学术主页：谷歌学术，DBLP

• Lingling Li, Liyuan Ma, Licheng Jiao, Fang Liu, Qigong Sun, Jin Zhao: Complex Contourlet-CNN for polarimetric SAR image classification. Pattern Recognit. 100: 107110 (2020)
• Yuwei Guo, Zhuangzhuang Sun, Rong Qu, Licheng Jiao, Fang Liu, Xiangrong Zhang: Fuzzy Superpixels Based Semi-Supervised Similarity-Constrained CNN for PolSAR Image Classification. Remote. Sens. 12(10): 1694 (2020)
• Jing Gu, Licheng Jiao, Fang Liu, Xiangrong Zhang, Xu Tang, Puhua Chen: Multi-Feature Weighted Sparse Graph for SAR Image Analysis. IEEE Trans. Geosci. Remote. Sens. 58(2): 881-891 (2020)
• Lingling Li, Jie Zeng, Licheng Jiao, Pujiang Liang, Fang Liu, Shuyuan Yang: Online Active Extreme Learning Machine With Discrepancy Sampling for PolSAR Classification. IEEE Trans. Geosci. Remote. Sens. 58(3): 2027-2041 (2020)
• Wan Li, Fang Liu, Licheng Jiao, Fei Hu:Multi-Scale Residual Reconstruction Neural Network With Non-Local Constraint. IEEE Access 7: 70910-70918 (2019)
• Wan Li, Fang Liu, Licheng Jiao, Fei Hu, Shuyuan Yang:Video reconstruction based on Intrinsic Tensor Sparsity model. Signal Process. Image Commun. 72: 113-125 (2019)Juanjuan Luo, Licheng Jiao, Fang Liu, Shuyuan Yang, Wenping Ma:A Pareto-Based Sparse Subspace Learning Framework. IEEE Trans. Cybern. 49(11): 3859-3872 (2019)
• Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang:Transferred Deep Learning-Based Change Detection in Remote Sensing Images. IEEE Trans. Geosci. Remote. Sens. 57(9): 6960-6973 (2019)
• Hao Zhu, Licheng Jiao, Wenping Ma, Fang Liu, Wei Zhao:A Novel Neural Network for Remote Sensing Image Matching. IEEE Trans. Neural Networks Learn. Syst. 30(9): 2853-2865 (2019)
• Jiaqi Zhao, Licheng Jiao, Fang Liu, Vítor Basto Fernandes, Iryna Yevseyeva, Shixiong Xia, Michael T. M. Emmerich:3D fast convex-hull-based evolutionary multiobjective optimization algorithm. Appl. Soft Comput. 67: 322-336 (2018)
• Jing Gu, Licheng Jiao, Fang Liu, Shuyuan Yang, Rongfang Wang, Puhua Chen, Yuanhao Cui, Junhu Xie, Yake Zhang:Random subspace based ensemble sparse representation. Pattern Recognit. 74: 544-555 (2018)
• Fang Liu, Jie Wu, Lingling Li, Licheng Jiao, Hongxia Hao, Xiangrong Zhang:A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood. IEEE Trans. Geosci. Remote. Sens. 56(2): 730-748 (2018)
• Yiping Duan, Fang Liu, Licheng Jiao, Xiaoming Tao, Jie Wu, Cheng Shi, Martin O. Wimmers:Adaptive Hierarchical Multinomial Latent Model With Hybrid Kernel Function for SAR Image Semantic Segmentation. IEEE Trans. Geosci. Remote. Sens. 56(10): 5997-6015 (2018)
• Lin, Leping; Liu, Fang; Jiao, Licheng; Yang, Shuyuan; Hao, Hongxia. The overcomplete dictionary-based directional estimation model and nonconvex reconstruction methods.IEEE Transactions on Cybernetics, 2018.3, 48(3), 1042-1053. 
