李映科研成果

个人经历 Personal experience 工作经历 教授，博士生导师。1991年毕业于西北工业大学自动控制系，1999年在空军工程大学通信与信息专业获硕士学位，2002年在西安电子科技大学雷达信号处理国家重点实验室电路与系统专业获博士学位。2003年2月到2005年5月在西北工业大学计算机科学与技术博士后流动站工作，2009年1月至7月在澳大利亚悉尼大学进行高级访问研究，2010年8月至2010年9月在比利时布鲁塞尔自由大学做合作研究。2011年12月至2012年1月在香港理工大学做合作研究，2015年6月至2015年9月在英国亚伯大学做合作研究，2019年7月至2019年9月在澳大利亚阿德莱德大学做合作研究。 内容来自集群智慧云企服 软件著作权666元代写全部资料全国受理

教育教学

荣誉获奖 Awards Information 多源图像协同分析洪水冰凌监测技术及应用，陕西省科学技术一等奖，2017光学空间目标监测图像处理关键技术及应用系统，国防技术发明一等奖，2017陕西省第十三届自然科学优秀学术论文三等奖，2017陕西省第十二届自然科学优秀学术论文二等奖，2013陕西省第十二届自然科学优秀学术论文三等奖，2013海量****图像快速处理技术，国防科学技术二等奖，2011多源多目标协同感知技术及应用，陕西省科学技术二等奖，2011SAR图像处理关键技术研究及应用，陕西省科学技术二等奖，2009陕西省第十届自然科学优秀学术论文三等奖，2008陕西省第九届自然科学优秀学术论文二等奖，2006

荣誉获奖

科学研究 Scientific Research 近年来主持了包括国家自然科学基金、国家重点研发计划子课题、装备预研领域基金、航空科学基金、陕西省自然科学基金、航天支撑基金项目等纵向项目和其它横向项目十余项，已在国内外重要学术期刊，如TGYB、TFS、TGRS和自动化学报、电子学报等，重要国际会议，如ICCV、ICIP等上发表论文 150余篇，其中有120余篇论文被SCI和EI索引，多次获陕西省届自然科学优秀论文奖。科研成果获陕西省科学技术一等奖、国防科技进步一等奖等多项省部级奖励，申请发明专利60余项，获得授权发明专利38项，申请软件著作权10余项。担任2011年智能科学与智能数据工程中外交流研讨会（ISCIDE2011）组织委员会主席、第八届全国信号与信息处理会议组织委员会主席，以及2009年亚洲计算机视觉国际会议（ACCV 2009）、2009年图像和图形学国际会议（ICIG2009）、亚太信号与信息处理协会2011峰会（APSIPA ASC 2011）的出版主席，担任TFS、TGRS等多个国际期刊的审稿人。 内容来自集群智慧云企服

