Lirong Wu

papers

1,030

total citations

papers (25)

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration

NEURIPS 2023arXiv

citations

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding

ICLR 2024arXiv

citations

Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias

NEURIPS 2022arXiv

citations

Hyperspherical Consistency Regularization

CVPR 2022arXiv

citations

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching

ICML 2024arXiv

citations

Harnessing Hard Mixed Samples with Decoupled Regularizer

NEURIPS 2023arXiv

citations

FoldToken: Learning Protein Language via Vector Quantization and Beyond

AAAI 2025arXiv

citations

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

ICML 2024arXiv

citations

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

AAAI 2024arXiv

citations

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

ICLR 2025arXiv

citations

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

AAAI 2024arXiv

citations

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

ICML 2024arXiv

citations

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction

ICLR 2025arXiv

citations

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing

CVPR 2025

citations

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

AAAI 2025arXiv

citations

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

AAAI 2025arXiv

citations

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

ICML 2024arXiv

citations

Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks

NEURIPS 2022

citations

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

AAAI 2024

citations

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation

ICML 2024

citations

ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics

NEURIPS 2023

citations

Lirong Wu

papers (25)

SimVP: Simpler Yet Better Video Prediction

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding

Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias

Hyperspherical Consistency Regularization

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching

Harnessing Hard Mixed Samples with Decoupled Regularizer

FoldToken: Learning Protein Language via Vector Quantization and Beyond

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation

ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics

papers (25)

SimVP: Simpler Yet Better Video Prediction

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

AutoMix: Unveiling the Power of Mixup for Stronger Classifiers

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration

MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding

Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias

Hyperspherical Consistency Regularization

PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching

Harnessing Hard Mixed Samples with Decoupled Regularizer

FoldToken: Learning Protein Language via Vector Quantization and Beyond

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks

3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction

GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation

ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics