Shitong Luo

According to our database, Shitong Luo authored at least 25 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Orientation-Aware Networks for Protein Structure Representation Learning.

Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma

Proceedings of the Research in Computational Molecular Biology, 2025

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension.

Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension.

Jiahan Li, Tong Chen, Shitong Luo, Chaoran Cheng, Jiaqi Guan, Ruihan Guo, Sheng Wang, Ge Liu, Jian Peng, Jianzhu Ma

CoRR, 2024

Generative Artificial Intelligence for Navigating Synthesizable Chemical Space.

Wenhao Gao, Shitong Luo, Connor W. Coley

CoRR, 2024

Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework.

Ruihan Guo, Rui Wang, Ruidong Wu, Zhizhou Ren, Jiahan Li, Shitong Luo, Zuofan Wu, Qiang Liu, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames.

Ruidong Wu, Ruihan Guo, Rui Wang, Shitong Luo, Yue Xu, Jiahan Li, Jianzhu Ma, Qiang Liu, Yunan Luo, Jian Peng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Projecting Molecules into Synthesizable Chemical Spaces.

Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Full-Atom Peptide Design based on Multi-modal Flow Matching.

Jiahan Li, Chaoran Cheng, Zuofan Wu, Ruihan Guo, Shitong Luo, Zhizhou Ren, Jian Peng, Jianzhu Ma

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Deep Point Set Resampling via Gradient Fields.

Haolan Chen, Bi'an Du, Shitong Luo, Wei Hu

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction.

Shitong Luo, Yufeng Su, Zuofan Wu, Chenpeng Su, Jian Peng, Jianzhu Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

A 3D Molecule Generative Model for Structure-Based Drug Design.

Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

CoRR, 2022

Directed Weight Neural Networks for Protein Structure Representation Learning.

Jiahan Li, Shitong Luo, Congyue Deng, Chaoran Cheng, Jiaqi Guan, Leonidas J. Guibas, Jian Peng, Jianzhu Ma

CoRR, 2022

Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures.

Shitong Luo, Yufeng Su, Xingang Peng, Sheng Wang, Jian Peng, Jianzhu Ma

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets.

Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma

Proceedings of the International Conference on Machine Learning, 2022

Equivariant Point Cloud Analysis via Learning Orientations for Message Passing.

Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

EBM-Fold: Fully-Differentiable Protein Folding Powered by Energy-based Models.

Jiaxiang Wu, Shitong Luo, Tao Shen, Haidong Lan, Sheng Wang, Junzhou Huang

CoRR, 2021

Predicting Molecular Conformation via Dynamic Graph Score Matching.

Shitong Luo, Chence Shi, Minkai Xu, Jian Tang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

A 3D Generative Model for Structure-Based Drug Design.

Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming.

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

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Gradient Fields for Molecular Conformation Generation.

Chence Shi, Shitong Luo, Minkai Xu, Jian Tang

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Neural Generative Dynamics for Molecular Conformation Generation.

Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang

Proceedings of the 9th International Conference on Learning Representations, 2021

Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds.

Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Score-Based Point Cloud Denoising.

Shitong Luo, Wei Hu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Diffusion Probabilistic Models for 3D Point Cloud Generation.

Shitong Luo, Wei Hu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Differentiable Manifold Reconstruction for Point Cloud Denoising.

Shitong Luo, Wei Hu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020