Hu, Miao

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

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

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

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

ISAAC: A Convolutional Neural Network Accelerator with In-Situ Analog Arithmetic in Crossbars

Shafiee, A., Nag, A., Muralimanohar, N., Balasubramonian, R., Strachan, J. P., Hu, M., Williams, R. S., & Srikumar, V. (2016) · 2016 ACM/IEEE 43rd Annual International Symposium on Computer Architecture (ISCA)

Advanced Memory and Neural ComputingAdvanced Neural Network Applications

Cited by 775

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

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

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

LLM-Boofuzz: Generation-Based Black-Box Fuzzing for Network Protocols via LLMs

Wang, T., Li, Y., Pan, Z., Chen, Q., Li, Z., Zhang, Y., Shen, Y., Hu, M., & Chen, Q. (2025) · Electronics

Software Testing and Debugging TechniquesNetwork Security and Intrusion Detection

Cited by 5