Extracting multi-mode ERP features using fifth-order nonnegative tensor decomposition D Wang, Y Zhu, T Ristaniemi, F Cong Journal of neuroscience methods 308, 240-247, 2018 | 38 | 2018 |
Exploiting ongoing EEG with multilinear partial least squares during free-listening to music D Wang, F Cong, Q Zhao, P Toiviainen, AK Nandi, M Huotilainen, ... 2016 IEEE 26th International Workshop on Machine Learning for Signal …, 2016 | 11 | 2016 |
Sparse nonnegative tensor decomposition using proximal algorithm and inexact block coordinate descent scheme D Wang, Z Chang, F Cong Neural Computing and Applications 33 (24), 17369-17387, 2021 | 9 | 2021 |
Wood surface quality detection and classification using gray level and texture features D Wang, Z Liu, F Cong Advances in Neural Networks–ISNN 2015: 12th International Symposium on …, 2015 | 8 | 2015 |
An inexact alternating proximal gradient algorithm for nonnegative CP tensor decomposition DQ Wang, FY Cong Science China Technological Sciences 64 (9), 1893-1906, 2021 | 7 | 2021 |
Increasing stability of EEG components extraction using sparsity regularized tensor decomposition D Wang, X Wang, Y Zhu, P Toiviainen, M Huotilainen, T Ristaniemi, ... Advances in Neural Networks–ISNN 2018: 15th International Symposium on …, 2018 | 6 | 2018 |
Higher-order nonnegative CANDECOMP/PARAFAC tensor decomposition using proximal algorithm D Wang, F Cong, T Ristaniemi ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 4 | 2019 |
Sparse nonnegative CANDECOMP/PARAFAC decomposition in block coordinate descent framework: A comparison study D Wang, F Cong, T Ristaniemi arXiv preprint arXiv:1812.10637, 2018 | 3 | 2018 |
Frequency specific co-activation pattern analysis via sparse nonnegative tensor decomposition G Hu, D Wang, S Luo, Y Hao, LD Nickerson, F Cong Journal of Neuroscience Methods 362, 109299, 2021 | 2 | 2021 |
Extracting Meaningful EEG Features Using Constrained Tensor Decomposition D Wang JYU dissertations, 2019 | 2 | 2019 |
Efficient nonnegative tensor decomposition using alternating direction proximal method of multipliers D Wang, G Hu Chinese Journal of Electronics 33 (5), 1308-1316, 2024 | 1 | 2024 |
Accelerating regularized tensor decomposition using the alternating direction method of multipliers with multiple Nesterov’s extrapolations D Wang, G Hu Signal Processing 222, 109532, 2024 | 1 | 2024 |
Corrigendum to ‘Accelerating regularized tensor decomposition using the alternating direction method of multipliers with multiple Nesterov’s extrapolations’[Signal Processing … D Wang, G Hu Signal Processing 225, 109633, 2024 | | 2024 |
Doubly Accelerated Proximal Gradient for Nonnegative Tensor Decomposition D Wang International Symposium on Neural Networks, 55-65, 2024 | | 2024 |