Ming Dong

146 papers A* 20A 9B 15C 3Misc 4Journal 64Unranked 31
YearRankTypeTitle / Venue / Authors
2026 J jnl
ESM-AnatTractNet: Advanced deep learning model of true positive eloquent white matter tractography to improve preoperative evaluation of pediatric epilepsy surgery.
Medical Image Anal.
Min-Hee Lee, Bohan Xiao, Soumyanil Banerjee, Hiroshi Uda, Yoon Ho Hwang, Csaba Juhász, Eishi Asano, Ming Dong, Jeong-Won Jeong
2025 J jnl
Conditional diffusion model with spatial attention and latent embedding for medical image segmentation.
CoRR
Behzad Hejrati, Soumyanil Banerjee, Carri Glide-Hurst, Ming Dong
2025 J jnl
Deep Learning-Based Tract Classification of Preoperative DWI Tractography Advances the Prediction of Short-Term Postoperative Language Improvement in Children With Drug-Resistant Epilepsy.
IEEE Trans. Biomed. Eng.
Min-Hee Lee, Soumyanil Banerjee, Hiroshi Uda, Alanna Carlson, Ming Dong, Robert Rothermel, Csaba Juhász, Eishi Asano, Jeong-Won Jeong
2025 A* conf
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators.
CVPR
Bohan Xiao, Peiyong Wang, Qisheng He, Ming Dong
2025 J jnl
Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators.
CoRR
Bohan Xiao, Peiyong Wang, Qisheng He, Ming Dong
2025 J jnl
Deterministic Medical Image Translation via High-fidelity Brownian Bridges.
CoRR
Qisheng He, Nicholas Summerfield, Peiyong Wang, Carri Glide-Hurst, Ming Dong
2025 J jnl
Infrared-Visible Image Fusion Using Dual-Branch Auto-Encoder With Invertible High-Frequency Encoding.
IEEE Trans. Circuits Syst. Video Technol.
Honglin Liu, Qirong Mao, Ming Dong, Yongzhao Zhan
2025 J jnl
Label correlation preserving visual-semantic joint embedding for multi-label zero-shot learning.
Multim. Tools Appl.
Zhongchen Ma, Runze Ma, Guangchen Wang, Qirong Mao, Ming Dong
2025 J jnl
Modality-AGnostic Image Cascade (MAGIC) for Multi-Modality Cardiac Substructure Segmentation.
CoRR
Nicholas Summerfield, Qisheng He, Alex Kuo, Ahmed I. Ghanem, Simeng Zhu, Chase Ruff, Joshua Pan, Anudeep Kumar, Prashant Nagpal, Jiwei Zhao, Ming Dong, Carri K. Glide-Hurst
2025 J jnl
Regularized Schrödinger Bridge: Alleviating Distortion and Exposure Bias in Solving Inverse Problems.
CoRR
Qing Yao, Lijian Gao, Qirong Mao, Ming Dong
2025 J jnl
Volumetric Medical Image Segmentation Through Dual Self-Distillation in U-Shaped Networks.
IEEE Trans. Biomed. Eng.
Soumyanil Banerjee, Nicholas Summerfield, Ming Dong, Carri Glide-Hurst
2024 A conf
Cascaded Network with Hierarchical Self-Distillation for Sparse Point Cloud Classification.
ICME
Kaiyue Zhou, Ming Dong, Peiyuan Zhi, Shengjin Wang
2024 — conf
Conditional Diffusion Model with Spatial Attention and Latent Embedding for Medical Image Segmentation.
MICCAI (9)
Behzad Hejrati, Soumyanil Banerjee, Carri Glide-Hurst, Ming Dong
2024 — conf
Dual Self-Distillation of U-Shaped Networks for 3D Medical Image Segmentation.
ISBI
Soumyanil Banerjee, Ming Dong, Carri Glide-Hurst
2024 J jnl
Exploring Prototype-Anchor Contrast for Semantic Segmentation.
IEEE Trans. Circuits Syst. Video Technol.
