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Shuanglong Liu
Shuanglong Liu
Professor, Hunan Normal University
Verified email at hunnu.edu.cn - Homepage
Title
Cited by
Cited by
Year
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 Deep Neural Network Training by FPGA-Based Batch-Level Parallelism
C Luo, MK Sit, H Fan, S Liu, W Luk, C Guo
2019 IEEE 27th Annual International Symposium on Field-Programmable Custom …, 2019
572019
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
Towards an efficient accelerator for DNN-based remote sensing image segmentation on FPGAs
S Liu, W Luk
2019 29th International Conference on Field Programmable Logic and …, 2019
362019
Reconfigurable acceleration of genetic sequence alignment: A survey of two decades of efforts
HC Ng, S Liu, W Luk
2017 27th International Conference on Field Programmable Logic and …, 2017
342017
Parallel resampling for particle filters on FPGAs
S Liu, G Mingas, CS Bouganis
2014 International Conference on Field-Programmable Technology (FPT), 191-198, 2014
272014
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
An unbiased mcmc fpga-based accelerator in the land of custom precision arithmetic
S Liu, G Mingas, CS Bouganis
IEEE Transactions on Computers 66 (5), 745-758, 2016
262016
An exact MCMC accelerator under custom precision regimes
S Liu, G Mingas, CS Bouganis
2015 International Conference on Field Programmable Technology (FPT), 120-127, 2015
212015
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
Toward full-stack acceleration of deep convolutional neural networks on FPGAs
S Liu, H Fan, M Ferianc, X Niu, H Shi, W Luk
IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3974-3987, 2021
192021
Memory-efficient architecture for accelerating generative networks on FPGA
S Liu, C Zeng, H Fan, HC Ng, J Meng, Z Que, X Niu, W Luk
2018 International Conference on Field-Programmable Technology (FPT), 30-37, 2018
182018
Hardware Compilation of Deep Neural Networks: An Overview
R Zhao, S Liu, N Ho-Cheung, E Wang, JJ Davis, X Niu, X Wang, H Shi, ...
The 29th Annual IEEE International Conference on Application-specific …, 2018
172018
Research on acoustic source localization using time difference of arrival measurements
S Liu, C Zhang, Y Huang
Proceedings of 2012 International Conference on Measurement, Information and …, 2012
162012
Optimizing CNN-based hyperspectral image classification on FPGAs
S Liu, RSW Chu, X Wang, W Luk
International Symposium on Applied Reconfigurable Computing, 17-31, 2019
152019
FPGA-based acceleration for Bayesian convolutional neural networks
H Fan, M Ferianc, Z Que, S Liu, X Niu, MRD Rodrigues, W Luk
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2022
132022
Optimizing FPGA-based CNN accelerator using differentiable neural architecture search
H Fan, M Ferianc, S Liu, Z Que, X Niu, W Luk
2020 IEEE 38th International Conference on Computer Design (ICCD), 465-468, 2020
112020
Adam: Automated design analysis and merging for speeding up fpga development
HC Ng, S Liu, W Luk
Proceedings of the 2018 ACM/SIGDA International Symposium on Field …, 2018
102018
Improving performance estimation for design space exploration for convolutional neural network accelerators
M Ferianc, H Fan, D Manocha, H Zhou, S Liu, X Niu, W Luk
Electronics 10 (4), 520, 2021
92021
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Articles 1–20