Shaoan Xie
Scholar

Shaoan Xie

Google Scholar ID: mChB-hQAAAAJ
Carnegie Mellon University
Representation LearningGenerative ModelCausality
Citations & Impact
All-time
Citations
1,410
 
H-index
13
 
i10-index
13
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Serving as an Area Chair for ICLR 2026; attending CVPR 2025; two papers accepted into ICML 2025; one paper accepted as a CVPR 2025 Highlight; work at Adobe, SmartBrush (CVPR 2023, Highlight), integrated into Photoshop and Firefly; paper i-StyleGAN accepted as an ICLR 2023 Spotlight, one of the first works to connect identifiability with multidomain image generation.
Research Experience
  • Interned at Adobe Research, working with Zhe Lin, Zhifei Zhang, and Tobias Hinz; also interned at Google, collaborating with Yang Zhao, Zhisheng Xiao, and Kelvin C. K. Chan.
Education
  • Pursuing a PhD at Carnegie Mellon University, advised by Prof. Kun Zhang and Prof. Peter Spirtes.
Background
  • PhD student at Carnegie Mellon University with research interests in developing AI systems that go beyond generating realistic multimodal data, aiming to make generative models controllable, interpretable, and trustworthy through principled representations of structure and dependencies.
Co-authors
0 total
Co-authors: 0 (list not available)