(Photo Credit: Kangle Deng)
Sheng-Yu Wang

PhD Student
Carnegie Mellon University

shengyu2 at andrew.cmu.edu
[GitHub] [Google Scholar]

I am a PhD student at CMU, advised by Jun-Yan Zhu. I am also working closely with David Bau. My research interests are in computer graphics, computational photography, and machine learning. I received BA from UC Berkeley where I spent one wonderful year at BAIR, working with Oliver Wang, Richard Zhang, Andrew Owens and Alexei (Alyosha) Efros. Prior to joining BAIR, I worked with Fisher Yu at Berkeley DeepDrive and Michael Crommie on condensed matter physics research.


Evaluating Data Attribution for Text-to-Image Models
Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang.
In ICCV, 2023.
[Paper] [Webpage] [GitHub] [Bibtex]
Ablating Concepts in Text-to-Image Diffusion Models
Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu.
In ICCV, 2023.
[Paper] [Webpage] [GitHub] [Bibtex]
Rewriting Geometric Rules of a GAN
Sheng-Yu Wang, David Bau, Jun-Yan Zhu.
In SIGGRAPH, 2022.
[Paper] [Webpage] [GitHub] [Bibtex]
Sketch Your Own GAN
Sheng-Yu Wang, David Bau, Jun-Yan Zhu.
In ICCV, 2021.
[Paper] [Webpage] [GitHub] [Bibtex]
CNN-generated images are surprisingly easy to spot...for now
Sheng-Yu Wang, Oliver Wang, Richard Zhang, Andrew Owens, Alexei A. Efros.
In CVPR, 2020 (oral presentation).
[Paper] [Webpage] [GitHub] [Bibtex]
Detecting Photoshopped Faces by Scripting Photoshop
Sheng-Yu Wang, Oliver Wang, Andrew Owens, Richard Zhang, Alexei A. Efros.
In ICCV, 2019.
[Paper] [Webpage] [GitHub] [Poster] [Adobe Max] [Bibtex]
Reversible writing of high mobility and high carrier density doping patterns in two-dimensional van der Waals heterostructures
Wu Shi, Salman Khan, Lili Jiang, Sheng-Yu Wang, Hsin-Zon Tsai, Dillon Wong, Takashi Taniguchi, Kenji Watanabe, Fen Wang, Michael Crommie, Alex Zettl.
Nature Electronics.
Many thanks to Richard Zhang for sharing his website template!