| 2022 | IGARSS | A Weakly-Supervised, Multitask Deep Learning Framework for Shadow Mitigation in Remote Sensing Imagery. | Scott D. Couwenhoven, Emmett J. Ientilucci, Byung H. Park, David Hughes |
| 2021 | IGARSS | Spatiotemporal Tracking of Wide Area Power Outage from Night-Time Light Imagery. | Bandana Kar, Jessica Bobeck, Tamar Moss, David Hughes |
| 2020 | IGARSS | Multi-Scale Remote Sensing for Fall Armyworm Monitoring and Early Warning Systems. | Maria Luisa Buchaillot, Jill E. Cairns, Esnath Hamadziripi, Kenneth Wilson, David Hughes, John Chelal, Peter McCloskey, Annalyse Kehs, Nicholas Clinton, Keith Cressman, Jos Luis Araus, Shawn C. Kefauver |
| 2020 | MICCAI | Automatic Segmentation of Achilles Tendon Tissues Using Deep Convolutional Neural Network. | Tariq Alzyadat, Stephan Praet, Girija Chetty, Roland Goecke, David Hughes, Dinesh Kumar, Marijke Welvaert, Nicole Vlahovich, Gordon Waddington |
| 2017 | SC | Optimizing Convolutional Neural Networks for Cloud Detection. | J. Travis Johnston, Steven R. Young, David Hughes, Robert M. Patton, Devin White |
| 2015 | UAI | Computing Optimal Bayesian Decisions for Rank Aggregation via MCMC Sampling. | David Hughes, Kevin Hwang, Lirong Xia |
| 1995 | SAFECOMP | The Use of Animated Graphical Simulation Techniques to Facilitate Safe Operation, Assembly and Disassembly of Safety Critical Equipment and Systems. | David Hughes |