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Ming Dong
Ming Dong
Professor of Computer Science, Wayne State University
Verified email at wayne.edu
Title
Cited by
Cited by
Year
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
6362014
On distributed fault-tolerant detection in wireless sensor networks
X Luo, M Dong, Y Huang
IEEE Transactions on computers 55 (1), 58-70, 2005
4492005
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
3962014
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
2962017
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
2762018
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
2402006
Spa-gan: Spatial attention gan for image-to-image translation
H Emami, MM Aliabadi, M Dong, RB Chinnam
IEEE Transactions on Multimedia 23, 391-401, 2020
1822020
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
1462009
Non-negative matrix factorization for semi-supervised data clustering
Y Chen, M Rege, M Dong, J Hua
Knowledge and Information Systems 17, 355-379, 2008
1432008
The Semantic Web: opportunities and challenges for next-generation Web applications
S Lu, M Dong, F Fotouhi
Information research 7 (4), 7-4, 2002
1382002
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
1302005
Look-ahead based fuzzy decision tree induction
M Dong, R Kothari
IEEE Transactions on fuzzy systems 9 (3), 461-468, 2001
1162001
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
1052009
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
1052006
Localized feature selection for clustering
Y Li, M Dong, J Hua
Pattern Recognition Letters 29 (1), 10-18, 2008
1042008
Feature subset selection using a new definition of classifiability
M Dong, R Kothari
Pattern Recognition Letters 24 (9-10), 1215-1225, 2003
972003
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
872008
Hierarchical Bayesian theme models for multipose facial expression recognition
Q Mao, Q Rao, Y Yu, M Dong
IEEE Transactions on Multimedia 19 (4), 861-873, 2016
772016
Classifiability-based omnivariate decision trees
Y Li, M Dong, R Kothari
IEEE Transactions on Neural Networks 16 (6), 1547-1560, 2005
742005
Cardiac substructure segmentation with deep learning for improved cardiac sparing
ED Morris, AI Ghanem, M Dong, MV Pantelic, EM Walker, CK Glide‐Hurst
Medical physics 47 (2), 576-586, 2020
732020
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