| 2025 | COLING | LAB-KG: A Retrieval-Augmented Generation Method with Knowledge Graphs for Medical Lab Test Interpretation. | Rui Guo, Barry Devereux, Greg Farnan, Niall McLaughlin |
| 2025 | CVPR | Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis. | Jeonghwan Park, Niall McLaughlin, Ihsen Alouani |
| 2024 | BMVC | Learning to Segment Publicly Accessible Green Spaces with Visual and Semantic Data. | Jian Gao, Niall McLaughlin, Joanna Sara Valson, Neil Anderson, Ruth F. Hunter |
| 2024 | WACV | Automated Monitoring of Ear Biting in Pigs by Tracking Individuals and Events. | Anicetus Odo, Niall McLaughlin, Ilias Kyriazakis |
| 2024 | WACV | Hard-label based Small Query Black-box Adversarial Attack. | Jeonghwan Park, Paul Miller, Niall McLaughlin |
| 2021 | ANT | Towards Explainable CNNs for Android Malware Detection. | Martin Kinkead, Stuart Millar, Niall McLaughlin, Philip O'Kane |
| 2016 | CVPR | Recurrent Convolutional Network for Video-Based Person Re-identification. | Niall McLaughlin, Jess Martnez del Rincn, Paul Miller |
| 2015 | AVSS | Data-augmentation for reducing dataset bias in person re-identification. | Niall McLaughlin, Jess Martnez del Rincn, Paul Miller |
| 2015 | WACV | Enhancing Linear Programming with Motion Modeling for Multi-target Tracking. | Niall McLaughlin, Jess Martnez del Rincn, Paul Miller |
| 2013 | AVSS | Online multiperson tracking with occlusion reasoning and unsupervised track motion model. | Niall McLaughlin, Jess Martnez del Rincn, Paul Miller |
| 2012 | ICASSP | Illumination invariant facial recognition using a piecewise-constant lighting model. | Niall McLaughlin, Ji Ming, Danny Crookes |
| 2011 | Interspeech | Robust Bimodal Person Identification Using Face and Speech with Limited Training Data and Corruption of Both Modalities. | Niall McLaughlin, Ji Ming, Danny Crookes |