• Liu, Fang; Wu, Jie; Li, Lingling; Jiao, Licheng; Hao, Hongxia; Zhang, Xiangrong, A Hybrid Method of SAR Speckle Reduction Based on Geometric-Structural Block and Adaptive Neighborhood, IEEE Transactions on Geoscience and Remote Sensing, 2018.2, 56(2): 730~748.
• Wang Xiaotao, Liu Fang. Maximum Correntropy Criterion based Low Rank preserving projection for Hyperspectral Image Classification, IEEE Geoscience and Remote Sensing Letters. 
• Yiping Duan, Fang Liu, Licheng Jiao, Peng Zhao,Lu Zhang.SAR Image Segmentation Based on Convolutional-wavelet Neural Network and Markov Random Field,Pattern Recognition,2017,64:255-267. 
• Wang Xiaotao, Liu Fang.Weighted Low Rank Representation based Dimension Reduction for Hyperspectral Image Classification,IEEE Geoscience and Remote Sensing Letters,2017, 14(11), 1938-1942.
• 石俊飞，刘芳，林耀海，刘璐.基于深度学习和层次语义模型的极化SAR分类.自动化学报,2017,43(2):215-226.
• Fang Liu, Junfei Shi, Licheng Jiao, Hongying Liu, Shuyuan Yang, Jie Wu, Hongxia Hao, and Jialing Yuan, Hierarchical Semantic Model and Scattering Mechanism Based PolSAR Image Classification, Pattern Recognition , 2016,59:325-342.[Download]
• Fang Liu, Yiping Duan, Lingling Li, Licheng Jiao, Jie Wu, Shuyuan Yang, Xiangrong Zhang, and Jialin Yuan, SAR image segmenation based on hierarhical visual semantic and adaptive neighborhood multinomial latent model,IEEE Trancactions on Geoscience and Remote Sensing, 2016,54(7):4287-4301.[Download]
• Xiaoliang Ma, F. Liu, Yutao Qi, Xiaodong Wang, Lingling Li, L.C.Jiao, Minglei Yin and Maoguo Gong. A multiobjective evolutionary algorithm based on decision variable analyses for multi-objective optimization problems with large scale variables. IEEE Transaction on Evoluationary Computation, VOL.20,NO.2,APRIL,2016:275-298.[c++code][supplementary material]

• Hong Li, Fang Liu, Shuyuan Yang, Licheng Jiao, Kai Zhang, Xiaomeng Su. Refined Pan-Sharpening with NSCT and Hierarchical Sparse Auto-Encoder.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9（12）：5715~5725.

• Jie Wu, Fang Liu, Hongxia Hao, Lingling Li, Licheng Jiao and Xiangrong Zhang.A Nonlocal Means for Speckle Reduction of SAR Image with Multiscale-Fusion-Based Steerable Kernel Function,IEEE Geoscience and Remote Sensing Letters, 13(11), pp 1646-1650, 2016.
• Y. P. Duan, F, Liu, L. C. Jiao, “Sketching Model and Higher Order Neighborhood Markov Random Field-Based SAR Image Segmentation”, IEEE Geoscience and Remote Sensing Letters, 13(11), pp 1686-1690, 2016.
• Junfei Shi, Lingling Li, Fang Liu, Hongying Liu, Shuyuan Yang, Lu Liu and Hongxia Hao.Unsupervised Polarimetric SAR Image Classification based on Sketch Map and Adaptive Markov Random Field. Journal of Applied Remote Sensing,2016,10(2), 025008-1～025008-20.
• Wan Li, Fang Liu, Licheng Jiao, Hongxia Hao, Shuyuan Yang, A group matching pursuit for image reconstruction. Signal Processing Image Communication, 2016, 49: 47-62.
• Xiaoliang Ma, Fang Liu, Yutao Qi. etal. MOEA/D with biased weight adjustment inspired by user-preference and its application on multi-objective reservoir flood control problem. Soft Computing, 2016, 20(12):4999–5023.
