| 14.3 15fJ/b static physically unclonable functions for secure chip identification with< 2% native bit instability and 140× Inter/Intra PUF hamming distance separation in 65nm A Alvarez, W Zhao, M Alioto 2015 IEEE International Solid-State Circuits Conference-(ISSCC) Digest of …, 2015 | 82 | 2015 |
| A 65-nm 25.1-ns 30.7-fJ robust subthreshold level shifter with wide conversion range W Zhao, AB Alvarez, Y Ha IEEE Transactions on Circuits and Systems II: Express Briefs 62 (7), 671-675, 2015 | 51 | 2015 |
| Static physically unclonable functions for secure chip identification with 1.9–5.8% native bit instability at 0.6–1 V and 15 fJ/bit in 65 nm AB Alvarez, W Zhao, M Alioto IEEE Journal of Solid-State Circuits 51 (3), 763-775, 2016 | 48 | 2016 |
| Novel self-body-biasing and statistical design for near-threshold circuits with ultra energy-efficient AES as case study W Zhao, Y Ha, M Alioto IEEE transactions on very large scale integration (VLSI) systems 23 (8 …, 2014 | 31 | 2014 |
| AES architectures for minimum-energy operation and silicon demonstration in 65nm with lowest energy per encryption W Zhao, Y Ha, M Alioto 2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2349-2352, 2015 | 28 | 2015 |
| On-chip neural data compression based on compressed sensing with sparse sensing matrices W Zhao, B Sun, T Wu, Z Yang IEEE transactions on biomedical circuits and systems 12 (1), 242-254, 2018 | 16 | 2018 |
| Training-free compressed sensing for wireless neural recording using analysis model and group weighted-minimization B Sun, W Zhao, X Zhu Journal of neural engineering 14 (3), 036018, 2017 | 16 | 2017 |
| Neuronix enables continuous, simultaneous neural recording and electrical microstimulation Z Yang, J Xu, AT Nguyen, T Wu, W Zhao, W Tam 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 16 | 2016 |
| Deep compressive autoencoder for action potential compression in large-scale neural recording T Wu, W Zhao, E Keefer, Z Yang Journal of neural engineering 15 (6), 066019, 2018 | 12 | 2018 |
| A streaming PCA VLSI chip for neural data compression T Wu, W Zhao, H Guo, HH Lim, Z Yang IEEE transactions on biomedical circuits and systems 11 (6), 1290-1302, 2017 | 11 | 2017 |
| A 0.4 V 280-nW frequency reference-less nearly all-digital hybrid domain temperature sensor W Zhao, R Pan, Y Ha, Z Yang 2014 IEEE Asian Solid-State Circuits Conference (A-SSCC), 301-304, 2014 | 10 | 2014 |
| A low-noise, wireless, frequency-shaping neural recorder J Xu, AT Nguyen, W Zhao, H Guo, T Wu, H Wiggins, EW Keefer, H Lim, ... IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (2 …, 2018 | 7 | 2018 |
| BVF: enabling significant on-chip power savings via bit-value-favor for throughput processors A Li, W Zhao, SL Song Proceedings of the 50th Annual IEEE/ACM International Symposium on …, 2017 | 7 | 2017 |
| A programmable fully-integrated microstimulator for neural implants and instrumentation AT Nguyen, J Xu, W Tam, W Zhao, T Wu, Z Yang 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 472-475, 2016 | 7 | 2016 |
| Hardware efficient, deterministic QCAC matrix based compressed sensing encoder architecture for wireless neural recording application W Zhao, B Sun, T Wu, Z Yang 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 212-215, 2016 | 4 | 2016 |
| A streaming PCA based VLSI chip for neural data compression T Wu, W Zhao, H Guo, H Lim, Z Yang 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 192-195, 2016 | 4 | 2016 |
| Robustness-driven energy-efficient ultra-low voltage standard cell design with intra-cell mixed-Vt methodology W Zhao, Y Ha, CH Hoo, AB Alvarez International Symposium on Low Power Electronics and Design (ISLPED), 323-328, 2013 | 4 | 2013 |
| Training-free compressed sensing for wireless neural recording B Sun, Y Ni, W Zhao 2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 18-21, 2016 | 3 | 2016 |
| A bioelectric neural interface towards intuitive prosthetic control for amputees AT Nguyen, J Xu, M Jiang, DK Luu, T Wu, W Tam, W Zhao, MW Drealan, ... Journal of neural engineering 17 (6), 066001, 2020 | 2 | 2020 |
| A lightweight deep compressive model for large-scale spike compression T Wu, W Zhao, E Keefer, Z Yang 2018 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-4, 2018 | 2 | 2018 |
Yajun HaProfessor, School of Information Science & Technology, ShanghaiTech University, ChinaVerified email at shanghaitech.edu.cn
