Scholar
Ruofan Wu
Google Scholar ID: lvCtQUMAAAAJ
Coupang
Citations & Impact
Citations
540
H-index
11
i10-index
14
Publications
20
Co-authors
0
Contact
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- Published multiple papers including 'Toward a unified framework for data-efficient evaluation of large language models', 'Proto-EVFL: Enhanced Vertical Federated Learning via Dual Prototype with Extremely Unaligned Data'; received Top reviewer award at NeurIPS 2024; reviewed for conferences such as NeurIPS (2024, 2025), ICLR (2025, 2026), and ICML (2025).
Research Experience
- Works at Coupang, researching multi-modality foundation models.
Education
- Obtained a Ph.D. from the Department of Statistics, Fudan University in 2017, supervised by Professors Ming Zheng and Wen Yu, focusing on semiparametric statistics and survival analysis.
Background
- A staff machine learning engineer at Coupang, working on multi-modality foundation models. Broadly interested in trustworthy AI (privacy, fairness, robustness, etc.) and graph-related machine learning topics.
Miscellany
- Google Scholar profile
Co-authors