User provided Constraints into Document Clustering”, was published in Proc. of IEEE International Conference on Data Mining, Omaha, NE, 2007 as a Regular paper, acceptance rate 7.2%).

  4. M. Rege, M. Dong, and F. Fotouhi, “Bipartite Isoperimetric Graph Partitioning for Data Co-clustering”, Data Mining and Knowledge Discovery (Springer), Vol. 16, No. 3, pp. 276-312, 2008. (Conference version: “Co-clustering documents and words using Bipartite Isoperimetric Graph Partitioning”, was published in Proc. of IEEE International Conference on Data Mining, Hong Kong, China, 2006 as a Regular paper, acceptance rate 9.5%).

  5. M. Dong and X. Zhou, “Knowledge Discovery in Corporate Events by Neural Network Rule Extraction”, Applied Intelligence (Springer), Special Issue on Soft Computing Techniques Applied to Finance, Vol. 29, 129-137, 2008.

  6. Y. Li, M. Dong and J. Hua, "Localized Feature Selection for Clustering", Pattern Recognition Letters, Vol. 29, pp. 10 - 18, 2008.

  7. Y. Li, M. Dong and Y. Ma, “Feature Selection for Clustering with Constraints Using Jensen-Shannon Divergence”, Proc. of International Conference on Pattern Recognition, Tampa, FL, 2008

  8. Y. Chen, L. Wang and M. Dong, “A Matrix-based Approach for Semi-supervised Document Co-clustering”, Proc. of ACM 17th Conference on Information and Knowledge Management (CIKM), Napa Valley, CA, 2008 (two page poster)

  9. M. Dong and Y. Chen, "Salient Region Detection and Feature Extraction in Visual Data", Proc. IEEE ICIP, San Diego, 2008.

  10. M. Rege, M. Dong and J. Hua, “Graph Theoretical Framework for Simultaneously Integrating Visual and Textural Features for Efficient Web Image Clustering”, Proc. of 17th International World Wide Web Conference, April 2008, China, Regular paper, acceptance rate 11%.

   2007
  1. Y. Li, M. Dong and J. Hua, "A Gaussian Mixture Model to Detect Clusters Embedded in Feature Subspace", Journal of Communications in Information and Systems, Vol. 7, No. 4, pp. 337 - 352, 2007.

  2. Y. Tan, J. Hua, and M. Dong, “3D Reconstruction from 2D Images with Hierarchical Continuous Simplicies”, The Visual Computer, Vol. 23, No. 10, pp 905-914, 2007.

  3. Jing Jiang, E. Mark Haacke and Ming Dong, “The Dependence of Vessel Area Accuracy and Precision as A Function of MR Imaging Parameters and Analysis Procedure", Journal of MRI, Vol. 25, 1226- 1234, 2007.

  4. M. Rege, M. Dong and F. Fotouhi, "Building a User-Centered Semantic Hierarchy in Image Databases", ACM Multimedia Systems Journal, Special Issue on User-Centered Multimedia, Vol. 12, No. 4, pp.325- 338, March 2007.

  5. M. Rege , M. Dong and F. Fotouhi, “Enhancing e-Business on the Semantic Web through Automatic Multimedia Representation”, Semantic Web Technologies and E-Business, A. F. Salam and J. R. Stevens (Eds.), Chapter VI, pp. 154-168, Idea Group Publishing, 2007.

  6. Y. Chen, M. Rege, M. Dong and J. Hua, “Incorporating User provided Constraints into Document Clustering”, Proc. of IEEE ICDM, Omaha, NE, October 2007. (Regular Paper)

  7. Y. Chen, M. Rege, M. Dong and F. Fotouhi, “Deriving Semantics for Image Clustering from Accumulated User Feedbacks”, Proc. of ACM Multimedia, Germany, 2007.

  8. M. Rege, M. Dong and J. Hua, “Clustering Web Images with Multi-modal Features”, Proc. of ACM Multimedia, Germany, 2007.

  9. G. Zou, J. Hua, and M. Dong, “Integrative Information Visualization of Multimodality Neuroimaging Data”, Proc. of the 15th Pacific Graphics Conference, Hawaii, 2007.

  10. C. Yang, D. Pandian, M. Dong, J. Hua, and E. Mark Haacke, “Automatic Tumor Detection and Recognition in 3D MR Imaging”, In the Annual Joint Molecular Imaging Conference, 2007.

