Nanqing Dong : Publications

Click here to download all publications in a single bibtex file

@article{dong2022federated,
  title = "Federated Partially Supervised Learning with Limited Decentralized Medical Images",
  author = "Nanqing Dong‚ Michaek Kampffmeyer‚ Irina Voiculescu and Eric Xing",
  year = "2022",
  journal = "IEEE Transactions on Medical Imaging",
  month = "December",
  publisher = "IEEE",
  url = "https://ieeexplore.ieee.org/document/9994748",
}

@inproceedings{icip2022,
  title = "Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation via Dual Pseudo-Label Supervision",
  author = "Ziyang Wang and Nanqing Dong and Irina Voiculescu",
  year = "2022",
  month = "October",
  organization = "IEEE International Conference on Image Processing",
  url = "https://ora.ox.ac.uk/objects/uuid:ec5d1512-97d2-40ae-aff9-b48bfaa1bbef/download_file?file_format=application%2Fpdf&safe_filename=Wang_et_al_2022_computationally_efficient_vision.pdf&type_of_work=Conference+item",
}

@article{dong2022negational,
  title = "Negational Symmetry of Quantum Neural Networks for Binary Pattern Classification",
  author = "Nanqing Dong and Michaek Kampffmeyer and Irina Voiculescu and Eric Xing",
  year = "2022",
  journal = "Pattern Recognition",
  pages = "108750",
  volume = "129",
  doi = "https://doi.org/10.1016/j.patcog.2022.108750",
}

@article{dong2022towards,
  title = "Towards Robust Partially Supervised Multi-Structure Medical Image Segmentation on Small-Scale Data",
  author = "Nanqing Dong and Michael Kampffmeyer and Xiaodan Liang and Min Xu and Irina Voiculescu and Eric Xing",
  year = "2022",
  journal = "Applied Soft Computing",
  keywords = "Deep learning; Partially supervised learning; Data scarcity; Medical image segmentation",
  publisher = "Elsevier",
  doi = "https://doi.org/10.1016/j.asoc.2021.108074",
}

@inproceedings{dong2022revisiting,
  title = "Revisiting Vicinal Risk Minimization for Partially Supervised Multi-Label Classification Under Data Scarcity",
  author = "Nanqing Dong and Jiayi Wang and Irina Voiculescu",
  year = "2022",
  booktitle = "Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)",
  journal = "IEEE/CVF Conference on Computer Vision and Pattern Recognition",
  pages = "4212-4220",
  url = "https://ora.ox.ac.uk/objects/uuid:776a63a3-3527-4694-a343-9c17eb4d1622/download_file?file_format=application%2Fpdf&safe_filename=Dong_et_al_2022_Revisiting_vicinal_risk.pdf&type_of_work=Conference+item",
  doi = "https://doi.org/10.1109/CVPRW56347.2022.00466",
}

@inproceedings{dong2022learning,
  title = "Learning Underrepresented Classes from Decentralized Partially Labeled Medical Images",
  author = "Nanqing Dong and Michael Kampffmeyer and Irina Voiculescu",
  year = "2022",
  booktitle = "International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI)",
  url = "https://ora.ox.ac.uk/objects/uuid:0b716548-8ede-4161-856b-d7a83d4b0438/download_file?file_format=application%2Fpdf&safe_filename=Dong_et_al_2022_learning_underrepresented_classes.pdf&type_of_work=Conference+item",
}

@article{dong2021federated,
  title = "Federated Contrastive Learning for Decentralized Unlabeled Medical Images",
  author = "Nanqing Dong and Irina Voiculescu",
  year = "2021",
  journal = "International Conference on Medical Image Computing and Computer-Assisted Intervention",
  keywords = "Federated learning; Contrastive representation learning",
  pages = "379-387",
  publisher = "Springer",
  url = "https://ora.ox.ac.uk/objects/uuid:16cdf7ad-e966-4a90-a4d0-57dd52fe79e9",
  doi = "https://doi.org/10.1007/978-3-030-87199-4_36",
}