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学术论文

代表专著:

序号    作者    书名    出版社    出版年份
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    非线性传递函数理论与应用    西安电子科技大学出版社    1992
3    焦李成    神经网络计算    西安电子科技大学出版社    1993
4    焦李成    神经网络的应用与实现    西安电子科技大学出版社    1996
5    焦李成    免疫优化计算、学习与识别    科学出版社    2006
6    焦李成、刘芳、缑水平    智能数据挖掘与知识发现    西安电子科技大学出版社    2006
7    Jiao L, Jing Liu and Weicai Zhong    Coevolutionary Computation and Multiagent Systems    WIT Press, UK/科学出版社    2012
8    焦李成、冯婕、刘芳、杨淑媛、张向荣    高分辨遥感影像学习与感知    科学出版社    2017
9    焦李成、李阳阳、刘芳、马文萍、尚荣华    量子计算、优化与学习    科学出版社    2017
10    焦李成、赵进、杨淑媛、刘芳    深度学习、优化与识别    清华大学出版社    2017
11    焦李成、侯彪、尚荣华、杨淑媛、王爽、万红林、辛芳芳、刘赶超    智能SAR影像变化检测    科学出版社    2017
12    焦李成、侯彪、王爽、刘芳、杨淑媛、白静、钟桦    雷达图像解译技术    国防工业出版社    2017
13    焦李成、尚荣华、刘芳、杨淑媛、侯彪、王爽、马文萍    认知计算与多目标优化    科学出版社    2017
14    焦李成、尚荣华、刘芳、杨淑媛、侯彪、王爽、马文萍    稀疏学习、分类与识别    科学出版社    2017
15    焦李成、刘芳、李玲玲、杨淑媛、侯彪、杨争艳、杨慧、孟繁荣    遥感影像深度学习智能解译与识别    西安电子科技大学出版社    2019
16    焦李成、刘若辰、慕彩红、刘芳    简明人工智能    西安电子科技大学出版社    2019
17    焦李成,侯彪,唐旭,刘芳,杨淑媛,陈莉,马文萍等    人工智能、类脑计算与图像解译前沿    西安电子科技大学出版社    2019
18    焦李成、李阳阳、侯彪、石光明、张丹、田小林、李欣越、缑水平、王爽、张向荣、杨韦洁    人工智能学院本硕博培养体系    清华大学出版社    2019
19    Jiao, Licheng, Ronghua Shang, Fang Liu, and Weitong Zhang. Brain and Nature-Inspired Learning, Computation and Recognition. Elsevier, 2020.

