Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. - Julian Faraone; Nicholas J. Fraser; Giulio Gambardella; Michaela Blott; Philip Heng Wai Leong (ICONIP (2), 2017)

FPGA Implementations of Kernel Normalised Least Mean Squares Processors. - Nicholas J. Fraser; JunKyu Lee; Duncan J. M. Moss; Julian Faraone; Stephen Tridgell; Craig T. Jin; Philip Heng Wai Leong (ACM Trans. Reconfigurable Technol. Syst., 2017)

Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification. - Jiang Su; Julian Faraone; Junyi Liu; Yiren Zhao; David B. Thomas; Philip Heng Wai Leong; Peter Y. K. Cheung (ARC, 2018)

SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. - Julian Faraone; Nicholas J. Fraser; Michaela Blott; Philip H. W. Leong (CVPR, 2018)

Customizing Low-Precision Deep Neural Networks for FPGAs. - Julian Faraone; Giulio Gambardella; Nicholas J. Fraser; Michaela Blott; Philip H. W. Leong; David Boland (FPL, 2018)

Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation. - Siddhartha 003; Yee Hui Lee; Duncan J. M. Moss; Julian Faraone; Perry Blackmore; Daniel Salmond; David Boland; Philip H. W. Leong (MILCOM, 2018)

Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs. - Sean Fox; Julian Faraone; David Boland; Kees A. Vissers; Philip H. W. Leong (FPT, 2019)

AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. - Julian Faraone; Martin Kumm; Martin Hardieck; Peter Zipf; Xueyuan Liu 002; David Boland; Philip H. W. Leong (IEEE Trans. Very Large Scale Integr. Syst., 2020)

A Block Minifloat Representation for Training Deep Neural Networks. - Sean Fox; Seyedramin Rasoulinezhad; Julian Faraone; David Boland; Philip H. W. Leong (ICLR, 2021)

Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. - Wen Ma; Qiuwen Lou; Arman Kazemi; Julian Faraone; Tariq Afzal (WACV (Workshops), 2024)