publications

2024

1. ViT-DGCN

   Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network

   Yanni Dong, Zhenzhen Yang, Quanwei Liu, and 2 more authors

   International Journal of Applied Earth Observation and Geoinformation, May 2024

   Bib

   @article{dong2024fusion,
     title = {Fusion of GaoFen-5 and Sentinel-2B data for lithological mapping using vision transformer dynamic graph convolutional network},
     author = {Dong, Yanni and Yang, Zhenzhen and Liu, Quanwei and Zuo, Renguang and Wang, Ziye},
     journal = {International Journal of Applied Earth Observation and Geoinformation},
     volume = {129},
     pages = {103780},
     year = {2024},
     month = may,
     publisher = {Elsevier},
   }

2. knowCL

   A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification

   Quanwei Liu, Yanni Dong, Tao Huang, and 2 more authors

   arXiv preprint arXiv:2404.01673, Apr 2024

   Bib PDF

   @article{liu2024universal,
     title = {A Universal Knowledge Embedded Contrastive Learning Framework for Hyperspectral Image Classification},
     author = {Liu, Quanwei and Dong, Yanni and Huang, Tao and Zhang, Lefei and Du, Bo},
     journal = {arXiv preprint arXiv:2404.01673},
     year = {2024},
     month = apr,
     url = {https://arxiv.org/abs/2404.01673},
   }

2023

1. Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning

   Hao Li, Quanwei Liu, Jianan Liu, and 4 more authors

   arXiv preprint arXiv:2310.15767, Oct 2023

   Bib HTML

   @article{li2023unpaired,
     title = {Unpaired MRI Super Resolution with Self-Supervised Contrastive Learning},
     author = {Li, Hao and Liu, Quanwei and Liu, Jianan and Liu, Xiling and Dong, Yanni and Huang, Tao and Lv, Zhihan},
     journal = {arXiv preprint arXiv:2310.15767},
     year = {2023},
     month = oct,
   }

2022

1. WFCG

   

   Weighted feature fusion of convolutional neural network and graph attention network for hyperspectral image classification

   Yanni Dong, Quanwei Liu, Bo Du, and 1 more author

   IEEE Transactions on Image Processing, Jan 2022

   Abs PDF

   This paper proposes a novel weighted feature fusion of convolutional neural network (CNN) and graph attention network (GAT) for hyperspectral image classification.

2. FDGC

   A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification

   Quanwei Liu, Yanni Dong, Yuxiang Zhang, and 1 more author

   IEEE Transactions on Geoscience and Remote Sensing, May 2022

   Bib PDF

   @article{liu2022fast,
     title = {A fast dynamic graph convolutional network and CNN parallel network for hyperspectral image classification},
     author = {Liu, Quanwei and Dong, Yanni and Zhang, Yuxiang and Luo, Hui},
     journal = {IEEE Transactions on Geoscience and Remote Sensing},
     volume = {60},
     pages = {1--15},
     year = {2022},
     month = may,
     publisher = {IEEE},
   }