Lirong Wu
37 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π£ Hot Topic Early Bird
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Keyword Pioneer
π
Cross-Pollinator
(14)
πΊοΈ
Taxonomy Completionist
(51)
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Dynamic Duo
(35)
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Triple Crown
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Grand Slam
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Deep Specialist
(11)
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Keyword Champion
(2)
ποΈ
Keyword Collector
(134)
β‘
Prolific Year
(13)
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Century Club
(37)
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Conference Pioneer
Conferences
NIPS (9)
AAAI (8)
ICML (7)
ICLR (6)
CVPR (4)
WACV (2)
ECCV (1)
Top co-authors
Keywords
graph neural network
(11)
protein structure
(6)
antibody design
(3)
knowledge distillation
(3)
semi-supervised learning
(2)
sequence modeling
(2)
inverse folding
(2)
benchmark evaluation
(2)
drug design
(2)
recurrent neural network
(2)
protein design
(2)
domain adaptation
(2)
protein structure prediction
(2)
multi-layer perceptron
(2)
diffusion model
(2)
model compression
(2)
contrastive learning
(2)
protein sequence
(2)
protein representation
(2)
image compression
(1)
Papers
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
ICLR 2025
FoldToken: Learning Protein Language via Vector Quantization and Beyond
AAAI 2025
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
AAAI 2025
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
AAAI 2025
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
CVPR 2025
A Simple yet Effective $\Delta\Delta G$ Predictor is An Unsupervised Antibody Optimizer and Explainer
ICLR 2025
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
ICLR 2025
EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
ICLR 2025
Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
NIPS 2024
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
NIPS 2024
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
ICML 2024
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
ICML 2024
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
ICML 2024
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
ICML 2024
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
ICML 2024
UniIF: Unified Molecule Inverse Folding
NIPS 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
AAAI 2024
Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
AAAI 2024
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
AAAI 2024
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
ICLR 2024
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
ICLR 2024
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration
NIPS 2023
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework
AAAI 2023
Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
ICML 2023
Harnessing Hard Mixed Samples with Decoupled Regularizer
NIPS 2023
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
NIPS 2023
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NIPS 2023
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
CVPR 2023
Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation
WACV 2022
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias
NIPS 2022
Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting
AAAI 2022
SimVP: Simpler Yet Better Video Prediction
CVPR 2022
Hyperspherical Consistency Regularization
CVPR 2022
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers
ECCV 2022
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning
ICML 2022
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks
NIPS 2022
A GAN-based Tunable Image Compression System
WACV 2020