Xiang Fu 付襄

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Member of Technical Staff at Periodic Labs. Previously at Meta FAIR. I completed my PhD at MIT CSAIL, advised by Tommi Jaakkola with additional mentorship from Pulkit Agrawal.

Selected Publications

UMA: A Family of Universal Models for Atoms.
NeurIPS, 2025.
paper | code | checkpoint
Learning Smooth and Expressive Interatomic Potentials for Physical Property Prediction.
ICML, 2025.
paper | code | checkpoint
A Generative Model for Inorganic Materials Design.
Nature, 2025.
paper | code
A Recipe for Charge Density Prediction.
NeurIPS, 2024.
paper | code
Crystal Diffusion Variational Autoencoder for Periodic Material Generation.
ICLR, 2022.
paper | code
Learning Task Informed Abstractions.
ICML, 2021.
paper | code

For a complete list, see my Google Scholar page.