Scholar
Cheng-Yu Hsieh
Google Scholar ID: WXX6ZwwAAAAJ
Ph.D. student, University of Washington
Citations & Impact
Citations
2,445
H-index
16
i10-index
18
Publications
20
Co-authors
23
list available
Publications
Cited
0
Resume (English only)
Academic Achievements
- - Publications: Involved in several research papers such as 'Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions', 'RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations', etc., published in top conferences like CVPR 2025, NeurIPS 2024, etc.
- - Awards: Supported by the Google PhD Fellowship.
Research Experience
- - Prior to joining UW, spent time visiting Carnegie Mellon University and UCLA, working with Pradeep Ravikumar and Cho-Jui Hsieh respectively.
Education
- - Ph.D.: University of Washington, Computer Science & Engineering (Advisors: Ranjay Krishna, Alex Ratner), time not specified
- - M.S.: National Taiwan University (Advisor: Hsuan-Tien Lin)
- - B.S.: National Taiwan University
Background
- - Research Interests: Tackling challenges in today’s large-scale machine learning environment, focusing on efficient and effective data and model scaling. This includes efficiently curating large datasets, effectively aligning model behavior through data, efficiently deploying large models, and effectively adapting large models to downstream applications.
- - Professional Field: Computer Science & Engineering
- - Brief Introduction: Currently a Ph.D. student at the University of Washington, CSE, aiming to democratize AI development.
Miscellany
- Currently on the job market this year and open to discussing potential opportunities.
