Generalized nonconvex approach for low-tubal-rank tensor recovery H Wang, F Zhang, J Wang, T Huang, J Huang, X Liu IEEE Transactions on Neural Networks and Learning Systems 33 (8), 3305-3319, 2021 | 73 | 2021 |
Fast noise removal in hyperspectral images via representative coefficient total variation J Peng, H Wang, X Cao, X Liu, X Rui, D Meng IEEE Transactions on Geoscience and Remote Sensing 60, 1-17, 2022 | 48 | 2022 |
Tensor compressive sensing fused low-rankness and local-smoothness X Liu, J Hou, J Peng, H Wang, D Meng, J Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 8879-8887, 2023 | 12 | 2023 |
Tensor recovery from binary measurements fused low-rankness and smoothness J Hou, X Liu, H Wang, K Guo Signal Processing 221, 109480, 2024 | 7 | 2024 |
Robust low-rank matrix recovery fusing local-smoothness X Liu, J Hou, J Wang IEEE Signal Processing Letters 29, 2552-2556, 2022 | 6 | 2022 |
The perturbation analysis of nonconvex low-rank matrix robust recovery J Huang, F Zhang, J Wang, X Liu, J Jia IEEE Transactions on Neural Networks and Learning Systems, 2023 | 3 | 2023 |
Guaranteed matrix recovery using weighted nuclear norm plus weighted total variation minimization X Liu, J Peng, J Hou, Y Wang, J Wang Signal Processing 227, 109706, 2025 | 1 | 2025 |
Theory and fast learned solver for -TV regularization X Liu, J Wang, B Jin Inverse Problems 41 (1), 015001, 2024 | | 2024 |
Modified correlated total variation regularization for low-rank matrix recovery X Liu, Y Dou, J Wang Signal, Image and Video Processing, 1-13, 2024 | | 2024 |
High-order block RIP for nonconvex block-sparse compressed sensing J Huang, X Liu, J Hou, J Wang, F Zhang, J Jia Journal of Inverse and Ill-posed Problems, 2024 | | 2024 |
Error Bounds for Approximations Using Multichannel Deep Convolutional Neural Networks with Downsampling X Liu, J Hou Journal of Applied Mathematics 2023 (1), 8208424, 2023 | | 2023 |