Jeffrey Ouyang-Zhang PhD Student at UT Austin GDC 4.702B (4th floor, south wing) jozhang at utexas.edu [CV]   [Google Scholar]   [Github]

I am a fifth year PhD student at The University of Texas at Austin, advised by Professor Philipp Krähenbühl.

I was previously a research assistant at UC Berkeley, working with Professors Jitendra Malik and Amir Zamir. I graduated from UC Berkeley with a Bachelors of Science degree.

I am broadly interested in applying machine learning to biological applications.

Publications

	Pearl: A Foundation Model for Placing Every Atom in the Right Location Genesis Research: Jeffrey Ouyang-Zhang, contributor [Paper]
	Triangle Multiplication is All You Need for Biomolecular Structure Representations Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Jesus Diaz, Gianluca Scarpellini, Richard Strong Bowen, Nate Gruver, Adam Klivans, Philipp Kraehenbuehl, Aleksandra Faust, Maruan Al-Shedivat ArXiv 2025 [Paper]
	Ambient Proteins: Training Diffusion Models on Low Quality Structures Giannis Daras*, Jeffrey Ouyang-Zhang*, Krithika Ravishankar, William Daspit, Costis Daskalakis, Qiang Liu, Adam Klivans, Daniel J. Diaz NeurIPS 2025 (Spotlight) [Paper] [Code]
	Distilling Structural Representations into Protein Sequence Models Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krähenbühl, Adam R Klivans, Daniel J Diaz ICLR 2025 [Paper] [Code] [Weights] [Poster]
	Predicting a Protein's Stability under a Million Mutations Jeffrey Ouyang-Zhang, Daniel J Diaz, Adam R Klivans, Philipp Krähenbühl NeurIPS 2023 [Paper] [Code] [Poster]
	Stability Oracle: A Structure-Based Graph-Transformer for Identifying Stabilizing Mutations Daniel J Diaz, Chengyue Gong, Jeffrey Ouyang-Zhang , James M Loy, Jordan Wells, David Yang, Andrew D Ellington, Alex Dimakis, Adam R Klivans Nature Communications 2024 [Paper]
	NMS Strikes Back Jeffrey Ouyang-Zhang, Jang Hyun Cho, Xingyi Zhou, Philipp Krähenbühl ArXiv 2022 [Paper] [Code]
	Side-Tuning: A Baseline for Network Adaptation via Additive Side Networks Jeffrey O. Zhang, Alexander Sax, Amir Zamir, Leonidas Guibas, Jitendra Malik ECCV 2020 (Spotlight) [Paper] [Website]
	Learning to Navigate Using Mid-Level Visual Priors Alexander Sax, Jeffrey O. Zhang, Bradley Emi, Amir Zamir, Silvio Savarese, Leonidas Guibas, Jitendra Malik CoRL 2019 (Winner of CVPR 2019 Habitat Challenge) [Paper] [Website] [Workshop Poster]
	Modular Architecture for StarCraft II with Deep Reinforcement Learning Dennis Lee*, Haoran Tang*, Jeffrey O. Zhang , Huazhe Xu, Trevor Darrell, Pieter Abbeel AIIDE 2018 [Paper] [Website]