1 citations · 1 across the 3 of their papers we have counts for
3 papers
eess.SP2019
An Energy-Efficient Mixed-Signal Parallel Multiply-Accumulate (MAC) Engine Based on Stochastic Computing
Xinyue Zhang, Jiahao Song, Yuan Wang +4
Convolutional neural networks (CNN) have achieved excellent performance on various tasks, but deploying CNN to edge is constrained by the high energy consumption of convolution ope…
cs.OH2019★ 1 cited
New-Generation Design-Technology Co-Optimization (DTCO): Machine-Learning Assisted Modeling Framework
Zhe Zhang, Runsheng Wang, Cheng Chen +6
In this paper, we propose a machine-learning assisted modeling framework in design-technology co-optimization (DTCO) flow. Neural network (NN) based surrogate model is used as an a…
eess.SP2019
Memory System Designed for Multiply-Accumulate (MAC) Engine Based on Stochastic Computing
Xinyue Zhang, Yuan Wang, Yawen Zhang +5
Convolutional neural network (CNN) achieves excellent performance on fascinating tasks such as image recognition and natural language processing at the cost of high power consumpti…