23 citations · 41 across the 6 of their papers we have counts for
11 papers
A 2030 United States Macro Grid Unlocking Geographical Diversity to Accomplish Clean Energy Goals
Yixing Xu, Daniel Olsen, Bainan Xia +4
Some U.S. states have set clean energy goals and targets in an effort to decarbonize their electricity sectors. There are many reasons for such goals and targets, including the inc…
Manifold Regularized Dynamic Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu +4
Neural network pruning is an essential approach for reducing the computational complexity of deep models so that they can be well deployed on resource-limited devices. Compared wit…
Kernel Based Progressive Distillation for Adder Neural Networks
Yixing Xu, Chang Xu, Xinghao Chen +3
Adder Neural Networks (ANNs) which only contain additions bring us a new way of developing deep neural networks with low energy consumption. Unfortunately, there is an accuracy dro…
Training Binary Neural Networks through Learning with Noisy Supervision
Kai Han, Yunhe Wang, Yixing Xu +3
This paper formalizes the binarization operations over neural networks from a learning perspective. In contrast to classical hand crafted rules (\eg hard thresholding) to binarize…
SCOP: Scientific Control for Reliable Neural Network Pruning
Yehui Tang, Yunhe Wang, Yixing Xu +4
This paper proposes a reliable neural network pruning algorithm by setting up a scientific control. Existing pruning methods have developed various hypotheses to approximate the im…
DC-NAS: Divide-and-Conquer Neural Architecture Search
Yunhe Wang, Yixing Xu, Dacheng Tao
Most applications demand high-performance deep neural architectures costing limited resources. Neural architecture searching is a way of automatically exploring optimal deep neural…