RCA-NET: Image Recovery Network with Channel Attention Group for Image Dehazing. - Juan Du 005; Jiajia Zhang; Zhe Zhang; Wei Tan; Shangzhen Song; Huixin Zhou (ICSM, 2019)

Low-Rank & Sparse Matrix Decomposition and Support Vector Machine for Hyperspectral Anomaly Detection. - Shangzhen Song; Huixin Zhou; Zhe Zhang; Yixin Yang 002; Pei Xiang; Juan Du 005; Jiajia Zhang (ICSM, 2019)

Hyperspectral Anomaly Detection via Dictionary Construction-Based Low-Rank Representation and Adaptive Weighting. - Yixin Yang 002; Jianqi Zhang; Shangzhen Song; Delian Liu (Remote. Sens., 2019)

Hyperspectral Anomaly Detection via Convolutional Neural Network and Low Rank With Density-Based Clustering. - Shangzhen Song; Huixin Zhou; Yixin Yang 002; Jiangluqi Song (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Hyperspectral Anomaly Detection via Graphical Connected Point Estimation and Multiple Support Vector Machines. - Shangzhen Song; Hanlin Qin; Yixin Yang 002; Zhe Zhang; Huixin Zhou (IEEE Access, 2020)

Hyperspectral Anomaly Detection Through Sparse Representation With Tensor Decomposition-Based Dictionary Construction and Adaptive Weighting. - Yixin Yang 002; Shangzhen Song; Delian Liu; Jonathan Cheung-Wai Chan; Jinze Li; Jianqi Zhang (IEEE Access, 2020)

Explainable-by-design Semi-Supervised Representation Learning for COVID-19 Diagnosis from CT Imaging. - Abel Díaz Berenguer; Hichem Sahli; Boris Joukovsky; Maryna Kvasnytsia; Ine Dirks; Mitchel Alioscha-Pérez; Nikos Deligiannis; Panagiotis Gonidakis; Sebastián Amador Sánchez; Redona Brahimetaj; Evgenia Papavasileiou; Jonathan Cheung-Wai Chan; et al. (CoRR, 2020)

Hyperspectral Anomaly Detection via Tensor- Based Endmember Extraction and Low-Rank Decomposition. - Shangzhen Song; Huixin Zhou; Lin Gu 003; Yixin Yang 002; Yiyi Yang (IEEE Geosci. Remote. Sens. Lett., 2020)

Low-Rank and Sparse Matrix Decomposition With Orthogonal Subspace Projection-Based Background Suppression for Hyperspectral Anomaly Detection. - Yixin Yang 002; Jianqi Zhang; Shangzhen Song; Chi Zhang; Delian Liu (IEEE Geosci. Remote. Sens. Lett., 2020)

Hyperspectral Anomaly Detection via Graph Dictionary-Based Low Rank Decomposition with Texture Feature Extraction. - Shangzhen Song; Yixin Yang 002; Huixin Zhou; Jonathan Cheung-Wai Chan (Remote. Sens., 2020)

Robust Background Feature Extraction Through Homogeneous Region-Based Joint Sparse Representation for Hyperspectral Anomaly Detection. - Yixin Yang 002; Shangzhen Song; Delian Liu; Jianqi Zhang; Jonathan Cheung-Wai Chan (IEEE Trans. Geosci. Remote. Sens., 2021)

Vehicle-Road Environment Perception Under Low-Visibility Condition Based on Polarization Features via Deep Learning. - Huifeng Wang; Yuan-He Shan; Ting Hao; Xiangmo Zhao; Shangzhen Song; He Huang; Jiajia Zhang (IEEE Trans. Intell. Transp. Syst., 2022)

A real-time omnidirectional target detection system based on FPGA. - Zhe Zhang; Huan Li; Yue Yu; Hanlin Qin; Dabao Wang; Huixin Zhou; Shangzhen Song; Yanyan Liu (Multim. Tools Appl., 2023)

Low-Visibility Vehicle-Road Environment Perception Based on the Multi-Modal Visual Features Fusion of Polarization and Infrared. - Huifeng Wang; Yun-Mei Jiao; Ting Hao; Yuan-He Shan; Shangzhen Song; He Huang (IEEE Trans. Intell. Transp. Syst., 2023)