PPaperPicks

Wenbing Huang

Renmin University of China, Beijing, China

30 papers at tracked venues · 29 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. AbFlow: End-to-end Paratope-Centric Antibody Design by Interaction Enhanced Flow Matching
  2. Annotation-guided Protein Design with Multi-Level Domain Alignment
  3. DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training
  4. Geometric Mixture Models for Electrolyte Conductivity Prediction
  5. HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning
  6. Large Language-Geometry Model: When LLM meets Equivariance
  7. Latent Retrieval Augmented Generation of Cross-Domain Protein Binders
  8. Learning 3D Anisotropic Noise Distributions Improves Molecular Force Fields
  9. MOF-BFN: Metal-Organic Frameworks Structure Prediction via Bayesian Flow Networks
  10. ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning
  11. Size-Generalizable RNA Structure Evaluation by Exploring Hierarchical Geometries
  12. StableToolBench-MirrorAPI: Modeling Tool Environments as Mirrors of 7, 000+ Real-World APIs
  13. Think Then React: Towards Unconstrained Action-to-Reaction Motion Generation
  14. Towards Effective and Efficient Continual Pre-training of Large Language Models
  15. UniMoMo: Unified Generative Modeling of 3D Molecules for De Novo Binder Design
  16. UniSim: A Unified Simulator for Time-Coarsened Dynamics of Biomolecules
  17. Universally Invariant Learning in Equivariant GNNs
  18. Zero-Shot Cyclic Peptide Design via Composable Geometric Constraints
  19. 3D Structure Prediction of Atomic Systems with Flow-based Direct Preference Optimization
  20. Are High-Degree Representations Really Unnecessary in Equivariant Graph Neural Networks?
  21. EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction
  22. Equivariant Diffusion for Crystal Structure Prediction
  23. Full-Atom Peptide Design with Geometric Latent Diffusion
  24. Generalist Equivariant Transformer Towards 3D Molecular Interaction Learning
  25. Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning
  26. Learning Superconductivity from Ordered and Disordered Material Structures
  27. Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
  28. Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
  29. Space Group Constrained Crystal Generation
  30. Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments