| 2025 | WACV | Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation. | Meng Ye, Bingyu Xin, Leon Axel, Dimitris N. Metaxas |
| 2025 | WACV | A Video is Worth 10, 000 Words: Training and Benchmarking with Diverse Captions for Better Long Video Retrieval. | Matthew Gwilliam, Michael Cogswell, Meng Ye, Karan Sikka, Abhinav Shrivastava, Ajay Divakaran |
| 2024 | ECCV | Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction. | Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas |
| 2024 | MICCAI | Enhanced Deep Unrolled Models Applied to the CMRxRecon2024 Challenge. | Bingyu Xin, Meng Ye, Leon Axel, Dimitris N. Metaxas |
| 2024 | WACV | Unsupervised Exemplar-Based Image-to-Image Translation and Cascaded Vision Transformers for Tagged and Untagged Cardiac Cine MRI Registration. | Meng Ye, Mikael Kanski, Dong Yang, Leon Axel, Dimitris N. Metaxas |
| 2023 | EACL | Multilingual Content Moderation: A Case Study on Reddit. | Meng Ye, Karan Sikka, Katherine Atwell, Sabit Hassan, Ajay Divakaran, Malihe Alikhani |
| 2023 | ICCV | DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. | Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas |
| 2023 | ICCV | Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. | Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas |
| 2023 | ICNC | A Ultra-Low Power System Design Method of AI Edge Computation. | Meng Ye, Xudong Zhou, Jianwen Zhou, Xinxin Xin, Changling Wang, Fang Wang |
| 2023 | KDD | Predicting Information Pathways Across Online Communities. | Yiqiao Jin, Yeon-Chang Lee, Kartik Sharma, Meng Ye, Karan Sikka, Ajay Divakaran, Srijan Kumar |
| 2022 | CVPR | Hybrid Consistency Training with Prototype Adaptation for Few-Shot Learning. | Meng Ye, Xiao Lin, Giedrius Burachas, Ajay Divakaran, Yi Yao |
| 2022 | MICCAI | DeepRecon: Joint 2D Cardiac Segmentation and 3D Volume Reconstruction via a Structure-Specific Generative Method. | Qi Chang, Zhennan Yan, Mu Zhou, Di Liu, Khalid Sawalha, Meng Ye, Qilong Zhangli, Mikael Kanski, Subhi Al'Aref, Leon Axel, Dimitris N. Metaxas |
| 2021 | CVPR | DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. | Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas |
| 2020 | ECCV | Cardiac MR Image Sequence Segmentation with Temporal Motion Encoding. | Pengxiang Wu, Qiaoying Huang, Jingru Yi, Hui Qu, Meng Ye, Leon Axel, Dimitris N. Metaxas |
| 2020 | MICCAI | PC-U Net: Learning to Jointly Reconstruct and Segment the Cardiac Walls in 3D from CT Data. | Meng Ye, Qiaoying Huang, Dong Yang, Pengxiang Wu, Jingru Yi, Leon Axel, Dimitris N. Metaxas |
| 2019 | CVPR | Progressive Ensemble Networks for Zero-Shot Recognition. | Meng Ye, Yuhong Guo |
| 2019 | ICIP | Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection. | Meng Ye, Yuhong Guo |
| 2017 | BMVC | Labelless Scene Classification with Semantic Matching. | Meng Ye, Yuhong Guo |
| 2017 | CVPR | Zero-Shot Classification with Discriminative Semantic Representation Learning. | Meng Ye, Yuhong Guo |
| 2008 | NOMS | A resource management framework for multi-tier service delivery in autonomic virtualized environments. | Xiaoying Wang, Dong-Jun Lan, Xing Fang, Meng Ye, Ying Chen |