Ming Dong

Orcid: 0000-0001-8133-7809

Affiliations:
  • Wayne State University, Department of Computer Science, Detroit, MI, USA
  • University of Cincinnati, OH, USA (PhD 2001)


According to our database1, Ming Dong authored at least 130 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Exploring Prototype-Anchor Contrast for Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol., August, 2024

On Local Temporal Embedding for Semi-Supervised Sound Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Score-Based Image-to-Image Brownian Bridge.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Conditional Diffusion Model with Spatial Attention and Latent Embedding for Medical Image Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Modality-Agnostic Learning for Medical Image Segmentation Using Multi-Modality Self-Distillation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Localization of Epileptogenicity Using Incomplete MRI Sequence Data in Children with Seizure Onset Zone Involving Temporal Lobe.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Dual Self-Distillation of U-Shaped Networks for 3D Medical Image Segmentation.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

Cascaded Network with Hierarchical Self-Distillation for Sparse Point Cloud Classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

2023
Automated Identification of Toxic Code Reviews Using ToxiCR.
ACM Trans. Softw. Eng. Methodol., September, 2023

Infrastructure-level Support for GPU-Enabled Deep Learning in DATAVIEW.
Future Gener. Comput. Syst., April, 2023

Joint Learning for Scattered Point Cloud Understanding with Hierarchical Self-Distillation.
CoRR, 2023

TE-KWS: Text-Informed Speech Enhancement for Noise-Robust Keyword Spotting.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

MAGNET: A Modality-Agnostic Network for 3d Medical Image Segmentation.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach.
Proceedings of the IEEE International Conference on Big Data, 2023

Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning Approach.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting.
CoRR, 2022

Automated Identification of Toxic Code Reviews: How Far Can We Go?
CoRR, 2022

Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

AgileGCN: Accelerating Deep GCN with Residual Connections using Structured Pruning.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

"Zero-Shot" Point Cloud Upsampling.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

CL-GAN: Contrastive Learning-Based Generative Adversarial Network for Modality Transfer with Limited Paired Data.
Proceedings of the Computer Vision - ECCV 2022 Workshops, 2022

2021
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation.
IEEE Trans. Multim., 2021

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, 2021

Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach.
CoRR, 2021

SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation.
CoRR, 2021

Reproducibility Companion Paper: On Learning Disentangled Representation for Acoustic Event Detection.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Cross-domain Person Re-Identification with Identity-preserving Style Transfer.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021

SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Octave Deep Compression: In-Parallel Pruning-Quantization on Different Frequencies.
Proceedings of the 22nd IEEE International Conference on Information Reuse and Integration for Data Science, 2021

2020
Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-Driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy.
IEEE Trans. Biomed. Eng., 2020

Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation.
CoRR, 2020

Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer.
CoRR, 2020

Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN.
Proceedings of the 3rd IEEE Conference on Multimedia Information Processing and Retrieval, 2020

Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation.
Proceedings of the 21st International Conference on Information Reuse and Integration for Data Science, 2020

2019
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, 2019

Mood-aware visual question answering.
Neurocomputing, 2019

Person Reidentification by Deep Structured Prediction - A Fully Parameterized Approach.
IEEE Multim., 2019

Triple attention network for sentimental visual question answering.
Comput. Vis. Image Underst., 2019

On Learning Disentangled Representation for Acoustic Event Detection.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Prioritization of Multi-Level Risk Factors for Obesity.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

2018
Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Deep Age Estimation: From Classification to Ranking.
IEEE Trans. Multim., 2018

Clustering over-dispersed data with mixed feature types.
Stat. Anal. Data Min., 2018

Multinomial classification with class-conditional overlapping sparse feature groups.
Pattern Recognit. Lett., 2018

Learning and Interpreting Features to Rank: A Case Study on Age Estimation.
Int. J. Multim. Data Eng. Manag., 2018

Cascaded Multi-level Transformed Dirichlet Process for Multi-pose Facial Expression Recognition.
Comput. J., 2018

Affective Visual Question Answering Network.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Deep Structured Prediction: A New Formulation for Person Re-Identification.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Understanding Human Aging Patterns from a Machine Perspective.
Proceedings of the IEEE 1st Conference on Multimedia Information Processing and Retrieval, 2018

Automatic detection of eloquent axonal pathways in diffusion tractography using intracanial electrical stimulation mapping and convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Coupled End-to-End Transfer Learning With Generalized Fisher Information.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

Obesity risk factors ranking using multi-task learning.
Proceedings of the 2018 IEEE EMBS International Conference on Biomedical & Health Informatics, 2018

2017
Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition.
IEEE Trans. Multim., 2017

Object tracking via Dirichlet process-based appearance models.
Neural Comput. Appl., 2017

Modeling Over-Dispersion for Network Data Clustering.
Proceedings of the 16th IEEE International Conference on Machine Learning and Applications, 2017

Directionally Convolutional Networks for 3D Shape Segmentation.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Using Ranking-CNN for Age Estimation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors.
Proceedings of the Summit on Clinical Research Informatics, 2017

2016
A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories.
J. Biomed. Informatics, 2016

Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process.
Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads.
Proceedings of the Bioinformatics Research and Applications - 12th International Symposium, 2016

A Bayesian hierarchical appearance model for robust object tracking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016

Text Classification with Topic-based Word Embedding and Convolutional Neural Networks.
Proceedings of the 7th ACM International Conference on Bioinformatics, 2016

2015
Exemplar-based low-rank matrix decomposition for data clustering.
Data Min. Knowl. Discov., 2015

Multi-level Approximate Spectral Clustering.
Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text.
Proceedings of the AMIA 2015, 2015

2014
Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks.
IEEE Trans. Multim., 2014

Speech Emotion Recognition Using CNN.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

