2 papers
cs.LG2026
E2Former-V2: On-the-Fly Equivariant Attention with Linear Activation Memory
Lin Huang, Chengxiang Huang, Ziang Wang +7
Equivariant Graph Neural Networks (EGNNs) have become a widely used approach for modeling 3D atomistic systems. However, mainstream architectures face critical scalability bottlene…
physics.chem-ph2026
UBio-MolFM: A Universal Molecular Foundation Model for Bio-Systems
Lin Huang, Arthur Jiang, XiaoLi Liu +8
All-atom molecular simulation serves as a quintessential ``computational microscope'' for understanding the machinery of life, yet it remains fundamentally limited by the trade-off…