Παρακολούθηση
Fengbo Ren
Fengbo Ren
Associate Professor, Arizona State University
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα asu.edu - Αρχική σελίδα
Τίτλος
Παρατίθεται από
Παρατίθεται από
Έτος
Learning in the frequency domain
K Xu, M Qin, F Sun, Y Wang, YK Chen, F Ren
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020
5142020
Healable capacitive touch screen sensors based on transparent composite electrodes comprising silver nanowires and a furan/maleimide Diels–Alder cycloaddition polymer
J Li, J Liang, L Li, F Ren, W Hu, J Li, S Qi, Q Pei
ACS nano 8 (12), 12874-12882, 2014
2042014
Are {FPGAs} suitable for edge computing?
S Biookaghazadeh, M Zhao, F Ren
USENIX workshop on hot topics in edge computing (HotEdge 18), 2018
1362018
A review of algorithm & hardware design for AI-based biomedical applications
Y Wei, J Zhou, Y Wang, Y Liu, Q Liu, J Luo, C Wang, F Ren, L Huang
IEEE transactions on biomedical circuits and systems 14 (2), 145-163, 2020
1302020
A scalable sparse matrix-vector multiplication kernel for energy-efficient sparse-blas on FPGAs
R Dorrance, F Ren, D Marković
Proceedings of the 2014 ACM/SIGDA international symposium on Field …, 2014
1252014
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
1122018
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
1002018
Scalability and design-space analysis of a 1T-1MTJ memory cell for STT-RAMs
R Dorrance, F Ren, Y Toriyama, AA Hafez, CKK Yang, D Markovic
IEEE Transactions on Electron Devices 59 (4), 878-887, 2012
992012
True energy-performance analysis of the MTJ-based logic-in-memory architecture (1-bit full adder)
F Ren, D Markovic
IEEE transactions on electron devices 57 (5), 1023-1028, 2010
922010
Stpls3d: A large-scale synthetic and real aerial photogrammetry 3d point cloud dataset
M Chen, Q Hu, Z Yu, H Thomas, A Feng, Y Hou, K McCullough, F Ren, ...
arXiv preprint arXiv:2203.09065, 2022
892022
A deep learning approach for targeted contrast-enhanced ultrasound based prostate cancer detection
Y Feng, F Yang, X Zhou, Y Guo, F Tang, F Ren, J Guo, S Ji
IEEE/ACM transactions on computational biology and bioinformatics 16 (6 …, 2018
812018
CSVideoNet: A real-time end-to-end learning framework for high-frame-rate video compressive sensing
K Xu, F Ren
2018 IEEE winter conference on applications of computer vision (WACV), 1680-1688, 2018
792018
Lapran: A scalable laplacian pyramid reconstructive adversarial network for flexible compressive sensing reconstruction
K Xu, Z Zhang, F Ren
Proceedings of the European Conference on Computer Vision (ECCV), 485-500, 2018
722018
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
532017
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
502017
A body-voltage-sensing-based short pulse reading circuit for spin-torque transfer RAMs (STT-RAMs)
F Ren, H Park, R Dorrance, Y Toriyama, CKK Yang, D Marković
Thirteenth International Symposium on Quality Electronic Design (ISQED), 275-282, 2012
472012
Light-weight retinanet for object detection
Y Li, F Ren
arXiv preprint arXiv:1905.10011, 2019
462019
A single-precision compressive sensing signal reconstruction engine on FPGAs
F Ren, R Dorrace, W Xu, D Marković
2013 23rd International Conference on Field programmable Logic and …, 2013
432013
A survey of system architectures and techniques for fpga virtualization
MH Quraishi, EB Tavakoli, F Ren
IEEE Transactions on Parallel and Distributed Systems 32 (9), 2216-2230, 2021
392021
Data-driven sampling matrix boolean optimization for energy-efficient biomedical signal acquisition by compressive sensing
Y Wang, X Li, K Xu, F Ren, H Yu
IEEE transactions on biomedical circuits and systems 11 (2), 255-266, 2016
372016
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