Shitong Luo 罗世通

B.S. Peking University (2021)

I obtained B.S. in Data Science from Peking University in 2021. After that, I joined a biotech start-up where I pursue solutions to challenges regarding the health and well-being of mankind. Specifically, my job is to explore and develop new techniques and technologies to approach real biological and medical problems. You may click here to see my full list of publications and know more about my research interest.

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Selected Publications (view all )
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing

Shitong Luo* Jiahan Li* Jiaqi Guan* Yufeng Su Chaoran Cheng Jian Peng Jianzhu Ma (* indicates equal contribution)

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 Oral

Learning virtual orientations for each point. Projecting neighbor points to local orientations before aggregating information from them.

[Paper] [Code]

A 3D Molecule Generative Model for Structure-Based Drug Design

Shitong Luo Jiaqi Guan Jianzhu Ma Jian Peng

Conference on Neural Information Processing Systems (NeurIPS) 2021

Generating 3D molecules for protein binding sites. Learning the distribution of atom occurence in the 3D space.

[Paper] [Code] [Slides] [Proceedings]

Score-Based Point Cloud Denoising

Shitong Luo Wei Hu

International Conference on Computer Vision (ICCV) 2021

Estimating the score of noisy point distributions for effective and robust point cloud denoising and beyond.

[Paper] [Code]

Learning Gradient Fields for Molecular Conformation Generation

Chence Shi* Shitong Luo* Minkai Xu Jian Tang (* indicates equal contribution)

International Conference on Machine Learning (ICML) 2021 Oral / Long Talk

End-to-end conformation sampling; Equivariant score matching.

[Paper] [Code] [Event]

Diffusion Probabilistic Models for 3D Point Cloud Generation

Shitong Luo Wei Hu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Oral Best Paper Candidate

Inspired by the diffusion process in non-equilibrium thermodynamics; Markov chain; Competitive performance in generation and auto-encoding.

[Paper] [Code]

All publications