Wei-Ying Ma

10

Papers

32

Total Citations

Papers (10)

Unified Generative Modeling of 3D Molecules with Bayesian Flow Networks

Steering Protein Family Design through Profile Bayesian Flow

Smooth Interpolation for Improved Discrete Graph Generative Models

ShortListing Model: A Streamlined Simplex Diffusion for Discrete Variable Generation

Empower Structure-Based Molecule Optimization with Gradient Guided Bayesian Flow Networks

Rethinking Specificity in SBDD: Leveraging Delta Score and Energy-Guided Diffusion

MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space

Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective

ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning