Publications

2023

  1. Equivariant Neural Operator Learning with Graphon Convolution
    Chaoran Cheng, and Jian Peng
    In Thirty-seventh Conference on Neural Information Processing Systems 2023

2022

  1. 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
    ArXiv 2022
  2. 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
  3. 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