  11. Y. Li, M. Dong and J. Hua, “Localized Feature Selection for Clustering and its Application in Image Grouping”, Proc. of IEEE International Conference on Multimedia and Expo, Beijing, China, 2007. (Oral presentation)

  12. Y. Chen, M. Dong, and M. Rege, “Gene Expression Clustering: a Novel Graph Partitioning Approach”, IEEE International Joint Conference on Neural Networks, Orlando, Florida, August 2007.

  13. Yunhao Tan, Jing Hua, and Ming Dong, "Feature Curve-Guided Volume Reconstruction from 2D Images", Proceedings of International Symposium on Biomedical Imaging, Washington, DC, April 2007.

  14. Darshan Pai, Guangyu Zou, Jing Hua, Ming Dong, Xianfeng Gu, and Otto Muzik, "A Conformal and Statistical Surface Mapping Method for 3D PET Image Analysis", Proceedings of the Ninth International Conference on Computer Graphics and Imaging, Austria, February 2007.

  15. D. Pandian, M. Dong, J. Hua, and E. M. Haacke, “Brain Tumor Detection Using Scale Invariant Feature”, Annual Meeting of International Society for Magnetic Resonance in Medicine, Germany, 2007.

   2006
  1. M. Rege, M. Dong and F. Fotouhi, "Co-clustering documents and words using Bipartite Isoperimetric Graph Partitioning", IEEE International Conference on Data Mining (ICDM) 2006, Hong Kong.

  2. C. Yang, M. Dong and F. Fotouhi, "S-IRAS: an interactive Semantic Image Retrieval and Annotation System", International Journal on Semantic Web and Information Systems, Special Issue on Multimedia Semantics, Vol. 2, No. 3, pp.37 - 54, 2006.

  3. Gulsheen Kaur, Jun Tan, Mohammed Alam, Vipin Chaudhary, Dingguo Chen, Ming Dong, Hazem Eltahawy, Farshad Fotouhi, Christopher Gammage, Jason Gong, William Grosky, Murali Guthikonda, Jingwen Hu, Devkanak Jeyaraj, Xin Jin, Albert King, Joseph Landman, Jong Lee, Qing Hang Li, Hanping Lufei, Michael Morse, Jignesh Patel, Ishwar Sethi, Weisong Shi, King Yang, and Zhiming Zhang, “CASMIL: A comprehensive software/toolkit for Image-guided Neurosurgeries”, International Journal of Medical Robotics and Computer Assisted Surgery, John Wiley & Sons Ltd., Vol. 2, No. 2, June 2006, pp. 118—130

  4. M. Rege, M. Dong and F. Fotouhi, "Co-Clustering Image Features and Semantic Concepts", IEEE ICIP 2006, Atlanta, GA.

  5. M. Dong and Jin Wu, "Localized Support Vector Machines for Classification", IEEE WCCI (IJCNN), Vancouver, Canada.

  6. M. Rege, M. Dong and F. Fotouhi, "Finding a Semantic Structure Interactively In Image Databases", IEEE ICME 2006 (oral presentation), Toronto, Canada.

  7. C. Yang, M. Dong and J. Hua, "Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning", IEEE CVPR 2006, New York City, NY.

  8. X. Luo, M. Dong and Y. Huang, “On Distributed Fault-Tolerant Detection in Wireless Sensor Networks”, IEEE Transactions on Computers, Vol. 55, No. 1, pp. 58-70, 2006.

   2005

  1. Y. Li , M. Dong and R. Kothari, “Classifiability Based Omnivariate Decision Trees”, IEEE Transactions on Neural Networks, Vol. 16, No. 6, pp. 1547 - 1560, 2005.

  2. C. Yang, M. Dong, and F. Fotouhi, “Semantic Feedback to Interactive Image Retrieval", Proc. of ACM International Conference on Multimedia, Singapore, Nov 6 - 11, 2005.

  3. C. Yang, M. Dong, and F. Fotouhi, “Region Based Image Annotation Through Multiple-Instance Learning”, Proc. of ACM International Conference on Multimedia, Singapore, Nov 6 - 11, 2005.