Qinghua Ren, Shijian Lu, Qirong Mao, Ming Dong
2024 — conf
Localization of Epileptogenicity Using Incomplete MRI Sequence Data in Children with Seizure Onset Zone Involving Temporal Lobe.
ISBI
Soumyanil Banerjee, Qisheng He, Min-Hee Lee, Ming Dong, Eishi Asano, Jeong-Won Jeong
2024 — conf
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-Modality Self-Distillation.
ISBI
Qisheng He, Nicholas Summerfield, Ming Dong, Carri Glide-Hurst
2024 J jnl
On Local Temporal Embedding for Semi-Supervised Sound Event Detection.
IEEE ACM Trans. Audio Speech Lang. Process.
Lijian Gao, Qirong Mao, Ming Dong
2024 A* conf
Score-Based Image-to-Image Brownian Bridge.
ACM Multimedia
Peiyong Wang, Bohan Xiao, Qisheng He, Carri Glide-Hurst, Ming Dong
2023 J jnl
Automated Identification of Toxic Code Reviews Using ToxiCR.
ACM Trans. Softw. Eng. Methodol.
Jaydeb Sarker, Asif Kamal Turzo, Ming Dong, Amiangshu Bosu
2023 J jnl
Dual self-distillation of U-shaped networks for 3D medical image segmentation.
CoRR
Soumyanil Banerjee, Ming Dong, Carri Glide-Hurst
2023 J jnl
Infrastructure-level Support for GPU-Enabled Deep Learning in DATAVIEW.
Future Gener. Comput. Syst.
Junwen Liu, Ziyun Xiao, Shiyong Lu, Dunren Che, Ming Dong, Changxin Bai
2023 A conf
Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection.
INTERSPEECH
Lijian Gao, Qirong Mao, Ming Dong
2023 B conf
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach.
IEEE Big Data
Qisheng He, Weisong Shi, Ming Dong
2023 — conf
MAGNET: A Modality-Agnostic Network for 3d Medical Image Segmentation.
ISBI
Qisheng He, Ming Dong, Nicholas Summerfield, Carri Glide-Hurst
2023 J jnl
Modality-Agnostic Learning for Medical Image Segmentation Using Multi-modality Self-distillation.
CoRR
Qisheng He, Nicholas Summerfield, Ming Dong, Carri Glide-Hurst
2023 A* conf
TE-KWS: Text-Informed Speech Enhancement for Noise-Robust Keyword Spotting.
ACM Multimedia
Dong Liu, Qirong Mao, Lijian Gao, Qinghua Ren, Zhenghan Chen, Ming Dong
2023 B conf
Transferring Lottery Tickets in Computer Vision Models: a Dynamic Pruning Approach.
IEEE Big Data
Qisheng He, Ming Dong
2022 A conf
"Zero-Shot" Point Cloud Upsampling.
ICME
Kaiyue Zhou, Ming Dong, Suzan Arslanturk
2022 A* conf
Adaptive Hierarchical Pooling for Weakly-supervised Sound Event Detection.
ACM Multimedia
Lijian Gao, Ling Zhou, Qirong Mao, Ming Dong
2022 — conf
AgileGCN: Accelerating Deep GCN with Residual Connections using Structured Pruning.
MIPR
Qisheng He, Soumyanil Banerjee, Loren Schwiebert, Ming Dong
2022 J jnl
Automated Identification of Toxic Code Reviews: How Far Can We Go?
CoRR
Jaydeb Sarker, Asif Kamal Turzo, Ming Dong, Amiangshu Bosu
2022 — conf
CL-GAN: Contrastive Learning-Based Generative Adversarial Network for Modality Transfer with Limited Paired Data.
ECCV Workshops (3)
Hajar Emami, Ming Dong, Carri Glide-Hurst
2022 J jnl
Spatial-Temporal Synchronous Graph Transformer network (STSGT) for COVID-19 forecasting.
CoRR
Soumyanil Banerjee, Ming Dong, Weisong Shi
2021 J jnl
"Zero Shot" Point Cloud Upsampling.
