Search Results for author: ZhiGang Liu

Found 4 papers, 0 papers with code

High-order Order Proximity-Incorporated, Symmetry and Graph-Regularized Nonnegative Matrix Factorization for Community Detection

no code implementations8 Mar 2022 ZhiGang Liu, Xin Luo

Community describes the functional mechanism of a network, making community detection serve as a fundamental graph tool for various real applications like discovery of social circle.

Community Detection

Generalized Nesterov's Acceleration-incorporated Non-negative and Adaptive Latent Factor Analysis

no code implementations IEEE Transactions on Services Computing 2021 Xin Luo, Yue Zhou, ZhiGang Liu, Lun Hu, Mengchu Zhou

A non-negative latent factor (NLF) model with a single latent factor-dependent, non-negative and multiplicative update (SLF-NMU) algorithm is frequently adopted to extract useful knowledge from non-negative data represented by high-dimensional and sparse (HiDS) matrices arising from various service applications.

Doping: A technique for efficient compression of LSTM models using sparse structured additive matrices

no code implementations14 Feb 2021 Urmish Thakker, Paul N. Whatmough, ZhiGang Liu, Matthew Mattina, Jesse Beu

Additionally, results with doped kronecker product matrices demonstrate state-of-the-art accuracy at large compression factors (10 - 25x) across 4 natural language processing applications with minor loss in accuracy.

Small traffic sign detection from large image

no code implementations journal 2019 ZhiGang Liu, Dongyu Li, Shuzhi Sam Ge, Feng Tian

It concatenates the features of the different layers into a fused feature map to provide sufficient information for small traffic sign detection.

Region Proposal Small Object Detection +1

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