• Yong Huang, Fang Liu.Detecting Cars in VHR SAR Images via Semantic CFAR Algorithm.IEEE Geoscience and Remote Sensing Letters,2016,13(6):801-805.

• Leping Lin, Fang Liu, Licheng Jiao. Geometric Structure Guided Collaborative Compressed Sensing [J], Signal Processing: Image Communication, 2016, 40(1): 16-25. 

• 李红，刘芳，杨淑媛，张凯，基于深度支撑值学习网络的遥感图像融合，计算机学报，2016，Vol.39，No.8：1583-1596.

• Zhi-Guo Zhou, Fang Liu, Ling-Ling Li, Li-Cheng Jiao, Zhi-Jie Zhou, Jian-Bo Yang, Zhi-Long Wang,A cooperative belief rule based decision support system for lymph node me[ant]tastasis diagnosis in gastric cancer. Knowledge-Based Systems,85,62-70,2015.
• Fang Liu, Leping Lin, Licheng Jiao, Lingling Li,et.al. Non-convex Compressed Sensing by Nature-inspired Optimization Algorithms.IEEE Transactions on Cybernetics, 2015,45(5): 1028-1039.[matlab][Download]
• C. Shi, F. liu, L.L. Li, L.C. Jiao, Y.P.Duan, and S.Wang, "Learning Interpolation via Regional Map for Pan-sharpening," IEEE Transactions on Geoscience and Remote Sensing, 2015,53(6):3417-3431.[Dowanload]
• Jie Feng, Licheng Jiao, Fang Liu, Tao Sun, Xiangrong Zhang, Mutual information based semi-supervised hyperspectral band selection with high discrimination, high information, and low redundancy, IEEE Transactions on Geoscience and Remote Sensing, 2015, 53(5):2956-2969.
• Luo, Xiaozhuo, Liu, F., Yang, Shuyuan, Wang, Xiaodong, Zhou, Zhiguo, Joint sparse regularization based Sparse Semi-Supervised Extreme Learning Machine (S3ELM) for classification, Knowledge-Based Systems, 2015, 73:149-160.
• Jie Wu, Fang Liu, Licheng Jiao, Xiangrong Zhang, Hongxia Hao, Shuang Wang, Local Maximal Homogeneous Region Search for SAR Speckle Reduction with Sketch-based Geometrical Kernel Function. IEEE Transactions on Geoscience and Remote Sensing. 2014,53(9) : 5751-5764.(C code)[Download]
• Xiaodong Wang, F. Liu, L.C. Jiao, Jiao Wu, Jianrui Chen, Incomplete variables truncated conjugate gradient method for signal reconstruction in compressed sensing. Information Sciences 288, 2014 :387–411.
• Li, Lin, Stolkin, Rustam, Jiao, Licheng, Liu, Fang, Wang, Shuang, A compressed sensing approach for efficient ensemble learning, Pattern Recognition, 2014, 47(10):3451-3465.
• Ma, Xiaoliang, Qi, Yutao, Li, Lingling, Liu, Fang, Jiao, Licheng, Wu, Jianshe, MOEA/D with uniform decomposition measurement for many-objective problems, Soft Computing, 2014, 18(12):2541-2564.
• Leping Lin, Fang Liu, Licheng Jiao. Compressed Sensing by Collaborative Reconstruction on Overcomplete Dictionary, Signal Processing 103 (2014), 92-102.
• Ma, Xiaoliang, Liu, Fang, Qi, Yutao, Gong, Maoguo, Yin, Minglei, Li, Lingling, Jiao, Licheng, Wu Jianshe, MOEA/D with opposition-based learning for multiobjective optimization problem, Neurocomputing, 2014, 146, 48-64.
