| 2024 | AISTATS | Continual Domain Adversarial Adaptation via Double-Head Discriminators. | Yan Shen, Zhanghexuan Ji, Chunwei Ma, Mingchen Gao |
| 2024 | ECCV | Training A Secure Model Against Data-Free Model Extraction. | Zhenyi Wang, Li Shen, Junfeng Guo, Tiehang Duan, Siyu Luan, Tongliang Liu, Mingchen Gao |
| 2023 | CVPR | MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation. | Zhenyi Wang, Li Shen, Donglin Zhan, Qiuling Suo, Yanjun Zhu, Tiehang Duan, Mingchen Gao |
| 2023 | ICCV | Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. | Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin |
| 2023 | ICLR | Progressive Voronoi Diagram Subdivision Enables Accurate Data-free Class-Incremental Learning. | Chunwei Ma, Zhanghexuan Ji, Ziyun Huang, Yan Shen, Mingchen Gao, Jinhui Xu |
| 2022 | BMVC | Dual Space Multiple Instance Representative Learning for Medical Image Classification. | Xiaoxian Zhang, Sheng Huang, Yi Zhang, Xiaohong Zhang, Mingchen Gao, Chen Liu |
| 2022 | CVPR | Learning to Learn and Remember Super Long Multi-Domain Task Sequence. | Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao |
| 2022 | ECCV | Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Donglin Zhan, Tiehang Duan, Mingchen Gao |
| 2022 | ICLR | Few-shot Learning via Dirichlet Tessellation Ensemble. | Chunwei Ma, Ziyun Huang, Mingchen Gao, Jinhui Xu |
| 2022 | ICML | Improving Task-free Continual Learning by Distributionally Robust Memory Evolution. | Zhenyi Wang, Li Shen, Le Fang, Qiuling Suo, Tiehang Duan, Mingchen Gao |
| 2022 | MICCAI | Few-Shot Learning Geometric Ensemble for Multi-label Classification of Chest X-Rays. | Dana Moukheiber, Saurabh Mahindre, Lama Moukheiber, Mira Moukheiber, Song Wang, Chunwei Ma, George Shih, Yifan Peng, Mingchen Gao |
| 2022 | UAI | Meta-learning without data via Wasserstein distributionally-robust model fusion. | Zhenyi Wang, Xiaoyang Wang, Li Shen, Qiuling Suo, Kaiqiang Song, Dong Yu, Yan Shen, Mingchen Gao |
| 2021 | ICCV | Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. | Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao |
| 2021 | MICCAI | Soft Attention Improves Skin Cancer Classification Performance. | Soumyya Kanti Datta, Mohammad Abuzar Shaikh, Sargur N. Srihari, Mingchen Gao |
| 2021 | MICCAI | Improving Joint Learning of Chest X-Ray and Radiology Report by Word Region Alignment. | Zhanghexuan Ji, Mohammad Abuzar Shaikh, Dana Moukheiber, Sargur N. Srihari, Yifan Peng, Mingchen Gao |
| 2021 | MICCAI | Few-Shot Transfer Learning for Hereditary Retinal Diseases Recognition. | Siwei Mai, Qian Li, Qi Zhao, Mingchen Gao |
| 2021 | UAI | Improving uncertainty calibration of deep neural networks via truth discovery and geometric optimization. | Chunwei Ma, Ziyun Huang, Jiayi Xian, Mingchen Gao, Jinhui Xu |
| 2020 | MICCAI | An End-to-End Learnable Flow Regularized Model for Brain Tumor Segmentation. | Yan Shen, Zhanghexuan Ji, Mingchen Gao |
| 2019 | MICCAI | Scribble-Based Hierarchical Weakly Supervised Learning for Brain Tumor Segmentation. | Zhanghexuan Ji, Yan Shen, Chunwei Ma, Mingchen Gao |
| 2019 | MICCAI | Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data. | Chunwei Ma, Zhanghexuan Ji, Mingchen Gao |
| 2019 | MICCAI | Intramodality Domain Adaptation Using Self Ensembling and Adversarial Training. | Zahil Shanis, Samuel Gerber, Mingchen Gao, Andinet Enquobahrie |
| 2019 | Mobiquitous | Lighter U-net for segmenting white matter hyperintensities in MR images. | Jun Zhuang, Mingchen Gao, Mohammad Al Hasan |
| 2018 | MICCAI | Dynamic Routing on Deep Neural Network for Thoracic Disease Classification and Sensitive Area Localization. | Yan Shen, Mingchen Gao |
| 2018 | MICCAI | Holistic Brain Tumor Screening and Classification Based on DenseNet and Recurrent Neural Network. | Yufan Zhou, Zheshuo Li, Hong Zhu, Changyou Chen, Mingchen Gao, Kai Xu, Jinhui Xu |
| 2016 | MICCAI | Characterization of Lung Nodule Malignancy Using Hybrid Shape and Appearance Features. | Mario Buty, Ziyue Xu, Mingchen Gao, Ulas Bagci, Aaron Wu, Daniel J. Mollura |
| 2016 | MICCAI | Multi-label Deep Regression and Unordered Pooling for Holistic Interstitial Lung Disease Pattern Detection. | Mingchen Gao, Ziyue Xu, Le Lu, Adam P. Harrison, Ronald M. Summers, Daniel J. Mollura |
| 2012 | MICCAI | 3D Anatomical Shape Atlas Construction Using Mesh Quality Preserved Deformable Models. | Xinyi Cui, Shaoting Zhang, Yiqiang Zhan, Mingchen Gao, Junzhou Huang, Dimitris N. Metaxas |
| 2012 | MICCAI | Simplified Labeling Process for Medical Image Segmentation. | Mingchen Gao, Junzhou Huang, Xiaolei Huang, Shaoting Zhang, Dimitris N. Metaxas |
| 2012 | SENSYS | Towards robust device-free passive localization through automatic camera-assisted recalibration. | Chenren Xu, Mingchen Gao, Bernhard Firner, Yanyong Zhang, Richard E. Howard, Jun Li |
| 2011 | CVPR | Abnormal detection using interaction energy potentials. | Xinyi Cui, Qingshan Liu, Mingchen Gao, Dimitris N. Metaxas |
| 2011 | MICCAI | Using High Resolution Cardiac CT Data to Model and Visualize Patient-Specific Interactions between Trabeculae and Blood Flow. | Scott Kulp, Mingchen Gao, Shaoting Zhang, Zhen Qian, Szilard Voros, Dimitris N. Metaxas, Leon Axel |