论文发表
1. Luo Y, Zhao X, Meng D. Revisiting nonlocal self-similarity from continuous representation[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
2. Luo Y, Zhao X, Ye K, et al. Neurtv: Total variation on the neural domain[J]. SIAM Journal on Imaging Sciences, 2025, 18(2): 1101-1140.
3. Zhou T W, Zhao X L, Wu W H, et al. Frequency-Aware Implicit Neural Representation for Multi-Dimensional Data Recovery[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2025.
4. Zhou T W, Zhao X L, Wang J L, et al. DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery[J]. arXiv preprint arXiv:2407.05267, 2024.
5. Luo Y, Zhao X, Ye K, et al. Stinr: Deciphering spatial transcriptomics via implicit neural representation[C]//Proceedings of the Computer Vision and Pattern Recognition Conference. 2025: 25930-25939.
6. Chen X, Zhang C, Zhao X L, et al. Forecasting Sparse Movement Speed of Urban Road Networks with Nonstationary Temporal Matrix Factorization[J]. Transportation Science, 2025.
7. Luo Y, Zhao X, Li Z, et al. Low-rank tensor function representation for multi-dimensional data recovery[J]. IEEE transactions on pattern analysis and machine intelligence, 2023, 46(5): 3351-3369.
8. Zheng Y B, Zhao X L, Zeng J, et al. SVDinsTN: A tensor network paradigm for efficient structure search from regularized modeling perspective[C]//Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2024: 26254-26263.
9. Liu S, Zhao X L, Leng J, et al. Revisiting high-order tensor singular value decomposition from basic element perspective[J]. IEEE Transactions on Signal Processing, 2024.
10. Zhang H, Huang T Z, Zhao X L, et al. Learnable Transform-Assisted Tensor Decomposition for Spatio-Irregular Multidimensional Data Recovery[J]. ACM Transactions on Knowledge Discovery from Data, 2024, 19(1): 1-23.
11. Miao Y C, Zhao X L, Wang J L, et al. Snapshot compressive imaging using domain-factorized deep video prior[J]. IEEE Transactions on Computational Imaging, 2024, 10: 93-102.
12. Liu Y Y, Zhao X L, Ding M, et al. The Generalized Tensor Decomposition with Heterogeneous Tensor Product for Third-Order Tensors[J]. Journal of Scientific Computing, 2024, 100(3): 78.
13. Zhang H, Huang T Z, Zhao X L, et al. A fast algorithm for rank-(l, m, n) block term decomposition of multi-dimensional data[J]. Journal of Scientific Computing, 2024, 101(1): 16.
14. Chen X, Zhao X L, Cheng C. Forecasting urban traffic states with sparse data using hankel temporal matrix factorization[J]. INFORMS Journal on Computing, 2024.
15. Li B Z, Zhao X L, Zhang X, et al. A learnable group-tube transform induced tensor nuclear norm and its application for tensor completion[J]. SIAM Journal on Imaging Sciences, 2023, 16(3): 1370-1397.
16. Zheng, WenJie,Zhao, XiLe,Zheng, YuBang, et al.Spatial-spectral-temporal connective tensor network decomposition for thick cloud removal[J].ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING,2023,199:182-194.DOI:10.1016/j.isprsjprs.2023.04.006.
17. Jiang T X, Zhao X L, Zhang H, et al. Dictionary learning with low-rank coding coefficients for tensor completion[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021, 34(2): 932-946.
18. Li, Jiayi,Xie, Jinyu,Luo, Yisi, et al.H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization[J].arXiv,2023,.DOI:10.48550/arXiv.2304.11141.