| 2026 | CPAIOR | Heuristic Multiobjective Discrete Optimization Using Restricted Decision Diagrams. | Rahul Patel, Elias B. Khalil, David Bergman |
| 2026 | CPAIOR | Large Neighborhood Search Meets Iterative Neural Constraint Heuristics. | Yudong W. Xu, Wenhao Li, Scott Sanner, Elias B. Khalil |
| 2025 | AAAI | Learn2Aggregate: Supervised Generation of Chvatal-Gomory Cuts Using Graph Neural Networks. | Arnaud Deza, Elias B. Khalil, Zhenan Fan, Zirui Zhou, Yong Zhang |
| 2024 | CPAIOR | LEO: Learning Efficient Orderings for Multiobjective Binary Decision Diagrams. | Rahul Patel, Elias B. Khalil |
| 2024 | CPAIOR | CaVE: A Cone-Aligned Approach for Fast Predict-then-optimize with Binary Linear Programs. | Bo Tang, Elias B. Khalil |
| 2023 | AAAI | Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto. | Weimin Huang, Elias B. Khalil |
| 2023 | AAAI | Recent Developments in Data-Driven Algorithms for Discrete Optimization. | Elias B. Khalil |
| 2023 | AAAI | Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus. | Yudong Xu, Elias B. Khalil, Scott Sanner |
| 2023 | CP | Fast Matrix Multiplication Without Tears: A Constraint Programming Approach. | Arnaud Deza, Chang Liu, Pashootan Vaezipoor, Elias B. Khalil |
| 2023 | CPAIOR | Scalable and Near-Optimal ε-Tube Clusterwise Regression. | Aravinth Chembu, Scott Sanner, Elias B. Khalil |
| 2023 | IJCAI | Machine Learning for Cutting Planes in Integer Programming: A Survey. | Arnaud Deza, Elias B. Khalil |
| 2022 | AAAI | MIP-GNN: A Data-Driven Framework for Guiding Combinatorial Solvers. | Elias B. Khalil, Christopher Morris, Andrea Lodi |
| 2022 | AAAI | Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework. | Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina |
| 2021 | IJCAI | Combinatorial Optimization and Reasoning with Graph Neural Networks. | Quentin Cappart, Didier Chtelat, Elias B. Khalil, Andrea Lodi, Christopher Morris, Petar Velickovic |
| 2019 | ICLR | Combinatorial Attacks on Binarized Neural Networks. | Elias B. Khalil, Amrita Gupta, Bistra Dilkina |
| 2017 | ICML | Fake News Mitigation via Point Process Based Intervention. | Mehrdad Farajtabar, Jiachen Yang, Xiaojing Ye, Huan Xu, Rakshit S. Trivedi, Elias B. Khalil, Shuang Li, Le Song, Hongyuan Zha |
| 2017 | IJCAI | Learning to Run Heuristics in Tree Search. | Elias B. Khalil, Bistra Dilkina, George L. Nemhauser, Shabbir Ahmed, Yufen Shao |
| 2017 | IJCAI | Learning Feature Engineering for Classification. | Fatemeh Nargesian, Horst Samulowitz, Udayan Khurana, Elias B. Khalil, Deepak S. Turaga |
| 2017 | SSBSE | Human Resource Optimization for Bug Fixing: Balancing Short-Term and Long-Term Objectives. | Elias B. Khalil, Mustafa Assaf, Abdel Salam Sayyad |
| 2016 | IJCAI | Machine Learning for Integer Programming. | Elias B. Khalil |
| 2016 | WWW | Generating Graph Snapshots from Streaming Edge Data. | Sucheta Soundarajan, Acar Tamersoy, Elias B. Khalil, Tina Eliassi-Rad, Duen Horng Chau, Brian Gallagher, Kevin A. Roundy |