Journal and Conference Papers:
Deqing Wang, Fengyu Cong, Tapani Ristaniemi. Higher-Order Nonnegative CANDECOMP/PARAFAC Tensor Decomposition Using Proximal Algorithm, in 2019 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Brighton, UK, May 12-17, 2019. p. 3457-3461.
[Paper Download] [Code] [Poster] Best Student Paper Award
Deqing Wang, Fengyu Cong, Tapani Ristaniemi. Sparse Nonnegative CANDECOMP/PARAFAC Decomposition in Block Coordinate Descent Framework: A Comparison Study, arXiv preprint arXiv:1812.10637. Dec. 2018. p.1-15.
Deqing Wang, Yongjie Zhu, Tapani Ristaniemi, et al. Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition, Journal of Neuroscience Methods. Volume 308, 2018. p.240-247. (SCI, 2018 Impact Factor: 2.785)
Deqing Wang, Xiaoyu Wang, Yongjie Zhu, et al. Increasing stability of EEG Components Extraction Using Sparsity Regularized Tensor Decomposition, in Advances in Neural Networks – ISNN 2018, T. Huang, et al., Editors. 2018, Springer International Publishing. p. 789-799.
Deqing Wang, Fengyu Cong, Qibin Zhao, et al. Exploiting ongoing EEG with multilinear partial least squares during free-listening to music. in 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP). 2016. p. 1-6.
Deqing Wang, Zengwu Liu, and Fengyu Cong. Wood Surface Quality Detection and Classification Using Gray Level and Texture Features, in Advances in Neural Networks – ISNN 2015, X. Hu, et al., Editors. 2015, Springer International Publishing. p. 248-257.
Xiufen Ye, Deqing Wang. Texture Image Segmentation Combining Chan-Vese Model and Structure Tensor. In 2012 Annual Conference of College of Automation, Harbin Engineering University. Harbin, China. 2012. [In Chinese]
Deqing Wang, Extracting Meaningful EEG Features Using Constrained Tensor Decomposition, University of Jyväskylä, Finland. December 2019.
[Dissertation Download] [Press Release in English] [Press Release in Finnish]
Deqing Wang, Image Segmentation Based on Partial Difference Equations, Harbin Engineering University, Harbin, China. March 2012.
[Dissertation in Chinese]