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Deep neural network approximation for custom hardware: Where we've been, where we're going
E Wang, JJ Davis, R Zhao, HC Ng, X Niu, W Luk, PYK Cheung, ...
ACM Computing Surveys (CSUR) 52 (2), 1-39, 2019
2122019
Optimizing CNN-based object detection algorithms on embedded FPGA platforms
R Zhao, X Niu, Y Wu, W Luk, Q Liu
Applied Reconfigurable Computing: 13th International Symposium, ARC 2017 …, 2017
892017
Optimizing CNN-based segmentation with deeply customized convolutional and deconvolutional architectures on FPGA
S Liu, H Fan, X Niu, H Ng, Y Chu, W Luk
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 11 (3), 1-22, 2018
712018
A real-time object detection accelerator with compressed SSDLite on FPGA
H Fan, S Liu, M Ferianc, HC Ng, Z Que, S Liu, X Niu, W Luk
2018 International conference on field-programmable technology (FPT), 14-21, 2018
672018
Towards efficient convolutional neural network for domain-specific applications on FPGA
R Zhao, HC Ng, W Luk, X Niu
2018 28th International Conference on Field Programmable Logic and …, 2018
502018
F-E3D: FPGA-based acceleration of an efficient 3D convolutional neural network for human action recognition
H Fan, C Luo, C Zeng, M Ferianc, Z Que, S Liu, X Niu, W Luk
2019 IEEE 30th international conference on Application-specific Systems …, 2019
432019
Real-time anomaly detection for flight testing using AutoEncoder and LSTM
Z Que, Y Liu, C Guo, X Niu, Y Zhu, W Luk
2019 international conference on field-programmable technology (ICFPT), 379-382, 2019
402019
Automatic Optimising CNN with Depthwise Separable Convolution on FPGA: (Abstact Only)
R Zhao, X Niu, W Luk
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
402018
Hardware acceleration for machine learning
R Zhao, W Luk, X Niu, H Shi, H Wang
2017 IEEE computer society annual symposium on VLSI (ISVLSI), 645-650, 2017
402017
Exploiting run-time reconfiguration in stencil computation
X Niu, Q Jin, W Luk, Q Liu, O Pell
22nd International Conference on Field Programmable Logic and Applications …, 2012
372012
F-C3D: FPGA-based 3-dimensional convolutional neural network
H Fan, X Niu, Q Liu, W Luk
2017 27th International Conference on Field Programmable Logic and …, 2017
352017
On the use of programmable hardware and reduced numerical precision in Earth‐system modeling
PD Düben, FP Russell, X Niu, W Luk, TN Palmer
Journal of Advances in Modeling Earth Systems 7 (3), 1393-1408, 2015
352015
Reconfiguring distributed applications in FPGA accelerated cluster with wireless networking
XY Niu, KH Tsoi, W Luk
2011 21st International Conference on Field Programmable Logic and …, 2011
292011
Mapping large LSTMs to FPGAs with weight reuse
Z Que, Y Zhu, H Fan, J Meng, X Niu, W Luk
Journal of Signal Processing Systems 92, 965-979, 2020
262020
Reconfigurable acceleration of 3D-CNNs for human action recognition with block floating-point representation
H Fan, HC Ng, S Liu, Z Que, X Niu, W Luk
2018 28th International Conference on Field Programmable Logic and …, 2018
262018
Exploiting the chaotic behaviour of atmospheric models with reconfigurable architectures
FP Russell, PD Düben, X Niu, W Luk, TN Palmer
Computer Physics Communications 221, 160-173, 2017
262017
Optimizing reconfigurable recurrent neural networks
Z Que, H Nakahara, E Nurvitadhi, H Fan, C Zeng, J Meng, X Niu, W Luk
2020 IEEE 28th Annual International Symposium on Field-Programmable Custom …, 2020
252020
Automating elimination of idle functions by runtime reconfiguration
X Niu, TCP Chau, Q Jin, W Luk, Q Liu, O Pell
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 8 (3), 1-28, 2015
252015
Heterogeneous reconfigurable system for adaptive particle filters in real-time applications
TCP Chau, X Niu, A Eele, W Luk, PYK Cheung, J Maciejowski
Reconfigurable Computing: Architectures, Tools and Applications: 9th …, 2013
212013
Efficient weight reuse for large LSTMs
Z Que, T Nugent, S Liu, L Tian, X Niu, Y Zhu, W Luk
2019 IEEE 30th International Conference on Application-specific Systems …, 2019
202019
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