Zun Wang

FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling

E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products

Enhancing the Scalability and Applicability of Kohn-Sham Hamiltonians for Molecular Systems

Efficient and Scalable Density Functional Theory Hamiltonian Prediction through Adaptive Sparsity

FreeCG: Free the Design Space of Clebsch-Gordan Transform for Machine Learning Force Fields

Tokenizing 3D Molecule Structure with Quantized Spherical Coordinates

SE3Set: Harnessing equivariant hypergraph neural networks for molecular representation learning