2 papers
q-bio.BM2026
An accurate nucleic acid-small molecule docking framework via geometric deep learning with large-scale pretraining
Shi Li, Xujun Zhang, Mingquan Liu +5
Nucleic acids are increasingly recognized as therapeutic targets beyond conventional protein-centered drug discovery, yet accurate and efficient docking of small molecules to nucle…
cs.LG2026
Nexusformer: Nonlinear Attention Expansion for Stable and Inheritable Transformer Scaling
Weijie Zhao, Mingquan Liu, Bolun Wang +4
Scaling Transformers typically necessitates training larger models from scratch, as standard architectures struggle to expand without discarding learned representations. We identif…