毋芳芳，西安电子科技大学计算机科学与技术学院华山准聘副教授，硕士生导师。2008年6月于西安电子科技大学获学士学位。2011年3月于西安电子科技大学获硕士学位。2021年12月于西安电子科技大学获博士学位。现任教于西安电子科技大学计算机科学与技术学院。

本人面向国家人工智能方向的需求，长期从事图象处理的理论和应用研究工作。主要研究方向包括图像视频处理，深度学习、计算机视觉等方面领域。近年来，在包括International Journal of Computer Vision、IEEE Trans. on Image Processing、CVPR、ACM MM、AAAI等人工智能领域的顶级期刊和会议上发表论文20多篇。主持国家自然科学基金青年基金1项，参与多项国家重点重大以及产学研项目。

近期代表性论文包括：

[1]     Fangfang Wu, Tao Huang, Junwei Xu, Xun Cao, Weisheng Dong, Le Dong and Guangming Shi, “Joint spatial and frequency domain learning for lightweight spectral image demosaicing,” IEEE Trans. on Image Processing, 2025. (CCF-A类)

[2]     Zhenxuan Fang, Fangfang Wu*, Tao Huang, Le Dong, Weisheng Dong, Xin Li, Guangming Shi, “Parameterized Blur Kernel Prior Learning for Local Motion Deblurring”, CVPR 2025. (CCF-A类)

[3]     Zhou Yang, Mingtao Feng, Tao Huang, Fangfang Wu, Weisheng Dong, Xin Li, Guangming Shi, “Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes”, CVPR 2025. (CCF-A类)

[4]     Jinghao Bian, Mingtao Feng, Weisheng Dong, Fangfang Wu, Jianqiao Luo, Yaonan Wang, Guangming Shi, “Feature Information Driven Position Gaussian Distribution Estimation for Tiny Object Detection”, CVPR 2025. (CCF-A类)

[5]     Qitong Yang, Mingtao Feng, Zijie Wu, Weisheng Dong, Fangfang Wu, Yaonan Wang, Ajmal Saeed Mian, “Hierarchical Gaussian Mixture Model Splatting for Efficient and Part Controllable 3D Generation”, CVPR 2025. (CCF-A类)

[6]     Lu Sun, Fangfang Wu*, Wei Ding, Xin Li, Weisheng Dong, and Guangming Shi, “Multi-scale spatio-temporal memory network for lightweight video denoising,” IEEE Trans. on Image Processing, 2024. (CCF-A类)

[7]     Bokang Wang, Qian Ning, Fangfang Wu*, Xin Li, Weisheng Dong and Guangming Shi, “Uncertainty modeling of the transmission map for single image dehazing”, IEEE Trans. on Circuits and Systems for Video Technology, 2024.

[8]     Zhenxuan Fang, Fangfang Wu*, Weisheng Dong, Xin Li, Jinjian Wu and Guangming Shi, “Self-supervised non-uniform kernel estimation with flow-based motion prior for blind image deblurring,” CVPR 2023. (CCF-A类)

[9]     J. Xu, F. Wu*, X. Li, W. Dong, T. Huang, and G. Shi, “Spatially varying prior learning for blind hyperspectral image fusion,” IEEE Trans. on Image Processing, vol. 32, pp. 4416-4431, 2023. (CCF-A类)

[10]  Q. Ning, F. Wu*, W. Dong, X. Li, and G. Shi, “Exploring Correlations in Degraded Spatial Identity Features for Blind Face Restoration,” ACM Multimedia, 2023. (CCF-A类)

[11]  L. Sun, Y. Wang, F. Wu*, X. Li, W. Dong, and G. Shi, “Deep unfolding network for efficient mixed video noise removal,” IEEE Trans. on Circuits and System for Video Technology (T-CSVT), vol. 33, no. 9, pp. 4715-4727, 2023.

[12]  C. Wang, W. Dong, X. Li, F. Wu, J. Wu, and G. Shi, “Memory based temporal fusion network for video deblurring,” International Journal of Computer Vision, vol. 131, pp. 1840-1856, 2023. (CCF-A类)

[13]  T. Huang, W. Dong, F. Wu, X. Li, and G. Shi, “Uncertainty-driven knowledge distillation for language model compression,” IEEE/ACM Transactions on Audio, Speech, and Language Processing, vol. 31, pp. 2850-2858, 2023.

[14]  Qian Ning, Jingzhu Tang, Fangfang Wu, W. Dong, Xin Li, and Guangming Shi, “Learning degradation Uncertainty for unsupervised real-world image super-resolution,” IJCAI 2022. (CCF-A类)