40 citations · 240 across the 25 of their papers we have counts for
25 papers
Logic Design of Neural Networks for High-Throughput and Low-Power Applications
Kangwei Xu, Grace Li Zhang, Ulf Schlichtmann +1
Neural networks (NNs) have been successfully deployed in various fields. In NNs, a large number of multiplyaccumulate (MAC) operations need to be performed. Most existing digital h…
Computational and Storage Efficient Quadratic Neurons for Deep Neural Networks
Chuangtao Chen, Grace Li Zhang, Xunzhao Yin +3
Deep neural networks (DNNs) have been widely deployed across diverse domains such as computer vision and natural language processing. However, the impressive accomplishments of DNN…
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration
Richard Petri, Grace Li Zhang, Yiran Chen +2
Deep neural networks (DNNs) have been successfully applied in various fields. A major challenge of deploying DNNs, especially on edge devices, is power consumption, due to the larg…
SteppingNet: A Stepping Neural Network with Incremental Accuracy Enhancement
Wenhao Sun, Grace Li Zhang, Xunzhao Yin +4
Deep neural networks (DNNs) have successfully been applied in many fields in the past decades. However, the increasing number of multiply-and-accumulate (MAC) operations in DNNs pr…
CorrectNet: Robustness Enhancement of Analog In-Memory Computing for Neural Networks by Error Suppression and Compensation
Amro Eldebiky, Grace Li Zhang, Georg Boecherer +2
The last decade has witnessed the breakthrough of deep neural networks (DNNs) in many fields. With the increasing depth of DNNs, hundreds of millions of multiply-and-accumulate (MA…
VirtualSync+: Timing Optimization with Virtual Synchronization
Grace Li Zhang, Bing Li, Xing Huang +4
In digital circuit designs, sequential components such as flip-flops are used to synchronize signal propagations. Logic computations are aligned at and thus isolated by flip-flop s…