  4.  M. Dong and X. Zhou, “Mining Technical Patterns in U. S. Stock Market through Soft Computing”, Computational Intelligence for Modeling and Predictions, S. Halgamuge and L. Wang (Eds.), Chapter 18, pp. 247-264, Springer-Verlag, 2005

  5. X. Luo, M. Dong and Y. Huang, “Optimal Fault-tolerant Event Detection in Wireless Sensor Networks”, Proc. of 13th European Signal Processing Conference, Antalya, Turkey, 2005.

  6. C. Yang, M. Dong, and F. Fotouhi, “Image content annotation using Bayesian Framework and Complement Components Analysis", Proc. of IEEE International Conference on Image Processing, Genova, Italy, Sept 11 - 14, 2005.

  7. X. Luo, M. Dong and Y. Huang, “Adaptive Fault-tolerant Event Detection in Sensor Networks”, Proc. of  the Second International Workshop on Networked Sensing Systems, pp. 142-147, San Diego, California, 2005.

  8. M. Rege, M. Dong, and F.Fotouhi, “XML Path based Relevance Model for Automatic Image Annotation”, Proc. of IEEE International Conference on Multimedia and Expo, Amsterdam, Netherlands, July 6 - 8, 2005.

  9. C. Yang, M. Dong, and F. Fotouhi, “I2A: an Interactive Image Annotation system”, Proc. of IEEE International Conference on Multimedia and Expo (oral presentation), Amsterdam, Netherlands, July 6 - 8, 2005.

  10. Jing Jiang, Ming Dong, and E. Mark Haacke, “ARGDYP: an adaptive region growing and dynamic programming algorithm for stenosis detection in MRI”, Proc. of IEEE ICASSP, Philadelphia, PA, Mar. 2005.

  11. M. Rege, M. Dong, F.Fotouhi, and M. Siadat, “Using MPEG-7 to build a human brain image database for image guided neurosurgery”, Proc. of SPIE International Symposium on Medical Imaging, vol. 5744, pp. 512–519, San Diego, CA, Feb. 2005.

   2004

  1. Rajeev Agrawal, Farshad Fotouhi, Peter Stanchev, and Ming Dong, “MPEG-7 Based Image Retrieval On The World Wide Web”, International Journal of Information Theories and Applications, Vol. 11, No. 2, pp. 112 – 120, 2004 (Also appeared in Proc. The Second International Workshop on Multimedia Semantics, 2004)

  2. D. P. Agrawal, M. Lu, T. C. Keener, M. Dong, and V. Kumar, “Exploiting the use of Wireless Sensor Networks for Environmental Monitoring”, EM Magazine, pp 27 --33, August 2004.

  3. M Johnson, F. Fotouhi, S Drachici, M. Dong and D. Xu, “Discovering Document Semantics QBYS: A System for Querying the WWW by Semantics”, Multimedia Tools and Applications, Vol. 24, pp. 155--188, 2004.

  4. Xu-shen Zhou and M. Dong, “Can Fuzzy Logic Make Technical Analysis 20/20?”, Financial Analyst Journal,  Vol. 60, No. 4, pp. 54--75, July/August 2004.

  5. C. Yang,  M. Dong, and F. Fotouhi, “Learning the Semantics in Image Retrieval - A Statistical Natural Language Processing Approach”, Proc. of 4th International Workshop on Multimedia Data and Document Engineering (MDDE-04), In conjunction with Computer Vision Pattern Recognition Conference (CVPR-04), July 2004.

  6. Jing Jiang, Ming Dong, and E. Mark Haacke, “A New Method to Measure Cross Sectional Area of Vessels in MRI Image and Its Application in Stenosis Detection”,  Proc. IEEE International Symposium on Biomedical Imaging, April, 2004.

  7. Shiyong Lu, Dapeng Liu, Farshad Fotouhi, Ming Dong, Robert Reynolds, Anthony Aristar, Martha Ratliff, Geoff Nathan, Joseph Tan, and Ronald Powell, “Language Engineering For The Semantic Web: A Digital Library For Endangered Languages”, International Journal of Information Research, Volume 9, No. 3, April 2004.

   2003

  1. W.I. Grosky, F. Fotouhi, A. Aristar, M. Dong, H. Jamil, S. Lu, and R. Reynolds, “A Digital Library for Endangered Languages”,  Proceedings of the 2003 Nara Symposium for Digital Silk Roads, Nara, Japan, December 2003, pp. 85-92.

