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学术论文

代表专著:

[1]. 焦李成. 神经网络系统理论. 西安电子科技大学出版社, 1990.

[2]. 焦李成. 神经网络计算. 西安电子科技大学出版社, 1993.

[3]. 焦李成, 杜海峰, 刘芳, 公茂果. 免疫优化计算, 学习与识别. 科学出版社, 2006.

[4]. 焦李成, 侯彪, 王爽. "图像多尺度几何分析理论与应用." 西安电子科技大学出版社, 2008.

[5]. 焦李成, 赵进, 杨淑媛, 刘芳. 深度学习、识别与优化. 清华大学出版社, 2017.  

代表论文:

[1]  Wang, Handing, Licheng Jiao, and Xin Yao. "Two_Arch2: An improved two-archive algorithm for many-objective optimization." IEEE Transactions on Evolutionary Computation 19, no. 4 (2015): 524-541.

[2]  Luo, Juanjuan, Licheng Jiao, and Jose A. Lozano. "A Sparse Spectral Clustering Framework via Multiobjective Evolutionary Algorithm." IEEE Transactions on Evolutionary Computation 20, no. 3 (2016): 418-433.

[3]  Jiao, Licheng, Sibo Zhang, Lingling Li, Shuyuan Yang, Fang Liu, Hongxia Hao, and Hang Dong. "A Novel Image Representation Framework Based on Gaussian Model and Evolutionary Optimization." IEEE Transactions on Evolutionary Computation (2016).

[4]  Jiao, Licheng, Jing Liu, and Weicai Zhong. "An organizational coevolutionary algorithm for classification." IEEE Transactions on Evolutionary Computation 10, no. 1 (2006): 67-80.

[5]  Bo, Liefeng, Licheng Jiao, and Ling Wang. "Working set selection using functional gain for LS-SVM." IEEE Transactions on Neural Networks 18, no. 5 (2007): 1541-1544.

[6]  Jiao, Licheng, Liefeng Bo, and Ling Wang. "Fast sparse approximation for least squares support vector machine." IEEE Transactions on Neural Networks 18, no. 3 (2007): 685-697.

[7]  Zhang, Li, Weida Zhou, and Licheng Jiao. "Hidden space support vector machines." IEEE Transactions on Neural Networks 15, no. 6 (2004): 1424-1434.

[8]  Zhang, Li, Weida Zhou, and Licheng Jiao. "Wavelet support vector machine." IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics 34, no. 1 (2004): 34-39.

[9]  Wang, Handing, Licheng Jiao, Ronghua Shang, Shan He, and Fang Liu. "A memetic optimization strategy based on dimension reduction in decision space." Evolutionary computation 23, no. 1 (2015): 69-100.

[10] Jiao, Licheng, Juanjuan Luo, Ronghua Shang, and Fang Liu. "A modified objective function method with feasible-guiding strategy to solve constrained multi-objective optimization problems." Applied Soft Computing 14 (2014): 363-380.

[11] Jiao, Licheng, and Fang Liu. "Wishart Deep Stacking Network for Fast POLSAR Image Classification." IEEE Transactions on Image Processing 25, no. 7 (2016): 3273-3286.

[12] Tang, Xu, Licheng Jiao, William J. Emery, Fang Liu, and Dan Zhang. "Two-stage reranking for remote sensing image retrieval." IEEE Transactions on Geoscience and Remote Sensing 55, no. 10 (2017): 5798-5817.

[13] Liu, Fang, Licheng Jiao, Biao Hou, and Shuyuan Yang. "POL-SAR Image Classification Based on Wishart DBN and Local Spatial Information." IEEE Transactions on Geoscience and Remote Sensing 54, no. 6 (2016): 3292-3308.

[14] Zhao, Zhiqiang, Licheng Jiao, Fang Liu, Jiaqi Zhao, and Puhua Chen. "Semisupervised Discriminant Feature Learning for SAR Image Category via Sparse Ensemble." IEEE Transactions on Geoscience and Remote Sensing 54, no. 6 (2016): 3532-3547.

[15] Jiao, Licheng, Xu Tang, Biao Hou, and Shuang Wang. "SAR images retrieval based on semantic classification and region-based similarity measure for earth observation." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8, no. 8 (2015): 3876-3891.

[16] Jiao, L. C., Handing Wang, R. H. Shang, and Fang Liu. "A co-evolutionary multi-objective optimization algorithm based on direction vectors." Information Sciences 228 (2013): 90-112.

[17] Jiao, LiCheng, Lin Li, RongHua Shang, Fang Liu, and Rustam Stolkin. "A novel selection evolutionary strategy for constrained optimization." Information Sciences 239 (2013): 122-141.

[18] Li, Lingling, Licheng Jiao, Jiaqi Zhao, Ronghua Shang, and Maoguo Gong. "Quantum-behaved discrete multi-objective particle swarm optimization for complex network clustering." Pattern Recognition 63 (2017): 1-14.

[19] Zheng, Yaoguo, Licheng Jiao, Hongying Liu, Xiangrong Zhang, Biao Hou, and Shuang Wang. "Unsupervised saliency-guided SAR image change detection." Pattern Recognition 61 (2017): 309-326.

[20] Zhao, Zhiqiang, Licheng Jiao, Jiaqi Zhao, Jing Gu, and Jin Zhao. "Discriminant deep belief network for high-resolution SAR image classification." Pattern Recognition 61 (2017): 686-701.  

Google Scholar地址:

https://scholar.google.com/citations?user=FZbrL2YAAAAJ&hl=en

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