Papers
Selected Journal Papers
- Maoguo Gong, Xiangming Jiang, Hao Li, “Optimization methods for regularization-based ill-posed problems: A survey and a multi-objective framework,” Frontiers of Computer Science, vol. 11, no. 3, pp. 362-391, 2017.
- Xiangming Jiang, Maoguo Gong, Hao Li, Mingyang Zhang, Jun Li, “A two-phase multiobjective sparse unmixing approach for hyperspectral data,” IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no.1, pp. 508-523, 2018.
- Maoguo Gong, Xiangming Jiang, Hao Li, Kay Chen Tan, “Multiobjective sparse non-negative matrix factorization,” IEEE Transactions on Cybernetics, vol. 49, no. 8, pp. 2941-2954, 2019.
- Xiangming Jiang, Maoguo Gong, Tao Zhan, Mingyang Zhang, “Multiobjective endmember extraction based on bilinear mixture model,” IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no.11, pp. 8192-8210, 2020.
- Xiangming Jiang, Maoguo Gong, Tao Zhan, Hao Li. “Geodesic simplex based multiobjective endmember extraction for nonlinear hyperspectral mixtures,” Information Sciences, vol. 577, pp. 398-423, 2021.
- Xiangming Jiang, Maoguo Gong, Tao Zhan, Kai Sheng, Mingliang Xu, “Efficient two-phase multiobjective sparse unmixing approach for hyperspectral data,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 2418-2431, 2021.
Selected Conference Papers
- Xiangming Jiang, Jingjing Ma, Chao Lei. Kernel Evolutionary Algorithm for Clustering. International Conference on Bio-Inspired Computing: Theories and Applications, 2016: 3-9.
- Xiangming Jiang, Maoguo Gong, Tao Zhan, Zedong Tang, “Multiobjective sparse unmixing approach with noise removal,” in Proceedings of the Genetic and Evolutionary Computation Conference, Kyoto, Japan, 2018, pp. 681-688.