Ming Dong

Publication Activity (10 Years)

Years Active: 1999-2024
Publications (10 Years): 27

Top Topics

Structured Prediction

Robust Object Tracking

Convolutional Neural Networks

Top Venues

IEEE Trans. Medical Imaging

Publications

Qinghua Ren, Shijian Lu, Qirong Mao, Ming Dong
Exploring Prototype-Anchor Contrast for Semantic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Lijian Gao, Qirong Mao, Ming Dong
On Local Temporal Embedding for Semi-Supervised Sound Event Detection. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Qisheng He, Ming Dong, Nicholas Summerfield, Carri Glide-Hurst
MAGNET: A Modality-Agnostic Network for 3d Medical Image Segmentation. ISBI (2023)
Soumyanil Banerjee, Ming Dong, Carri Glide-Hurst
Dual self-distillation of U-shaped networks for 3D medical image segmentation. CoRR (2023)
Qisheng He, Weisong Shi, Ming Dong
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach. BigData (2023)
Lijian Gao, Qirong Mao, Ming Dong
Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection. INTERSPEECH (2023)
Kaiyue Zhou, Ming Dong, Peiyuan Zhi, Shengjin Wang
Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation. CoRR (2023)
Soumyanil Banerjee, Ming Dong, Weisong Shi
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting. CoRR (2022)
Qisheng He, Soumyanil Banerjee, Loren Schwiebert, Ming Dong
AgileGCN: Accelerating Deep GCN with Residual Connections using Structured Pruning. MIPR (2022)
Lijian Gao, Ling Zhou, Qirong Mao, Ming Dong
Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection. ACM Multimedia (2022)
Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Csaba Juhász, Eishi Asano, Jeong-Won Jeong
Deep Relational Reasoning for the Prediction of Language Impairment and Postoperative Seizure Outcome Using Preoperative DWI Connectome Data of Children With Focal Epilepsy. IEEE Trans. Medical Imaging 40 (3) (2021)
Shixing Chen, Caojin Zhang, Ming Dong, Chengcui Zhang
Cross-domain Person Re-Identification with Identity-preserving Style Transfer. MIPR (2021)
Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Eishi Asano, Jeong-Won Jeong
Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data. ISBI (2020)
Xinpeng L. Liao, Chengcui Zhang, Ming Dong, Xin Chen
Person Reidentification by Deep Structured Prediction - A Fully Parameterized Approach. IEEE Multim. 26 (3) (2019)
Haotian Xu, Ming Dong, Min-Hee Lee, Noel O'Hara, Eishi Asano, Jeong-Won Jeong
Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks. IEEE Trans. Medical Imaging 38 (8) (2019)
Xinpeng L. Liao, Chengcui Zhang, Ming Dong, Xin Chen
Deep Structured Prediction: A New Formulation for Person Re-Identification. MIPR (2018)
Shixing Chen, Caojin Zhang, Ming Dong
Coupled End-to-End Transfer Learning With Generalized Fisher Information. CVPR (2018)
Haotian Xu, Ming Dong, Yasuo Nakai, Eishi Asano, Jeong-Won Jeong
Automatic detection of eloquent axonal pathways in diffusion tractography using intracanial electrical stimulation mapping and convolutional neural networks. ISBI (2018)
Shixing Chen, Caojin Zhang, Ming Dong
Deep Age Estimation: From Classification to Ranking. IEEE Trans. Multim. 20 (8) (2018)
Shixing Chen, Ming Dong, Dongxiao Zhu
Learning and Interpreting Features to Rank: A Case Study on Age Estimation. Int. J. Multim. Data Eng. Manag. 9 (3) (2018)
Shixing Chen, Ming Dong, Jialiang Le, Saeed Barbat
Understanding Human Aging Patterns from a Machine Perspective. MIPR (2018)
Raed Almomani, Ming Dong, Dongxiao Zhu
Object tracking via Dirichlet process-based appearance models. Neural Comput. Appl. 28 (5) (2017)
Haotian Xu, Ming Dong, Zichun Zhong
Directionally Convolutional Networks for 3D Shape Segmentation. ICCV (2017)
Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao
Using Ranking-CNN for Age Estimation. CVPR (2017)
Haotian Xu, Ming Dong, Dongxiao Zhu, Alexander Kotov, April Idalski Carcone, Sylvie Naar-King
Text Classification with Topic-based Word Embedding and Convolutional Neural Networks. BCB (2016)
Raed Almomani, Ming Dong, Dongxiao Zhu
