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2020 – today
- 2024
[c8]Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal:
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. WACV (Workshops) 2024: 460-468- [i4]Wen Ma, Qiuwen Lou, Arman Kazemi, Julian Faraone, Tariq Afzal:
Super Efficient Neural Network for Compression Artifacts Reduction and Super Resolution. CoRR abs/2401.14641 (2024) - 2021
- [c7]Sean Fox, Seyedramin Rasoulinezhad, Julian Faraone, David Boland, Philip H. W. Leong:
A Block Minifloat Representation for Training Deep Neural Networks. ICLR 2021 - 2020
- [j2]Julian Faraone
, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong:
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. IEEE Trans. Very Large Scale Integr. Syst. 28(1): 115-128 (2020)
2010 – 2019
- 2019
- [c6]Sean Fox, Julian Faraone, David Boland, Kees A. Vissers, Philip H. W. Leong:
Training Deep Neural Networks in Low-Precision with High Accuracy Using FPGAs. FPT 2019: 1-9 - [i3]Julian Faraone, Martin Kumm, Martin Hardieck, Peter Zipf, Xueyuan Liu, David Boland, Philip H. W. Leong:
AddNet: Deep Neural Networks Using FPGA-Optimized Multipliers. CoRR abs/1911.08097 (2019) - 2018
- [c5]Jiang Su, Julian Faraone, Junyi Liu, Yiren Zhao, David B. Thomas, Philip Heng Wai Leong, Peter Y. K. Cheung:
Redundancy-Reduced MobileNet Acceleration on Reconfigurable Logic for ImageNet Classification. ARC 2018: 16-28 - [c4]Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong:
SYQ: Learning Symmetric Quantization for Efficient Deep Neural Networks. CVPR 2018: 4300-4309 - [c3]Julian Faraone, Giulio Gambardella, Nicholas J. Fraser, Michaela Blott, Philip H. W. Leong, David Boland:
Customizing Low-Precision Deep Neural Networks for FPGAs. FPL 2018: 97-100 - [c2]Siddhartha, Yee Hui Lee, Duncan J. M. Moss, Julian Faraone, Perry Blackmore, Daniel Salmond, David Boland, Philip H. W. Leong:
Long Short-Term Memory for Radio Frequency Spectral Prediction and its Real-Time FPGA Implementation. MILCOM 2018: 1-9 - [i2]Julian Faraone, Nicholas J. Fraser, Michaela Blott, Philip Heng Wai Leong:
SYQ: Learning Symmetric Quantization For Efficient Deep Neural Networks. CoRR abs/1807.00301 (2018) - 2017
- [j1]Nicholas J. Fraser, JunKyu Lee, Duncan J. M. Moss, Julian Faraone, Stephen Tridgell, Craig T. Jin, Philip Heng Wai Leong:
FPGA Implementations of Kernel Normalised Least Mean Squares Processors. ACM Trans. Reconfigurable Technol. Syst. 10(4): 26:1-26:20 (2017) - [c1]Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong:
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. ICONIP (2) 2017: 393-404 - [i1]Julian Faraone, Nicholas J. Fraser, Giulio Gambardella, Michaela Blott, Philip Heng Wai Leong:
Compressing Low Precision Deep Neural Networks Using Sparsity-Induced Regularization in Ternary Networks. CoRR abs/1709.06262 (2017)
Coauthor Index
aka: Philip Heng Wai Leong
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