部分科研论文：
1. Fang X, Li Z, Yuan B, Chen Y. Image-Based PM2.5 Estimation From Imbalanced Data Distribution Using Prior-Enhanced Neural Networks, IEEE Sensors Journal, 2024, 24(4): 4677-4693. (SCI, Q1)
2. Kuang W, Li Z, Guan R, Yuan W, Deng R, Chen Y. Isomorphic dual-branch network for non-homogeneous image dehazing and super-resolution. The 30th International Conference on Neural Information Processing (ICONIP), Changsha, China, Nov 20-23, 2023.
3. Chen H, Li Z, Bhanu B, Lu D, Han X. A depth-guided attention strategy for crowd counting. The 32nd International Conference on Artificial Neural Networks (ICANN), Heraklion, Crete, Greece, Sep 26-29, 2023.
4. Yao G, Li Z, Bhanu B, Kang Z, Zhong Z, Zhang Q. MTKDSR: Multi-Teacher Knowledge Distillation for Super Resolution Image Reconstruction. 26th International Conference on Pattern Recognition (ICPR), Montreal Quebec, Canada, Aug 21-25, 2022.
5. Li Z, Zhong Z, Chen Z, Yao G, Chen X, Huang W. Edge Guided Learning for Image Super resolution with Textures. International Joint Conference on Neural Networks (IJCNN), Padova, Italy, Jul 18-23, 2022.
6. Li Z, Zheng X, Bhanu B, Long S, Zhang Q, Huang Z. Fast region-adaptive defogging and enhancement for outdoor images containing sky. 25th International Conference on Pattern Recognition (ICPR), Milan, Italy, Jan 10-15, 2021: 8267-8274.
7. Li Z, Zhang J, Zhong R, Bhanu B, Chen Y, Zhang Q, Tang H. Lightweight and efficient image dehazing network guided by transmission estimation from real-world hazy scenes. Sensors, 2021, 21(3): 960. (SCI, JCR Q1)
8. Li Z, Peng Q, Bhanu B, Zhang Q, He H. Super resolution for astronomical observations. Astrophysics and Space Science, 2018, 363(5): 92. (SCI)
9. 李展，陈清亮，彭青玉，张庆丰，李伟祥. 基于MAP的单帧字符图像超分辨率重建. 电子学报. 2015, 43(1): 191-197.
10. 李展, 张庆丰, 孟小华, 梁鹏, 刘玉葆. 多分辨率图像序列的超分辨率重建. 自动化学报. 2012, 38(11): 1804-1814.
11．李展, 彭青玉, 韩国强. CCD图像数字定心算法的比较. 天文学报. 2009, 50(3): 340-348