| 2026 | CP | Column Generation with Domain-Independent Dynamic Programming. | Ryo Kuroiwa, Edward Lam |
| 2026 | CP | Constraint-Aware Self-Supervised Learning for Edge Selection. | Xinda Zheng, Frits de Nijs, Edward Lam |
| 2025 | SoCS | Low-Level Search on Time Intervals in Branch-and-Cut-and-Price for Multi-Agent Path Finding. | Edward Lam, Peter J. Stuckey |
| 2024 | SoCS | Optimal Unlabeled Pebble Motion on Trees. | Pierre Le Bodic, Edward Lam |
| 2021 | AAAI | A Scalable Two Stage Approach to Computing Optimal Decision Sets. | Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joo Marques-Silva |
| 2021 | ICSOC | An Adaptive Charging Scheduling for Electric Vehicles Using Multiagent Reinforcement Learning. | Xian-Long Lee, Hong-Tzer Yang, Wen-jun Tang, Adel Nadjaran Toosi, Edward Lam |
| 2020 | CP | Large Neighborhood Search for Temperature Control with Demand Response. | Edward Lam, Frits de Nijs, Peter J. Stuckey, Donald Azuatalam, Ariel Liebman |
| 2020 | CP | Exact Approaches to the Multi-agent Collective Construction Problem. | Edward Lam, Peter J. Stuckey, Sven Koenig, T. K. Satish Kumar |
| 2019 | IJCAI | Branch-and-Cut-and-Price for Multi-Agent Pathfinding. | Edward Lam, Pierre Le Bodic, Daniel Damir Harabor, Peter J. Stuckey |
| 2017 | CP | Branch-and-Check with Explanations for the Vehicle Routing Problem with Time Windows. | Edward Lam, Pascal Van Hentenryck |
| 2015 | CP | Joint Vehicle and Crew Routing and Scheduling. | Edward Lam, Pascal Van Hentenryck, Philip Kilby |
| 1991 | ICASSP | Semi-blind restoration from differently blurred versions of an image. | Rabab K. Ward, Edward Lam |