1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.LG2021★ 1 cited
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
Peiyu Liu, Ze-Feng Gao, Wayne Xin Zhao +3
This paper presents a novel pre-trained language models (PLM) compression approach based on the matrix product operator (short as MPO) from quantum many-body physics. It can decomp…
cs.SD2020
A Model Compression Method with Matrix Product Operators for Speech Enhancement
Xingwei Sun, Ze-Feng Gao, Zhong-Yi Lu +2
The deep neural network (DNN) based speech enhancement approaches have achieved promising performance. However, the number of parameters involved in these methods is usually enormo…
cs.LG2019
Compressing deep neural networks by matrix product operators
Ze-Feng Gao, Song Cheng, Rong-Qiang He +4
A deep neural network is a parametrization of a multilayer mapping of signals in terms of many alternatively arranged linear and nonlinear transformations. The linear transformatio…