Sheng-Yu Wang Homepage (original) (raw)

I am a PhD candidate at CMU, advised by Jun-Yan Zhu. These days, I am also working closely with Richard Zhang, Alexei (Alyosha) Efros, Aaron Hertzmann, and David Bau. I am generally interested in image synthesis and understanding deep neural networks. During undergrad, I worked at BAIR with Oliver Wang, Richard Zhang, Andrew Owens and Alexei (Alyosha) Efros. In the past, I have worked on image forensics, and condensed matter physics. My research is supported by Google PhD Fellowship, Snap Research Fellowship, and Uber Presidential Fellowship.

Publications

	Data Attribution for Text-to-Image Models by Unlearning Synthesized Images Sheng-Yu Wang, Aaron Hertzmann,Alexei A. Efros, Jun-Yan Zhu, Richard Zhang. In NeurIPS, 2024. [Paper] [Webpage] [GitHub] [Bibtex]
	Customizing Text-to-Image Models with a Single Image Pair Maxwell Jones, Sheng-Yu Wang, Nupur Kumari, David Bau, Jun-Yan Zhu. In SIGGRAPH Asia, 2024. [Paper] [Webpage] [GitHub] [Bibtex]
	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]
	Content-Based Search for Deep Generative Models Daohan Lu*, Sheng-Yu Wang*, Nupur Kumari*, Rohan Agarwal*, Mia Tang, David Bau, Jun-Yan Zhu. In SIGGRAPH Asia, 2023. [Modelverse] [Webpage] [Github] [Paper] [Video] [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. [Paper]

Many thanks to Richard Zhang for sharing his website template!