I am a second-year Ph.D. student in the Department of Applied Mathematics and Statistics at Johns Hopkins University, advised by Prof. Amitabh Basu. My research interests include integer programming, convex analysis, and discrete geometry.

📚 Publications

• Learning Cut Generating Functions for Integer Programming

  Hongyu Cheng and Amitabh Basu. Published in Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2024.

• Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut

  Hongyu Cheng, Sammy Khalife, Barbara Fiedorowicz, and Amitabh Basu. Published in Proceedings of Advances in Neural Information Processing Systems (NeurIPS), 2024.

• Neural Networks with Linear Threshold Activations: Structure and Algorithms

  Sammy Khalife, Hongyu Cheng, Amitabh Basu. Published in Mathematical Programming, vol. 206, pp. 333–356, 2024.

💬 Talks

• Learning Cut Generating Functions for Integer Programming (Poster)

  Sample Complexity of Algorithm Selection Using Neural Networks and Its Applications to Branch-and-Cut (Poster)

  NeurIPS 2024. Vancouver, Canada, December 2024.

• Sample Complexity of Learning Cut Generating Functions (Invited Talk)

  2024 INFORMS Annual Meeting. Seattle, Washington, October 2024.

• 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

• EN.553.665 Introduction to Convexity (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)