学术主页：    谷歌学术        DBLP

   2024

• Jiahao Wang, Fang Liu, Licheng Jiao, Yingjia Gao, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu. Visual and Language Collaborative Learning for RGBT Object Tracking[J]. IEEE Transactions on Circuits and Systems for Video Technology, doi: 10.1109/TCSVT.2024.3436878, 2024. NEW!
• Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Shuo Li, Lingling Li, Puhua Chen, Xu Liu. Multi-modal visual tracking based on textual generation[J]. Information Fusion, doi: 10.1016/j.inffus.2024.102531, 2024. NEW!
• Shuo Li, Fang Liu, Licheng Jiao, Xu Liu, Puhua Chen, Lingling Li. Mask-Guided Correlation Learning for Few-Shot Segmentation in Remote Sensing Imagery[J]. IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2024.3417965, 2024. NEW!
• Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Long Sun, Shuo Li, Lingling Li, Xu Liu. Multi-grained Gradual Inference Model for Multimedia Event Extraction[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024. NEW!
• Yang Liu, Fang Liu, Licheng Jiao, Qianyue Bao, Lingling Li, Yuwei Guo, Puhua Chen. A Knowledge-based Hierarchical Causal Inference Network for Video Action Recognition[J]. IEEE Transactions on Multimedia, 2024. NEW!
• Hao Wang, Fang Liu, Licheng Jiao, Jiahao Wang, Zehua Hao, Shuo Li, Lingling Li, Puhua Chen and Xu Liu. ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization [C]. In Proceedings of the AAAI Conference on Artificial Intelligence, 2024.  NEW!
• Jiahao Wang, Fang Liu, Licheng Jiao, Yingjia Gao, Hao Wang, Lingling Li, Puhua Chen, Xu Liu and Shuo Li. Satellite Video Object Tracking based on Location Prompts[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2024.  NEW!
• Fang Liu, Xiaoxue Qian, Licheng Jiao, Xixangrong Zhang, Lingling Li and Yuanhao Cui. Contrastive Learning-Based Dual Dynamic GCN for SAR Image Scene Classification[J]. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp. 390-404, Jan. 2024.  NEW!

   2023

• Shuo Li, Fang Liu, Licheng Jiao, Xu Liu and Puhua Chen, Learning Salient Feature for Salient Object Detection Without Labels[J]. IEEE Transactions on Cybernetics, vol.53, no.2, pp. 1012-1025, 2023.
• Shuo Li, Fang Liu, Zehua Hao, Licheng Jiao, Xu Liu and Yuwei Guo. MinEnt: Minimum entropy for self-supervised representation learning[J]. Pattern Recognition, vol.138, 109364, 2023.
• Pengfang Li, Fang Liu, Licheng Jiao, Shuo Lia, Lingling Li, Xu Liu and Xinyan Huang. Knowledge Transduction for Cross-Domain Few-Shot Learning[J]. Pattern Recognition, 2023.
• Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Xinyan Huang, Shuo Li, Puhua Chen and Xu Liu. Knowledge transfer evolutionary search for lightweight neural architecture with dynamic inference[J]. Pattern Recognition, vol.143, 109790, 2023.
• Jiahao Wang, Fang Liu, Licheng Jiao, Hao Wang, Hua Yang, Xu Liu, Lingling Li and Puhua Chen. SSCFNet: A Spatial-spectral Cross Fusion Network for Remote Sensing Change Detection[J]. Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023.
• Jiahao Wang, Fang Liu, Hao Wang, Xu Liu, Licheng Jiao, Hua Yang, Lingling Li and Puhua Chen. SDCDNet: A Semi-Dual Change Detection Network Framework with Super-Weak Lable for Remote Sensing Image[J]. IEEE Transactions on Geoscience and Remote Sensing, VOL.61, 5612714, 2023.
• Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li, Meijuan Yang, Jianlong Wang and Xu Liu. Curvelet Adversarial Augmented Neural Network for SAR Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, VOL.61, 4400717, 2023.
• Pengfang Li, Fang Liu, Licheng Jiao, Lingling Li, Puhua Chen and Shuo Li. Task context transformer and GCN for few-shot learning of cross-domain[J]. Neurocomputing, vol.548, 2023, 126433.
• Xinyan Huang, Fang Liu, Yuanhao Cui, Puhua Chen, Lingling Li, Pengfang Li. Faster and Better: A Lightweight Transformer Network for Remote Sensing Scene Classification[J]. Remote Sensing, 15(14):3645, 2023. 
• 黄欣研, 刘芳, 鲍骞月, 李任鹏, 刘旭, 李玲玲, 陈璞花, 刘洋. 基于多任务学习和身份约束的生成对抗网络人脸校正识别方法[J]. 电子学报, Vol.51, No.10, pp:2936-2949, 2023.

