| 2025 | COLING | Retrieval-Augmented Generation for Large Language Model based Few-shot Chinese Spell Checking. | Ming Dong, Zhiwei Cheng, Changyin Luo, Tingting He |
| 2025 | COLING | On the Human-level Performance of Visual Question Answering. | Chenlian Zhou, Guanyi Chen, Xin Bai, Ming Dong |
| 2025 | CVPR | Deterministic Image-to-Image Translation via Denoising Brownian Bridge Models with Dual Approximators. | Bohan Xiao, Peiyong Wang, Qisheng He, Ming Dong |
| 2025 | EMNLP | DSCD: Large Language Model Detoxification with Self-Constrained Decoding. | Ming Dong, Jinkui Zhang, Bolong Zheng, Xinhui Tu, Po Hu, Tingting He |
| 2025 | EMNLP | PICD-Instruct: A Generative Instruction Learning Framework for Few-Shot Multi-Intent Spoken Language Understanding. | Wenbin Hua, Rui Fan, Tingting He, Ming Dong |
| 2024 | ACL | Rich Semantic Knowledge Enhanced Large Language Models for Few-shot Chinese Spell Checking. | Ming Dong, Yujing Chen, Miao Zhang, Hao Sun, Tingting He |
| 2024 | ISPA | OSN Rumor Control Model Based on Community Immunization. | Ming Dong, Zhiqiang Sun, Zhenhua Tan, Bin Zhang |
| 2024 | MICCAI | Conditional Diffusion Model with Spatial Attention and Latent Embedding for Medical Image Segmentation. | Behzad Hejrati, Soumyanil Banerjee, Carri Glide-Hurst, Ming Dong |
| 2023 | Interspeech | Joint-Former: Jointly Regularized and Locally Down-sampled Conformer for Semi-supervised Sound Event Detection. | Lijian Gao, Qirong Mao, Ming Dong |
| 2022 | ECCV | CL-GAN: Contrastive Learning-Based Generative Adversarial Network for Modality Transfer with Limited Paired Data. | Hajar Emami, Ming Dong, Carri Glide-Hurst |
| 2022 | EMNLP | DRLK: Dynamic Hierarchical Reasoning with Language Model and Knowledge Graph for Question Answering. | Miao Zhang, Rufeng Dai, Ming Dong, Tingting He |
| 2021 | IRI | Octave Deep Compression: In-Parallel Pruning-Quantization on Different Frequencies. | Qisheng He, Ming Dong, Loren Schwiebert |
| 2021 | MICCAI | SA-GAN: Structure-Aware GAN for Organ-Preserving Synthetic CT Generation. | Hajar Emami, Ming Dong, Siamak P. Nejad-Davarani, Carri K. Glide-Hurst |
| 2020 | IRI | Attention-Guided Generative Adversarial Network to Address Atypical Anatomy in Synthetic CT Generation. | Hajar Emami, Ming Dong, Carri K. Glide-Hurst |
| 2019 | CIKM | Multiple Rumor Source Detection with Graph Convolutional Networks. | Ming Dong, Bolong Zheng, Nguyen Quoc Viet Hung, Han Su, GuoHui Li |
| 2018 | CVPR | Coupled End-to-End Transfer Learning With Generalized Fisher Information. | Shixing Chen, Caojin Zhang, Ming Dong |
| 2017 | CHASE | Non-contact Home Health Monitoring Based on Low-Cost High-Performance Accelerometers. | Xiaoce Feng, Ming Dong, Philip Levy, Yong Xu |
| 2017 | CVPR | Using Ranking-CNN for Age Estimation. | Shixing Chen, Caojin Zhang, Ming Dong, Jialiang Le, Mike Rao |
| 2017 | ICCV | Directionally Convolutional Networks for 3D Shape Segmentation. | Haotian Xu, Ming Dong, Zichun Zhong |
| 2017 | ICMLA | Modeling Over-Dispersion for Network Data Clustering. | Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li |
| 2015 | AMIA | Interpretable Probabilistic Latent Variable Models for Automatic Annotation of Clinical Text. | Alexander Kotov, Mehedi Hasan, April Idalski Carcone, Ming Dong, Sylvie Naar-King, Kathryn Brogan Hartlieb |
| 2015 | ICDM | Multi-level Approximate Spectral Clustering. | Lijun Wang, Ming Dong, Alexander Kotov |
| 2014 | ICIS | How to Design Your Project in the Online Crowdfunding Market? Evidence from Kickstarter. | Shengsheng Xiao, Xue Tan, Ming Dong, Jiayin Qi |
| 2014 | ICMLA | Learning Good Features to Track. | Raed Almomani, Ming Dong, Zhou Liu |
| 2014 | ICMLA | Detection of Abnormal Human Behavior Using a Matrix Approximation-Based Approach. | Lijun Wang, Ming Dong |
| 2014 | ISVC | A Bayesian Framework for Accurate Eye Center Localization. | Zhou Liu, Heng Yang, Ming Dong, Jing Hua |
