Postdoc, Tsinghua University
3 papers at NeurIPS 2025
A synthetic cyclic peptide-protein complex dataset derived from AFDB, facilitating training cyclic peptide binder design model from scratch for the first time.
We present the first variational autoencoder (VAE) model for 3D molecules that operates within a fixed-dimensional, E(3)-equivariant latent space, independent of atom counts.