CoRR
Kaiyue Zhou, Ming Dong, Suzan Arslanturk
2021 — conf
Cross-domain Person Re-Identification with Identity-preserving Style Transfer.
MIPR
Shixing Chen, Caojin Zhang, Ming Dong, Chengcui Zhang
2021 J jnl
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
Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Csaba Juhász, Eishi Asano, Jeong-Won Jeong
2021 J jnl
Learning Pruned Structure and Weights Simultaneously from Scratch: an Attention based Approach.
CoRR
Qisheng He, Ming Dong, Loren Schwiebert, Weisong Shi
2021 Misc conf
Octave Deep Compression: In-Parallel Pruning-Quantization on Different Frequencies.
IRI
Qisheng He, Ming Dong, Loren Schwiebert
2021 A* conf
Reproducibility Companion Paper: On Learning Disentangled Representation for Acoustic Event Detection.
ACM Multimedia
Lijian Gao, Qirong Mao, Jingjing Chen, Ming Dong, Ratna Babu Chinnam, Lucile Sassatelli, Miguel Fabián Romero Rondón, Ujjwal Sharma
2021 — conf
SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation.
MICCAI (6)
Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, Carri K. Glide-Hurst
2021 J jnl
SA-GAN: Structure-Aware Generative Adversarial Network for Shape-Preserving Synthetic CT Generation.
CoRR
Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, Carri Glide-Hurst
2021 J jnl
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation.
IEEE Trans. Multim.
Hajar Emami, Majid Moradi Aliabadi, Ming Dong, Ratna Babu Chinnam
2020 J jnl
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Modality Transfer.
CoRR
Hajar Emami, Ming Dong, Carri K. Glide-Hurst
2020 Misc conf
Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation.
IRI
Hajar Emami, Ming Dong, Carri K. Glide-Hurst
2020 — conf
Face Aging with Conditional Generative Adversarial Network Guided by Ranking-CNN.
MIPR
Mengjiao Sheng, Zhongchen Ma, Hongjie Jia, Qirong Mao, Ming Dong
2020 J jnl
Novel Deep Learning Network Analysis of Electrical Stimulation Mapping-Driven Diffusion MRI Tractography to Improve Preoperative Evaluation of Pediatric Epilepsy.
IEEE Trans. Biomed. Eng.
Min-Hee Lee, Nolan O'Hara, Masaki Sonoda, Naoto Kuroda, Csaba Juhász, Eishi Asano, Ming Dong, Jeong-Won Jeong
2020 J jnl
Objective Class-based Micro-Expression Recognition through Simultaneous Action Unit Detection and Feature Aggregation.
CoRR
Ling Zhou, Qirong Mao, Ming Dong
2020 — conf
Prediction of Language Impairments in Children Using Deep Relational Reasoning with DWI Data.
ISBI
Soumyanil Banerjee, Ming Dong, Min-Hee Lee, Nolan O'Hara, Eishi Asano, Jeong-Won Jeong
2019 J jnl
Mood-aware visual question answering.
Neurocomputing
Nelson Ruwa, Qirong Mao, Liangjun Wang, Jianping Gou, Ming Dong
2019 J jnl
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
Haotian Xu, Ming Dong, Min-Hee Lee, Noel O'Hara, Eishi Asano, Jeong-Won Jeong
2019 A* conf
On Learning Disentangled Representation for Acoustic Event Detection.
ACM Multimedia
Lijian Gao, Qirong Mao, Ming Dong, Yu Jing, Ratna Babu Chinnam
2019 J jnl
Person Reidentification by Deep Structured Prediction - A Fully Parameterized Approach.
IEEE Multim.
Xinpeng L. Liao, Chengcui Zhang, Ming Dong, Xin Chen
2019 — conf
Prioritization of Multi-Level Risk Factors for Obesity.
BIBM
Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu
2019 J jnl
SPA-GAN: Spatial Attention GAN for Image-to-Image Translation.