| 2013 | ICIP | SegTrack: A novel tracking system with improved object segmentation. | Raed Almomani, Ming Dong |
| 2012 | ICIP | Multi-instance rendering based on dynamic differential surface propagation. | Chang Liu, Zhaoqiang Lai, Ming Dong, Jing Hua |
| 2012 | ICIP | Real-time detection of abnormal crowd behavior using a matrix approximation-based approach. | Lijun Wang, Ming Dong |
| 2011 | IGARSS | Heavy metal pollution and the ecological risk assessment of urban street dust in Kunming, China. | Zhengtao Shi, Wenxiang Zhang, Yong Liu, Feng Wu, Ming Dong, Huai Su, Qingzhong Ming |
| 2011 | IGARSS | Elemental geochemistry and paleoenvironment evolution of Shell Bar section at Qarhan in the Qaidam Basin, China. | Wenxiang Zhang, Zhengtao Shi, Hucai Zhang, Qingzhong Ming, Fengqin Chang, Guoliang Lei, Guangjie Chen, Ming Dong |
| 2011 | IJCNN | On the clustering of large-scale data: A matrix-based approach. | Lijun Wang, Ming Dong |
| 2011 | IGARSS | Simulation on the relationship between land use/land cover and the surface runoff in Songhuaba water source region. | Ming Dong, Zhengtao Shi, Huai Su, Yong Liu, Wenxiang Zhang |
| 2009 | ICANN | Distributed Faulty Sensor Detection in Sensor Networks. | Xuanwen Luo, Ming Dong |
| 2008 | CIKM | A matrix-based approach for semi-supervised document co-clustering. | Yanhua Chen, Lijun Wang, Ming Dong |
| 2008 | ICIP | Salient region detection and feature extraction in 3D visual data. | Ming Dong, Yanhua Chen |
| 2008 | ICPR | Localized feature selection for Gaussian mixtures using variational learning. | Yuanhong Li, Ming Dong, Yunqian Ma |
| 2008 | ICPR | Feature selection for clustering with constraints using Jensen-Shannon divergence. | Yuanhong Li, Ming Dong, Yunqian Ma |
| 2008 | WWW | Graph theoretical framework for simultaneously integrating visual and textual features for efficient web image clustering. | Manjeet Rege, Ming Dong, Jing Hua |
| 2007 | ICDM | Incorporating User Provided Constraints into Document Clustering. | Yanhua Chen, Manjeet Rege, Ming Dong, Jing Hua |
| 2007 | IJCNN | Gene Expression Clustering: a Novel Graph Partitioning Approach. | Yanhua Chen, Ming Dong, Manjeet Rege |
| 2007 | PG | Integrative Information Visualization of Multimodality Neuroimaging Data. | Guangyu Zou, Jing Hua, Ming Dong |
| 2006 | CVPR | Region-based Image Annotation using Asymmetrical Support Vector Machine-based Multiple-Instance Learning. | Changbo Yang, Ming Dong, Jing Hua |
| 2006 | ICDM | Co-clustering Documents and Words Using Bipartite Isoperimetric Graph Partitioning. | Manjeet Rege, Ming Dong, Farshad Fotouhi |
| 2006 | ICIP | Co-Clustering Image Features and Semantic Concepts. | Manjeet Rege, Ming Dong, Farshad Fotouhi |
| 2006 | IJCNN | Localized Support Vector Machines for Classification. | Ming Dong, Jing Wu |
| 2005 | ICASSP | ARGDYP: an Adaptive Region Growing and DYnamic Programming Algorithm for Stenosis Detection in MRI. | Jing Jiang, Ming Dong, E. Mark Haacke |
| 2005 | ICIP | Image content annotation using Bayesian framework and complement components analysis. | Changbo Yang, Ming Dong, Farshad Fotouhi |
| 2004 | CVPR | Learning the Semantics in Image Retrieval - A Natural Language Processing Approach. | Changbo Yang, Ming Dong, Farshad Fotouhi |
| 2004 | CVPR | Learning the Semantics in Image Retrieval - A Natural Language Processing Approach. | Changbo Yang, Ming Dong, Farshad Fotouhi |
| 2003 | CEC | Evolution based approaches to the preservation of endangered natural languages. | Jeffrey M. Stefan, Robert G. Reynolds, F. Fatouhi, Anthony Aristar, Shiyong Lu, Ming Dong |
| 2003 | IJCNN | Analyzing dividend events with neural network rule extraction. | Ming Dong, Xu-Shen Zhou |
| 2003 | IJCNN | Classifiability based omnivariate decision trees. | Yuanhong Li, Ming Dong |
| 1999 | IJCNN | Neighborhood induced stochastic resonance. | Ravi Kothari, Ming Dong, Dinesh K. Bhatia |