Papers

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, 48(10): 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, Ming Lei, Rongli Liu, Bo Jin, Canlong Zhang, A sparse proximal Newton splitting method for constrained image deblurring, Neurocomputing, 122: 245-257, 2013.
4. Han Pan, Zhongliang Jing, Rongli Liu, Bo Jin, Simultaneous spatial-temporal image fusion using Kalman filtered compressive sensing, Optical Engineering, 51(5): 057005(1-13), 2012.
5. Han Pan, Zhongliang Jing, Zhizhong Huang, Bo Jin, Generalized proximal conjugate gradient method for image deblurring, The 11th IEEE International Conference on Control & Automation (ICCA), 1416-1421, June 2014.
6. Han Pan, Zhongliang Jing, Gang Xiao, Feature-based image fusion scheme for satellite recognition, The 13th Conference on Information Fusion (FUSION), 1-6, 2010.
7. Zhongliang Jing, Han Pan, Yanyuan Qin, Current progress of information fusion in China, Chinese Science Bulletin, 58(36): 4533-4540, 2013.
8. Minzhe Li, Zhongliang Jing, Han Pan, Joint Registration and Multi-target Tracking Based on Labelled Random Finite Set and Expectation Maximization, IET Radar Sonar & Navigation, 12(3): 312-322, 2018.

        Monograph and Chapter

1. Han Pan, Riemannian Manifold optimization and its applications (in Chinese), Science Press, June 2020
2. 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.
3. 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.

        Journal/Conference Reviewer

        Journal:

1. IEEE Transactions on Circuits and Systems for Video Technology
2. IEEE Transactions on Neural Networks and Learning Systems
3. IET Image Processing
4. SCIENCE CHINA Information Sciences
5. Neurocomputing
6. Optical Engineering

       Conference:

1. IJCNN2020
2. ICASSE2020