CoRR
Hajar Emami, Majid Moradi Aliabadi, Ming Dong, Ratna Babu Chinnam
2019 J jnl
Triple attention network for sentimental visual question answering.
Comput. Vis. Image Underst.
Nelson Ruwa, Qirong Mao, Heping Song, Hongjie Jia, Ming Dong
2018 — conf
Affective Visual Question Answering Network.
MIPR
Nelson Ruwa, Qirong Mao, Liangjun Wang, Ming Dong
2018 — conf
Automatic detection of eloquent axonal pathways in diffusion tractography using intracanial electrical stimulation mapping and convolutional neural networks.
ISBI
Haotian Xu, Ming Dong, Yasuo Nakai, Eishi Asano, Jeong-Won Jeong
2018 J jnl
Cascaded Multi-level Transformed Dirichlet Process for Multi-pose Facial Expression Recognition.
Comput. J.
Qirong Mao, Feifei Zhang, Liangjun Wang, Sidian Luo, Ming Dong
2018 J jnl
Clustering over-dispersed data with mixed feature types.
Stat. Anal. Data Min.
Lu Wang, Dongxiao Zhu, Ming Dong
2018 A* conf
Coupled End-to-End Transfer Learning With Generalized Fisher Information.
CVPR
Shixing Chen, Caojin Zhang, Ming Dong
2018 J jnl
Deep Age Estimation: From Classification to Ranking.
IEEE Trans. Multim.
Shixing Chen, Caojin Zhang, Ming Dong
2018 — conf
Deep Structured Prediction: A New Formulation for Person Re-Identification.
MIPR
Xinpeng L. Liao, Chengcui Zhang, Ming Dong, Xin Chen
2018 J jnl
Learning and Interpreting Features to Rank: A Case Study on Age Estimation.
Int. J. Multim. Data Eng. Manag.
Shixing Chen, Ming Dong, Dongxiao Zhu
2018 J jnl
Multinomial classification with class-conditional overlapping sparse feature groups.
Pattern Recognit. Lett.
Xiangrui Li, Dongxiao Zhu, Ming Dong
2018 — conf
Obesity risk factors ranking using multi-task learning.
BHI
Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong
2018 J jnl
Spatially Coherent Feature Learning for Pose-Invariant Facial Expression Recognition.
ACM Trans. Multim. Comput. Commun. Appl.
Feifei Zhang, Qirong Mao, Xiangjun Shen, Yongzhao Zhan, Ming Dong
2018 — conf
Understanding Human Aging Patterns from a Machine Perspective.
MIPR
Shixing Chen, Ming Dong, Jialiang Le, Saeed Barbat
2017 A* conf
Directionally Convolutional Networks for 3D Shape Segmentation.
ICCV
Haotian Xu, Ming Dong, Zichun Zhong
2017 J jnl
Hierarchical Bayesian Theme Models for Multipose Facial Expression Recognition.
IEEE Trans. Multim.
Qirong Mao, Qiyu Rao, Yongbin Yu, Ming Dong
2017 C conf
Modeling Over-Dispersion for Network Data Clustering.
ICMLA
Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li
2017 J jnl
Object tracking via Dirichlet process-based appearance models.
Neural Comput. Appl.
Raed Almomani, Ming Dong, Dongxiao Zhu
2017 — conf
SDT: A Tree Method for Detecting Patient Subgroups with Personalized Risk Factors.
CRI
Xiangrui Li, Dongxiao Zhu, Ming Dong, Milad Zafar Nezhad, Alexander T. Janke, Phillip Levy
2017 A* conf
Using Ranking-CNN for Age Estimation.
CVPR
Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao
2016 A conf
A Bayesian hierarchical appearance model for robust object tracking.
ICME
Raed Almomani, Ming Dong, Dongxiao Zhu
2016 J jnl
A study of the effectiveness of machine learning methods for classification of clinical interview fragments into a large number of categories.
