Shitong Luo 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: luost26 (AT) gmail.com
GitHub
Selected Publications (view all)
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 Long Talk
End-to-end conformation sampling; Equivariant score matching.
Diffusion Probabilistic Models for 3D Point Cloud Generation
Shitong Luo Wei Hu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2021 Oral
Inspired by the diffusion process in non-equilibrium thermodynamics; Markov chain; Competitive performance in generation and auto-encoding.
Learning Neural Generative Dynamics for Molecular Conformation Generation
Minkai Xu* Shitong Luo* Yoshua Bengio Jian Peng Jian Tang (* indicates equal contribution)
International Conference on Learning Representations (ICLR) 2021
Flow-based model for molecular conformation generation; Generating inter-atomic distances to preserve roto-translational invariance; High diversity and fidelity.
Differentiable Manifold Reconstruction for Point Cloud Denoising
Shitong Luo Wei Hu
ACM International Conference on Multimedia (ACM MM) 2020 Oral
Neural network architecture for point cloud denoising; Achieving state-of-the-art-performance; Surface-fitting based; Downsample-upsample scheme; Robust against high noise.