Shaoan Xie
PhD Candidate
United States
Summary
👤
Senior🎓
Top SchoolShaoan Xie is a PhD candidate at Carnegie Mellon University with a decade of experience researching causality, representation learning, and generative models. He has combined academic rigor with industry impact through internships and research roles at Google and Adobe, contributing to a diffusion-based image inpainting model (SmartBrush) that shipped in Adobe Photoshop and was highlighted at CVPR. Shaoan focuses on causal representation learning across multi-domain data, bridging theory and practical systems to make models more robust and interpretable. Based in Pittsburgh, he brings deep expertise in machine learning research plus hands-on experience taking ideas from paper to product. Notably, his work emphasizes the intersection of causality and generative modeling, revealing latent structure that improves generalization across domains.
10 years of coding experience
Master's degree, Computer Science, Master's degree, Computer Science at Sun Yat-sen UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at Carnegie Mellon University
Github Skills (11)
transfer-learning10
adversarial-learning10
backpropagation9
image-translation9
shortest-path9
generative-adversarial-network8
tensorflow7
pytorch6
regularization6
kernel1
semi-supervised-learning1
Programming languages (2)
Github contributions (5)
Mid-Push/mid-push.github.io
Mar 2023 - Jul 2026
A simple and elegant Jekyll theme for an academic personal homepage
Contributions:197 pushes in 3 years 4 months
Mid-Push/Moving-Semantic-Transfer-Network
Jun 2018 - Jul 2018
Tensorflow codes for ICML2018, Learning Semantic Representations for Unsupervised Domain Adaptation
Contributions:86 commits, 76 pushes, 1 branch in 1 month
tensorflowicml-2018domainadaptationtransferlearningadversarial-networks
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