J. Biomed. Informatics
Mehedi Hasan, Alexander Kotov, April Idalski Carcone, Ming Dong, Sylvie Naar, Kathryn Brogan Hartlieb
2016 A* conf
Multi-pose Facial Expression Recognition Using Transformed Dirichlet Process.
ACM Multimedia
Feifei Zhang, Qirong Mao, Ming Dong, Yongzhao Zhan
2016 — conf
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads.
ISBRA
Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong
2016 — conf
Text Classification with Topic-based Word Embedding and Convolutional Neural Networks.
BCB
Haotian Xu, Ming Dong, Dongxiao Zhu, Alexander Kotov, April Idalski Carcone, Sylvie Naar-King
2015 J jnl
Exemplar-based low-rank matrix decomposition for data clustering.
Data Min. Knowl. Discov.
Lijun Wang, Ming Dong
2015 Misc conf
Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text.
AMIA
Alexander Kotov, Mehedi Hasan, April Idalski Carcone, Ming Dong, Sylvie Naar-King, Kathryn Brogan Hartlieb
2015 A* conf
Multi-level Approximate Spectral Clustering.
ICDM
Lijun Wang, Ming Dong, Alexander Kotov
2014 — conf
A Bayesian Framework for Accurate Eye Center Localization.
ISVC (2)
Zhou Liu, Heng Yang, Ming Dong, Jing Hua
2014 C conf
Detection of Abnormal Human Behavior Using a Matrix Approximation-Based Approach.
ICMLA
Lijun Wang, Ming Dong
2014 C conf
Learning Good Features to Track.
ICMLA
Raed Almomani, Ming Dong, Zhou Liu
2014 J jnl
Learning Salient Features for Speech Emotion Recognition Using Convolutional Neural Networks.
IEEE Trans. Multim.
Qirong Mao, Ming Dong, Zhengwei Huang, Yongzhao Zhan
2014 A* conf
Speech Emotion Recognition Using CNN.
ACM Multimedia
Zhengwei Huang, Ming Dong, Qirong Mao, Yongzhao Zhan
2013 B conf
SegTrack: A novel tracking system with improved object segmentation.
ICIP
Raed Almomani, Ming Dong
2012 J jnl
Low-Rank Kernel Matrix Factorization for Large-Scale Evolutionary Clustering.
IEEE Trans. Knowl. Data Eng.
Lijun Wang, Manjeet Rege, Ming Dong, Yongsheng Ding
2012 B conf
Multi-instance rendering based on dynamic differential surface propagation.
ICIP
Chang Liu, Zhaoqiang Lai, Ming Dong, Jing Hua
2012 J jnl
Multi-level Low-rank Approximation-based Spectral Clustering for image segmentation.
Pattern Recognit. Lett.
Lijun Wang, Ming Dong
2012 B conf
Real-time detection of abnormal crowd behavior using a matrix approximation-based approach.
ICIP
Lijun Wang, Ming Dong
2011 B conf
On the clustering of large-scale data: A matrix-based approach.
IJCNN
Lijun Wang, Ming Dong
2010 J jnl
Non-Negative Matrix Factorization for Semisupervised Heterogeneous Data Coclustering.
IEEE Trans. Knowl. Data Eng.
Yanhua Chen, Lijun Wang, Ming Dong
2009 — conf
Distributed Faulty Sensor Detection in Sensor Networks.
ICANN (2)
Xuanwen Luo, Ming Dong
2009 J jnl
Exemplar-based Visualization of Large Document Corpus (InfoVis2009-1115).
IEEE Trans. Vis. Comput. Graph.
Yanhua Chen, Lijun Wang, Ming Dong, Jing Hua
2009 A* conf
Image co-clustering with multi-modality features and user feedbacks.
ACM Multimedia
Yanhua Chen, Ming Dong, Wanggen Wan
2009 J jnl
Intrinsic Geometric Scale Space by Shape Diffusion.
IEEE Trans. Vis. Comput. Graph.
Guangyu Zou, Jing Hua, Zhaoqiang Lai, Xianfeng Gu, Ming Dong
2009 — conf
Semi-supervised Document Clustering with Simultaneous Text Representation and Categorization.
