8 citations · 12 across the 3 of their papers we have counts for
6 papers
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…
Median Binary-Connect Method and a Binary Convolutional Neural Nework for Word Recognition
Spencer Sheen, Jiancheng Lyu
We propose and study a new projection formula for training binary weight convolutional neural networks. The projection formula measures the error in approximating a full precision…
Residual Diffusivity in Elephant Random Walk Models with Stops
Jiancheng Lyu, Jack Xin, Yifeng Yu
We study the enhanced diffusivity in the so called elephant random walk model with stops (ERWS) by including symmetric random walk steps at small probability . At any , th…