| 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 | 698 | 2014 |
| On distributed fault-tolerant detection in wireless sensor networks X Luo, M Dong, Y Huang IEEE Transactions on computers 55 (1), 58-70, 2005 | 454 | 2005 |
| 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 | 443 | 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 | 324 | 2017 |
| 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 | 321 | 2018 |
| 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 | 241 | 2006 |
| 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 | 237 | 2020 |
| 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 | 146 | 2009 |
| 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 | 146 | 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 | 139 | 2002 |
| 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 | 133 | 2005 |
| Look-ahead based fuzzy decision tree induction M Dong, R Kothari IEEE Transactions on fuzzy systems 9 (3), 461-468, 2001 | 121 | 2001 |
| 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 | 108 | 2009 |
| 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 | 108 | 2006 |
| Localized feature selection for clustering Y Li, M Dong, J Hua Pattern Recognition Letters 29 (1), 10-18, 2008 | 106 | 2008 |
| Feature subset selection using a new definition of classifiability M Dong, R Kothari Pattern Recognition Letters 24 (9-10), 1215-1225, 2003 | 98 | 2003 |
| 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 | 86 | 2020 |
| 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 | 84 | 2008 |
| Text classification with topic-based word embedding and convolutional neural networks H Xu, M Dong, D Zhu, A Kotov, AI Carcone, S Naar-King Proceedings of the 7th ACM International Conference on Bioinformatics …, 2016 | 81 | 2016 |
| Classifiability-based omnivariate decision trees Y Li, M Dong, R Kothari IEEE Transactions on Neural Networks 16 (6), 1547-1560, 2005 | 81 | 2005 |