  2022

• Shuo Li, Fang Liu and Licheng Jiao. Self-Training Multi-Sequence Learning with Transformer for Weakly Supervised Video Anomaly Detection[C]. In Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36(2), pp. 1395-1403, 2022.
• Qianyue Bao, Fang Liu, Yang Liu, Licheng Jiao, Xu Liu and Lingling Li. Hierarchical scene normality-binding modeling for anomaly detection in surveillance videos[C]. In Proceedings of the 30th ACM International Conference on Multimedia, pp. 6103-6112, 2022.
• Shuo Li, Fang Liu, Licheng Jiao, Puhua Chen, Xu Liu and Liling Li. MFNet: A Novel GNN-Based Multi-Level Feature Network With Superpixel Priors[J]. In IEEE Transactions on Image Processing, vol. 31, pp. 7306-7321, 2022.
• Yuanhao Cui, Fang Liu, Licheng Jiao, Yuwei Guo, Xuefeng Liang, Lingling Li, Shuyuan Yang and Xiaoxue Qian.Polarimetric Multipath Convolutional Neural Network for PolSAR Image Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, VOL. 60, 5207118, 2022.
• Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Puhua Chen, Lingling Li, Jing Gu and Yuanhao Cui. A Hybrid Network With Structural Constraints for SAR Image Scene Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, VOL. 60, 5202717, 2022.
• Shuo Li, Fang Liu, Zehua Hao, Kaibo Zhao and Licheng Jiao. Unsupervised Few-Shot Image Classification by Learning Features into Clustering Space[C]. In European Conference on Computer Vision, vol. 13691, pp. 420-436, 2022.
• Yaoyang Du, Fang Liu, Licheng Jiao, Zehua Hao, Shuo Li, Xu Liu, Jing Liu. Augmentative contrastive learning for one-shot object detection[J]. Neurocomputing, 513: 13-24, 2022.
• Yuanhao Cui, Fang Liu, Xu Liu, Lingling Li and Xiaoxue Qian. TCSPANet: Two-Staged Contrastive Learning and Sub-Patch Attention Based Network for PolSAR Image Classification[J]. Remote Sensing, 2022, 14, 2451.
• 李鹏芳, 刘芳, 李玲玲, 刘旭, 冯志玺, 焦李成, 熊怡梦. 嵌入标签语义的元特征再学习和重加权小样本目标检. 计算机学报，Vol.45, No.12, pp:2561-2575, 2022.

  2021之前

• Xiaoxue Qian, Fang Liu, Licheng Jiao, Xiangrong Zhang, Yuwei Guo, Xu Liu and Yuanhao Cui. Ridgelet-Nets With Speckle Reduction Regularization for SAR Image Scene Classification[J]. IEEE Transactions on Geoscience and Remote Sensing, Vol.59, No.11, pp:9290-9306, November 2021.
• Yake Zhang, Fang Liu, Licheng Jiao, Shuyuan Yang, Lingling Li and Meijuan Yang. Discriminative Sketch Topic Model With Structural Constraint for SAR Image Classification[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, Vol.13:5730-5745, 2020.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)
• Fang Liu, Puhua Chen, Yuanjie Li, Licheng Jiao, Dashen Cui, Yuanhao Cui, Jing Gu. Structural feature learning-based unsupervised semantic segmentation of synthetic aperture radar images. Journal of applied remote sensing, 2019,13(1):014501-1～014501-23.
• Fang Liu, Xiaoxue Qian, Licheng Jiao, Zonghao Sun, Biao Hou, and Ronghua Shang. REPRESENTATION LEARNING VIA VARIATIONAL BAYES NETWORK WITH G0 DISTRIBUTION FOR SAR IMAGE SEGMENTATION, IGRASS2019.
• 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. 

著作

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.

