Scholar
Grace Su
Google Scholar ID: i7y6WAEAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
70
H-index
3
i10-index
3
Publications
4
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- - Honors: National Science Foundation Graduate Research Fellowship (Mar 2023 - Present), Egleston Scholar, Columbia Engineering (Sep 2019 - May 2023)
- - Publications: 'Identifying Prompted Artist Names from Generated Images', 'Customizing Text-to-Image Diffusion with Object Viewpoint Control', 'DeepScribe: Localization and Classification of Elamite Cuneiform Signs via Deep Learning', 'Mixed Reality Synthetic Data Generation', 'Concept Whitening for Transfer of Concepts in Imitation Learning', 'Unemployment in the AI Age'
Research Experience
- Working in the Generative Intelligence Lab at Carnegie Mellon University under the guidance of Prof. Jun-Yan Zhu.
Education
- - Master's Degree: Robotics Institute, School of Computer Science, Carnegie Mellon University, advised by Prof. Jun-Yan Zhu, time not specified
- - Bachelor's Degree: Columbia University, majoring in Computer Science and minoring in Applied Mathematics, from Sep 2019 to May 2023
Background
- Currently pursuing a Master of Science in Robotics at Carnegie Mellon University, advised by Prof. Jun-Yan Zhu in the Generative Intelligence Lab. Her main research interest is in computer vision, especially generative models, representation learning, semantic understanding, and synthetic data generation. She aims to improve generative models, leverage their learned representations, and investigate how training with synthetic data affects visual representation learning.
Miscellany
- Contact information includes email gdsu [at] andrew [dot] cmu [dot] edu, as well as links to GitHub and LinkedIn.
Co-authors