Scholar
Jianyu Xu
Google Scholar ID: NQ2lp9gAAAAJ
Carnegie Mellon University
Citations & Impact
Citations
313
H-index
6
i10-index
5
Publications
14
Co-authors
19
list available
Publications
Resume (English only)
Academic Achievements
- Served as a top reviewer for NeurIPS multiple times, an area chair for ICML 2025, and a reviewer for several prestigious journals. Multiple papers accepted at key conferences such as ICML 2024 and WINE 2025, with preprints available on ArXiv.
Research Experience
- Currently a postdoctoral research associate at the Machine Learning Department (MLD) of Carnegie Mellon University (CMU), working with Prof. Aarti Singh and Prof. Bryan Wilder.
Education
- PhD in Computer Science from UC Santa Barbara in 2024, advised by Prof. Yu-Xiang Wang; B.S. from Tsinghua University in 2019, advised by Prof. Guoqi Li.
Background
- Broadly interested in online learning and decision-making under uncertainty, focusing on generative online learning, online optimization with non-convex structures, and dynamic pricing algorithms. Applications include AI-driven decision support for high-stakes healthcare and AI-assisted mathematical reasoning and automated theorem proving.
Miscellany
- Homepage powered by Jekyll & AcademicPages, a fork of Minimal Mistakes.
