1. 国家自然科学基金青年基金项目，面向任务生成对抗网络的极化SAR图像分类问题研究，主持，在研。
2. 南京理工大学自主科研专项计划项目，主持，在研。
3. 南京理工大学科研启动项目，主持，在研。
4. 智能感知与图像理解教育部重点实验室开放基金，主持，在研。
5. 江苏省自然科学基金面上项目，面向公共安全的融合计算光谱视频成像技术与系统，参加，在研。
6. 国家自然科学基金面上项目，基于张量低秩和深度先验的高光谱与多光谱图像融合理论与方法，参加，在研。
F. Liu, J. Wang, X. Tang, et al. Adaptive Graph Convolutional Network for PolSAR Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, vol. 60, pp. 1-14, 2022, doi: 10.1109/TGRS.2021.3076997.
Fang Liu; Xu Tang; Xiangrong Zhang; Licheng Jiao; Jia Liu. Large-Scope PolSAR Image Change Detection Based on Looking-Around-and-Into Mode, IEEE Transactions on Geoscience and Remote Sensing, 2020, 59(1): 363-378.
Liu Fang, Jiao Licheng, Tang Xu, et al. Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Images[J]. IEEE Transactions on Neural Networks & Learning Systems, 2019,30(3):818-833.
Liu, Fang, Licheng Jiao, and Xu Tang. Task-Oriented GAN for PolSAR Image Classification and Clustering[J]. IEEE Transactions on Neural Networks and Learning Systems, 2019,30(9):2707-2719.
Liu F, Tang X. A Stepwise Method for Change Detection in Large-Scale Polarimetric SAR Images[C]//IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2019: 5425-5428.
Liu Fang, Jiao Licheng, Hou Biao, et al. POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information[J]. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54(6):3292-3308.
Liu J, Zhang W, Liu F, et al. Deep associative learning for neural networks[J]. Neurocomputing, 2021, 443: 222-234.
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Jiao Licheng, Liu Fang. Wishart Deep Stacking Network for Fast POLSAR Image Classification[J]. IEEE Transactions on Image Processing, 2016, 25(7):3273-3286.
Yang Xiaohui, Liu Fang, Tian Li, et al. Pseudo-full-space representation based classification for Robust Face Recognition[J]. Signal Processing Image Communication, 2017, 60.