Ming Dong
Ming Dong
Professor of Computer Science, Wayne State University
Verified email at wayne.edu
Cited by
Cited by
On distributed fault-tolerant detection in wireless sensor networks
X Luo, M Dong, Y Huang
IEEE Transactions on computers 55 (1), 58-70, 2005
Learning salient features for speech emotion recognition using convolutional neural networks
Q Mao, M Dong, Z Huang, Y Zhan
IEEE transactions on multimedia 16 (8), 2203-2213, 2014
Region-based image annotation using asymmetrical support vector machine-based multiple-instance learning
C Yang, M Dong, J Hua
2006 IEEE Computer Society Conference on Computer Vision and Pattern …, 2006
Speech emotion recognition using CNN
Z Huang, M Dong, Q Mao, Y Zhan
Proceedings of the 22nd ACM international conference on Multimedia, 801-804, 2014
Using ranking-cnn for age estimation
S Chen, C Zhang, M Dong, J Le, M Rao
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017
Non-negative matrix factorization for semi-supervised data clustering
Y Chen, M Rege, M Dong, J Hua
Knowledge and Information Systems 17 (3), 355-379, 2008
The Semantic Web: opportunities and challenges for next-generation Web applications
S Lu, M Dong, F Fotouhi
Information research 7 (4), 7-4, 2002
Non-negative matrix factorization for semisupervised heterogeneous data coclustering
Y Chen, L Wang, M Dong
IEEE Transactions on Knowledge and Data Engineering 22 (10), 1459-1474, 2009
Region based image annotation through multiple-instance learning
C Yang, M Dong, F Fotouhi
Proceedings of the 13th annual ACM international conference on Multimedia …, 2005
Look-ahead based fuzzy decision tree induction
M Dong, R Kothari
IEEE Transactions on fuzzy systems 9 (3), 461-468, 2001
Generating synthetic CTs from magnetic resonance images using generative adversarial networks
H Emami, M Dong, SP Nejad‐Davarani, CK Glide‐Hurst
Medical physics 45 (8), 3627-3636, 2018
Co-clustering documents and words using bipartite isoperimetric graph partitioning
M Rege, M Dong, F Fotouhi
Sixth International Conference on Data Mining (ICDM'06), 532-541, 2006
Exemplar-based visualization of large document corpus (infovis2009-1115)
Y Chen, L Wang, M Dong, J Hua
IEEE Transactions on Visualization and Computer Graphics 15 (6), 1161-1168, 2009
Localized feature selection for clustering
Y Li, M Dong, J Hua
Pattern Recognition Letters 29 (1), 10-18, 2008
Feature subset selection using a new definition of classifiability
M Dong, R Kothari
Pattern Recognition Letters 24 (9-10), 1215-1225, 2003
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering
M Rege, M Dong, J Hua
Proceedings of the 17th international conference on World Wide Web, 317-326, 2008
Decision trees for classification: A review and some new results
R Kothari, M Dong
Pattern recognition: from classical to modern approaches, 169-184, 2001
Can fuzzy logic make technical analysis 20/20?
XS Zhou, M Dong
Financial Analysts Journal 60 (4), 54-75, 2004
Surface matching with salient keypoints in geodesic scale space
G Zou, J Hua, M Dong, H Qin
Computer Animation and Virtual Worlds 19 (3‐4), 399-410, 2008
Simultaneous localized feature selection and model detection for gaussian mixtures
Y Li, M Dong, J Hua
Pattern Analysis and Machine Intelligence, IEEE Transactions on 31 (5), 953-960, 2009
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