Hongyu Cheng

Hongyu Cheng

Johns Hopkins University

🙋‍♂️ About Me

I am a third-year Ph.D. student in the Department of Applied Mathematics and Statistics at Johns Hopkins University, where I have the privilege of being advised by Prof. Amitabh Basu. My research interests include integer programming, convex analysis, and discrete geometry, with a particular focus on the intersection of machine learning and discrete optimization.

📚 Publications

1.
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming
Hongyu Cheng and Amitabh Basu
Preprint, 2025
2.
Learning Cut Generating Functions for Integer Programming
Hongyu Cheng and Amitabh Basu
Advances in Neural Information Processing Systems NeurIPS, 2024
3.
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut
Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz, and Amitabh Basu
Advances in Neural Information Processing Systems NeurIPS, 2024
4.
Neural Networks with Linear Threshold Activations: Structure and Algorithms
Sammy Khalife, Hongyu Cheng, Amitabh Basu
Mathematical Programming Math. Program., vol. 206, pp. 333--356, 2024

💬 Talks

1.
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming (Invited Talk)
INFORMS Annual Meeting INFORMS
Atlanta, Georgia · October 2025
2.
Generalization Guarantees for Learning Branch-and-Cut Policies in Integer Programming (Poster)
25th International Conference on Integer Programming and Combinatorial Optimization IPCO
Baltimore, MD · June 2025
3.
Learning Cut Generating Functions for Integer Programming (Poster)
Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut (Poster)
Advances in Neural Information Processing Systems NeurIPS
Vancouver, Canada · December 2024
4.
Sample Complexity of Learning Cut Generating Functions (Invited Talk)
INFORMS Annual Meeting INFORMS
Seattle, Washington · October 2024
5.
A Data-Driven Approach to Cut Generating Function Selection (Invited Talk)
25th International Symposium on Mathematical Programming ISMP
Montreal, Canada · July 2024

🏅 Honors and Awards

JHU MINDS Data Science Fellowship Fall 2025
NeurIPS Scholar Award December 2024
Rufus S. Isaacs Graduate Fellowship 2024-2025 academic year
Duncan Research Fund Summer 2024
JHU MINDS Data Science Fellowship Summer 2024

📖 Teaching

Teaching Assistant at Johns Hopkins University (Promoted to Teaching Fellow in May 2025)
EN.553.665 Introduction to Convexity Recitation Notes Fall 2022, 2023, 2024, Spring 2024, 2025
EN.553.766 Combinatorial Optimization Spring 2023
EN.553.762 Nonlinear Optimization II Spring 2023
EN.553.385 Numerical Linear Algebra Spring 2022