Luo, Shitong

17 publications

ICLR 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

NeurIPS 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

ICML 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

ICML 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

ICML 2024 Projecting Molecules into Synthesizable Chemical Spaces Shitong Luo, Wenhao Gao, Zuofan Wu, Jian Peng, Connor W. Coley, Jianzhu Ma

ICLR 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

NeurIPS 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

CVPR 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

ICML 2022 Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets Xingang Peng, Shitong Luo, Jiaqi Guan, Qi Xie, Jian Peng, Jianzhu Ma

NeurIPS 2021 A 3D Generative Model for Structure-Based Drug Design Shitong Luo, Jiaqi Guan, Jianzhu Ma, Jian Peng

ICML 2021 An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming Minkai Xu, Wujie Wang, Shitong Luo, Chence Shi, Yoshua Bengio, Rafael Gomez-Bombarelli, Jian Tang

CVPR 2021 Diffusion Probabilistic Models for 3D Point Cloud Generation Shitong Luo, Wei Hu

ICML 2021 Learning Gradient Fields for Molecular Conformation Generation Chence Shi, Shitong Luo, Minkai Xu, Jian Tang

ICLR 2021 Learning Neural Generative Dynamics for Molecular Conformation Generation Minkai Xu, Shitong Luo, Yoshua Bengio, Jian Peng, Jian Tang

NeurIPS 2021 Predicting Molecular Conformation via Dynamic Graph Score Matching Shitong Luo, Chence Shi, Minkai Xu, Jian Tang

ICCV 2021 Score-Based Point Cloud Denoising Shitong Luo, Wei Hu

ICCVW 2021 Unsupervised Learning of Geometric Sampling Invariant Representations for 3D Point Clouds Haolan Chen, Shitong Luo, Xiang Gao, Wei Hu