| 2024 | ECOOP | Higher-Order Specifications for Deductive Synthesis of Programs with Pointers. | David Young, Ziyi Yang, Ilya Sergey, Alex Potanin |
| 2022 | ESANN | High Accuracy and Low Regret for User-Cold-Start Using Latent Bandits. | David Young, Douglas J. Leith |
| 2021 | PADL | On Adding Pattern Matching to Haskell-Based Deeply Embedded Domain Specific Languages. | David Young, Mark Grebe, Andy Gill |
| 2019 | AIME | Evaluation of Random Forest and Ensemble Methods at Predicting Complications Following Cardiac Surgery. | Linda Lapp, Matt-Mouley Bouamrane, Kimberley Kavanagh, Marc Roper, David Young, Stefan Schraag |
| 2017 | GPCE | Rewriting a shallow DSL using a GHC compiler extension. | Mark Grebe, David Young, Andy Gill |
| 2017 | SGAI | Inference and Discovery in Remote Sensing Data with Features Extracted Using Deep Networks. | Isabel Sargent, Jonathon S. Hare, David Young, Olivia Wilson, Charis Doidge, David Holland, Peter M. Atkinson |
| 2016 | CogSIMA | BARRACUDA: An augmented reality display for increased motorcyclist en route hazard awareness. | Michael P. Jenkins, David Young |
| 2016 | CogSIMA | Enhancing hazard awareness with a mobile application for high risk, high consequence avalanche terrain decisions. | Michael Jenkins, David Young, Keith Gale |
| 2009 | ICONIP | Identifying Tobacco Control Policy Drivers: A Neural Network Approach. | Xiaojiang Ding, Susan E. Bedingfield, Chung-Hsing Yeh, Ron Borland, David Young, Sonja Petrovic-Lazarevic, Ken Coghill |
| 2008 | IDEAL | Performance Evaluation of Intelligent Prediction Models on Smokers' Quitting Behaviour. | Chang-Joo Yun, Xiaojiang Ding, Susan E. Bedingfield, Chung-Hsing Yeh, Ron Borland, David Young, Sonja Petrovic-Lazarevic, Ken Coghill, Jian Ying Zhang |