A Two-Stage Algorithm for the Detection and Removal of Random-Valued Impulse Noise Based on Local Similarity. - Cong Lin 004; Yuchun Li; Siling Feng; Mengxing Huang (IEEE Access, 2020)

A Shadow Capture Deep Neural Network for Underwater Forward-Looking Sonar Image Detection. - Taowen Xiao; Zijian Cai; Cong Lin 004; Qiong Chen (Mob. Inf. Syst., 2021)

Solving Perturbed Time-Varying Linear Equation and Inequality Problem With Adaptive Enhanced and Noise Suppressing Zeroing Neural Network. - Chaomin Wu; Zifan Huang; Jiahao Wu; Cong Lin 004 (IEEE Access, 2022)

A Deep Neural Network Based on Circular Representation for Target Detection. - Cong Lin 004; Zhoujian Chen; Yiquan Huang; Haoyu Jiang; Wencai Du; Qiong Chen (J. Sensors, 2022)

A noise level estimation method of impulse noise image based on local similarity. - Cong Lin 004; Youqiang Ye; Siling Feng; Mengxing Huang (Multim. Tools Appl., 2022)

A Three Stages Detail Injection Network for Remote Sensing Images Pansharpening. - Yuanyuan Wu 002; Siling Feng; Cong Lin 004; Haijie Zhou; Mengxing Huang (Remote. Sens., 2022)

A Deep Neural Network Based on Prior-Driven and Structural Preserving for SAR Image Despeckling. - Cong Lin 004; Chenghao Qiu; Haoyu Jiang; Lilan Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

Modified Newton Integration Neural Algorithm for Solving Time-Varying Yang-Baxter-Like Matrix Equation. - Haoen Huang 001; Zifan Huang; Chaomin Wu; Chengze Jiang; Dongyang Fu; Cong Lin 004 (Neural Process. Lett., 2023)

Infrared and Visible Image Fusion Method Based on a Principal Component Analysis Network and Image Pyramid. - Shengshi Li; Yonghua Zou; Guanjun Wang; Cong Lin 004 (Remote. Sens., 2023)

A despeckling method for ultrasound images utilizing content-aware prior and attention-driven techniques. - Chenghao Qiu; Zifan Huang; Cong Lin 004; Guodao Zhang; Shenpeng Ying (Comput. Biol. Medicine, 2023)

From Semantics to Hierarchy: A Hybrid Euclidean-Tangent-Hyperbolic Space Model for Temporal Knowledge Graph Reasoning. - Siling Feng; Zhisheng Qi; Cong Lin 004 (CoRR, 2024)

DTCNet: Transformer-CNN Distillation for Super-Resolution of Remote Sensing Image. - Cong Lin 004; Xin Mao; Chenghao Qiu; Lilan Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

FCNet: a deep neural network based on multi-channel feature cascading for image denoising. - Siling Feng; Zhisheng Qi; Guirong Zhang; Cong Lin 004; Mengxing Huang (J. Supercomput., 2024)

PTE: Prompt tuning with ensemble verbalizers. - Liheng Liang; Guancheng Wang 002; Cong Lin 004; Zhuowen Feng (Expert Syst. Appl., 2025)

ACGNet: An Alternating Conjugate Gradient Optimization-Based Neural Network for SAR Image Despeckling. - Xin Mao; Ying Liu; Chenghao Qiu; Cong Lin 004 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025)

A dual-path feature reuse multi-scale network for remote sensing image super-resolution. - Huanling Xiao; Xintong Chen; Liuhui Luo; Cong Lin 004 (J. Supercomput., 2025)

RNN With High Precision and Noise Immunity: A Robust and Learning-Free Method for Beamforming. - Cong Lin 004; Zhihui Jiang; Jingyu Cong; Lilan Zou (IEEE Internet Things J., 2025)

Kds-radfnet: A distributed thermal infrared and visible image fusion framework based on knowledge distillation and semantic segmentation. - Siling Feng; QiaoYun Wang; Cong Lin 004; Mengxing Huang (J. Supercomput., 2025)

Discrete zeroing neural dynamic with noise tolerance for image deblurring. - Cong Lin 004; Fenghao Zhuang; Jiahao Li; Chengze Jiang; Yuanyuan Wu 002 (Expert Syst. Appl., 2026)