Fragment-Based Sequential Translation for Molecular Optimization.
Benson Chen*, Xiang Fu*, Regina Barzilay, Tommi Jaakkola.
NeurIPS AI4Science workshop, 2021.

Crystal Diffusion Variational Autoencoder for Periodic Material Generation.
Tian Xie*, Xiang Fu*, Octavian Ganea*, Regina Barzilay, Tommi Jaakkola.
Contributed talk, NeurIPS ML4PS workshop, 2021.

Language Inference for Reward Learning.
Xiang Fu, Tao Chen, Pulkit Agrawal, Tommi Jaakkola.
NeurIPS BARL Workshop, 2020.


Learning to Jump from Pixels.
Gabriel Margolis, Tao Chen, Kartik Paigwar, Xiang Fu, Donghyun Kim, Sangbae Kim, Pulkit Agrawal.
Conference on Robot Learning (CoRL), 2021.
Covered at: MIT News, AZoRobotics, The Robot Report
[website] [paper]

Learning Task Informed Abstractions.
Xiang Fu*, Ge Yang*, Pulkit Agrawal, Tommi Jaakkola.
International Conference on Machine Learning (ICML), 2021.
[website] [paper] [code]

Modeling and Analysis of Tagging Networks in Stack Exchange Communities.
Xiang Fu*, Shangdi Yu*, Austin R. Benson.
Journal of Complex Networks, 2020.
[paper] [code]