Jiancheng Lyu

Blended coarse gradient descent for full quantization of deep neural networks

Jack Xin, Stanley Osher, Penghang Yin, 2018, Research in the Mathematical Sciences.

Channel Pruning for Deep Neural Networks Via a Relaxed Groupwise Splitting Method

Shuai Zhang, Jiancheng Lyu, Biao Yang, 2019, 2019 Second International Conference on Artificial Intelligence for Industries (AI4I).

Median Binary-Connect Method and a Binary Convolutional Neural Network for Word Recognition

Jiancheng Lyu, Spencer Sheen, 2019, 2019 Data Compression Conference (DCC).

Computing Residual Diffusivity by Adaptive Basis Learning via Super-Resolution Deep Neural Networks pdf

Jack Xin, Jiancheng Lyu, Yifeng Yu, 2019, ICCSAMA.

Understanding Straight-Through Estimator in Training Activation Quantized Neural Nets pdf

Jack Xin, Stanley Osher, Penghang Yin, 2019, ICLR.

Short Paper: A Multistage Backward Differentiable Method for Constructing Light Convolutional Neural Networks

Shuai Zhang, Jiancheng Lyu, Yingyong Qi, 2019, 2019 Second International Conference on Artificial Intelligence for Industries (AI4I).

A Channel-Pruned and Weight-Binarized Convolutional Neural Network for Keyword Spotting pdf

Jiancheng Lyu, Spencer Sheen, 2019, ICCSAMA.

AutoShuffleNet: Learning Permutation Matrices via an Exact Lipschitz Continuous Penalty in Deep Convolutional Neural Networks

Jack Xin, Shuai Zhang, Jiancheng Lyu, 2020, KDD.

BinaryRelax: A Relaxation Approach For Training Deep Neural Networks With Quantized Weights pdf

Jack Xin, Stanley Osher, Penghang Yin, 2018, SIAM J. Imaging Sci..

Computing Residual Diffusivity by Adaptive Basis Learning via Spectral Method

Jiancheng Lyu, Jack Xin, J. Xin, 2017 .