Lirong Wu (吴立荣) |
Selected:
Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Distillation |
Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning |
GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation |
A Teacher-Free Graph Knowledge Distillation Framework with Dual Self-Distillation |
MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding |
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks |
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction |
Learning to Augment Graph Structure for both Homophily and Heterophily Graphs |
Quantifying the Knowledge in GNNs for Reliable Distillation into MLP |
Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and
Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework |
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks |
GraphMixup: Improving Class-Imbalanced Classification by Self-supervised Context Prediction |
SimGRACE: A Simple Framework for Graph Contrastive Learning without Data Augmentation |
Self-supervised Learning on Graphs: Contrastive, Generative,or Predictive |
Homophily-Enhanced Self-Supervision for Graph Structure Learning: Insights and Directions |
Beyond Homophily: Relation-Based Frequency Adaptive Graph Neural Networks |
Deep Clustering and Visualization for End-to-End High-Dimensional Data Analysis |
Foreground-background Parallel Compression with Residual Encoding for Surveillance Video |
Journals:
Integration of pre-trained protein language models into geometric deep learning networks |
GNN Cleaner: Label Cleaner for Graph Structured Data |
Exploring Generative Neural Temporal Point Process |
Phenotype classification using proteome data in a data-independent acquisition tensor format |
Conferences:
Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge |
PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching |
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective |
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer |
Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction |
Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration |
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics |
Harnessing hard mixed samples with decoupled regularizer |
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning |
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning |
Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias |
Are Gradients on Graph Structure Reliable in Gray-box Attacks? |
AutoMix: Unveiling the Power of Mixup for Stronger Classifiers |
ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning |
SimVP: Simpler Yet Better Video Prediction |
Hyperspecral Consistency Regularization |
Conditional Local Convolution for Spatio-temporal Meteorological Forecasting |
Generalized Clustering and Multi-Manifold Learning with Geometric Structure Preservation |
Co-learning: Learning from Noisy Labels with Self-supervision |
Invertible Manifold Learning for Dimension Reduction |
A Gan-based Tunable Image Compression System |
Membership:
Program committee member | Reviewer