Shitong Luo
16 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
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Conferences
ICML (6)
NIPS (4)
ICLR (3)
CVPR (2)
ICCV (1)
Top co-authors
Keywords
graph neural network
(3)
3d vision
(2)
molecular conformation
(2)
variational inference
(2)
diffusion model
(2)
generative model
(2)
protein structure
(2)
molecular generation
(2)
diffusion probabilistic model
(2)
variational autoencoder
(1)
point cloud analysis
(1)
score matching
(1)
markov chain
(1)
dynamic graph
(1)
3d shape generation
(1)
drug design
(1)
message passing
(1)
3d generation
(1)
protein mutation prediction
(1)
molecular graph
(1)
Papers
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames
ICML 2024
Projecting Molecules into Synthesizable Chemical Spaces
ICML 2024
Enhancing Protein Mutation Effect Prediction through a Retrieval-Augmented Framework
NIPS 2024
Full-Atom Peptide Design based on Multi-modal Flow Matching
ICML 2024
Rotamer Density Estimator is an Unsupervised Learner of the Effect of Mutations on Protein-Protein Interaction
ICLR 2023
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing
CVPR 2022
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
NIPS 2022
Pocket2Mol: Efficient Molecular Sampling Based on 3D Protein Pockets
ICML 2022
Learning Gradient Fields for Molecular Conformation Generation
ICML 2021
An End-to-End Framework for Molecular Conformation Generation via Bilevel Programming
ICML 2021
Diffusion Probabilistic Models for 3D Point Cloud Generation
CVPR 2021
Score-Based Point Cloud Denoising
ICCV 2021
Predicting Molecular Conformation via Dynamic Graph Score Matching
NIPS 2021
Learning Neural Generative Dynamics for Molecular Conformation Generation
ICLR 2021
A 3D Generative Model for Structure-Based Drug Design
NIPS 2021