Ming Dong

发表

Learning the Semantics in Image Retrieval - A Natural Language Processing Approach

Farshad Fotouhi, Ming Dong, Changbo Yang, 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

Coupled End-to-End Transfer Learning with Generalized Fisher Information

Ming Dong, Caojin Zhang, Shixing Chen, 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Learning and Interpreting Features to Rank: A Case Study on Age Estimation

D. Zhu, Ming Dong, Shixing Chen, 2018, Int. J. Multim. Data Eng. Manag..

Localized feature selection for unsupervised learning

Ming Dong, Yuanhong Li, 2010 .

Classification with Topic-based Word Embedding and Convolutional Neural Networks

D. Zhu, Alexander Kotov, Ming Dong, 2016 .

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W. Grosky, F. Fotouhi, Changbo Yang, 2006 .

Prioritization of Multi-Level Risk Factors for Obesity

Ming Dong, Lu Wang, Dongxiao Zhu, 2019, 2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Multi-level Low-rank Approximation-based Spectral Clustering for image segmentation

Ming Dong, Lijun Wang, Ming Dong, 2012, Pattern Recognit. Lett..

Intrinsic Geometric Scale Space by Shape Diffusion

Jing Hua, Ming Dong, Xianfeng Gu, 2009, IEEE Transactions on Visualization and Computer Graphics.

Generating synthetic CTs from magnetic resonance images using generative adversarial networks

Ming Dong, Hajar Emami, Siamak P Nejad-Davarani, 2018, Medical physics.

Geodesic Distance-weighted Shape Vector Image Diffusion

Hong Qin, Jing Hua, Ming Dong, 2008, IEEE Transactions on Visualization and Computer Graphics.

Selection-fusion approach for classification of datasets with missing values

Ming Dong, Hamid Soltanian-Zadeh, Hao Ying, 2010, Pattern Recognit..

A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories

Ming Dong, Alexander Kotov, Mehedi Hasan, 2016, J. Biomed. Informatics.

Multinomial classification with class-conditional overlapping sparse feature groups

Dongxiao Zhu, Ming Dong, Xiangrui Li, 2018, Pattern Recognit. Lett..

Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering

Yanhua Chen, Ming Dong, Lijun Wang, 2010, IEEE Transactions on Knowledge and Data Engineering.

SPA-GAN: Spatial Attention GAN for Image-to-Image Translation

Ratna Babu Chinnam, Ming Dong, Hajar Emami, 2019, IEEE Transactions on Multimedia.

Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads

Yan Li, Dongxiao Zhu, Ming Dong, 2016, ISBRA.

SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors

Dongxiao Zhu, Ming Dong, Xiangrui Li, 2017, CRI.

Cardiac Substructure Segmentation with Deep Learning for Improved Cardiac Sparing.

Ming Dong, Eric D Morris, Carri K Glide-Hurst, 2019, Medical physics.

Deep Relational Reasoning for the Prediction of Language Impairment and Postoperative Seizure Outcome Using Preoperative DWI Connectome Data of Children With Focal Epilepsy

Ming Dong, Jeong-Won Jeong, Eishi Asano, 2020, IEEE Transactions on Medical Imaging.

Objective Detection of Eloquent Axonal Pathways to Minimize Postoperative Deficits in Pediatric Epilepsy Surgery Using Diffusion Tractography and Convolutional Neural Networks

Ming Dong, Jeong-Won Jeong, Eishi Asano, 2019, IEEE Transactions on Medical Imaging.

Deep Age Estimation: From Classification to Ranking

Ming Dong, Shixing Chen, Caojin Zhang, 2018, IEEE Transactions on Multimedia.

Non-negative matrix factorization for semi-supervised data clustering

Jing Hua, Yanhua Chen, Ming Dong, 2008, Knowledge and Information Systems.

Directionally Convolutional Networks for 3D Shape Segmentation

Ming Dong, Zichun Zhong, Haotian Xu, 2017, 2017 IEEE International Conference on Computer Vision (ICCV).

Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks

Yongzhao Zhan, Qirong Mao, Ming Dong, 2014, IEEE Transactions on Multimedia.

Object tracking via Dirichlet process-based appearance models

Dongxiao Zhu, Ming Dong, Raed Almomani, 2017, Neural Computing and Applications.

Performance of deep learning synthetic CTs for MR‐only brain radiation therapy

L. Schultz, Ming Dong, S. Nejad-Davarani, 2021, Journal of applied clinical medical physics.

Data clustering and visualization through matrix factorization

Ming Dong, Yanhua Chen, Ming Dong, 2010 .

Bipartite isoperimetric graph partitioning for data co-clustering

Farshad Fotouhi, Ming Dong, Manjeet Rege, 2008, Data Mining and Knowledge Discovery.

Gene Expression Clustering: a Novel Graph Partitioning Approach

Yanhua Chen, Ming Dong, Manjeet Rege, 2007, 2007 International Joint Conference on Neural Networks.

Classifiability-based omnivariate decision trees

Ravi Kothari, Ming Dong, Yuanhong Li, 2005, IEEE Transactions on Neural Networks.

Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-Driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy

Ming Dong, Jeong-Won Jeong, Eishi Asano, 2020, IEEE Transactions on Biomedical Engineering.

Clustering over‐dispersed data with mixed feature types

Dongxiao Zhu, Ming Dong, Lu Wang, 2018, Stat. Anal. Data Min..

Speech Emotion Recognition Using CNN

Yongzhao Zhan, Qirong Mao, Ming Dong, 2014, ACM Multimedia.

Learning Modality Complementary Features with Mixed Attention Mechanism for RGB-T Tracking

Ming Dong, Yang Luo, Xiqing Guo, 2023, Sensors.

Localized feature selection for clustering

Jing Hua, Ming Dong, Yuanhong Li, 2008, Pattern Recognit. Lett..

Non-contact Home Health Monitoring Based on Low-Cost High-Performance Accelerometers

Yong Xu, Ming Dong, Philip Levy, 2017, 2017 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE).

Triple attention network for sentimental visual question answering

Ming Dong, Qirong Mao, Heping Song, 2019, Comput. Vis. Image Underst..

Mood-aware visual question answering

Jianping Gou, Qirong Mao, Ming Dong, 2019, Neurocomputing.

Image content annotation using Bayesian framework and complement components analysis

Farshad Fotouhi, Ming Dong, Changbo Yang, 2005, IEEE International Conference on Image Processing 2005.

Developing Machine Learning Models for Behavioral Coding

Alexander Kotov, Mehedi Hasan, Ming Dong, 2019, Journal of pediatric psychology.

Affective Visual Question Answering Network

Qirong Mao, Ming Dong, Liangjun Wang, 2018, 2018 IEEE Conference on Multimedia Information Processing and Retrieval (MIPR).

Using Ranking-CNN for Age Estimation

Ming Dong, Shixing Chen, Jialiang Le, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Surface matching with salient keypoints in geodesic scale space

Hong Qin, Jing Hua, Ming Dong, 2008, Comput. Animat. Virtual Worlds.

Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering

Yongsheng Ding, Ming Dong, Lijun Wang, 2012, IEEE Transactions on Knowledge and Data Engineering.

Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data

Ming Dong, Eishi Asano, Min-Hee Lee, 2020, 2020 IEEE 17th International Symposium on Biomedical Imaging (ISBI).

On distributed fault-tolerant detection in wireless sensor networks

Ming Dong, Yinlun Huang, Xuanwen Luo, 2006, IEEE Transactions on Computers.

Classifiability based omnivariate decision trees

Ming Dong, Ming Dong, Y. Li, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation

Ming Dong, Hajar Emami, Carri K. Glide-Hurst, 2020, 2020 IEEE 21st International Conference on Information Reuse and Integration for Data Science (IRI).

Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning

Farshad Fotouhi, Ming Dong, Manjeet Rege, 2006, Sixth International Conference on Data Mining (ICDM'06).

Automatic detection of eloquent axonal pathways in diffusion tractography using intracanial electrical stimulation mapping and convolutional neural networks

Ming Dong, Jeong-Won Jeong, Yasuo Nakai, 2018, 2018 IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018).

Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation pdf

Ming Dong, Qirong Mao, Ling Zhou, 2020, ArXiv.

Multi-instance rendering based on dynamic differential surface propagation

Chang Liu, Jing Hua, Ming Dong, 2012, 2012 19th IEEE International Conference on Image Processing.

Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition

Qirong Mao, Ming Dong, Yongbin Yu, 2017, IEEE Transactions on Multimedia.

Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation

Ming Dong, C. Glide-Hurst, Qisheng He, 2023, ArXiv.

Real-time detection of abnormal crowd behavior using a matrix approximation-based approach

Ming Dong, Lijun Wang, Ming Dong, 2012, 2012 19th IEEE International Conference on Image Processing.

Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition

Yongzhao Zhan, Qirong Mao, Ming Dong, 2018, ACM Trans. Multim. Comput. Commun. Appl..

Integrative Information Visualization of Multimodality Neuroimaging Data

Jing Hua, Ming Dong, Guangyu Zou, 2007, 15th Pacific Conference on Computer Graphics and Applications (PG'07).

Incorporating User Provided Constraints into Document Clustering

Jing Hua, Yanhua Chen, Ming Dong, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures

Jing Hua, Ming Dong, Yuanhong Li, 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

in geodesic scale space

Jing Hua, Hong Qin, Guangyu Zou, 2008 .

Distributed Faulty Sensor Detection in Sensor Networks

Ming Dong, Xuanwen Luo, Ming Dong, 2009, ICANN.

Exemplar-based low-rank matrix decomposition for data clustering

Ming Dong, Lijun Wang, 2015, Data Mining and Knowledge Discovery.

On the clustering of large-scale data: A matrix-based approach

Ming Dong, Lijun Wang, Ming Dong, 2011, The 2011 International Joint Conference on Neural Networks.

Learning Modality Complementary Features with Mixed Attention Mechanism for RGB-T Tracking

Ming Dong, Yang Luo, Xiqing Guo, 2023, Sensors.

MPEG-7 BASED IMAGE RETRIEVAL ON THE WORLD WIDE WEB

Peter Stanchev, R. Agrawal, F. Fotouli, 2005 .

Smart Health

Jun Hu, Matthias Rauterberg, Ruud van Reijmersdal, 2017, Lecture Notes in Computer Science.

Dual self-distillation of U-shaped networks for 3D medical image segmentation

Soumyanil Banerjee, Ming Dong, C. Glide-Hurst, 2023, ArXiv.

Dependence of vessel area accuracy and precision as a function of MR imaging parameters and boundary detection algorithm

Ming Dong, Jing Jiang, E. Haacke, 2007, Journal of magnetic resonance imaging : JMRI.

Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning

Jing Hua, Ming Dong, Changbo Yang, 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).

Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection

Ming Dong, L. Gao, Qi-rong Mao, 2023, INTERSPEECH 2023.

Incorporating User Provided Constraints into Document Clustering

Ming Dong, Jing Hua, M. Rege, 2007, Seventh IEEE International Conference on Data Mining (ICDM 2007).

Discovering Document Semantics QBYS: A System for Querying the WWW by Semantics

Michael Johnson, Duo Xu, Farshad Fotouhi, 2004, Multimedia Tools and Applications.