Deqing Wang

According to our database, Deqing Wang authored at least 9 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Monotonically accelerated proximal gradient for nonnegative tensor decomposition.

Deqing Wang

Digit. Signal Process., 2025

2024

Accelerating regularized tensor decomposition using the alternating direction method of multipliers with multiple Nesterov's extrapolations.

Deqing Wang, Guoqiang Hu

Signal Process., 2024

Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition.

Deqing Wang

Proceedings of the Advances in Neural Networks - ISNN 2024, 2024

2021

Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme.

Deqing Wang, Zheng Chang, Fengyu Cong

Neural Comput. Appl., 2021

2019

Higher-order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm.

Deqing Wang, Fengyu Cong, Tapani Ristaniemi

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study.

Deqing Wang, Fengyu Cong, Tapani Ristaniemi

CoRR, 2018

Increasing Stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition.

Deqing Wang, Xiaoyu Wang, Yongjie Zhu, Petri Toiviainen, Minna Huotilainen, Tapani Ristaniemi, Fengyu Cong

Proceedings of the Advances in Neural Networks - ISNN 2018, 2018

2016

Exploiting ongoing EEG with multilinear partial least squares during free-listening to music.

Deqing Wang, Fengyu Cong, Qibin Zhao, Petri Toiviainen, Asoke K. Nandi, Minna Huotilainen, Tapani Ristaniemi, Andrzej Cichocki

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

2015

Wood Surface Quality Detection and Classification Using Gray Level and Texture Features.

Deqing Wang, Zengwu Liu, Fengyu Cong

Proceedings of the Advances in Neural Networks - ISNN 2015, 2015