Wang, Zhongrui
University of Hong Kong
17 papers on CoChatORCID 0000-0003-2264-0677
Most cited papers
- Verified
Memristors with diffusive dynamics as synaptic emulators for neuromorphic computing
Wang, Z., Joshi, S., Savel’ev, S. E., Jiang, H., Midya, R., Lin, P., Hu, M., Ge, N., Strachan, J. P., Li, Z., et al. (2017) · Nature Materials
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 2,358
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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
Resistive switching materials for information processing
Wang, Z., Wu, H., Burr, G. W., Hwang, C. S., Wang, K. L., Xia, Q., & Yang, J. J. (2020) · Nature Reviews Materials
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 1,214
- 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
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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
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Parallel programming of an ionic floating-gate memory array for scalable neuromorphic computing
Fuller, E. J., Keene, S. T., Melianas, A., Wang, Z., Agarwal, S., Li, Y., Tuchman, Y., James, C. D., Marinella, M. J., Yang, J. J., et al. (2019) · Science
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 756
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Thousands of conductance levels in memristors monolithically integrated on CMOS
Yang, J., Rao, M., Tang, H., Wu, J.-B., Song, W., Zhang, M., Yin, W., Zhuo, Y., Kiani, F., Chen, B., et al. (2022) · Nature
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 504
- 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
- Verified
Reservoir Computing Using Diffusive Memristors
Midya, R., Wang, Z., Asapu, S., Zhang, X., Rao, M., Song, W., Zhuo, Y., Upadhyay, N., Xia, Q., & Yang, J. J. (2019) · Advanced Intelligent Systems
Neural Networks and Reservoir ComputingAdvanced Memory and Neural Computing
Cited by 279
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Memristive Crossbar Arrays for Storage and Computing Applications
Li, H., Wang, S., Zhang, X., Wang, W., Yang, R., Sun, Z., Feng, W., Lin, P., Wang, Z., Sun, L., et al. (2021) · Advanced Intelligent Systems
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 205
- Verified
A fully hardware-based memristive multilayer neural network
Kiani, F., Yin, J., Wang, Z., Yang, J. J., & Xia, Q. (2021) · Science Advances
Advanced Memory and Neural ComputingNeural Networks and Applications
Cited by 97
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Truly Electroforming‐Free and Low‐Energy Memristors with Preconditioned Conductive Tunneling Paths
Yoon, J. H., Zhang, J., Ren, X., Wang, Z., Wu, H., Li, Z., Barnell, M., Wu, Q., Lauhon, L. J., Xia, Q., et al. (2017) · Advanced Functional Materials
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 95
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Echo state graph neural networks with analogue random resistive memory arrays
Wang, S., Li, Y., Wang, D., Zhang, W., Chen, X., Dong, D., Wang, S., Zhang, X., Lin, P., Gallicchio, C., et al. (2023) · Nature Machine Intelligence
Advanced Memory and Neural ComputingNeural Networks and Reservoir Computing
Cited by 84
- Verified
A memristive deep belief neural network based on silicon synapses
Wang, W., Danial, L., Li, Y., Herbelin, E., Pikhay, E., Roizin, Y., Hoffer, B., Wang, Z., & Kvatinsky, S. (2022) · Nature Electronics
Advanced Memory and Neural ComputingFerroelectric and Negative Capacitance Devices
Cited by 66
- Verified
An ADC-Less RRAM-Based Computing-in-Memory Macro With Binary CNN for Efficient Edge AI
Li, Y., Chen, J., Wang, L., Zhang, W., Guo, Z., Wang, J., Han, Y., Li, Z., Wang, F., Dou, C., et al. (2023) · IEEE Transactions on Circuits and Systems II: Express Briefs
Advanced Memory and Neural ComputingAdvanced Neural Network Applications
Cited by 38
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