A Bayesian hierarchical appearance model for robust object tracking. ICME (2016)
Mehedi Hasan, Alexander Kotov, April Idalski Carcone, Ming Dong, Sylvie Naar, Kathryn Brogan Hartlieb
A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories. J. Biomed. Informatics 62 (2016)
Lijun Wang, Ming Dong
Exemplar-based low-rank matrix decomposition for data clustering. Data Min. Knowl. Discov. 29 (2) (2015)
Lijun Wang, Ming Dong, Alexander Kotov
Multi-level Approximate Spectral Clustering. ICDM (2015)
Alexander Kotov, Mehedi Hasan, April Idalski Carcone, Ming Dong, Sylvie Naar-King, Kathryn Brogan Hartlieb
Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text. AMIA (2015)
Raed Almomani, Ming Dong, Zhou Liu
Learning Good Features to Track. ICMLA (2014)
Lijun Wang, Ming Dong
Detection of Abnormal Human Behavior Using a Matrix Approximation-Based Approach. ICMLA (2014)
Zhou Liu, Heng Yang, Ming Dong, Jing Hua
A Bayesian Framework for Accurate Eye Center Localization. ISVC (2) (2014)
Raed Almomani, Ming Dong
SegTrack: A novel tracking system with improved object segmentation. ICIP (2013)
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Ding
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering. IEEE Trans. Knowl. Data Eng. 24 (6) (2012)
Lijun Wang, Ming Dong
Multi-level Low-rank Approximation-based Spectral Clustering for image segmentation. Pattern Recognit. Lett. 33 (16) (2012)
Lijun Wang, Ming Dong
Real-time detection of abnormal crowd behavior using a matrix approximation-based approach. ICIP (2012)
Chang Liu, Zhaoqiang Lai, Ming Dong, Jing Hua
Multi-instance rendering based on dynamic differential surface propagation. ICIP (2012)
Lijun Wang, Ming Dong
On the clustering of large-scale data: A matrix-based approach. IJCNN (2011)
Yanhua Chen, Lijun Wang, Ming Dong
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering. IEEE Trans. Knowl. Data Eng. 22 (10) (2010)
Yanhua Chen, Ming Dong, Wanggen Wan
Image co-clustering with multi-modality features and user feedbacks. ACM Multimedia (2009)
Yanhua Chen, Lijun Wang, Ming Dong, Jing Hua
Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115). IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Yanhua Chen, Lijun Wang, Ming Dong
Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization. ECML/PKDD (1) (2009)
Yuanhong Li, Ming Dong, Jing Hua
Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures. IEEE Trans. Pattern Anal. Mach. Intell. 31 (5) (2009)
Guangyu Zou, Jing Hua, Zhaoqiang Lai, Xianfeng Gu, Ming Dong
Intrinsic Geometric Scale Space by Shape Diffusion. IEEE Trans. Vis. Comput. Graph. 15 (6) (2009)
Yanhua Chen, Lijun Wang, Ming Dong
A matrix-based approach for semi-supervised document co-clustering. CIKM (2008)
Yuanhong Li, Ming Dong, Yunqian Ma
Localized feature selection for Gaussian mixtures using variational learning. ICPR (2008)
Yuanhong Li, Ming Dong, Jing Hua
Localized feature selection for clustering. Pattern Recognit. Lett. 29 (1) (2008)
Manjeet Rege, Ming Dong, Jing Hua
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering. WWW (2008)
Ming Dong, Yanhua Chen
Salient region detection and feature extraction in 3D visual data. ICIP (2008)
Manjeet Rege, Ming Dong, Farshad Fotouhi
Bipartite isoperimetric graph partitioning for data co-clustering. Data Min. Knowl. Discov. 16 (3) (2008)
Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua
Non-negative matrix factorization for semi-supervised data clustering. Knowl. Inf. Syst. 17 (3) (2008)
Guangyu Zou, Jing Hua, Ming Dong, Hong Qin
Surface matching with salient keypoints in geodesic scale space. Comput. Animat. Virtual Worlds 19 (3-4) (2008)
Yuanhong Li, Ming Dong, Yunqian Ma
Feature selection for clustering with constraints using Jensen-Shannon divergence. ICPR (2008)
Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu, Hong Qin
Geodesic Distance-weighted Shape Vector Image Diffusion. IEEE Trans. Vis. Comput. Graph. 14 (6) (2008)
Manjeet Rege, Ming Dong, Farshad Fotouhi
Building a user-centered semantic hierarchy in image databases. Multim. Syst. 12 (4-5) (2007)