• Ma, Xiaoliang, Liu, Fang, Qi, Yutao, Li, Lingling, Jiao, Licheng, Liu, Meiyun, Wu, Jianshe, MOEA/D with Baldwinian learning inspired by the regularity property of continuous multiobjective problem, Neurocomputing, 2014, 145: 336-352.
• Yutao Qi, Xiaoliang Ma, Fang Liu. etal. MOEA/D with Adaptive Weight Adjustment. Evolutionary Computation. 2014, 22(2): 231-264.
• Cheng Shi, Fang Liu, Lingling Li, Hongxia Hao, Pan-Sharpening for Multi-spectral and Panchromatic images with thin clouds using enhanced Mask Dodging and shift-invariant Shearlet transform. Journal of Applied Remote Sensing. 2014, 8(1): 1-17. (matlab code) 
• C .Shi, F. Liu, and Q.G. Miao, "Pan-sharpening via Regional Division and NSST," Multidedia Tools and Applications, 2014.
• Zhi-Guo Zhou, Fang Liu, Li-Cheng Jiao, Zhi-Jie Zhou, Mao-Guo Gong, Xiao-Peng Zhang, A bi-level belief rule based decision support system for diagnosis of lymph node me[ant]tastasis in gastric cancer, Knowledge-based systems, 54, 128-136, 2013. (matlab code and data)
• Zhi-Guo Zhou, Fang Liu, Li-Cheng Jiao, Zhi-Long Wang, Xiao-Peng Zhang, Xiao-Dong Wang, Xiao-Zhuo Luo, An evidential reasoning based model for diagnosis of lymph node me[ant]tastasis in gastric cancer, BMC Medical Informatics and Decision Making, 13 (123), 2013.
• Zhiguo Zhou, Fang Liu, Licheng Jiao, Lingling Li, Xiaodong Wang, Shuiping Gou, Shuang Wang. Object information based interactive segmentation for fatty tissue extraction. Computers in Biology and Medicine, 2013,43(10), :1462-1470.
• Jiao Wu, Fang Liu, Licheng Jiao, Xiaodong Wang. Multivariate pursuit image reconstruction using prior information beyond sparsity. Signal Processing. 2013. 93(6):1661-1671.
• Fang Liu, Si-feng Zhu, Zheng-yi Chai, Yu-tao Qi, Jian-she Wu. Immune optimization algorithm for solving vertical handoff decision problem in heterogeneous wireless network. Wireless Networks. 2013, 19(4): 507-516.
• Zheng-yi Chai, Fang Liu, Yu-tao Qi and Si-feng Zhu, On the use of immune clonal optimization for joint subcarrier and power allocation in OFDMA with proportional fairness rate. International Journal of Communication Systems. 2013,26(10): 1273-1287. 
• Zheng-Yi Chai, Fang Liu, Yu-Tao Qi, Jian-She Wu.A Novel Immune Optimization Algorithm for Fairness Resource Allocation in Cognitive Wireless Network. Wireless personal communications. 2013, 69(4): 1671-1687. 
• 刘芳,武娇,杨淑媛,焦李成, 结构化压缩感知研究进展, 自动化学报. 2013.  39 (12): 1980-1995.
• Xiao-Dong Wang, Fang Liu, Li-Cheng Jiao, Zhi-Guo Zhou, Jingjing Yu, Bing Li, Jianrui Chen, Jiao Wu, Fanhua Shang, An evidential reasoning based classification algorithm and its application for face recognition with class noise, Pattern Recognition, 45 (12), 4117-4128, 2012.
• Yutao Qi, Fang Liu, Meiyun Liu, Maoguo Gong, Licheng Jiao. Multi-objective immune algorithm with Baldwinian learning. Applied Soft Computing. 2012, 12: 2654-2674.
• J. Wu, L. Jiao, C. Jin, F. Liu, M. Gong, R. Shang, W. Chen. Overlapping community detection via network dynamics. Physical Review E, Vol. 85, No. 1, 2012: 016115.
