| 2026 | AAAI | Optimizing LoRA Allocation of MoE with the Alignment of Topic Correlation. | Hengyuan Xu, Wenjun Ke, Yao He, Jiajun Liu, Dong Nie, Peng Wang, Ziyu Shang, Zijie Xu |
| 2025 | CIKM | BrainX: A Universal Brain Decoding Framework with Feature Disentanglement and Neuro-Geometric Representation Learning. | Zheng Cui, Dong Nie, Pengcheng Xue, Xia Wu, Daoqiang Zhang, Xuyun Wen |
| 2025 | CVPR | Generalized Zero-Shot Classification via Semantics-Free Inter-Class Feature Generation. | Libiao Chen, Dong Nie, Junjun Pan, Jing Yan, Zhenyu Tang |
| 2025 | MICCAI | μ | Siyou Li, Pengyao Qin, Huanan Wu, Dong Nie, Arun James Thirunavukarasu, Juntao Yu, Le Zhang |
| 2025 | MICCAI | Iterative Foundation-Dedicated Learning: Optimized Key Frames, Prompts and Memories for Semi-supervised Segmentation. | Ziman Yin, Dong Nie, Shuo Li, Junjun Pan, Zhenyu Tang |
| 2024 | ACL | Boosting Textural NER with Synthetic Image and Instructive Alignment. | Jiahao Wang, Wenjun Ke, Peng Wang, Hang Zhang, Dong Nie, Jiajun Liu, Guozheng Li, Ziyu Shang |
| 2024 | MICCAI | WSSADN: A Weakly Supervised Spherical Age-Disentanglement Network for Detecting Developmental Disorders with Structural MRI. | Pengcheng Xue, Dong Nie, Meijiao Zhu, Ming Yang, Han Zhang, Daoqiang Zhang, Xuyun Wen |
| 2024 | MICCAI | TARDRL: Task-Aware Reconstruction for Dynamic Representation Learning of fMRI. | Yunxi Zhao, Dong Nie, Geng Chen, Xia Wu, Daoqiang Zhang, Xuyun Wen |
| 2023 | ICCV | The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. | Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap |
| 2023 | MICCAI | Multi-Target Domain Adaptation with Prompt Learning for Medical Image Segmentation. | Yili Lin, Dong Nie, Yuting Liu, Ming Yang, Daoqiang Zhang, Xuyun Wen |
| 2022 | CVPR | Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images. | Jingqi Huang, Yue Ning, Dong Nie, Linan Guan, Xiping Jia |
| 2022 | CVPR | Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation. | Dong Nie, Rui Lan, Ling Wang, Xiaofeng Ren |
| 2022 | ECCV | Doubly-Fused ViT: Fuse Information from Vision Transformer Doubly with Local Representation. | Li Gao, Dong Nie, Bo Li, Xiaofeng Ren |
| 2021 | EMNLP | Automated Generation of Accurate & Fluent Medical X-ray Reports. | Hoang T. N. Nguyen, Dong Nie, Taivanbat Badamdorj, Yujie Liu, Yingying Zhu, Jason Truong, Li Cheng |
| 2020 | AAAI | Hybrid Graph Neural Networks for Crowd Counting. | Ao Luo, Fan Yang, Xin Li, Dong Nie, Zhicheng Jiao, Shangchen Zhou, Hong Cheng |
| 2020 | ACCV | Bidirectional Pyramid Networks for Semantic Segmentation. | Dong Nie, Jia Xue, Xiaofeng Ren |
| 2019 | AAAI | Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation. | Dong Nie, Li Wang, Lei Xiang, Sihang Zhou, Ehsan Adeli, Dinggang Shen |
| 2019 | MICCAI | RCA-U-Net: Residual Channel Attention U-Net for Fast Tissue Quantification in Magnetic Resonance Fingerprinting. | Zhenghan Fang, Yong Chen, Dong Nie, Weili Lin, Dinggang Shen |
| 2019 | MICCAI | Harmonization and Targeted Feature Dropout for Generalized Segmentation: Application to Multi-site Traumatic Brain Injury Images. | Yilin Liu, Gregory R. Kirk, Brendon M. Nacewicz, Martin A. Styner, Mingren Shen, Dong Nie, Nagesh Adluru, Benjamin Yeske, Peter A. Ferrazzano, Andrew L. Alexander |
| 2018 | MICCAI | Automatic Accurate Infant Cerebellar Tissue Segmentation with Densely Connected Convolutional Network. | Jiawei Chen, Han Zhang, Dong Nie, Li Wang, Gang Li, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | ASDNet: Attention Based Semi-supervised Deep Networks for Medical Image Segmentation. | Dong Nie, Yaozong Gao, Li Wang, Dinggang Shen |
| 2018 | MICCAI | Volume-Based Analysis of 6-Month-Old Infant Brain MRI for Autism Biomarker Identification and Early Diagnosis. | Li Wang, Gang Li, Feng Shi, Xiaohuan Cao, Chunfeng Lian, Dong Nie, Mingxia Liu, Han Zhang, Guannan Li, Zhengwang Wu, Weili Lin, Dinggang Shen |
| 2018 | MICCAI | Craniomaxillofacial Bony Structures Segmentation from MRI with Deep-Supervision Adversarial Learning. | Miaoyun Zhao, Li Wang, Jiawei Chen, Dong Nie, Yulai Cong, Sahar Ahmad, Angela Ho, Peng Yuan, Steve H. Fung, Hannah H. Deng, James J. Xia, Dinggang Shen |
| 2018 | MICCAI | Fine-Grained Segmentation Using Hierarchical Dilated Neural Networks. | Sihang Zhou, Dong Nie, Ehsan Adeli, Yaozong Gao, Li Wang, Jianping Yin, Dinggang Shen |
| 2017 | MICCAI | Deformable Image Registration Based on Similarity-Steered CNN Regression. | Xiaohuan Cao, Jianhua Yang, Jun Zhang, Dong Nie, Minjeong Kim, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Brain Image Labeling Using Multi-atlas Guided 3D Fully Convolutional Networks. | Longwei Fang, Lichi Zhang, Dong Nie, Xiaohuan Cao, Khosro Bahrami, Huiguang He, Dinggang Shen |
| 2017 | MICCAI | Medical Image Synthesis with Context-Aware Generative Adversarial Networks. | Dong Nie, Roger Trullo, Jun Lian, Caroline Petitjean, Su Ruan, Qian Wang, Dinggang Shen |
| 2017 | MICCAI | Segmentation of Craniomaxillofacial Bony Structures from MRI with a 3D Deep-Learning Based Cascade Framework. | Dong Nie, Li Wang, Roger Trullo, Jianfu Li, Peng Yuan, James J. Xia, Dinggang Shen |
| 2017 | MICCAI | Joint Segmentation of Multiple Thoracic Organs in CT Images with Two Collaborative Deep Architectures. | Roger Trullo, Caroline Petitjean, Dong Nie, Dinggang Shen, Su Ruan |
| 2016 | MICCAI | Estimating CT Image from MRI Data Using 3D Fully Convolutional Networks. | Dong Nie, Xiaohuan Cao, Yaozong Gao, Li Wang, Dinggang Shen |
| 2016 | MICCAI | 3D Deep Learning for Multi-modal Imaging-Guided Survival Time Prediction of Brain Tumor Patients. | Dong Nie, Han Zhang, Ehsan Adeli, Luyan Liu, Dinggang Shen |
| 2013 | ICMLA | Movie Recommendation Using Unrated Data. | Dong Nie, Lingzi Hong, Tingshao Zhu |