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Yixing Li
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Squeezedtext: A real-time scene text recognition by binary convolutional encoder-decoder network
Z Liu, Y Li, F Ren, WL Goh, H Yu
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
1052018
A GPU-outperforming FPGA accelerator architecture for binary convolutional neural networks
Y Li, Z Liu, K Xu, H Yu, F Ren
ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-16, 2018
982018
A 7.663-TOPS 8.2-W Energy-efficient FPGA Accelerator for Binary Convolutional Neural Networks
Y Li, Z Liu, K Xu, H Yu, F Ren
FPGA, 290-291, 2017
522017
Light-Weight RetinaNet for Object Detection
Y Li, F Ren
arXiv preprint arXiv:1905.10011, 2019
47*2019
Recognizing terrain features on terrestrial surface using a deep learning model: an example with crater detection
W Li, B Zhou, CY Hsu, Y Li, F Ren
Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning …, 2017
442017
An energy-efficient compressive sensing framework incorporating online dictionary learning for long-term wireless health monitoring
K Xu, Y Li, F Ren
2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016
312016
A 34-FPS 698-GOP/s/W Binarized Deep Neural Network-Based Natural Scene Text Interpretation Accelerator for Mobile Edge Computing
Y Li, Z Liu, W Liu, Y Jiang, Y Wang, WL Goh, H Yu, F Ren
IEEE Transactions on Industrial Electronics 66 (9), 7407-7416, 2018
222018
A data-driven compressive sensing framework tailored for energy-efficient wearable sensing
K Xu, Y Li, F Ren
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
202017
Build a compact binary neural network through bit-level sensitivity and data pruning
Y Li, S Zhang, X Zhou, F Ren
Neurocomputing 398, 45-54, 2020
142020
BNN Pruning: Pruning Binary Neural Network Guided by Weight Flipping Frequency
Y Li, F Ren
2020 21st International Symposium on Quality Electronic Design (ISQED), 306-311, 2020
112020
A Binary Convolutional Encoder-Decoder Network for Real-Time Natural Scene Text Processing
Z Liu, Y Li, F Ren, H Yu
arXiv preprint arXiv:1612.03630, 2016
112016
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