60 citations · 103 across the 12 of their papers we have counts for
4 papers · 1 filter
Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks
Jiancheng Lyu, Jack Xin, Yifeng Yu
It is expensive to compute residual diffusivity in chaotic in-compressible flows by solving advection-diffusion equation due to the formation of sharp internal layers in the advect…
A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting
Jiancheng Lyu, Spencer Sheen
We study channel number reduction in combination with weight binarization (1-bit weight precision) to trim a convolutional neural network for a keyword spotting (classification) ta…
Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets
Penghang Yin, Jiancheng Lyu, Shuai Zhang +3
Training activation quantized neural networks involves minimizing a piecewise constant function whose gradient vanishes almost everywhere, which is undesirable for the standard bac…
AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks
Jiancheng Lyu, Shuai Zhang, Yingyong Qi +1
ShuffleNet is a state-of-the-art light weight convolutional neural network architecture. Its basic operations include group, channel-wise convolution and channel shuffling. However…