Yanhua Chen, Ming Dong, Manjeet Rege
Gene Expression Clustering: a Novel Graph Partitioning Approach. IJCNN (2007)
Yunhao Tan, Jing Hua, Ming Dong
Feature Curve-Guided Volume Reconstruction from 2d Images. ISBI (2007)
Guangyu Zou, Jing Hua, Ming Dong
Integrative Information Visualization of Multimodality Neuroimaging Data. PG (2007)
Yuanhong Li, Ming Dong, Jing Hua
Localized Feature Selection for Clustering and its Application in Image Grouping. ICME (2007)
Ming Dong, Jing Hua, Yuanhong Li
A Gaussian Mixture Model to Detect Clusters Embedded in Feature Subspace. Commun. Inf. Syst. 7 (4) (2007)
Yanhua Chen, Manjeet Rege, Ming Dong, Farshad Fotouhi
Deriving semantics for image clustering from accumulated user feedbacks. ACM Multimedia (2007)
Manjeet Rege, Ming Dong, Jing Hua
Clustering web images with multi-modal features. ACM Multimedia (2007)
Yunhao Tan, Jing Hua, Ming Dong
3D reconstruction from 2D images with hierarchical continuous simplices. Vis. Comput. 23 (9-11) (2007)
Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua
Incorporating User Provided Constraints into Document Clustering. ICDM (2007)
Changbo Yang, Ming Dong, Jing Hua
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning. CVPR (2) (2006)
Manjeet Rege, Ming Dong, Farshad Fotouhi
Co-Clustering Image Features and Semantic Concepts. ICIP (2006)
Manjeet Rege, Ming Dong, Farshad Fotouhi
Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning. ICDM (2006)
Changbo Yang, Ming Dong, Farshad Fotouhi
S-IRAS: An Interactive Semantic Image Retrieval and Annotation System. Int. J. Semantic Web Inf. Syst. 2 (3) (2006)
Ming Dong, Jing Wu
Localized Support Vector Machines for Classification. IJCNN (2006)
Manjeet Rege, Ming Dong, Farshad Fotouhi
Finding a Semantic Structure Interactively in Image Databases. ICME (2006)
Changbo Yang, Ming Dong, Farshad Fotouhi
Semantic feedback for interactive image retrieval. ACM Multimedia (2005)
Yuanhong Li, Ming Dong, Ravi Kothari
Classifiability-based omnivariate decision trees. IEEE Trans. Neural Networks 16 (6) (2005)
Manjeet Rege, Ming Dong, Farshad Fotouhi, Mohammad-Reza Siadat, Lucia Zamorano
Using MPEG-7 to build a human brain image database for image-guided neurosurgery. Medical Imaging: Image-Guided Procedures (2005)
Changbo Yang, Ming Dong, Farshad Fotouhi
Image content annotation using Bayesian framework and complement components analysis. ICIP (1) (2005)
Changbo Yang, Ming Dong, Farshad Fotouhi
Region based image annotation through multiple-instance learning. ACM Multimedia (2005)
Manjeet Rege, Ming Dong, Farshad Fotouhi
XML path based relevance model for automatic image annotation. ICME (2005)
Changbo Yang, Ming Dong, Farshad Fotouhi
A: an interactive image annotation system. ICME (2005)
Changbo Yang, Ming Dong, Farshad Fotouhi
Learning the Semantics in Image Retrieval - A Natural Language Processing Approach. CVPR Workshops (2004)
Michael Johnson, Farshad Fotouhi, Sorin Draghici, Ming Dong, Duo Xu
Discovering Document Semantics QBYS: A System for Querying the WWW by Semantics. Multim. Tools Appl. 24 (2) (2004)
Changbo Yang, Ming Dong, Farshad Fotouhi
Learning the Semantics in Image Retrieval - A Natural Language Processing Approach. MDDE (2004)
Shiyong Lu, Dapeng Liu, Farshad Fotouhi, Ming Dong, Robert G. Reynolds, Anthony Aristar, Martha Ratliff, Geoff Nathan, Joseph Tan, Ronald Powell
Language engineering for the Semantic Web: a digital library for endangered languages. Inf. Res. 9 (3) (2004)
Ming Dong, Ravi Kothari
Feature subset selection using a new definition of classifiability. Pattern Recognit. Lett. 24 (9-10) (2003)
Shiyong Lu, Ming Dong, Farshad Fotouhi
The Semantic Web: opportunities and challenges for next-generation Web applications. Inf. Res. 7 (4) (2002)
Ming Dong, Ravi Kothari
Look-ahead based fuzzy decision tree induction. IEEE Trans. Fuzzy Syst. 9 (3) (2001)
Ming Dong, Ravi Kothari
Texture Based Look-Ahead for Decision-Tree Induction. ICAPR (2001)
Ravi Kothari, Ming Dong, Dinesh K. Bhatia
Neighborhood induced stochastic resonance. IJCNN (1999)