most citedTraining Deep Neural Networks Using Posit Number System

6 citations · 17 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2019★ 6 cited

Training Deep Neural Networks Using Posit Number System

Jinming Lu, Siyuan Lu, Zhisheng Wang +4

With the increasing size of Deep Neural Network (DNN) models, the high memory space requirements and computational complexity have become an obstacle for efficient DNN implementati…

cs.AR2017★ 4 cited

A Streaming Accelerator for Deep Convolutional Neural Networks with Image and Feature Decomposition for Resource-limited System Applications

Yuan Du, Li Du, Yilei Li +2

Deep convolutional neural networks (CNN) are widely used in modern artificial intelligence (AI) and smart vision systems but also limited by computation latency, throughput, and en…

cs.ET2017★ 3 cited

An Analog Neural Network Computing Engine using CMOS-Compatible Charge-Trap-Transistor (CTT)

Yuan Du, Li Du, Xuefeng Gu +8

An analog neural network computing engine based on CMOS-compatible charge-trap transistor (CTT) is proposed in this paper. CTT devices are used as analog multipliers. Compared to d…

cs.ET2017★ 2 cited

A/D Converter Architectures for Energy-Efficient Vision Processor

Li Du, Yilei Li

AI applications have emerged in current world. Among AI applications, computer-vision (CV) related applications have attracted high interest. Hardware implementation of CV processo…

cs.AR2017★ 2 cited

1.5 bit-per-stage 8-bit Pipelined CMOS A/D Converter for Neuromophic Vision Processor

Yilei F. Li, Li Du

Neuromorphic vision processor is an electronic implementation of vision algorithm processor on semiconductor. To image the world, a low-power CMOS image sensor array is required in…