Yisi Luo

25 papers A* 3Journal 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neural Approximation and Its Applications.
CoRR
Wei-Hao Wu, Ting-Zhu Huang, Xi-Le Zhao, Yisi Luo, Deyu Meng
2026 J jnl
Neural Operator-Grounded Continuous Tensor Function Representation and Its Applications.
CoRR
Ruoyang Su, Xi-Le Zhao, Sheng Liu, Wei-Hao Wu, Yisi Luo, Michael K. Ng
2026 J jnl
Semi-supervised image rain removal using mutual consistency of rain kernel dictionaries.
Knowl. Based Syst.
Mingdi Hu, Ruifang Zhang, Yisi Luo, Bingyi Jing, Deyu Meng
2026 J jnl
Unveiling the Mechanism of Continuous Representation Full-Waveform Inversion: A Wave Based Neural Tangent Kernel Framework.
CoRR
Ruihua Chen, Yisi Luo, Bangyu Wu, Deyu Meng
2025 A* conf
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm.
IJCAI
Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng
2025 J jnl
Beyond Low-rankness: Guaranteed Matrix Recovery via Modified Nuclear Norm.
CoRR
Jiangjun Peng, Yisi Luo, Xiangyong Cao, Shuang Xu, Deyu Meng
2025 J jnl
CTVNet: Gradient Prior-Guided Deep Unfolding Network for Infrared Small Target Detection.
IEEE Trans. Geosci. Remote. Sens.
Pei Liu, Li Pang, Jiangjun Peng, Yisi Luo, Junmin Liu, Xiangyong Cao
2025 J jnl
Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding.
CoRR
Zhenyu Jin, Yisi Luo, Xile Zhao, Deyu Meng
2025 J jnl
Continuous Representation Methods, Theories, and Applications: An Overview and Perspectives.
CoRR
Yisi Luo, Xile Zhao, Deyu Meng
2025 J jnl
Cross-Frequency Implicit Neural Representation with Self-Evolving Parameters.
CoRR
Chang Yu, Yisi Luo, Kai Ye, Xile Zhao, Deyu Meng
2025 J jnl
DDFet: Infrared Small Target Detection via a Dual-Domain Fused Deep Unfolding Network.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Pei Liu, Jiangjun Peng, Yisi Luo, Jing Fu, Jialin Li, Xiangyong Cao
2025 A* conf
Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery.
AAAI
Yanyi Li, Xi Zhang, Yisi Luo, Deyu Meng
2025 J jnl
Efficient Seismic Random Noise Attenuation via KAN-Empowered Neural Low-Rank Representation.
IEEE Trans. Geosci. Remote. Sens.
Shengrui Wang, Yisi Luo, Sanfu Li, Jiangjun Peng, Bangyu Wu
2025 J jnl
Full-Waveform Inversion With Velocity Model Low-Rank Implicit Neural Representation.
IEEE Trans. Geosci. Remote. Sens.
Ruihua Chen, Bangyu Wu, Meng Li, Yisi Luo
2025 J jnl
Motion-Enhanced Nonlocal Similarity Implicit Neural Representation for Infrared Dim and Small Target Detection.
CoRR
Pei Liu, Yisi Luo, Wenzhen Wang, Xiangyong Cao
2025 J jnl
NeurTV: Total Variation on the Neural Domain.
SIAM J. Imaging Sci.
Yisi Luo, Xile Zhao, Kai Ye, Deyu Meng
2025 J jnl
Revisiting Nonlocal Self-Similarity from Continuous Representation.
IEEE Trans. Pattern Anal. Mach. Intell.
Yisi Luo, Xile Zhao, Deyu Meng
2025 A* conf
STINR: Deciphering Spatial Transcriptomics via Implicit Neural Representation.
CVPR
Yisi Luo, Xile Zhao, Kai Ye, Deyu Meng
2024 J jnl
Hyperspectral Image Denoising via Double Subspace Deep Prior.
IEEE Trans. Geosci. Remote. Sens.
Kexin Shi, Jiangjun Peng, Jing Gao, Yisi Luo, Shuang Xu
2024 J jnl
Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery.
IEEE Trans. Pattern Anal. Mach. Intell.
Yisi Luo, Xile Zhao, Zhemin Li, Michael K. Ng, Deyu Meng
2024 J jnl
NeurTV: Total Variation on the Neural Domain.
CoRR
Yisi Luo, Xile Zhao, Kai Ye, Deyu Meng
2024 J jnl
Revisiting Nonlocal Self-Similarity from Continuous Representation.
CoRR
Yisi Luo, Xile Zhao, Deyu Meng
2023 J jnl
Deep Nonlocal Regularizer: A Self-Supervised Learning Method for 3-D Seismic Denoising.
IEEE Trans. Geosci. Remote. Sens.
Zitai Xu, Yisi Luo, Bangyu Wu, Deyu Meng, Yangkang Chen
2023 J jnl
H2TF for Hyperspectral Image Denoising: Where Hierarchical Nonlinear Transform Meets Hierarchical Matrix Factorization.
CoRR
Jiayi Li, Jinyu Xie, Yisi Luo, Xile Zhao, Jianli Wang
2022 J jnl
S2S-WTV: Seismic Data Noise Attenuation Using Weighted Total Variation Regularized Self-Supervised Learning.
CoRR
Zitai Xu, Yisi Luo, Bangyu Wu, Deyu Meng