Hi! I am Chaoran Cheng, a CS PhD student in 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 the 3D geometry with the graph topology to build 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.
- Learning Equivariant Neural Operator on Probabilistic Point Clouds with Infinite Graph Convolutionsumbitted to CVPR 2023 under peer review, 2022
- Orientation-Aware Graph Neural Networks for Protein Structure Representation Learningsumbitted to ICLR 2023 under peer review, 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
|Nov 16, 2022|| Happy Birthday to ♥️♠️Mononobe Alice♦️♣️! Check out this wonderful cover of 回る空うさぎ (Spinning Sky Rabbit): |