· 论文成果
Peng Cao*, Qingshan Hou, Ruoxian Song, Haonan Wang, Osmar R. Zaiane, Collaborative learning of weakly-supervised domain adaptation for diabetic retinopathy grading on retinal images, Computers in Biology and Medicine, 2022.
Guangqi Wen, Peng Cao*, Huiwen Bao, Wenju Yang, Tong Zheng, Osmar Zaiane, MVS-GCN: A prior brain structure learning-guided multi-view graph convolution network for Autism Spectrum Disorder diagnosis, Computers in Biology and Medicine, 2022.
Wenhui Tan, Peng Cao, Zhiyong Jin, Futao Luo, Guangqi Wen, Weiping Li. DGE-GSIM: A multi-task dual graph embedding learning for graph similarity computation. International Conference on Machine Learning and Soft Computing. 2022.
Haonan Wang, Peng Cao*, Jiaqi Wang, Osmar R Zaiane. UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer[C]. AAAI Conference on Artificial Intelligence 2022..
Wei Liang, Kai Zhang, Peng Cao*, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane, Rethinking modeling Alzheimer's disease progression from a multi-task learning perspective with deep recurrent neural network, Computers in Biology and Medicine, 2021..
Peng Cao*, Guangqi Wen, Lanting Li, Xiaoli Liu, Osmar R. Zaiane, Jinzhu Yang, Temporal Graph Representation Learning for Autism spectrum disorder Brain Networks, IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2021), December 9-12, 2021.
Lanting Li, Peng Cao*, Hao Jiang, Guangqi Wen, Mingyi Xu, Xiaoli Liu, Jinzhu Yang, Osmar Zaiane, TE-HI-GCN: An Ensemble of Transfer Hierarchical Graph Convolutional Networks for Disorder Diagnosis, Neuroinformatics, Accepted August 14, 2021..
Shanshan Tang, Peng Cao*, Min Huang, Xiaoli Liu, Osmar R. Zaiane, Dual feature correlation guided multi-task learning for Alzheimer's Disease prediction, Computers in Biology and Medicine, In Press..
Jinzhu Yang, Bo Wu, Lanting Li, Peng Cao*, Osmar Zaiane, MSDS-UNet: A multi-scale deeply supervised 3D U-Net for Automatic Segmentation of Lung automatic segmentation of lung tumor in CT, Computerized Medical Imaging and Graphics, V92, September, 2021.
Hao Jiang, Peng Cao*, Mingyi Xu, Jinzhu Yang, Osmar Zaiane, Hi-GCN: A hierarchical graph convolution network for graph embedding learning of brain network and brain disorders prediction, Computers in Biology and Medicine, Volume 127, December 2020. (SCI-Q2区, IF:1.836).
