Shitong Luo 罗世通

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)

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.

All publications