| 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 | 140 | 2014 |
| 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 | 89 | 2014 |
| 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 | 89 | 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 | 81 | 2010 |
| 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 | 48 | 2018 |
| 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 | 44 | 2012 |
| Are fpgas suitable for edge computing? S Biookaghazadeh, M Zhao, F Ren {USENIX} Workshop on Hot Topics in Edge Computing (HotEdge 18), 2018 | 43 | 2018 |
| 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 | 35 | 2017 |
| 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 | 35 | 2013 |
| 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 | 29 | 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 | 26 | 2018 |
| See UV on your skin: an ultraviolet sensing and visualization system X Zhang, W Xu, MC Huang, N Amini, F Ren Proceedings of the 8th International Conference on Body Area Networks, 22-28, 2013 | 25 | 2013 |
| A Configurable 12–237 kS/s 12.8 mW Sparse-Approximation Engine for Mobile Data Aggregation of Compressively Sampled Physiological Signals F Ren, D Markovic Journal of Solid-State Circuits, 2015 | 23 | 2015 |
| mCOPD: mobile phone based lung function diagnosis and exercise system for COPD W Xu, MC Huang, JJ Liu, F Ren, X Shen, X Liu, M Sarrafzadeh Proceedings of the 6th International Conference on PErvasive Technologies …, 2013 | 22 | 2013 |
| 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 | 20 | 2016 |
| Reference calibration of body-voltage sensing circuit for high-speed STT-RAMs F Ren, H Park, CKK Yang, D Marković IEEE Transactions on Circuits and Systems I: Regular Papers 60 (11), 2932-2939, 2013 | 20 | 2013 |
| 18.5 a configurable 12-to-237ks/s 12.8 mw sparse-approximation engine for mobile exg data aggregation F Ren, D Marković 2015 IEEE International Solid-State Circuits Conference-(ISSCC) Digest of …, 2015 | 19 | 2015 |
| Energy-performance characterization of CMOS/magnetic tunnel junction (MTJ) hybrid logic circuits F Ren University of California, Los Angeles, 2010 | 18 | 2010 |
| 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 | 15 | 2016 |
| Body voltage sensing based short pulse reading circuit KL Wang, CKK Yang, D Markovic, F Ren US Patent 8,917,562, 2014 | 14 | 2014 |
Dejan MarkovicProfessor of Electrical Engineering, UCLAVerified email at ee.ucla.edu
