Yao, Peng

Fully hardware-implemented memristor convolutional neural network

Yao, P., Wu, H., Gao, B., Tang, J., Zhang, Q., Zhang, W., Yang, J. J., & Qian, H. (2020) · Nature

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

Cited by 2,179

Face classification using electronic synapses

Yao, P., Wu, H., Gao, B., Eryilmaz, S. B., Huang, X., Zhang, W., Zhang, Q., Deng, N., Shi, L., Wong, H.-S. P., et al. (2017) · Nature Communications

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

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Neuro-inspired computing chips

Zhang, W., Gao, B., Tang, J., Yao, P., Yu, S., Chang, M.-F., Yoo, H.-J., Qian, H., & Wu, H. (2020) · Nature Electronics

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 892

A memristor-based analogue reservoir computing system for real-time and power-efficient signal processing

Zhong, Y., Tang, J., Li, X., Liang, X., Liu, Z., Li, Y., Xi, Y., Yao, P., Hao, Z., Gao, B., et al. (2022) · Nature Electronics

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

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33.2 A Fully Integrated Analog ReRAM Based 78.4TOPS/W Compute-In-Memory Chip with Fully Parallel MAC Computing

Liu, Q., Gao, B., Yao, P., Wu, D., Chen, J., Pang, Y., Zhang, W., Liao, Y., Xue, C.-X., Chen, W.-H., et al. (2020) · 2020 IEEE International Solid- State Circuits Conference - (ISSCC)

Advanced Memory and Neural ComputingAnalog and Mixed-Signal Circuit Design

Cited by 308

A Methodology to Improve Linearity of Analog RRAM for Neuromorphic Computing

Wu, W., Wu, H., Gao, B., Yao, P., Zhang, X., Peng, X., Yu, S., & Qian, H. (2018) · 2018 IEEE Symposium on VLSI Technology

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 197

A Compact Model of Analog RRAM With Device and Array Nonideal Effects for Neuromorphic Systems

Liao, Y., Gao, B., Xu, F., Yao, P., Chen, J., Zhang, W., Tang, J., Wu, H., & Qian, H. (2020) · IEEE Transactions on Electron Devices

Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices

Cited by 53

Multiplication on the edge

Wu, H., Yao, P., Gao, B., & Qian, H. (2018) · Nature Electronics

Advanced Memory and Neural ComputingLow-power high-performance VLSI design

Cited by 27

2022 roadmap on neuromorphic computing and engineering

Christensen, D. V., Dittmann, R., Linares-Barranco, B., Sebastian, A., Le Gallo, M., Redaelli, A., Slesazeck, S., Mikolajick, T., Spiga, S., Menzel, S., et al. (2022) · Neuromorphic Computing and Engineering

Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing

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