• Zhu Si-feng, Liu Fang, Qi Yu-tao, Chai Zheng-yi, Wu Jian-she, Immune optimization algorithm for solving joint call admission control problem in next-generation wireless network, Engineering Applications of Artificial Intelligence, 25(7), pp. 1395-1402, 2012/10.
• Jiao Wu, Fang Liu, L.C. Jiao, Xiaodong Wang, Compressive Sensing SAR Image Reconstruction based on Bayesian framework and Evolutionary Computation, IEEE Transaction on Image Processing, 2011,20(7):1904-1911. (SCI: 000291823600011) 
• Jiao Wu, Fang Liu, L. C. Jiao, Xiaodong Wang, Biao Hou, Multivariate Compressive Sensing for Image Reconstruction in the Wavelet Domain: Using Scale Mixture Models, IEEE Transaction on Image Processing, 2011,20(12):3483-3494.(SCI: 000297340300015). 
• D. Yang, L. Jiao, M. Gong, F. Liu. Artificial Immune Multi-objective SAR Image Segmentation with Fused Complementary Features. Information Sciences, 2011,181(13): 2797-2812.
• Peng, Yali; Liu, Fang; Jiao, Licheng; Liu, Shigang, Occlusion recovery method for orthographic projection based on 1D subspace, Chinese Journal of Scientific Instrument, 2011,32(9).
• 朱思峰, 刘芳, 戚玉涛, 柴争义, 吴建设. 异构无线网络中基于免疫计算的联合会话接纳控制[J]. 电子学报, 2011年11月.
• 朱思峰,刘芳,柴争义. 基于免疫计算的WCDMA网络基站选址优化[J]. 电子与信息学报, 2011年6月.
• 朱思峰,刘芳,柴争义. 基于免疫计算的TD-SCDMA网络基站选址优化[J]. 通信学报, 2011年1月.
• 柴争义,刘芳,朱思峰. 混沌量子克隆算法求解认知无线网络频谱分配问题, 物理学报, 2011, 60(6):  068803-1-068803-7.
• 刘芳,王爽,柳莹莹, 戚玉涛. 基于改进量子旋转门的量子进化数据聚类,电子学报,2011, 39 (9): 2008-2013.
• Jingjing Yu, Fang Liu, Jiao Wu, Licheng Jiao, Xiaowei He, Fast Source Reconstruction for Bioluminescence Tomography Based on Sparse Regularization, IEEE Transactions on Biomedical Engineering, 2010, 57(10): 2583 – 2586. (SCI: 000283590000010) .
• Wenge Zhang, Fang Liu, Licheng Jiao, Biao Hou, Shuang Wang, and Ronghua Shang. SAR Image Despeckling Based on Edge Detection and Feature Clustering in Bandelets Domain. IEEE Geoscience and Remote Sensing Letters, 2010,70(1): 131-135. (SCI:000276079000027) .
• M. Gong, L. Jiao, F. Liu, W. Ma. Immune Algorithm with Orthogonal Design based Initialization, Cloning, and Selection for Global Optimization. Knowledge and Information Systems, Springer, 2010,25(3): 523–549.
• Jingjing Yu, Fang Liu, L. C. Jiao, Shuyuan Yang, Xiaowei He. A finite element meshes aggregating approach to multiple-source reconstruction in bioluminescence tomography. International Journal of Biomedical Imaging. 2010,57(10): 2583-2586.
• J. Wu, F. Liu and L. Jiao, “WBCT-Based Multivariate Compressive Sensing using Image Statistical Model,” in Proceedings of Second International Conference on FCC, vol. 1, pp. 40-43, 2010.
• Zhang Wenge, Wang Suang,Liu Fang, Gao Xinbo,Jiao Licheng. Image Denoising Using Bandelet Transform and Hidden Markov Tree Models. CHINESE JOURNAL OF ELECTRONICS, 2010,19(4):646-650. (SCI:000284517800015) .
