Hyperspectral Image Denoising via Combined Non-Local Self-Similarity and Local Low-Rank Regularization. - Haijin Zeng; Xiaozhen Xie; Wenfeng Kong; Shuang Cui; Jifeng Ning (IEEE Access, 2020)

Hyperspectral Image Restoration via Multi-mode and Double-weighted Tensor Nuclear Norm Minimization. - Sheng Liu; Xiaozhen Xie; Wenfeng Kong (CoRR, 2021)

Multi-modal and frequency-weighted tensor nuclear norm for hyperspectral image denoising. - Sheng Liu; Xiaozhen Xie; Wenfeng Kong; Jifeng Ning (CoRR, 2021)

Hyperspectral Image Denoising via Framelet Transformation Based Three-Modal Tensor Nuclear Norm. - Wenfeng Kong; Yangyang Song; Jing Liu (Remote. Sens., 2021)

Hyperspectral Target Detection Based on Low-Rank Background Subspace Learning and Graph Laplacian Regularization. - Dunbin Shen; Xiaorui Ma; Wenfeng Kong; Jiacheng Tian; Hongyu Wang 001 (CoRR, 2023)

Hyperspectral Target Detection Based on Interpretable Representation Network. - Dunbin Shen; Xiaorui Ma; Wenfeng Kong; Jianjun Liu; Jie Wang 003; Hongyu Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

Hyperspectral Target Detection Based on Macro-Micro Spectrum Contrastive Learning. - Jiacheng Tian; Dunbin Shen; Wenfeng Kong; Min Li; Hongyu Wang 001; Xiaorui Ma (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

Hyperspectral Anomaly Detection Based on Tensor Approximation With Tensor Double Nuclear Norm. - Wenfeng Kong; Dunbin Shen; Min Li; Xiaorui Ma; Hongyu Wang 001 (IEEE Trans. Geosci. Remote. Sens., 2025)