Kernel Sparse Representation for Anomaly Detection in Hyperspectral Imagery. - Jie Xiong; Qiang Ling 002; Zaiping Lin; Jing Wu (ICAIP, 2018)

A Constrained Sparse-Representation-Based Binary Hypothesis Model for Target Detection in Hyperspectral Imagery. - Qiang Ling 002; Yulan Guo; Zaiping Lin; Li Liu 002; Wei An (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

A Constrained Sparse Representation Model for Hyperspectral Anomaly Detection. - Qiang Ling 002; Yulan Guo; Zaiping Lin; Wei An (IEEE Trans. Geosci. Remote. Sens., 2019)

A Constrained Sparse-Representation-Based Spatio-Temporal Anomaly Detector for Moving Targets in Hyperspectral Imagery Sequences. - Zhaoxu Li; Qiang Ling 002; Jing Wu; Zhengyan Wang; Zaiping Lin (Remote. Sens., 2020)

Segmentation-Based Weighting Strategy for Hyperspectral Anomaly Detection. - Zhaoxu Li; Qiang Ling 002; Zaiping Lin; Jing Wu (IEEE Geosci. Remote. Sens. Lett., 2021)

Self-Supervised Deep Subspace Clustering for Hyperspectral Images With Adaptive Self-Expressive Coefficient Matrix Initialization. - Kun Li 029; Yao Qin 002; Qiang Ling 002; Yingqian Wang 002; Zaiping Lin; Wei An (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Detecting Dim Small Target in Infrared Images via Subpixel Sampling Cuneate Network. - Xu He; Qiang Ling 002; Yuyuan Zhang; Zaiping Lin; Shilin Zhou 001 (IEEE Geosci. Remote. Sens. Lett., 2022)

Hyperspectral Detection and Unmixing of Subpixel Target Using Iterative Constrained Sparse Representation. - Qiang Ling 002; Kun Li 029; Zhaoxu Li; Zaiping Lin; Jiawen Wang (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

IISTD: Image Inpainting-Based Small Target Detection in a Single Infrared Image. - De-Yong Lu; Qiang Ling 002; Yuanyuan Zhang; Zaiping Lin; Wei An (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022)

Spectral-Spatial Deep Support Vector Data Description for Hyperspectral Anomaly Detection. - Kun Li 029; Qiang Ling 002; Yao Qin 002; Yingqian Wang 002; Yaoming Cai; Zaiping Lin; Wei An (IEEE Trans. Geosci. Remote. Sens., 2022)

RawTrack: Toward Single Object Tracking on Mosaic Hyperspectral Raw Data. - Zhaoxu Li; Gaowei Guo; Xu He; Qingyu Xu; Wei Wang; Qiang Ling 002; Zaiping Lin; Wei An (WHISPERS, 2023)

Anomaly Detection for Hyperspectral Imagery via Tensor Low-Rank Approximation With Multiple Subspace Learning. - Xu He; Jing Wu; Qiang Ling 002; Zhaoxu Li; Zaiping Lin; Shilin Zhou 001 (IEEE Trans. Geosci. Remote. Sens., 2023)

You Only Train Once: Learning a General Anomaly Enhancement Network With Random Masks for Hyperspectral Anomaly Detection. - Zhaoxu Li; Yingqian Wang 002; Chao Xiao; Qiang Ling 002; Zaiping Lin; Wei An (IEEE Trans. Geosci. Remote. Sens., 2023)

Spectral Difference Guided Graph Attention Autoencoder for Hyperspectral Anomaly Detection. - Kun Li 029; Qiang Ling 002; Yingqian Wang 002; Yaoming Cai; Yao Qin 002; Zaiping Lin; Wei An (IEEE Trans. Instrum. Meas., 2023)

ICPR 2024 Competition on Resource-Limited Infrared Small Target Detection Challenge: Methods and Results. - Boyang Li 007; Xinyi Ying; Ruojing Li; Yongxian Liu; Yangsi Shi; Miao Li; Xin Zhang; Mingyuan Hu; Chenyang Wu; Yukai Zhang; Hui Wei; Dongli Tang; et al. (ICPR (34), 2024)

Global-to-Local Spatial-Spectral Awareness Transformer Network for Hyperspectral Anomaly Detection. - Xu He; Shilin Zhou 001; Qiang Ling 002; Miao Li; Zhaoxu Li; Yuyuan Zhang; Zaiping Lin (IEEE Trans. Geosci. Remote. Sens., 2024)

SPTrack: Spectral Similarity Prompt Learning for Hyperspectral Object Tracking. - Gaowei Guo; Zhaoxu Li; Wei An; Yingqian Wang 002; Xu He; Yihang Luo; Qiang Ling 002; Miao Li; Zaiping Lin (Remote. Sens., 2024)

LSTT: Long-Term Spatial-Temporal Tensor Model for Infrared Small Target Detection under Dynamic Background. - De-Yong Lu; Wei An; Qiang Ling 002; Dong Cao; Haibo Wang; Miao Li; Zaiping Lin (Remote. Sens., 2024)

A cascaded autoencoder unmixing network for Hyperspectral anomaly detection. - Kun Li 029; Yingqian Wang 002; Qiang Ling 002; Yaoming Cai; Yao Qin 002 (Int. J. Appl. Earth Obs. Geoinformation, 2025)

Infrared Moving Small Target Detection Based on Spatial-Temporal Feature Fusion Tensor Model. - De-Yong Lu; Wei An; Haibo Wang; Qiang Ling 002; Dong Cao; Miao Li; Zaiping Lin (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)