Luo, Shitong 罗世通
Undergraduate
Peking University
Shitong Luo is a final year undergraduate student majoring in Data Science at Peking University. He is now a research intern at Wangxuan Institue of Computer Technology and 
Mila - Quebec AI Institute. He is interested in geometric data processing and geometric deep learning.
Email: luost AT pku.edu.cn
GitHub
Publications
Minkai Xu* Shitong Luo* Yoshua Bengio Jian Peng Jian Tang (* indicates equal contribution)
Under review 2020
Inspired by the recent progress in deep generative models, in this paper, we propose a novel probabilistic framework to generate valid and diverse conformations given a molecular graph.
Shitong Luo Wei Hu
Under review 2020
We view points in point clouds as particles in a thermodynamic system in contact with a heat bath, which diffuse from the original distribution to a noise distribution. Point cloud generation thus amounts to learning the reverse diffusion process that transforms the noise distribution to the distribution of a desired shape.
A Probabilistic Model for Molecular Geometry Generation and Optimization
Shitong Luo
Machine Learning for Molecules Workshop, NeurIPS 2020
We propose a probabilistic model for molecular conformation generation and geometry optimization. The model takes molecular graphs as input and learns the distributions w.r.t. inter-atomic distances.
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo Wei Hu
ACM International Conference on Multimedia (ACM MM) 2020 Oral
We propose a novel point cloud denoising neural network that is aware of the underlying manifold structure of noisy point clouds. Experiments show that our method significantly outperforms state-of-the-art denoising methods under both synthetic noise and real world noise.