| 2024 | IJCAI | Expected Work Search: Combining Win Rate and Proof Size Estimation. | Owen Randall, Martin Mller, Ting-Han Wei, Ryan Hayward |
| 2018 | ICLR | Adversarial Policy Gradient for Alternating Markov Games. | Chao Gao, Martin Mller, Ryan Hayward |
| 2018 | IJCAI | Three-Head Neural Network Architecture for Monte Carlo Tree Search. | Chao Gao, Martin Mller, Ryan Hayward |
| 2017 | IJCAI | Focused Depth-first Proof Number Search using Convolutional Neural Networks for the Game of Hex. | Chao Gao, Martin Mller, Ryan Hayward |
| 2016 | IJCAI | NeuroHex: A Deep Q-learning Hex Agent. | Kenny Young, Gautham Vasan, Ryan Hayward |
| 2014 | COLING | Solving Substitution Ciphers with Combined Language Models. | Bradley Hauer, Ryan Hayward, Grzegorz Kondrak |
| 2013 | CISIS | An Architecture for Parallelizing Fully Homomorphic Cryptography on Cloud. | Ryan Hayward, Chia-Chu Chiang |
| 2002 | AAAI | Optimal Depth-First Strategies for And-Or Trees. | Russell Greiner, Ryan Hayward, Michael Molloy |
| 2000 | SODA | Weakly chordal graph algorithms via handles. | Ryan Hayward, Jeremy P. Spinrad, R. Sritharan |
| 1997 | SODA | Inferring Evolutionary Trees from Ordinal Data. | Paul E. Kearney, Ryan Hayward, Henk Meijer |
| 1992 | SODA | Strong Concentration for Quicksort. | Colin McDiarmid, Ryan Hayward |