• Peng Y, Liu S, Liu Fang, Projective reconstruction with occlusions. Opto-Electronics Review, Jun. 2010: 150-154. 
• 柴争义, 刘芳.基于免疫克隆选择优化的认知无线网络频谱分配[J], 通信学报, 2010, 31(11) :92-100. 
• 张文革, 刘芳,焦李成,张向荣. 基于Bandelets域逐子块阈值的图像去噪, 电子学报, 2010, 38(2): 290-294. 
• 陈蓉伟, 刘芳, 郝红侠.基于EHMM-HMT和MSWHMT的多尺度纹理图像分割,软件学报,2010, 21(9): 2206-2223.
• 夏柱昌,刘芳, 公茂果, 戚玉涛. 基于记忆库拉马克进化算法的作业车间调度. 软件学报,2010, 21(12): 3082−3093.
• 宋晓峰, 王爽, 刘芳. 基于区域MRF和贝叶斯置信传播的SAR图像分割. 电子学报，2010, 38 (12): 2822-2826.
• W.G. Zhang, F. Liu and L.C. Jiao.SAR Image Despeckling via Bilateral Filtering. IET Electronics Letters, 2009,45(15):781-783. 
• Zhang Wenge, Liu Fang, Jiao Licheng and Gao Xinbo. SAR image despeckling based on edge detection and nonsubsampled second generation Bandelets. Journal of Systems Engineering and Electronics. 2009, 20(3):519-526.
• 张文革,刘芳,高新波,焦李成 一种自适应多尺度积阈值的图像去噪算法. 电子与信息学报，2009, 31(8) : 1779-1785. 
• Hao Hongxia, Liu Fang, Jiao Licheng. Image enhancement based on intrascale dependencies of the second generation curvelet transform. Proceeding of SPIE. 2009. v 7498. 749849. 
• Jiao Wu, Fang Liu, Licheng Jiao. Reconstruction of images from compressive sensing based on the stagewise fast LASSO. Proceeding of SPIE. 2009. v 7498. 749848. 
• Jingjing Yu, Fang Liu, Licheng Jiao, Xiaowei He. Three-dimensional source reconstruction for bioluminescence tomography using the LSQR methods with preconditioning. Proceeding of SPIE. 2009. v 7497. 74971N1-7.
• Liu, Fang; Liu, Yingying; Hao, Hongxia . Unsupervised SAR image segmentation based on quantum-inspired evolutionary gaussian mixture model, APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings, 2009:809-812.
• Liu, Fang; Wang, Hu; Hao, Hongxia .Fletcher-reeves conjugate gradient for sparse reconstruction: Application to image compressed sensing, APSAR 2009 - 2009 Asia-Pacific Conference on Synthetic Aperture Radar, Proceedings, 2009:322-325. 
• Liu Fang, Yang Kai, Hao Hongxia, Hou Biao, Zhong Hua. Texutre image segmentation using Brushlet-domain hidden Markov models. Proceeding of SPIE. 2009. v 7498. 749854. 
• Liu Fang, Qi Yutao, Xia Zhuchang, Hao Hongxia. A discrete differential evolution algorithm for the job shop scheduling problem. Proceedings of the 1st ACM/SIGEVO, GEC09, 2009: 879-882.
• Qi, Yutao , Liu, Fang , Jiao, Licheng .A parallel artificial immune model for optimization.CIS 2009 - 2009 International Conference on Computational Intelligence and Security:20-24. 
• X. Zhang, L. Jiao, F. Liu, L. Bo, M. Gong. Spectral Clustering Ensemble Applied to Texture Features for SAR Image Segmentation. IEEE Transactions on Geoscience and Remote Sensing, 2008, 46(7): 2126–2136.
• Yutao Qi, Licheng Jiao, Fang Liu. Multi-Agent Immune Memory Clone based Multicast Routing. Chinese Journal Electronics. 2008, 17(2): 289-292.
