| 时间 | 毕业院校 | 学历 |
|---|---|---|
|
2009年-2014年 |
上海交通大学航空航天学院 | 工学博士 |
| 2006年-2009年 | 西安电子科技大学 | 工学硕士 |
| 2002年-2006年 | 西安电子科技大学电子工程学院 | 工学学士 |
（1）Han Pan, Zhongliang Jing, Lingfeng Qiao and Minzhe Li. Discriminative structured dictionary learning on Grassmann manifolds and its application on image restoration, IEEE Transactions on Cybernetics, vol. 48, no. 10, pp. 2875-2886, 2018.
（2）Han Pan, Zhongliang Jing, Lingfeng Qiao and Minzhe Li, Visible and infrared image fusion using L0-generalized total variation model, SCIENCE CHINA Information Sciences, vol. 61, no. 4, pp. 049103, 2017.
（3）Han Pan, Zhongliang Jing and Minzhe Li. Robust image restoration via random projection and partial sorted Lp norm, Neurocomputing, vol. 222, pp. 72-80, 2017.
（4）Han Pan, Zhongliang Jing, Ming Lei, Rongli Liu, Bo Jin and Canlong Zhang. A sparse proximal Newton splitting method for constrained image deblurring, Neurocomputing, vol. 122, pp. 245-257, 2013.
（5）Han Pan, Zhongliang Jing, Rongli Liu and Bo Jin. Simultaneous spatial-temporal image fusion using Kalman filtered compressive sensing, Optical Engineering, vol. 51, no. 5, pp. 057005, 2012.
（6）Han Pan, Zhongliang Jing, Zhizhong Huang and Bo Jin. Generalized proximal conjugate gradient method for image deblurring, The 11th IEEE International Conference on Control & Automation (ICCA), pp. 1-6, 2014.
（7）Zhongliang Jing, Han Pan and Yanyuan Qin. Current progress of information fusion in China, Chinese Science Bulletin, vol. 58, no. 36, pp. 4533-4540, 2013.
（8）Zhongliang Jing, Han Pan, Yuankai Li, Peng Dong, Non-cooperative Target Tracking, Fusion and Control: Algorithms and Advances, Springer International Publishing, 2018, DOI: https://doi.org/10.1007/978-3-319-90716-1, ISBN: 978-3-319-90715-4.
（9）Zhongliang Jing, Han Pan and Gang Xiao. Application to Environmental Surveillance: Dynamic Image Estimation Fusion and Optimal Remote Sensing with Fuzzy Integral. Invited Book Chapter in Intelligent Environmental Sensing, Springer International Publishing, 2015. DOI: https://doi.org/10.1007/978-3-319-12892-4_7, ISBN: 978-3-319-12891-7.
