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I am a CS graduate student at Princeton University. My research interests are broadly in machine learning and computer vision.
During my undergraduate time, I interned at NVIDIA AI lab, where I feel fortunate to be mentored by professors Sanja Fidler and Antonio Torralba. Before that, I worked as an undergraduate research assistant at the University of Waterloo, supervised by professor Florian Kerschbaum. GOOGLE SCHOLAR | LINKEDIN | EMAIL |
Publication
DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort
- Yuxuan Zhang*, Huan ling*, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler
- Accepted to Conference on Computer Vision and Pattern Recognition (CVPR) 2021, Oral Presentation
- arXiv: 2104.06490 | Project Page | Code
Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering
- Yuxuan Zhang*, Wenzheng Chen*, Huan ling, Jun Gao, Yinan Zhang, Antonio Torralba, Sanja Fidler.
- Accepted to International Conference on Learning Representations (ICLR) 2021, Oral Presentation
- arXiv: 2010.09125 | Project Page
All You Need is RAW: Defending Against Adversarial Attacks with Camera Image Pipelines
- Yuxuan Zhang , Bo Dong, Felix Heide
- Under Review
- arXiv: 2112.09219
The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement
- Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Cecilia Zhang, Jiawen Chen, Felix Heide
- Accepted to Conference on Computer Vision and Pattern Recognition (CVPR) 2022, Oral Presentation
- arXiv: 2111.13738 | Project Page | Code
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
- Nils Lukas, Yuxuan Zhang, Florian Kerschbaum
- Accepted to International Conference on Learning Representations (ICLR) 2021, Spotlight Presentation
- arXiv: 1912.00888