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ORCIDShitong Luo
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2020 – today
- 2024
[c17]Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma:
Full-Atom Peptide Design based on Multi-modal Flow Matching. ICML 2024- [c16]Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma:
Projecting Molecules into Synthesizable Chemical Spaces. ICML 2024 - [c15]Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng:
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. ICML 2024 - [c14]Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma:
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework. NeurIPS 2024 - [i17]Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma:
Full-Atom Peptide Design based on Multi-modal Flow Matching. CoRR abs/2406.00735 (2024) - [i16]Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma:
Projecting Molecules into Synthesizable Chemical Spaces. CoRR abs/2406.04628 (2024) - [i15]Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng:
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames. CoRR abs/2407.01649 (2024) - [i14]Wenhao Gao, Shitong Luo, Connor W. Coley:
Generative Artificial Intelligence for Navigating Synthesizable Chemical Space. CoRR abs/2410.03494 (2024) - [i13]Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma:
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension. CoRR abs/2411.18463 (2024) - 2023
- [j1]Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu
:
Deep Point Set Resampling via Gradient Fields. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 2913-2930 (2023) - [c13]Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma:
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction. ICLR 2023 - 2022
- [c12]Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma:
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CVPR 2022: 18910-18919 - [c11]Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma:
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. ICML 2022: 17644-17655 - [c10]Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma:
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures. NeurIPS 2022 - [i12]Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma:
Directed Weight Neural Networks for Protein Structure Representation Learning. CoRR abs/2201.13299 (2022) - [i11]Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng:
A 3D Molecule Generative Model for Structure-Based Drug Design. CoRR abs/2203.10446 (2022) - [i10]Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma:
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. CoRR abs/2203.14486 (2022) - [i9]Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma:
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets. CoRR abs/2205.07249 (2022) - 2021
- [c9]Shitong Luo, Wei Hu:
Diffusion Probabilistic Models for 3D Point Cloud Generation. CVPR 2021: 2837-2845 - [c8]Shitong Luo, Wei Hu:
Score-Based Point Cloud Denoising. ICCV 2021: 4563-4572 - [c7]Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu:
Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds. ICCVW 2021: 893-903 - [c6]Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang:
Learning Neural Generative Dynamics for Molecular Conformation Generation. ICLR 2021 - [c5]Chence Shi, Shitong Luo, Minkai Xu, Jian Tang:
Learning Gradient Fields for Molecular Conformation Generation. ICML 2021: 9558-9568 - [c4]Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang:
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. ICML 2021: 11537-11547 - [c3]Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng:
A 3D Generative Model for Structure-Based Drug Design. NeurIPS 2021: 6229-6239 - [c2]Shitong Luo, Chence Shi, Minkai Xu, Jian Tang:
Predicting Molecular Conformation via Dynamic Graph Score Matching. NeurIPS 2021: 19784-19795 - [i8]Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang:
Learning Neural Generative Dynamics for Molecular Conformation Generation. CoRR abs/2102.10240 (2021) - [i7]Shitong Luo, Wei Hu:
Diffusion Probabilistic Models for 3D Point Cloud Generation. CoRR abs/2103.01458 (2021) - [i6]Chence Shi, Shitong Luo, Minkai Xu, Jian Tang:
Learning Gradient Fields for Molecular Conformation Generation. CoRR abs/2105.03902 (2021) - [i5]Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang:
EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models. CoRR abs/2105.04771 (2021) - [i4]Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gómez-Bombarelli, Jian Tang:
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming. CoRR abs/2105.07246 (2021) - [i3]Shitong Luo, Wei Hu:
Score-Based Point Cloud Denoising. CoRR abs/2107.10981 (2021) - [i2]Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu:
Deep Point Set Resampling via Gradient Fields. CoRR abs/2111.02045 (2021) - 2020
- [c1]Shitong Luo, Wei Hu:
Differentiable Manifold Reconstruction for Point Cloud Denoising. ACM Multimedia 2020: 1330-1338 - [i1]Shitong Luo, Wei Hu:
Differentiable Manifold Reconstruction for Point Cloud Denoising. CoRR abs/2007.13551 (2020)
Coauthor Index
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