Scholar
Hongyu Cheng
Google Scholar ID: vx1h9sUAAAAJ
Johns Hopkins University
Citations & Impact
Citations
37
H-index
3
i10-index
1
Publications
4
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published several papers such as 'Generalization Guarantees for Learning Score-Based Branch-and-Cut Policies in Integer Programming', 'Learning Cut Generating Functions for Integer Programming', etc.; received honors like JHU MINDS Data Science Fellowship, NeurIPS Scholar Award, and more.
Research Experience
- Has been a speaker at multiple international conferences including INFORMS Annual Meeting, IPCO, etc.; served as a Teaching Assistant at Johns Hopkins University and was promoted to Teaching Fellow in May 2025.
Education
- Pursuing a Ph.D. at Johns Hopkins University, advised by Prof. Amitabh Basu.
Background
- Hongyu Cheng is a third-year Ph.D. student in the Department of Applied Mathematics and Statistics at Johns Hopkins University. His research interests include integer programming, convex analysis, and discrete geometry, with a particular focus on the intersection of machine learning and discrete optimization.
Miscellany
- Involved in professional services, serving as a session chair for the INFORMS Optimization Society Conference (IOS) 2026 and as a reviewer for journals and conferences.
Co-authors