weitao Du
9 papers · 2021–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Renaissance Researcher (5) πΊοΈ Taxonomy Completionist (17) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (5)
π£
Hot Topic Early Bird
π
Cross-Pollinator
(12)
π
Keyword Champion
(3)
π
Grand Slam
β‘
Prolific Year
(5)
Conferences
ICML (3)
NIPS (3)
AAAI (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
geometric deep learning
(3)
diffusion model
(3)
geometric representation
(2)
graph neural network
(2)
molecule representation
(2)
stochastic differential equation
(2)
drug discovery
(2)
generative model
(1)
molecular graph
(1)
training dynamics
(1)
denoising diffusion
(1)
equivariant graph neural network
(1)
crystalline material
(1)
molecular representation
(1)
equivariant neural network
(1)
protein structure
(1)
equivariant representation
(1)
3d geometry
(1)
molecular property prediction
(1)
dynamical isometry
(1)
Papers
GDiffRetro: Retrosynthesis Prediction with Dual Graph Enhanced Molecular Representation and Diffusion Generation
AAAI 2025
A Flexible Diffusion Model
ICML 2023
A Group Symmetric Stochastic Differential Equation Model for Molecule Multi-modal Pretraining
ICML 2023
A new perspective on building efficient and expressive 3D equivariant graph neural networks
NIPS 2023
Molecule Joint Auto-Encoding: Trajectory Pretraining with 2D and 3D Diffusion
NIPS 2023
Symmetry-Informed Geometric Representation for Molecules, Proteins, and Crystalline Materials
NIPS 2023
Towards Deepening Graph Neural Networks: A GNTK-based Optimization Perspective
ICLR 2022
SE(3) Equivariant Graph Neural Networks with Complete Local Frames
ICML 2022
On the Neural Tangent Kernel of Deep Networks with Orthogonal Initialization
IJCAI 2021