Unsupervised Hyperspectral Mixed Noise Removal Via Spatial-Spectral Constrained Deep Image Prior. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yu-Bang Zheng; Yi Chang 002 (CoRR, 2020)

Reconciling Hand-Crafted and Self-Supervised Deep Priors for Video Directional Rain Streaks Removal. - Jun-Hao Zhuang; Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang (IEEE Signal Process. Lett., 2021)

Hyperspectral Mixed Noise Removal via Spatial-Spectral Constrained Unsupervised Deep Image Prior. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yu-Bang Zheng; Yi Chang 002 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging. - Yi-Si Luo; Xile Zhao; Deyu Meng; Tai-Xiang Jiang (CVPR, 2022)

UConNet: Unsupervised Controllable Network for Image and Video Deraining. - Jun-Hao Zhuang; Yi-Si Luo; Xile Zhao; Tai-Xiang Jiang; Bichuan Guo (ACM Multimedia, 2022)

Self-Supervised Nonlinear Transform-Based Tensor Nuclear Norm for Multi-Dimensional Image Recovery. - Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yi Chang 002; Michael K. Ng 001; Chao Li 013 (IEEE Trans. Image Process., 2022)

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization. - Jiayi Li; Jinyu Xie; Yisi Luo; Xile Zhao; Jianli Wang (CoRR, 2023)

H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization. - Jia-Yi Li; Jinyu Xie; Yi-Si Luo; Xi-Le Zhao; Jian-Li Wang (IEEE Geosci. Remote. Sens. Lett., 2023)

S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning. - Zitai Xu; Yi-Si Luo; Bangyu Wu; Deyu Meng (IEEE Trans. Geosci. Remote. Sens., 2023)

Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising. - Zitai Xu; Yisi Luo; Bangyu Wu; Deyu Meng; Yangkang Chen (IEEE Trans. Geosci. Remote. Sens., 2023)

DTR: A Unified Deep Tensor Representation Framework for Multimedia Data Recovery. - Ting-Wei Zhou; Xi-Le Zhao; Jian-Li Wang; Yi-Si Luo; Min Wang 022; Xiao-Xuan Bai; Hong Yan 001 (CoRR, 2024)

Hyperspectral Image Denoising via Double Subspace Deep Prior. - Kexin Shi; Jiangjun Peng; Jing Gao; Yisi Luo; Shuang Xu (IEEE Trans. Geosci. Remote. Sens., 2024)

Unsupervised video rain streaks removal with deep foreground-background modeling. - Jun-Hao Zhuang; Yi-Si Luo; Xi-Le Zhao; Tai-Xiang Jiang; Yi Chang 002; Jun Liu 012 (J. Comput. Appl. Math., 2024)

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery. - Yisi Luo; Xile Zhao; Zhemin Li; Michael K. Ng 001; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

CoNoT: Coupled Nonlinear Transform-Based Low-Rank Tensor Representation for Multidimensional Image Completion. - Jian-Li Wang; Ting-Zhu Huang; Xi-Le Zhao; Yi-Si Luo; Tai-Xiang Jiang (IEEE Trans. Neural Networks Learn. Syst., 2024)

Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery. - Yanyi Li; Xi Zhang; Yisi Luo; Deyu Meng (AAAI, 2025)

STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation. - Yisi Luo; Xile Zhao; Kai Ye; Deyu Meng (CVPR, 2025)

NeurTV: Total Variation on the Neural Domain. - Yisi Luo; Xile Zhao; Kai Ye; Deyu Meng (SIAM J. Imaging Sci., 2025)

Full-Waveform Inversion With Velocity Model Low-Rank Implicit Neural Representation. - Ruihua Chen; Bangyu Wu; Meng Li; Yisi Luo (IEEE Trans. Geosci. Remote. Sens., 2025)

Efficient Seismic Random Noise Attenuation via KAN-Empowered Neural Low-Rank Representation. - Shengrui Wang; Yisi Luo; Sanfu Li; Jiangjun Peng; Bangyu Wu (IEEE Trans. Geosci. Remote. Sens., 2025)

Revisiting Nonlocal Self-Similarity from Continuous Representation. - Yisi Luo; Xile Zhao; Deyu Meng (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters. - Chang Yu; Yisi Luo; Kai Ye; Xile Zhao; Deyu Meng (CoRR, 2025)

Motion-Enhanced Nonlocal Similarity Implicit Neural Representation for Infrared Dim and Small Target Detection. - Pei Liu; Yisi Luo; Wenzhen Wang; Xiangyong Cao (CoRR, 2025)

Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives. - Yisi Luo; Xile Zhao; Deyu Meng (CoRR, 2025)

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding. - Zhenyu Jin; Yisi Luo; Xile Zhao; Deyu Meng (CoRR, 2025)

Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm. - Jiangjun Peng; Yisi Luo; Xiangyong Cao; Shuang Xu; Deyu Meng (CoRR, 2025)