48 citations · 64 across the 4 of their papers we have counts for
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cs.CR2023
PowerGAN: A Machine Learning Approach for Power Side-Channel Attack on Compute-in-Memory Accelerators
Ziyu Wang, Yuting Wu, Yongmo Park +4
Analog compute-in-memory (CIM) systems are promising for deep neural network (DNN) inference acceleration due to their energy efficiency and high throughput. However, as the use of…
cs.AR2023★ 48 cited
Bulk-Switching Memristor-based Compute-In-Memory Module for Deep Neural Network Training
Yuting Wu, Qiwen Wang, Ziyu Wang +5
The need for deep neural network (DNN) models with higher performance and better functionality leads to the proliferation of very large models. Model training, however, requires in…
cs.CV2023★ 16 cited
RN-Net: Reservoir Nodes-Enabled Neuromorphic Vision Sensing Network
Sangmin Yoo, Eric Yeu-Jer Lee, Ziyu Wang +2
Event-based cameras are inspired by the sparse and asynchronous spike representation of the biological visual system. However, processing the event data requires either using expen…