| Automated Detection of Parkinson’s Disease Based on Multiple Types of Sustained Phonations Using Linear Discriminant Analysis and Genetically Optimized Neural Network L Ali, C Zhu, Z Zhang, Y Liu IEEE Journal of Translational Engineering in Health and Medicine 7, 1-10, 2019 | 154 | 2019 |
| AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing Z Zhang, Y Liu, J Liu, F Wen, C Zhu IEEE Transactions on Image Processing 30, 1487-1500, 2021 | 131 | 2021 |
| Robust Sparse Recovery in Impulsive Noise via lp-l1 Optimization F Wen, P Liu, Y Liu, R Qiu, W Yu IEEE Transactions on Signal Processing 65 (1), 105-118, 2017 | 127 | 2017 |
| Low Rank Tensor Completion for Multiway Visual Data Z Long, Y Liu, L Chen, C Zhu Signal Processing 155, 301-316, 2019 | 125 | 2019 |
| DaST: Data-free Substitute Training for Adversarial Attacks M Zhou, J Wu, Y Liu, S Liu, C Zhu IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2020 …, 2020 | 121 | 2020 |
| Early diagnosis of Parkinson’s disease from multiple voice recordings by simultaneous sample and feature selection L Ali, C Zhu, M Zhou, Y Liu Expert Systems with Applications 137, 22-28, 2019 | 115 | 2019 |
| A Simple Local Minimal Intensity Prior and An Improved Algorithm for Blind Image Deblurring F Wen, R Ying, Y Liu, P Liu, TK Truong IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 107 | 2020 |
| Improved Robust Tensor Principal Component Analysis via Low-Rank Core Matrix Y Liu, L Chen, C Zhu IEEE Journal of Selected Topics in Signal Processing 12 (6), 1378-1389, 2018 | 107 | 2018 |
| Reliable Parkinson’s Disease Detection by Analyzing Handwritten Drawings: Construction of an Unbiased Cascaded Learning System Based on Feature Selection and Adaptive Boosting … L Ali, C Zhu, NA Golilarz, A Javeed, M Zhou, Y Liu IEEE Access 7, 116480-116489, 2019 | 102 | 2019 |
| Image completion using low tensor tree rank and total variation minimization Y Liu, Z Long, C Zhu IEEE Transactions on Multimedia 21 (2), 338-350, 2019 | 78 | 2019 |
| Low CP rank and Tucker rank tensor completion for estimating missing components in image data Y Liu, Z Long, H Huang, C Zhu IEEE Transactions on Circuits and Systems for Video Technology 30 (4), 944-954, 2019 | 68 | 2019 |
| Tensor rank learning in cp decomposition via convolutional neural network M Zhou, Y Liu, Z Long, L Chen, C Zhu Signal Processing: Image Communication 73, 12-21, 2019 | 64 | 2019 |
| A Bayesian Approach to Camouflaged Moving Object Detection X Zhang, C Zhu, S Wang, Y Liu, M Ye IEEE Transactions on Circuits and Systems for Video Technology 27 (9), 2001-2013, 2017 | 61 | 2017 |
| Bayesian Low Rank Tensor Ring for Image Recovery Z Long, C Zhu, J Liu, Y Liu IEEE Transactions on Image Processing 30, 3568-3580, 2021 | 48* | 2021 |
| Multi-structural signal recovery for biomedical compressive sensing Y Liu, M De Vos, I Gligorijevic, V Matic, Y Li, S Van Huffel IEEE Transactions on Biomedical Engineering 60 (10), 2794-2805, 2013 | 48 | 2013 |
| Compressed Sensing of Multi-Channel EEG Signals: The Simultaneous Cosparsity and Low Rank Optimization Y Liu, M De Vos, S Van Huffel IEEE Transactions on Biomedical Engineering 62 (8), 2055 - 2061, 2015 | 46 | 2015 |
| Two-level l1 Minimization for Compressed Sensing X Huang, Y Liu, L Shi, S Van Huffel, JAK Suykens Signal Processing 108, 459-475, 2015 | 46 | 2015 |
| Provable tensor ring completion H Huang, Y Liu, J Liu, C Zhu Signal Processing 171, 107486, 2020 | 45 | 2020 |
| Robust Low-Rank Tensor Ring Completion H Huang, Y Liu, Z Long, C Zhu IEEE Transactions on Computational Imaging 6, 1117-1126, 2020 | 42 | 2020 |
| Low-rank tensor train coefficient array estimation for tensor-on-tensor regression Y Liu, J Liu, C Zhu IEEE transactions on neural networks and learning systems 31 (12), 5402-5411, 2020 | 36 | 2020 |
Ce ZhuFIEEE, University of Electronic Science and Technology of ChinaVerified email at uestc.edu.cn