ECML/PKDD (1)
Yanhua Chen, Lijun Wang, Ming Dong
2009 J jnl
Simultaneous Localized Feature Selection and Model Detection for Gaussian Mixtures.
IEEE Trans. Pattern Anal. Mach. Intell.
Yuanhong Li, Ming Dong, Jing Hua
2008 A conf
A matrix-based approach for semi-supervised document co-clustering.
CIKM
Yanhua Chen, Lijun Wang, Ming Dong
2008 J jnl
Bipartite isoperimetric graph partitioning for data co-clustering.
Data Min. Knowl. Discov.
Manjeet Rege, Ming Dong, Farshad Fotouhi
2008 B conf
Feature selection for clustering with constraints using Jensen-Shannon divergence.
ICPR
Yuanhong Li, Ming Dong, Yunqian Ma
2008 J jnl
Geodesic Distance-weighted Shape Vector Image Diffusion.
IEEE Trans. Vis. Comput. Graph.
Jing Hua, Zhaoqiang Lai, Ming Dong, Xianfeng Gu, Hong Qin
2008 A* conf
Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering.
WWW
Manjeet Rege, Ming Dong, Jing Hua
2008 B conf
Localized feature selection for Gaussian mixtures using variational learning.
ICPR
Yuanhong Li, Ming Dong, Yunqian Ma
2008 J jnl
Localized feature selection for clustering.
Pattern Recognit. Lett.
Yuanhong Li, Ming Dong, Jing Hua
2008 J jnl
Non-negative matrix factorization for semi-supervised data clustering.
Knowl. Inf. Syst.
Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua
2008 B conf
Salient region detection and feature extraction in 3D visual data.
ICIP
Ming Dong, Yanhua Chen
2008 J jnl
Surface matching with salient keypoints in geodesic scale space.
Comput. Animat. Virtual Worlds
Guangyu Zou, Jing Hua, Ming Dong, Hong Qin
2007 J jnl
3D reconstruction from 2D images with hierarchical continuous simplices.
Vis. Comput.
Yunhao Tan, Jing Hua, Ming Dong
2007 J jnl
A Gaussian Mixture Model to Detect Clusters Embedded in Feature Subspace.
Commun. Inf. Syst.
Ming Dong, Jing Hua, Yuanhong Li
2007 J jnl
Building a user-centered semantic hierarchy in image databases.
Multim. Syst.
Manjeet Rege, Ming Dong, Farshad Fotouhi
2007 A* conf
Clustering web images with multi-modal features.
ACM Multimedia
Manjeet Rege, Ming Dong, Jing Hua
2007 A* conf
Deriving semantics for image clustering from accumulated user feedbacks.
ACM Multimedia
Yanhua Chen, Manjeet Rege, Ming Dong, Farshad Fotouhi
2007 — conf
Feature Curve-Guided Volume Reconstruction from 2d Images.
ISBI
Yunhao Tan, Jing Hua, Ming Dong
2007 B conf
Gene Expression Clustering: a Novel Graph Partitioning Approach.
IJCNN
Yanhua Chen, Ming Dong, Manjeet Rege
2007 A* conf
Incorporating User Provided Constraints into Document Clustering.
ICDM
Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua
2007 Misc conf
Integrative Information Visualization of Multimodality Neuroimaging Data.
PG
Guangyu Zou, Jing Hua, Ming Dong
2007 A conf
Localized Feature Selection for Clustering and its Application in Image Grouping.
ICME
Yuanhong Li, Ming Dong, Jing Hua
2006 B conf
Co-Clustering Image Features and Semantic Concepts.
ICIP
Manjeet Rege, Ming Dong, Farshad Fotouhi
2006 A* conf
Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning.
ICDM
Manjeet Rege, Ming Dong, Farshad Fotouhi
2006 A conf
Finding a Semantic Structure Interactively in Image Databases.
ICME
Manjeet Rege, Ming Dong, Farshad Fotouhi
2006 B conf
Localized Support Vector Machines for Classification.