专利（部分）

1. 一种人脸检测质量评分方法及系统，刘芳;任保家;黄欣研;李玲玲;刘洋;刘旭;郭雨薇;郝泽华，ZL202110688239.2
2. 基于3D卷积和多级语义信息融合的行为识别方法及系统，刘芳;唐瑜;李玲玲;杨苗苗;李鹏芳;李硕;郭雨薇;黄欣研，ZL202110657341.6
3. 一种基于边Transformer图神经网络的小样本图像分类方法及系统，刘芳;张瀚;马文萍;李玲玲;李鹏芳;杨苗苗;刘洋;刘旭，ZL202110657352.4
4. 一种基于语义感知图神经网络的小样本图像分类方法及系统，刘芳;马文萍;张瀚;李玲玲;刘旭;陈璞花;郭雨薇;李鹏芳，ZL202110656523.1
5. 一种多特征融合的孪生网络目标跟踪方法及系统，刘芳;焦李成;张松玲;李玲玲;刘旭;陈璞华;古晶;郭雨薇，ZL202110603006.8
6. 基于两阶段掩码指导的生成对抗网络人脸校正方法及系统，刘芳;李任鹏;李玲玲;焦李成;黄欣研;刘旭;陈璞华;李硕，ZL202110603035.4
7. 基于K-组合均值特征增强的小样本目标检测方法及系统，刘芳;焦李成;刘静;刘旭;李鹏芳;李玲玲;郭雨薇;古晶，ZL202110605372.7
8. 一种基于素描信息的光学遥感图像舰船轮廓提取方法，陈璞花;江立;刘芳;焦李成;孙杰;古晶，ZL201910512627.8
9. 一种基于信息交互和迁移学习的SAR图像飞机目标检测方法，刘芳;焦李成;王莹;李玲玲;郭雨薇;侯彪;陈璞花;马文萍;杨淑媛，ZL201910485819.4
10. 一种基于素描图候选框策略和Fast R-CNN的飞机目标检测方法，刘芳;李玲玲;闫俊起;焦李成;陈璞华;郭雨薇;马文萍;杨淑媛;侯彪，ZL201910485808.6
11. 基于几何结构双路卷积网络的光学遥感图像目标检测方法，刘芳;李玲玲;王哲;焦李成;陈璞花;郭雨薇;马文萍;张丹，ZL201910460842.8
12. 基于素描信息和超像素分割的光学遥感图像海陆分割方法，陈璞花;江立;刘芳;焦李成;古晶;刘红英;郭雨薇，ZL201910375910.0
13. 一种基于轮廓结构学习模型的SAR图像语义分割方法，刘芳;张雅科;焦李成;郭雨薇;李玲玲;侯彪;杨淑媛;陈璞花;古晶，ZL201811184691.X
14. 基于素描图和先验约束的高分辨SAR图像路网检测方法，刘芳;李玲玲;王雅静;焦李成;郭雨薇;古晶;陈璞花;马文萍;马晶晶，ZL201810697379.4
15. 基于素描表示和结构化聚类的非凸压缩感知优化重构方法，刘芳;李婉;李婷婷;陈璞花;郝红侠;焦李成;马文萍;古晶，ZL201710707916.4
16. 一种基于G0分布的随机梯度变分贝叶斯SAR图像分割方法，刘芳;孙宗豪;焦李成;李婷婷;郝红侠;古晶;马文萍;陈璞花，ZL201710702367.1
17. 刘芳、李玲玲、马丽、焦李成、郭雨薇、古晶、陈璞花、马文萍、马晶晶，基于素描结构特征聚类的SAR图像样本块选择方法，ZL201810583495.3
18. 刘芳、陈璞花、孟义鹏、焦李成、李婷婷、古晶、马文萍、郝红侠。基于结构学习和素描特性推理网络的SAR图像分割方法，ZL201710453446.3
19. 刘芳、段一平、李婷婷、焦李成、郝红侠、陈璞华、马晶晶、尚荣华，基于贝叶斯网络的SAR图像识别方法，ZL201611237231.X
20. 刘芳、段一平、李婷婷、焦李成、郝红侠、陈璞华、马晶晶、尚荣华，基于语义条件随机场模型的SAR图像分割方法，ZL201611237232.4
21. 刘芳、李婷婷、王亚明、焦李成、郝红侠、陈璞华、马文萍、马晶晶，基于脊波滤波器和反卷积结构模型的SAR图像分割方法，ZL201611269937.4
22. 刘芳、李婷婷、刘思静、焦李成、郝红侠、陈璞华、马文萍、马晶晶，基于曲线波滤波器和卷积结构学习的SAR图像分割方法，ZL201611260213.3
23. 刘芳、郝红侠、石程、焦李成、杨淑媛、尚荣华、马文萍、马晶晶，基于深度脊波神经网络的图像分类方法，ZL201610898502.X
24. 刘芳、李婷婷、袁月、焦李成、郝红侠、尚荣华、马文萍、马晶晶，基于素描结构的随机梯度贝叶斯SAR图像分割方法，ZL201611262026.9
25. 刘芳、郝红侠、孟义鹏、焦李成、李婷婷、尚荣华、马文萍、马晶晶，基于特征学习和素描线段约束的SAR图像分割方法，ZL201611260214.8
26. 刘芳、郝红侠、张振鹏、焦李成、李婷婷、尚荣华、马文萍、马晶晶，基于反卷积网络和素描图方向约束的SAR图像分割方法，ZL201611257450.4
27. 刘芳、李婷婷、赵鹏、焦李成、郝红侠、陈璞华、马文萍、马晶晶，基于脊波滤波器和卷积结构学习模型的SAR图像分割方法，ZL201611260197.8
28. 刘芳、李婷婷、李远杰、焦李成、郝红侠、古晶、陈璞花、马文萍、马晶晶。基于两阶段聚类的SAR图像语义分割方法，ZL201710629047.8
29. 刘芳、李婷婷、崔妲珅、焦李成、郝红侠、尚荣华、马文萍、马晶晶，基于素描结构的平均场变分贝叶斯SAR图像分割方法，ZL201611262018.4