• 潘晓英,刘芳, 焦李成, 多执行模型项目调度问题的克隆选择优化, 模式识别与人工智能, 2008, 21(3): 303-309,2008. 
• 刘芳, 潘晓英.基于免疫克隆选择的块匹配运动估计, 软件学报, 2007,18(4)：850-860. 
• 金海燕, 刘芳, 焦李成, 基于多尺度对比塔和方向滤波器组的图像融合, 电子学报,2007,35(7): 95-100. 
• Fang Liu, Junying Liu. SAR image denoising based on wedgelet and dual-tree complex wavelet transform. ISPACS2007 Nov.28-Dec.1, 2007 Xiamen, China. pp.385-388. 
• Liu, Fang; Liu, Junying; Gao, Yi. Image fusion based on wedgelet and wavelet. 2007 International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2007: 682-685.
• Yutao Qi, Fang Liu,Licheng Jiao, Pheromone Based Dynamic Vaccination for Immune Algorithms. ICCS2007, LNCS4490, 2007,1053-1060.
• Yangyang Li, Fang Liu. A Novel Immune Clonal Algorithm. ICNC 2006，Part Ⅱ,LNCS 4222, pp.31-40 2006. 
• Fang Liu, Yun Tian, Intrusion detection based on Clustering Organizational Co-Evolutionary Classification,FSKD 2006, LNAI 4223,pp.1113-1120. 
• Fang Liu, Liqi  Wei, A Polyclonal Selection Clustering for Packet Classification, FSKD 2006, LNAI 4223,pp.1096-1104. 
• Fang Liu, Yuan Liu,  Xi Chen, Jin-shi Wang, Multi-Agent Immune Clonal Selection Algorithm Based Multicast Routing,ICNC 2006, Part Ⅱ,LNCS 4222,pp.319-327. 
• Xiaoying Pan, Fang Liu, Licheng Jiao, a dynamic clonal selection algorithm for project optimization scheduling, Lecture Notes in Computer Science, The 6th International Conference on Simulated Evolution and Learning, pp: 821-828, 2006. 
• Fang Liu, Zhao Jing, An immune clonal selection scheduling algorithm for input-queued witches, v 4247 LNCS 2006, pp. 790-797, 
• 刘芳,骆岚.免疫小波网络的入侵检测.模式识别与人工智能,2006,19(2), pp.243-248. 

1. Fang Liu, Yutao Qi, Jingjing Ma, Maoguo Gong, Ronghua Shang, Yangyang Li and Licheng Jiao. High Performance Immune Clonal Algorithm for Solving Large Scale TSP. Traveling Salesman Problem, Theory and Applications, Book edited by: Donald Davendra, ISBN: 978-953-307-426-9, Publisher: InTech, Publishing date: December 2010.
2. 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2006.6。
3. 焦李成、刘芳、缑水平、刘静, 陈莉，智能数据挖掘与知识发现，西安电子科技大学出版社版社2006.8。
4. 焦李成、张向荣、侯彪、王爽、刘芳， 智能SAR图像处理与解译，科学出版社, 2008。
5. 焦李成、侯彪、王爽、刘芳，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。
6. 焦李成、公茂果、王爽、侯彪、刘芳、张向荣、周伟达，自然计算、机器学习与图像理解前沿，西安电子科技大学出版社，2008。
7. 焦李成、周伟达、张莉、刘芳、薄列峰、缑水平、张向荣，智能目标识别与分类，科学出版社，2010。
8. 焦李成、尚荣华、马文萍、公茂果、李阳阳、刘芳，多目标优化免疫算法理论和应用，科学出版社，2010。
9. 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
10. 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
11. 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
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. Jiao, Licheng, Ronghua Shang, Fang Liu, and Weitong Zhang. Brain and Nature-Inspired Learning, Computation and Recognition. Elsevier, 2020.