Wei, Shaojun

A 1.06-to-5.09 TOPS/W reconfigurable hybrid-neural-network processor for deep learning applications

Yin, S., Ouyang, P., Tang, S., Tu, F., Li, X., Liu, L., & Wei, S. (2017) · 2017 Symposium on VLSI Circuits

Advanced Memory and Neural ComputingEmbedded Systems Design Techniques

Cited by 93

A Multilevel Cell STT-MRAM-Based Computing In-Memory Accelerator for Binary Convolutional Neural Network

Pan, Y., Ouyang, P., Zhao, Y., Kang, W., Yin, S., Zhang, Y., Zhao, W., & Wei, S. (2018) · IEEE Transactions on Magnetics

Advanced Memory and Neural ComputingMagnetic properties of thin films

Cited by 89

A 28nm 27.5TOPS/W Approximate-Computing-Based Transformer Processor with Asymptotic Sparsity Speculating and Out-of-Order Computing

Wang, Y., Qin, Y., Deng, D., Wei, J., Zhou, Y., Fan, Y., Chen, T., Sun, H., Liu, L., Wei, S., et al. (2022) · 2022 IEEE International Solid- State Circuits Conference (ISSCC)

Low-power high-performance VLSI designAdvanced Neural Network Applications

Cited by 89