| 2025 | COLING | Cultural Alignment in Large Language Models: An Explanatory Analysis Based on Hofstede's Cultural Dimensions. | Reem I. Masoud, Ziquan Liu, Martin Ferianc, Philip C. Treleaven, Miguel Rodrigues |
| 2024 | BMVC | SAE: Single Architecture Ensemble Neural Networks. | Martin Ferianc, Hongxiang Fan, Miguel R. D. Rodrigues |
| 2023 | CVPR | MIMMO: Multi-Input Massive Multi-Output Neural Network. | Martin Ferianc, Miguel Rodrigues |
| 2022 | ASPDAC | Algorithm and Hardware Co-design for Reconfigurable CNN Accelerator. | Hongxiang Fan, Martin Ferianc, Zhiqiang Que, He Li, Shuanglong Liu, Xinyu Niu, Wayne Luk |
| 2022 | DAC | Enabling fast uncertainty estimation: accelerating bayesian transformers via algorithmic and hardware optimizations. | Hongxiang Fan, Martin Ferianc, Wayne Luk |
| 2021 | DAC | High-Performance FPGA-based Accelerator for Bayesian Neural Networks. | Hongxiang Fan, Martin Ferianc, Miguel Rodrigues, Hongyu Zhou, Xinyu Niu, Wayne Luk |
| 2021 | ICANN | ComBiNet: Compact Convolutional Bayesian Neural Network for Image Segmentation. | Martin Ferianc, Divyansh Manocha, Hongxiang Fan, Miguel Rodrigues |
| 2021 | UAI | On the effects of quantisation on model uncertainty in Bayesian neural networks. | Martin Ferianc, Partha Maji, Matthew Mattina, Miguel Rodrigues |
| 2020 | ICCD | Optimizing FPGA-Based CNN Accelerator Using Differentiable Neural Architecture Search. | Hongxiang Fan, Martin Ferianc, Shuanglong Liu, Zhiqiang Que, Xinyu Niu, Wayne Luk |