Deqing Wang

ORCID link: https://orcid.org/0000-0002-1333-0928

No active affiliation

Previous or other affiliations

Deqing Wang, Faculty of Information Technology (University of Jyväskylä), Grant Researcher
Deqing Wang, Faculty of Information Technology (University of Jyväskylä), Grant Researcher

Research interests

•Signal Processing, Machine Learning

•Tensor Decomposition: constrained and regularized CANDECOMP/PAFARAC decomposition

•Non-convex Optimization

•Electroencephalography(EEG) Data Analysis

Fields of science

113 Computer and information sciences (Natural sciences)
3112 Neurosciences (311 Basic medicine)

Publications

An inexact alternating proximal gradient algorithm for nonnegative CP tensor decomposition (2021) Wang, DeQing; et al.; A1
Extracting meaningful EEG features using constrained tensor decomposition (2019) Wang, Deqing; G5; OA; 978-951-39-7968-3
Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm (2019) Wang, Deqing; et al.; A4; OA
Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition (2018) Wang, Deqing; et al.; A1; OA
Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition (2018) Wang, Deqing; et al.; A4; OA
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music (2016) Wang, Deqing; et al.; A4