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Shitong Luo
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Cited by
Year
Diffusion Probabilistic Models for 3D Point Cloud Generation
S Luo, W Hu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
5582021
High-resolution de novo structure prediction from primary sequence
R Wu, F Ding, R Wang, R Shen, X Zhang, S Luo, C Su, Z Wu, Q Xie, ...
BioRxiv, 2022.07. 21.500999, 2022
3172022
Learning Gradient Fields for Molecular Conformation Generation
C Shi*, S Luo*, M Xu, J Tang
International Conference on Machine Learning (ICML), 2021
1912021
A 3D Generative Model for Structure-Based Drug Design
S Luo, J Guan, J Ma, J Peng
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
1732021
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
S Luo, Y Su, X Peng, S Wang, J Peng, J Ma
Neural Information Processing Systems (NeurIPS), 2022
1552022
Score-Based Point Cloud Denoising
S Luo, W Hu
International Conference on Computer Vision (ICCV), 2021
1442021
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
X Peng, S Luo, J Guan, Q Xie, J Peng, J Ma
International Conference on Machine Learning (ICML), 2022
1362022
Learning neural generative dynamics for molecular conformation generation
M Xu, S Luo, Y Bengio, J Peng, J Tang
International Conference on Learning Representations, 2021
1172021
Differentiable manifold reconstruction for point cloud denoising
S Luo, W Hu
Proceedings of the 28th ACM international conference on multimedia, 1330-1338, 2020
1072020
Deep learning guided optimization of human antibody against SARS-CoV-2 variants with broad neutralization
S Shan*, S Luo*, Z Yang*, J Hong*, Y Su, F Ding, L Fu, C Li, P Chen, J Ma, ...
Proceedings of the National Academy of Sciences (PNAS) 119 (11), e2122954119, 2022
932022
Predicting Molecular Conformation via Dynamic Graph Score Matching
S Luo, C Shi, M Xu, J Tang
Advances in Neural Information Processing Systems (NeurIPS) 34, 2021
892021
An end-to-end framework for molecular conformation generation via bilevel programming
M Xu, W Wang, S Luo, C Shi, Y Bengio, R Gomez-Bombarelli, J Tang
International conference on machine learning, 11537-11547, 2021
812021
Deep Point Set Resampling via Gradient Fields
H Chen, B Du, S Luo, W Hu
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
292022
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
S Luo, J Li, J Guan, Y Su, C Cheng, J Peng, J Ma
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022
282022
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
S Luo, Y Su, Z Wu, C Su, J Peng, J Ma
International Conference on Learning Representations (ICLR), 2023
13*2023
Mutational fitness landscape of human influenza H3N2 neuraminidase
R Lei, AH Garcia, TJC Tan, QW Teo, Y Wang, X Zhang, S Luo, SK Nair, ...
Cell reports 42 (1), 2023
122023
EBM-Fold: fully-differentiable protein folding powered by energy-based models
J Wu, S Luo, T Shen, H Lan, S Wang, J Huang
arXiv preprint arXiv:2105.04771, 2021
102021
Projecting Molecules into Synthesizable Chemical Spaces
S Luo, W Gao, Z Wu, J Peng, CW Coley, J Ma
International Conference on Machine Learning (ICML), 2024
2024
Full-Atom Peptide Design based on Multi-modal Flow Matching
J Li, C Cheng, Z Wu, R Guo, S Luo, Z Ren, J Peng, J Ma
International Conference on Machine Learning (ICML), 2024
2024
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
R Wu, R Guo, R Wang, S Luo, Y Xu, J Li, J Ma, Y Luo, J Peng
International Conference on Machine Learning (ICML), 2024
2024
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