26 citations · 30 across the 3 of their papers we have counts for
3 papers
cs.LG2023★ 4 cited
Materials Informatics Transformer: A Language Model for Interpretable Materials Properties Prediction
Hongshuo Huang, Rishikesh Magar, Changwen Xu +1
Recently, the remarkable capabilities of large language models (LLMs) have been illustrated across a variety of research domains such as natural language processing, computer visio…
cs.LG2023★ 26 cited
Denoise Pretraining on Nonequilibrium Molecules for Accurate and Transferable Neural Potentials
Yuyang Wang, Changwen Xu, Zijie Li +1
Recent advances in equivariant graph neural networks (GNNs) have made deep learning amenable to developing fast surrogate models to expensive ab initio quantum mechanics (QM) appro…
cs.CV2022
ContraFeat: Contrasting Deep Features for Semantic Discovery
Xinqi Zhu, Chang Xu, Dacheng Tao
StyleGAN has shown strong potential for disentangled semantic control, thanks to its special design of multi-layer intermediate latent variables. However, existing semantic discove…