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, 2020 | 203 | 2020 |
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 | 69 | 2021 |
Provable tensor ring completion H Huang, Y Liu, J Liu, C Zhu Signal Processing 171, 107486, 2020 | 52 | 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 | 50 | 2020 |
Tensor computation for data analysis Y Liu, J Liu, Z Long, C Zhu Springer, 2022 | 45 | 2022 |
Smooth robust tensor principal component analysis for compressed sensing of dynamic MRI Y Liu, T Liu, J Liu, C Zhu Pattern Recognition 102, 107252, 2020 | 40 | 2020 |
Smooth Compact Tensor Ring Regression J Liu, C Zhu, Y Liu IEEE Transactions on Knowledge and Data Engineering, 1-1, 2020 | 20 | 2020 |
Multiplex transformed tensor decomposition for multidimensional image recovery L Feng, C Zhu, Z Long, J Liu, Y Liu IEEE Transactions on Image Processing 32, 3397-3412, 2023 | 17 | 2023 |
Tensor regression Y Liu, J Liu, Z Long, C Zhu, Y Liu, J Liu, Z Long, C Zhu Tensor Computation for Data Analysis, 163-198, 2022 | 16 | 2022 |
Low-rank tensor ring learning for multi-linear regression J Liu, C Zhu, Z Long, H Huang, Y Liu Pattern Recognition 113, 107753, 2021 | 16 | 2021 |
Trainable subspaces for low rank tensor completion: Model and analysis Z Long, C Zhu, J Liu, P Comon, Y Liu IEEE Transactions on Signal Processing 70, 2502-2517, 2022 | 14 | 2022 |
Synthesis of a phosphorus-and nitrogen-containing flame retardant and the fabrication of flame retardant cotton Y Liu, J Zhang, Y Ren, G Zhang, X Liu Textile Research Journal 92 (19-20), 3426-3442, 2022 | 10 | 2022 |
Bayesian low rank tensor ring model for image completion Z Long, C Zhu, J Liu, Y Liu arXiv preprint arXiv:2007.01055, 2020 | 5 | 2020 |
Tensorized LSSVMS For Multitask Regression J Liu, Q Tao, C Zhu, Y Liu, JAK Suykens ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
Tensor Sketch Y Liu, J Liu, Z Long, C Zhu, Y Liu, J Liu, Z Long, C Zhu Tensor Computation for Data Analysis, 299-321, 2022 | 3 | 2022 |
Tensor subspace cluster Y Liu, J Liu, Z Long, C Zhu, Y Liu, J Liu, Z Long, C Zhu Tensor Computation for Data Analysis, 219-239, 2022 | 2 | 2022 |
Tensor Decomposition Y Liu, J Liu, Z Long, C Zhu, Y Liu, J Liu, Z Long, C Zhu Tensor Computation for Data Analysis, 19-57, 2022 | 2 | 2022 |
TS-RTPM-Net: Data-driven Tensor Sketching for Efficient CP Decomposition X Cao, X Zhang, C Zhu, J Liu, Y Liu IEEE Transactions on Big Data, 2023 | 1 | 2023 |
Tensor Decomposition in Deep Networks Y Liu, J Liu, Z Long, C Zhu, Y Liu, J Liu, Z Long, C Zhu Tensor Computation for Data Analysis, 241-263, 2022 | 1 | 2022 |
Robust Principal Tensor Component Analysis Y Liu, J Liu, Z Long, C Zhu, Y Liu, J Liu, Z Long, C Zhu Tensor Computation for Data Analysis, 133-162, 2022 | 1 | 2022 |