Peng Yao
Peng Yao
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Fully hardware-implemented memristor convolutional neural network
P Yao, H Wu, B Gao, J Tang, Q Zhang, W Zhang, JJ Yang, H Qian
Nature 577 (7792), 641-646, 2020
Face classification using electronic synapses
P Yao, H Wu, B Gao, SB Eryilmaz, X Huang, W Zhang, Q Zhang, N Deng, ...
Nature communications 8 (1), 1-8, 2017
Neuro-inspired computing chips
W Zhang, B Gao, J Tang, P Yao, S Yu, MF Chang, HJ Yoo, H Qian, H Wu
Nature electronics 3 (7), 371-382, 2020
33.2 A fully integrated analog ReRAM based 78.4 TOPS/W compute-in-memory chip with fully parallel MAC computing
Q Liu, B Gao, P Yao, D Wu, J Chen, Y Pang, W Zhang, Y Liao, CX Xue, ...
2020 IEEE International Solid-State Circuits Conference-(ISSCC), 500-502, 2020
A methodology to improve linearity of analog RRAM for neuromorphic computing
W Wu, H Wu, B Gao, P Yao, X Zhang, X Peng, S Yu, H Qian
2018 IEEE Symposium on VLSI Technology, 103-104, 2018
Power-efficient neural network with artificial dendrites
X Li, J Tang, Q Zhang, B Gao, JJ Yang, S Song, W Wu, W Zhang, P Yao, ...
Nature Nanotechnology 15 (9), 776-782, 2020
Device and circuit optimization of RRAM for neuromorphic computing
H Wu, P Yao, B Gao, W Wu, Q Zhang, W Zhang, N Deng, D Wu, ...
2017 IEEE International Electron Devices Meeting (IEDM), 11.5. 1-11.5. 4, 2017
2022 roadmap on neuromorphic computing and engineering
DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ...
Neuromorphic Computing and Engineering 2 (2), 022501, 2022
Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces
Z Liu, J Tang, B Gao, P Yao, X Li, D Liu, Y Zhou, H Qian, B Hong, H Wu
Nature communications 11 (1), 1-9, 2020
Characterizing endurance degradation of incremental switching in analog RRAM for neuromorphic systems
M Zhao, H Wu, B Gao, X Sun, Y Liu, P Yao, Y Xi, X Li, Q Zhang, K Wang, ...
2018 IEEE International Electron Devices Meeting (IEDM), 20.2. 1-20.2. 4, 2018
Modeling disorder effect of the oxygen vacancy distribution in filamentary analog RRAM for neuromorphic computing
B Gao, H Wu, W Wu, X Wang, P Yao, Y Xi, W Zhang, N Deng, P Huang, ...
2017 IEEE International Electron Devices Meeting (IEDM), 4.4. 1-4.4. 4, 2017
Associative Memory for Image Recovery with a High‐Performance Memristor Array
Y Zhou, H Wu, B Gao, W Wu, Y Xi, P Yao, S Zhang, Q Zhang, H Qian
Advanced Functional Materials 29 (30), 1900155, 2019
Sign backpropagation: an on-chip learning algorithm for analog RRAM neuromorphic computing systems
Q Zhang, H Wu, P Yao, W Zhang, B Gao, N Deng, H Qian
Neural Networks 108, 217-223, 2018
Integration and co-design of memristive devices and algorithms for artificial intelligence
W Wang, W Song, P Yao, Y Li, J Van Nostrand, Q Qiu, D Ielmini, JJ Yang
Iscience 23 (12), 101809, 2020
Multichannel parallel processing of neural signals in memristor arrays
Z Liu, J Tang, B Gao, X Li, P Yao, Y Lin, D Liu, B Hong, H Qian, H Wu
Science advances 6 (41), eabc4797, 2020
Demonstration of generative adversarial network by intrinsic random noises of analog rram devices
Y Lin, H Wu, B Gao, P Yao, W Wu, Q Zhang, X Zhang, X Li, F Li, J Lu, G Li, ...
2018 IEEE International Electron Devices Meeting (IEDM), 3.4. 1-3.4. 4, 2018
A compact model of analog RRAM with device and array nonideal effects for neuromorphic systems
Y Liao, B Gao, F Xu, P Yao, J Chen, W Zhang, J Tang, H Wu, H Qian
IEEE Transactions on Electron Devices 67 (4), 1593-1599, 2020
Bayesian neural network realization by exploiting inherent stochastic characteristics of analog rram
Y Lin, Q Zhang, J Tang, B Gao, C Li, P Yao, Z Liu, J Zhu, J Lu, XS Hu, ...
2019 IEEE International Electron Devices Meeting (IEDM), 14.6. 1-14.6. 4, 2019
Multiplication on the edge
H Wu, P Yao, B Gao, H Qian
Nature Electronics 1 (1), 8-9, 2018
A high-speed and high-reliability TRNG based on analog RRAM for IoT security application
B Lin, B Gao, Y Pang, P Yao, D Wu, H He, J Tang, H Qian, H Wu
2019 IEEE International Electron Devices Meeting (IEDM), 14.8. 1-14.8. 4, 2019
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