代表论文:
[1] Zhu, Hao, Wenping Ma, Lingling Li, Licheng Jiao, Shuyuan Yang, and Biao Hou. "A DualCBranch Attention fusion deep network for multiresolution remoteCSensing image classification." Information Fusion 58 (2020): 116-131. 
[2] Wang, Shigang, Shuyuan Yang, Min Wang, and Licheng Jiao. "New Contour Cue- Based Hybrid Sparse Learning for Salient Object Detection." IEEE Transactions on Cybernetics (2019).  
[3] Mao, Shasha, Weisi Lin, Licheng Jiao, Shuiping Gou, and Jia-Wei Chen. "End-to- End Ensemble Learning by Exploiting the Correlation Between Individuals and Weights." IEEE Transactions on Cybernetics (2019). 
[4] Feng, Zhixi, Shuyuan Yang, Min Wang, and Licheng Jiao. "Learning Dual Geomet- ric Low-Rank Structure for Semisupervised Hyperspectral Image Classification." IEEE Transactions on Cybernetics (2019). 
[5] Zhu, Hao, Licheng Jiao, Wenping Ma, Fang Liu, and Wei Zhao. “A Novel Neural Net- work for Remote Sensing Image Matching." IEEE Transactions on Neural Networks and Learning Systems (2019). 
[6] Liu, Fang, Licheng Jiao, and Xu Tang. “Task-Oriented GAN for PolSAR Image Clas- sification and Clustering." IEEE Transactions on Neural Networks and Learning Systems (2019). 
[7] Liu, Bo, Wenlian Lu, Licheng Jiao, and Tianping Chen. "Products of Generalized Stochastic Matrices With Applications to Consensus Analysis in Networks of Multiagents With Delays." IEEE Transactions on Cybernetics 50, no. 1 (2018): 386-399. 
[8] Luo, Juanjuan, Licheng Jiao, Fang Liu, Shuyuan Yang, and Wenping Ma. "A Pareto- Based Sparse Subspace Learning Framework." IEEE Transactions on Cybernetics 49, no. 11 (2018): 3859-3872. 
[9] Guo, Yuwei, Licheng Jiao, Shuang Wang, Shuo Wang, and Fang Liu. "Fuzzy sparse autoencoder framework for single image per person face recognition." IEEE transactions on cybernetics 48, no. 8 (2017): 2402-2415. 
[10] Liu, Fang, Licheng Jiao, Xu Tang, Shuyuan Yang, Wenping Ma, and Biao Hou. “Local Restricted Convolutional Neural Network for Change Detection in Polarimetric SAR Im- ages." IEEE Transactions on Neural Networks and Learning Systems 99 (2018): 1-16. 
[11] Guo, Yuwei, Licheng Jiao, Shuang Wang, Shuo Wang, Fang Liu, and Wenqiang Hua. “Fuzzy superpixels for polarimetric SAR images classification." IEEE Transactions on Fuzzy Systems 26, no. 5 (2018): 2846-2860. 
[12] Gu, Jing, Licheng Jiao, Shuyuan Yang, and Fang Liu. “Fuzzy double C-means clustering based on sparse self-representation." IEEE Transactions on Fuzzy Systems 26, no. 2 (2017): 612-626. 
[13] Liu, Xu, Licheng Jiao, Xu Tang, Qigong Sun, and Dan Zhang. “Polarimetric Convolu- tional Network for PolSAR Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2018). 
[14] Chen, Yanqiao, Licheng Jiao, Yangyang Li, Lingling Li, Dan Zhang, Bo Ren, and Naresh Marturi. “A Novel Semicoupled Projective Dictionary Pair Learning Method for PolSAR Image Classification." IEEE Transactions on Geoscience and Remote Sensing (2018). 
[15] Wen, Zaidao, Biao Hou, Qian Wu, and Licheng Jiao. "Discriminative transformation learning for fuzzy sparse subspace clustering." IEEE Transactions on Cybernetics 48, no. 8 (2017): 2218-2231. 
[16] Zhang, Sibo, Licheng Jiao, Fang Liu, and ShuangWang. "Global low-rank image restora- tion with Gaussian mixture model." IEEE Transactions on Cybernetics 48, no. 6 (2017): 1827-1838. 
[17] Lin, Leping, Fang Liu, Licheng Jiao, Shuyuan Yang, and Hongxia Hao. "The overcom- plete dictionary-based directional estimation model and nonconvex reconstruction meth- ods." IEEE Transactions on Cybernetics 48, no. 3 (2017): 1042-1053. 
[18] Shang, Ronghua, Wenbing Wang, Rustam Stolkin, and Licheng Jiao. "Non-negative spectral learning and sparse regression-based dual-graph regularized feature selection." IEEE Transactions on Cybernetics 48, no. 2 (2017): 793-806. 
[19] Chen, Yanqiao, Licheng Jiao, Yangyang Li, and Jin Zhao. “Multil[ant]ayer projective dic- tionary pair learning and sparse autoencoder for PolSAR image classification." IEEE Transactions on Geoscience and Remote Sensing 55, no. 12 (2017): 6683-6694. 
[20] 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. 
[21] Jiao, Licheng, Miaomiao Liang, Huan Chen, Shuyuan Yang, Hongying Liu, and Xi- anghai Cao. “Deep fully convolutional network-based spatial distribution prediction for hyperspectral image classification." IEEE Transactions on Geoscience and Remote Sensing 55, no. 10 (2017): 5585-5599. 
[22] Liu, Xu, Licheng Jiao, Jiaqi Zhao, Jin Zhao, Dan Zhang, Fang Liu, Shuyuan Yang, and Xu Tang. “Deep multiple instance learning-based spatialCspectral classification for PAN and MS imagery." IEEE Transactions on Geoscience and Remote Sensing 56, no. 1 (2017): 461-473. 
[23] Zhao, Wei, Licheng Jiao, Wenping Ma, Jiaqi Zhao, Jin Zhao, Hongying Liu, Xianghai Cao, and Shuyuan Yang. “Superpixel-based multiple local CNN for panchromatic and multispectral image classification." IEEE Transactions on Geoscience and Remote Sensing 55, no. 7 (2017): 4141-4156. 
[24] Tang, Xu, Licheng Jiao, and William J. Emery. “SAR image content retrieval based on fuzzy similarity and relevance feedback." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 5 (2017): 1824-1842. 
[25] Xie, Wen, Licheng Jiao, Biao Hou, Wenping Ma, Jin Zhao, Shuyin Zhang, and Fang Liu. “POLSAR image classification via Wishart-AE model or Wishart-CAE model." IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 10, no. 8 (2017): 3604-3615. 
[26] Chen, Yanqiao, Yangyang Li, Licheng Jiao, Cheng Peng, Xiangrong Zhang, and Ronghua Shang. “Adversarial Reconstruction-Classification Networks

Google Scholar地址:

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