Publications

2022

1. 

   Learning Equivariant Neural Operator on Probabilistic Point Clouds with Infinite Graph Convolution

   Chaoran Cheng, Jianzhu Ma, and Jian Peng

   sumbitted to CVPR 2023 under peer review, 2022
2. 

   Orientation-Aware Graph Neural Networks for Protein Structure Representation Learning

   Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas Guibas, Jianzhu Ma, and Jian Peng

   sumbitted to ICLR 2023 under peer review, 2022
3. 

   Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

   Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, and Jianzhu Ma

   In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2022

   Bib HTML PDF Code

   @inproceedings{Luo2022CVPR,
     author = {Luo, Shitong and Li, Jiahan and Guan, Jiaqi and Su, Yufeng and Cheng, Chaoran and Peng, Jian and Ma, Jianzhu},
     title = {Equivariant Point Cloud Analysis via Learning Orientations for Message Passing},
     booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
     month = jun,
     year = {2022},
     pages = {18932-18941},
   }

4. 

   DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation

   Yifan Wang, Yiping Song, Shuai Li, Chaoran Cheng, Wei Ju, Ming Zhang, and Sheng Wang

   Proceedings of the AAAI Conference on Artificial Intelligence Jun 2022

   Bib HTML PDF Code

   @article{IJCAI2022disen,
     title = {DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation},
     volume = {36},
     url = {https://ojs.aaai.org/index.php/AAAI/article/view/21397},
     doi = {10.1609/aaai.v36i10.21397},
     number = {10},
     journal = {Proceedings of the AAAI Conference on Artificial Intelligence},
     author = {Wang, Yifan and Song, Yiping and Li, Shuai and Cheng, Chaoran and Ju, Wei and Zhang, Ming and Wang, Sheng},
     year = {2022},
     month = jun,
     pages = {11449-11458},
   }