Jeffrey Ouyang-Zhang
PhD Student at UT Austin

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

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]