| 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 | 427 | 2020 |
| 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 | 204 | 2014 |
| Are {FPGAs} suitable for edge computing? S Biookaghazadeh, M Zhao, F Ren USENIX Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018 | 127 | 2018 |
| 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 | 121 | 2014 |
| 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 | 117 | 2020 |
| 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 | 111 | 2018 |
| 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 | 107 | 2018 |
| 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 | 98 | 2012 |
| 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 | 91 | 2010 |
| 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 | 72 | 2018 |
| 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 | 71 | 2018 |
| 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 | 70 | 2018 |
| 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 | 65 | 2022 |
| 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 | 54 | 2017 |
| 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 | 47 | 2017 |
| 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 | 46 | 2012 |
| 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 | 42 | 2013 |
| Light-weight retinanet for object detection Y Li, F Ren arXiv preprint arXiv:1905.10011, 2019 | 37 | 2019 |
| 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 | 36 | 2016 |
| 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 | 32 | 2016 |
Kai XUNVIDIAVerified email at nvidia.com
