Li, Yunning
University of Massachusetts Amherst
7 papers on CoChatORCID 0000-0002-8460-5968
Most cited papers
- Verified
Analogue signal and image processing with large memristor crossbars
Li, C., Hu, M., Li, Y., Jiang, H., Ge, N., Montgomery, E., Zhang, J., Song, W., Dávila, N., Graves, C. E., et al. (2017) · Nature Electronics
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 1,292
- Verified
Fully memristive neural networks for pattern classification with unsupervised learning
Wang, Z., Joshi, S., Savel’ev, S., Song, W., Midya, R., Li, Y., Rao, M., Yan, P., Asapu, S., Zhuo, Y., et al. (2018) · Nature Electronics
Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing
Cited by 1,106
- Verified
Efficient and self-adaptive in-situ learning in multilayer memristor neural networks
Li, C., Belkin, D., Li, Y., Yan, P., Hu, M., Ge, N., Jiang, H., Montgomery, E., Lin, P., Wang, Z., et al. (2018) · Nature Communications
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 931
- Verified
Memristor‐Based Analog Computation and Neural Network Classification with a Dot Product Engine
Hu, M., Graves, C. E., Li, C., Li, Y., Ge, N., Montgomery, E., Davila, N., Jiang, H., Williams, R. S., Yang, J. J., et al. (2018) · Advanced Materials
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 751
- Verified
A novel true random number generator based on a stochastic diffusive memristor
Jiang, H., Belkin, D., Savel’ev, S. E., Lin, S., Wang, Z., Li, Y., Joshi, S., Midya, R., Li, C., Rao, M., et al. (2017) · Nature Communications
Advanced Memory and Neural ComputingPhysical Unclonable Functions (PUFs) and Hardware Security
Cited by 459
- Verified
Three-dimensional memristor circuits as complex neural networks
Lin, P., Li, C., Wang, Z., Li, Y., Jiang, H., Song, W., Rao, M., Zhuo, Y., Upadhyay, N. K., Barnell, M., et al. (2020) · Nature Electronics
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 375
- Verified
In situ training of feed-forward and recurrent convolutional memristor networks
Wang, Z., Li, C., Lin, P., Rao, M., Nie, Y., Song, W., Qiu, Q., Li, Y., Yan, P., Strachan, J. P., et al. (2019) · Nature Machine Intelligence
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 307
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