Nan Liu (aka. nan bread)

I am a MSCS student at University of Illinois at Urbana-Champaign. Previously, I graduated from University of Michigan, Ann Arbor with a bachelor's degree in Computer Science in 2021.

My current research is focused on generative models (i.e., energy-based models / diffusion models / score-based models). I am particularly interested in improving generalization ability of neural networks.

Email  /  Github  /  Twitter  /  Google Scholar

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Selected Publications

(* indicates equal contribution)

Compositional Visual Generation with Composable Diffusion Models
Nan Liu*, Shuang Li*, Yilun Du*, Antonio Torralba, Joshua B. Tenenbaum
ECCV 2022 / Website / Paper / Code / Colab / Demo / MIT News
Learning to Compose Visual Relations
Nan Liu*, Shuang Li*, Yilun Du*, Joshua B. Tenenbaum, Antonio Torralba
NeurIPS 2021 (Spotlight) / NeurIPS 2021 Workshop on Controllable Generative Modeling (Outstanding Paper Award) / Website / Paper / Code / MIT News


CS 543: Computer Vision (Fall 2022)

CS 441: Applied Machine Learning (Fall 2021, Spring 2022, Spring 2023)

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