Chaoran Cheng

Department of Computer Science, University of Illinois Urbana-Champaign


Hi! I am Chaoran Cheng, a second-year CS Ph.D. student at the University of Illinois Urbana-Champaign. I am advised by Prof. Jian Peng. My research interests mainly focus on deep geometric learning for 3D point sets. Specifically, I’d like to combine 3D geometry with graph topology to build a computer deep learning system on molecules, proteins, and related downstream tasks.

I am also working on a machine learning-based automatic charter for Cytoid, a community-driven rhythm game inspired by Rayark’s games Cytus and Cytus II. The community provides many fan-made charts that can be used to train a machine learning system. This project was purely out of personal interest. Cooperation is highly welcomed.

I obtained my Bachelor’s Degree in EECS, Peking University, before which I also spent my freshman year studying chemistry.

Selected Publications

  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


Dec 7, 2022
Check out this post on the Tensor Field Network!
Nov 30, 2022
Get a glimpse of Cézanne and the revolution of modern art.
Nov 16, 2022 Happy Birthday to ♥️♠️Mononobe Alice♦️♣️! Check out this wonderful cover of 回る空うさぎ (Spinning Sky Rabbit):