IJCNN
Ming Dong, Jing Wu
2006 J jnl
On Distributed Fault-Tolerant Detection in Wireless Sensor Networks.
IEEE Trans. Computers
Xuanwen Luo, Ming Dong, Yinlun Huang
2006 — conf
Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning.
CVPR (2)
Changbo Yang, Ming Dong, Jing Hua
2006 J jnl
S-IRAS: An Interactive Semantic Image Retrieval and Annotation System.
Int. J. Semantic Web Inf. Syst.
Changbo Yang, Ming Dong, Farshad Fotouhi
2005 J jnl
Classifiability-based omnivariate decision trees.
IEEE Trans. Neural Networks
Yuanhong Li, Ming Dong, Ravi Kothari
2005 A conf
I
ICME
Changbo Yang, Ming Dong, Farshad Fotouhi
2005 — conf
Image content annotation using Bayesian framework and complement components analysis.
ICIP (1)
Changbo Yang, Ming Dong, Farshad Fotouhi
2005 — conf
Optimal fault-tolerant event detection in wireless sensor networks.
EUSIPCO
Xuanwen Luo, Ming Dong, Yinlun Huang
2005 A* conf
Region based image annotation through multiple-instance learning.
ACM Multimedia
Changbo Yang, Ming Dong, Farshad Fotouhi
2005 A* conf
Semantic feedback for interactive image retrieval.
ACM Multimedia
Changbo Yang, Ming Dong, Farshad Fotouhi
2005 — conf
Using MPEG-7 to build a human brain image database for image-guided neurosurgery.
Image-Guided Procedures
Manjeet Rege, Ming Dong, Farshad Fotouhi, Mohammad-Reza Siadat, Lucia Zamorano
2005 A conf
XML path based relevance model for automatic image annotation.
ICME
Manjeet Rege, Ming Dong, Farshad Fotouhi
2004 J jnl
Discovering Document Semantics QBYS: A System for Querying the WWW by Semantics.
Multim. Tools Appl.
Michael Johnson, Farshad Fotouhi, Sorin Draghici, Ming Dong, Duo Xu
2004 J jnl
Language engineering for the Semantic Web: a digital library for endangered languages.
Inf. Res.
Shiyong Lu, Dapeng Liu, Farshad Fotouhi, Ming Dong, Robert G. Reynolds, Anthony Aristar, Martha Ratliff, Geoff Nathan, Joseph Tan, Ronald Powell
2004 — conf
Learning the Semantics in Image Retrieval - A Natural Language Processing Approach.
MDDE
Changbo Yang, Ming Dong, Farshad Fotouhi
2004 — conf
Learning the Semantics in Image Retrieval - A Natural Language Processing Approach.
CVPR Workshops
Changbo Yang, Ming Dong, Farshad Fotouhi
2003 B conf
Classifiability based omnivariate decision trees.
IJCNN
Yuanhong Li, Ming Dong
2003 B conf
Evolution based approaches to the preservation of endangered natural languages.
IEEE Congress on Evolutionary Computation
Jeffrey M. Stefan, Robert G. Reynolds, F. Fatouhi, Anthony Aristar, Shiyong Lu, Ming Dong
2003 J jnl
Feature subset selection using a new definition of classifiability.
Pattern Recognit. Lett.
Ming Dong, Ravi Kothari
2002 J jnl
The Semantic Web: opportunities and challenges for next-generation Web applications.
Inf. Res.
Shiyong Lu, Ming Dong, Farshad Fotouhi
2001 J jnl
Look-ahead based fuzzy decision tree induction.
IEEE Trans. Fuzzy Syst.
Ming Dong, Ravi Kothari
2001 — conf
Texture Based Look-Ahead for Decision-Tree Induction.
ICAPR
Ming Dong, Ravi Kothari
1999 B conf
Neighborhood induced stochastic resonance.
IJCNN
Ravi Kothari, Ming Dong, Dinesh K. Bhatia