Jing Li; Hongtao Huo; Chang Li; Renhua Wang; Qi Feng ; AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks, IEEE Transactions on Multimedia, 2021, 23: 1383-1396. (ESI高被引论文)
Bin Yang; Yin Mao; Licheng Liu; Xinxin Liu; Yuzhong Ma; Jing Li ; From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14. (ESI高被引论文, 通讯作者）
Jing Li; Jianming Zhu; Chang Li; Xun Chen; Bin Yang ; CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion, IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-14. ( ESI高被引论文)
Yang B, Hu Y, Liu X, Li, J. CEFusion: an infrared and visible image fusion network based on cross-modal multi-granularity information interaction and edge guidance. IEEE Transactions on Intelligent Transportation Systems, 2024, 25,17794-17809.(通讯作者）
Jing Li, Lu. Bai, Bin. Yang, et al. Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems, 2024.DOI:10.1109/TITS.2025.3562267.
Jing Li, Lu. Bai, Bin. Yang, Chang. Li and Lingfei. Ma. Graph Representation Learning for Infrared and Visible Image Fusion. IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 13801-13813, 2025.
Jing Li; Hongtao Huo; Chang Li; Renhua Wang; Chenhong Sui; Zhao Liu ; Multi-grained Attention Network for Infrared and Visible Image Fusion, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-12.
Jing Li; Bin Yang; Lu Bai; Hao Dou; Chang Li; Lingfei Ma ; TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-14.
Jing Li., Huo, H., Liu, K., & Li, C. Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance. Information Sciences, 2020,529, 28-41.
《人工智能的数学方法》
国家自然科学基金青年项目（主持）, 2023至2025;
高分辨率对地观测重大专项（项目骨干）《高分公安XX应用示范系统》，2015-2017
高分辨率对地观测重大专项（项目骨干），《XXX航空遥感应用示范》，2019-2022
国家重点专项（项目骨干），《高分公安****应用示范系统（二期》,2020—2023
Jing Li; Hongtao Huo; Chang Li; Renhua Wang; Qi Feng ; AttentionFGAN: Infrared and Visible Image Fusion Using Attention-Based Generative Adversarial Networks, IEEE Transactions on Multimedia, 2021, 23: 1383-1396. (ESI高被引论文)
Bin Yang; Yin Mao; Licheng Liu; Xinxin Liu; Yuzhong Ma; Jing Li ; From Trained to Untrained: A Novel Change Detection Framework Using Randomly Initialized Models With Spatial-Channel Augmentation for Hyperspectral Images, IEEE Transactions on Geoscience and Remote Sensing, 2023, 61: 1-14. (ESI高被引论文, 通讯作者）
Jing Li; Jianming Zhu; Chang Li; Xun Chen; Bin Yang ; CGTF: Convolution-Guided Transformer for Infrared and Visible Image Fusion, IEEE Transactions on Instrumentation and Measurement, 2022, 71: 1-14. ( ESI高被引论文)
Yang B, Hu Y, Liu X, Li, J. CEFusion: an infrared and visible image fusion network based on cross-modal multi-granularity information interaction and edge guidance. IEEE Transactions on Intelligent Transportation Systems, 2024, 25,17794-17809.(通讯作者）
Jing Li, Lu. Bai, Bin. Yang, et al. Dual-modal Prior Semantic Guided Infrared and Visible Image Fusion for Intelligent Transportation System. IEEE Transactions on Intelligent Transportation Systems, 2024.DOI:10.1109/TITS.2025.3562267.
Jing Li, Lu. Bai, Bin. Yang, Chang. Li and Lingfei. Ma. Graph Representation Learning for Infrared and Visible Image Fusion. IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 13801-13813, 2025.
Jing Li; Hongtao Huo; Chang Li; Renhua Wang; Chenhong Sui; Zhao Liu ; Multi-grained Attention Network for Infrared and Visible Image Fusion, IEEE Transactions on Instrumentation and Measurement, 2021, 70: 1-12.
Jing Li; Bin Yang; Lu Bai; Hao Dou; Chang Li; Lingfei Ma ; TFIV: Multigrained Token Fusion for Infrared and Visible Image via Transformer, IEEE Transactions on Instrumentation and Measurement, 2023, 72: 1-14.
Jing Li., Huo, H., Liu, K., & Li, C. Infrared and visible image fusion using dual discriminators generative adversarial networks with Wasserstein distance. Information Sciences, 2020,529, 28-41.
