Hi! I am Chaoran Cheng, a third-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.
- Equivariant Neural Operator Learning with Graphon ConvolutionIn Advances in Neural Information Processing Systems 37, NeurIPS 2023 (Spotlight) Oct 2023
- Orientation-Aware Graph Neural Networks for Protein Structure Representation LearningArXiv Oct 2022
- Equivariant Point Cloud Analysis via Learning Orientations for Message PassingIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Jun 2022
|Sep 21, 2023||I am honored to be the Program Chair of the New Frontiers in Graph Learning Workshop at NeurIPS 2023!|
|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): |