2021 (5 Papers)

(Anonymous Submission)

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

Submitted to ICML 2021

Highlight: got very positive ratings (Accept*3 and WeakAccept*1)

(Anonymous Submission)

Minkai Xu Wujie Wang Shitong Luo Chence Shi Yoshua Bengio Rafael Gomez-Bombarelli Jian Tang

Submitted to ICML 2021

Due to the anonymity policy of ICML, we cannot provide more information.

Shitong Luo Wei Hu

Submitted to ICCV 2021

Learning gradient fields for effective and robust point cloud denoising and beyond.

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; Using EBM for fine-tuning; Generating inter-atomic distances to preserve roto-translational invariance; High diversity and fidelity.

2020 (1 Paper)

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.