| 2024 | FPL | HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator. | Zhewen Yu, Sudarshan Sreeram, Krish Agrawal, Junyi Wu, Alexander Montgomerie-Corcoran, Cheng Zhang, Jianyi Cheng, Christos-Savvas Bouganis, Yiren Zhao |
| 2023 | FCCM | HARFLOW3D: A Latency-Oriented 3D-CNN Accelerator Toolflow for HAR on FPGA Devices. | Petros Toupas, Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis, Dimitrios Tzovaras |
| 2023 | FPL | PASS: Exploiting Post-Activation Sparsity in Streaming Architectures for CNN Acceleration. | Alexander Montgomerie-Corcoran, Zhewen Yu, Jianyi Cheng, Christos-Savvas Bouganis |
| 2022 | FPL | SAMO: Optimised Mapping of Convolutional Neural Networks to Streaming Architectures. | Alexander Montgomerie-Corcoran, Zhewen Yu, Christos-Savvas Bouganis |
| 2021 | ASPDAC | DEF: Differential Encoding of Featuremaps for Low Power Convolutional Neural Network Accelerators. | Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis |
| 2021 | DSD | POMMEL: Exploring Off-Chip Memory Energy & Power Consumption in Convolutional Neural Network Accelerators. | Alexander Montgomerie-Corcoran, Christos-Savvas Bouganis |