  2. Jeffrey Stefan, Robert Reynolds, Farshad Fotouhi, Anthony Aristar, Shiyong Lu, and Ming Dong, “Evolution Based Approaches to the Preservation of Endangered Natural Languages”, Proc. of the IEEE International Congress on Evolutionary Computation (CEC'2003), pp.1980-1987, Canberra, Australia, December, 2003.

  3. M. Dong, Y. Li and R. Kothari, “Theoretical Results on A Measure of Classification Complexity”, Proc. of 5th International Conference on Advances in Pattern Recognition,  pp. 85-88, 2003, Calcutta, India.

  4. X. Duo, M. Dong, F. Fotouhi and L. Schwiebert, “Hierarchical Search and Browsing of Face Image Databases”, Smart Engineering System Design:  Neural Networks, Fuzzy Logic, Evolutionary Programming, Data Mining and Complex Systems, Vol 13, pp. 601 -- 606, 2003.

  5. Ming Dong and Xu-shen Zhou, “Analyzing Dividend Events with Neural Network Rule Extraction, ” Proc. International Joint Conference on Neural Networks (IJCNN), pp. 2854 -- 2859, 2003, Portland, OR. (download pdf)

  6. Y. Li and M. Dong, “Classifiability Based Omnivariate Decision Trees, ” Proc. International Joint Conference on Neural Networks (IJCNN), pp. 3223 --3228, 2003, Portland, OR. (download pdf)

  7.  M. Dong and R. Kothari, “Feature Subset Selection Using a New Definition of Classifiability”, Pattern Recognition Letters, Vol. 23, pp. 1215--1225, 2003. (download pdf)

    2002

  1. M. Johnson, F. Fotouhi, S. Draghici and M. Dong, “Enhancing Query-by-Structure Neural Network Net Approach ”,Proceedings of Workshop on Multimedia Semantics in conjunction with SOFSEM, November 2002.  (download pdf)

  2. M. Dong and Xu-shen Zhou, “Analyzing Visual Technical Patterns - A Neural Network Based Saliency Analysis”, Proc. International Conference on Neural Information Processing (ICONIP)02, Vol.5, 2345-2349, 2002, Singapore. (download pdf)

  3. M. Dong and Xu-shen Zhou, “Exploring the Fuzzy Nature of Technical Patterns of U. S Stock Market”, Proc. Fuzzy System and Knowledge Discovery (FSKD)02, Vol.1, 324-328, 2002, Singapore.  (download pdf)

  4. Shiyong Lu, Ming Dong, Farshad Fotouhi, “The Semantic Web: Opportunities and Challenges for Next-Generation Web Applications”, Information Research, 7(4). Special Issue on the Semantic Web. 2002. (download pdf)

    2001

  1. M. Dong, “A New Measure of Classifiability and Its Applications”, Ph.D. dissertation, August 2001.

  2. M. Dong and R. Kothari, “Look-Ahead Based Fuzzy Decision Tree Induction,” IEEE Transactions on Fuzzy System, Vol 9, Number 3, pp. 461--468, 2001.(download pdf)

  3.  R. Kothari and M. Dong, “Decision Trees for Classification: A review and some new results,” in Lecture Notes in Pattern Recognition, S.R. Pal and N.R. Pal, (Eds.), Singapore, 2001, World Scientific Publishing Company. (download pdf)

  4.  M. Dong and R. Kothari, “ Classifiability Based Pruning of Decision Trees, ” Proc. International Joint Conference on Neural Networks (IJCNN), Vol. 3, pp. 1739-1743, 2001. (download pdf)

  5.  M. Dong, R. Kothari, M. Visscher and S. Hoath, “Evaluating Skin Condition Using a Decision Tree, ” Proc. International Joint Conference on Neural Networks (IJCNN), Vol. 4, pp. 2456-2460, 2001.(download pdf)

  6.  M. Dong and R. Kothari, “Texture Based Look-Ahead for Decision Tree Induction, ” Advances in Pattern Recognition - ICAPR 2001(Lecture Notes in computer Science -- Vol. 2013), S. singh, N. Murshed and K. Kropatsch (Eds.), Springer-verlag, 2001.  (download pdf)

    1999

  1.  R. Kothari, M. Dong and D. Bhatia, “Neighborhood Induced Stochastic Resonance, ” Proc. International Joint Conference on Neural Networks, Vol. 1, pp. 621-624, 1999. (download pdf)