Lirong Wu

A Simple yet Effective ΔΔ G Predictor is An Unsupervised Antibody Optimizer and Explainer ICLR 2025 CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph ICLR 2025 DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing CVPR 2025 dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen AAAI 2025 EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow ICLR 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond AAAI 2025 MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction ICLR 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective ICML 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation ICML 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NeurIPS 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ICLR 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching ICML 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction AAAI 2024 Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge ICML 2024 UniIF: Unified Molecule Inverse Folding NeurIPS 2024 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration NeurIPS 2023 Harnessing Hard Mixed Samples with Decoupled Regularizer NeurIPS 2023 OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning NeurIPS 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NeurIPS 2023 Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs ICML 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 AutoMix: Unveiling the Power of Mixup for Stronger Classifiers ECCV 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022 Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation WACV 2022 Hyperspherical Consistency Regularization CVPR 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NeurIPS 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 SimVP: Simpler Yet Better Video Prediction CVPR 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 A GAN-based Tunable Image Compression System WACV 2020