A Bayesian Framework for Accurate Eye Center Localization.
Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Detection of Abnormal Human Behavior Using a Matrix Approximation-Based Approach.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

Learning Good Features to Track.
Proceedings of the 13th International Conference on Machine Learning and Applications, 2014

2013
SegTrack: A novel tracking system with improved object segmentation.
Proceedings of the IEEE International Conference on Image Processing, 2013

2012
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering.
IEEE Trans. Knowl. Data Eng., 2012

Multi-level Low-rank Approximation-based Spectral Clustering for image segmentation.
Pattern Recognit. Lett., 2012

Real-time detection of abnormal crowd behavior using a matrix approximation-based approach.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Multi-instance rendering based on dynamic differential surface propagation.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

2011
On the clustering of large-scale data: A matrix-based approach.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering.
IEEE Trans. Knowl. Data Eng., 2010

2009
Intrinsic Geometric Scale Space by Shape Diffusion.
IEEE Trans. Vis. Comput. Graph., 2009

Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115).
IEEE Trans. Vis. Comput. Graph., 2009

Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures.
IEEE Trans. Pattern Anal. Mach. Intell., 2009

Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009

Image co-clustering with multi-modality features and user feedbacks.
Proceedings of the 17th International Conference on Multimedia 2009, 2009

Distributed Faulty Sensor Detection in Sensor Networks.
Proceedings of the Artificial Neural Networks, 2009

2008
Geodesic Distance-weighted Shape Vector Image Diffusion.
IEEE Trans. Vis. Comput. Graph., 2008

Localized feature selection for clustering.
Pattern Recognit. Lett., 2008

Non-negative matrix factorization for semi-supervised data clustering.
Knowl. Inf. Syst., 2008

Surface matching with salient keypoints in geodesic scale space.
Comput. Animat. Virtual Worlds, 2008

Bipartite isoperimetric graph partitioning for data co-clustering.
Data Min. Knowl. Discov., 2008

Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering.
Proceedings of the 17th International Conference on World Wide Web, 2008

Feature selection for clustering with constraints using Jensen-Shannon divergence.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Localized feature selection for Gaussian mixtures using variational learning.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

Salient region detection and feature extraction in 3D visual data.
Proceedings of the International Conference on Image Processing, 2008

A matrix-based approach for semi-supervised document co-clustering.
Proceedings of the 17th ACM Conference on Information and Knowledge Management, 2008

2007
3D reconstruction from 2D images with hierarchical continuous simplices.
Vis. Comput., 2007

Building a user-centered semantic hierarchy in image databases.
Multim. Syst., 2007

A Gaussian Mixture Model to Detect Clusters Embedded in Feature Subspace.
Commun. Inf. Syst., 2007

Integrative Information Visualization of Multimodality Neuroimaging Data.
Proceedings of the 15th Pacific Conference on Computer Graphics and Applications, 2007

Clustering web images with multi-modal features.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Deriving semantics for image clustering from accumulated user feedbacks.
Proceedings of the 15th International Conference on Multimedia 2007, 2007

Feature Curve-Guided Volume Reconstruction from 2d Images.
Proceedings of the 2007 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2007

Gene Expression Clustering: a Novel Graph Partitioning Approach.
Proceedings of the International Joint Conference on Neural Networks, 2007

Localized Feature Selection for Clustering and its Application in Image Grouping.
Proceedings of the 2007 IEEE International Conference on Multimedia and Expo, 2007

Incorporating User Provided Constraints into Document Clustering.
Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

2006
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks.
IEEE Trans. Computers, 2006

S-IRAS: An Interactive Semantic Image Retrieval and Annotation System.
Int. J. Semantic Web Inf. Syst., 2006

Localized Support Vector Machines for Classification.
Proceedings of the International Joint Conference on Neural Networks, 2006

Finding a Semantic Structure Interactively in Image Databases.
Proceedings of the 2006 IEEE International Conference on Multimedia and Expo, 2006

Co-Clustering Image Features and Semantic Concepts.
Proceedings of the International Conference on Image Processing, 2006

Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning.
Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006

Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning.
Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2006), 2006

2005
Classifiability-based omnivariate decision trees.
IEEE Trans. Neural Networks, 2005

Region based image annotation through multiple-instance learning.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Semantic feedback for interactive image retrieval.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Using MPEG-7 to build a human brain image database for image-guided neurosurgery.
Proceedings of the Medical Imaging 2005: Visualization, 2005

I<sup>2</sup>A: an interactive image annotation system.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

XML path based relevance model for automatic image annotation.
Proceedings of the 2005 IEEE International Conference on Multimedia and Expo, 2005

Image content annotation using Bayesian framework and complement components analysis.
Proceedings of the 2005 International Conference on Image Processing, 2005

Optimal fault-tolerant event detection in wireless sensor networks.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Discovering Document Semantics QBYS: A System for Querying the WWW by Semantics.
Multim. Tools Appl., 2004

Language engineering for the Semantic Web: a digital library for endangered languages.
Inf. Res., 2004

Learning the Semantics in Image Retrieval - A Natural Language Processing Approach.
Proceedings of the Proceedings MDDE '04, 2004

2003
Feature subset selection using a new definition of classifiability.
Pattern Recognit. Lett., 2003

Evolution based approaches to the preservation of endangered natural languages.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003

2002
The Semantic Web: opportunities and challenges for next-generation Web applications.
Inf. Res., 2002

2001
Look-ahead based fuzzy decision tree induction.
IEEE Trans. Fuzzy Syst., 2001

Texture Based Look-Ahead for Decision-Tree Induction.
Proceedings of the Advances in Pattern Recognition, 2001

1999
Neighborhood induced stochastic resonance.
Proceedings of the International Joint Conference Neural Networks, 1999


  Loading...