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
  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