科学研究

学术成果 Academic Achievements    2022年1.       Haokui Zhang, Ying Li*, Hao Chen, Chengrong Gong, Zongwen Bai, and Chunhua Shen, Memory-Efficient Hierarchical Neural Architecture Search for Image Restoration, International Journal of Computer Vision, 2022(130):157–178 (CCF A类期刊, IF: 7.410)2.       Qingping Zheng, Jiankang Deng, Zheng Zhu, Ying Li*, Stefanos Zafeiriou, Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing, CVPR 2022 (CCF A类会议)3.       Xizhe Xue, Haokui Zhang, Bei Fang, Zongwen bai, and Ying Li*, Grafting Transformer on Automatically Designed Convolutional Neural Network for Hyperspectral Image Classification, IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2022.3180685 (SCI 1区, IF: 5.855).4.       Jing Yang, Chanyue Wu, Tengfei You, Dong Wang, Ying Li*, Changjing Shang, Qiang Shen. Hierarchical Spatio-Spectral Fusion for Hyperspectral Image Super Resolution via Sparse Representation and Pre-trained Deep Model. Knowledge-Based Systems, 2022, doi:10.1016/j.knosys.2022.1101705.       Haokui Zhang, Chengrong Gong, Yunpeng Bai, Zongwen Bai, Ying Li*, 3D-ANAS: 3D Asymmetric Neural Architecture Search for Fast Hyperspectral Image Classification，IEEE Transactions on Geoscience and Remote Sensing, doi:10.1109/TGRS.2021.3079123 (SCI 1区, IF: 5.855)6.       Dong Wang, Yunpeng Bai, Chanyue Wu, Ying Li*, Changjing Shang, Qiang Shen, Convolutional LSTM-based Hierarchical Feature Fusion for Multispectral Pan-sharpening IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2021.3104221 (SCI 1区, IF: 5.855)7.       Xizhe Xue, Ying Li*, Xiaoyue Yin, Changjing Shang, Taoxin Peng and Qiang Shen, Semantic-aware Real-time Correlation Tracking Framework for UAV Videos, IEEE Transactions on Cybernetics, 2022, 52(4):2418-2029, doi:10.1109/TCYB.2020.3005453 (SCI 1区, IF: 11.079).8.       Jing Yang, Changjing Shang, Ying Li*, Fangyi Li and Qiang Shen, Constructing ANFIS with Sparse Data through Group-Based Rule Interpolation: An Evolutionary Approach, IEEE Trans. on Fuzzy Systems, 2022. 30(4): 893-907, doi:10.1109/TFUZZ.2021.3049949 (SCI 1区, IF: 9.518).9.   Qingping Zheng, Ying Li*, Ling Zheng and Qiang Shen, Progressively Real-time Video Salient Object Detection via Cascaded Fully Convolutional Networks with Motion Attention, Neurocomputing, 2022, 467:465-475, doi:10.1016/j.neucom.2021.10.007 (SCI 2区, IF: 4.438)10.   Di Li, Yunpeng Bai, Zongwen Bai, Ying Li, Changjing Shang, Qiang Shen, Decomposed Neural Architecture Search for image denoising, Applied Soft Computing, 2022, 124:108914, doi: 10.1016/j.asoc.2022.108914 (SCI 2区, IF:6.725).11.   Dong Wang, Pei Zhang, Yunpeng Bai, Ying Li*. MetaPan: Unsupervised Adaptation With Meta-Learning for Multispectral Pansharpening, IEEE Geoscience and Remote Sensing Letters, 2022, 19: 5513505, doi: 10.1109/LGRS.2022.3198141 (SCI 2区, IF: 3.833).12.   Lingyi Liu, Yunpeng Bai and Ying Li*, Locality-Aware Rotated Ship Detection in High-Resolution Remote Sensing Imagery Based on Multiscale Convolutional Network, IEEE Geoscience and Remote Sensing Letters, 2022, 12: 3502805, doi: 10.1109/LGRS.2020.3048425 (SCI 2区, IF: 3.833).13.   李方轶，李映*，杨静，基于模糊规则的插值推理算法综述，计算机学报，2022，45（8）：1687-1711.14.   呼延烺，李映*，蒋冬梅，张艳宁，周诠，魏佳圆，刘娟妮，在轨高效目标检测加速技术，宇航学报（录用）15.   Bin Lin, Yunpeng Bai, Bendu Bai, Ying Li*, Robust Correlation Tracking for UAV with Feature Integration and Response Map Enhancement, Remote Sensing, 2022, 14, 4073, doi:10.3390/rs14164073 (SCI 2区, IF: 3.275).16.   Xianxiang Qin, Yanning Zhang, Ying Li, Yinglei Cheng, Wangsheng Yu, Peng Wang and Huanxin Zou, Distance Measures of Polarimetric SAR Image Data: A Survey, Remote Sensing, 2022, 14, 5873, doi:10.3390/rs14225873 (SCI 2区, IF: 3.275).17.   Bin Lin, Xizhe Xue, Ying Li*, Qiang Shen, Learning correlation filter with fused feature and reliable response for real？time tracking, Journal of Real-Time Image Processing, 2022, doi: 10.1007/s11554-022-01195-2 (SCI 3区, IF: 2.358).18.   Xuan Hou, Yunpeng Bai, Haonan Shi, Ying Li*, Coarse-to-fine Unsupervised Change Detection for Remote Sensing Images via Object-based MRF and Inception UNet, IEEE ICASSP 2022（CCF B类会议）2021年1.       Yenan Jiang, Ying Li*, Shanrong Zou, Haokui Zhang and Yunpeng Bai, Hyperspectral Image Classification with Spatial Consistence Using Fully Convolutional Spatial Propagation Network, IEEE Transactions on Geoscience and Remote Sensing, 2021, 59(12):10425-1-437  doi: 10.1109/TGRS.2021.3049282 (SCI 1区, IF: 5.855).2.       Zongwen Bai, Ying Li*, Marcin Wo？niak, Meili Zhou, Di Li, DecomVQANet: Decomposing Visual Question Answering Deep Network via tensor decomposition and regression, Pattern Recognition, 2021, 110, 107538, doi:10.1016/j.patcog.2020.107538 (SCI 1区, IF: 7.196). （ESI高被引论文）3.       Jing Yang, Changjing Shang, Ying Li*, Fangyi Li and Qiang Shen, ANFIS Construction with Sparse Data via Group Rule Interpolation, IEEE Transactions on Cybernetics, 2021,51(5): 2773-2786, doi: 10.1109/TCYB.2019.2952267 (SCI 1区, IF: 11.079).4.       Xuan Hou, Yunpeng Bai, Ying Li*, Changjing Shang and Qiang Shen, High-Resolution Triplet Network with Dynamic Multiscale Feature for Change Detection on Satellite Images, ISPRS Journal of Photogrammetry and Remote Sensing. 2021, 177:103–115. (SCI 1区, IF: 7.319)5.       Fangyi Li, Changjing Shang, Ying Li, Jing Yang and Qiang Shen. Approximate Reasoning with Fuzzy Rule Interpolation: Background and Recent Advances[J]. Artificial Intelligence Review, 2021, 54:4543–4590. (SCI 二区，IF: 8.139)6.       Pei Zhang, Guoliang Fan, Chanyue Wu, Dong Wang and Ying Li*, Task-Adaptive Embedding Learning with Dynamic Kernel Fusion for Few-Shot Remote Sensing Scene Classification. Remote Sensing, 2021, 13, 4200, doi:10.3390/rs13214200 (SCI 2区, IF: 3.275).7.       Xuan Hou, Yunpeng Bai, Yefan Xie, and Ying Li*, Mass Segmentation for whole Mammograms via Attentive Multi-Task Learning Framework, Physics in Medicine and Biology, 2021, 66, 105015.（SCI 2区, IF: 3.609）8.       Pei Zhang, Yunpeng Bai, Dong Wang, Bendu Bai, Ying Li*, A Meta-Learning Framework for Few-Shot Classification of Remote Sensing Scene, IEEE ICASSP 2021（CCF B类会议）9.       Dong Wang, Yunpeng Bai, Bendu Bai, Chanyue Wu, Ying Li*, Heterogeneous Two-Channel Network with Hierarchical Feature Prefusion for Multispectral Pan-Sharpening, IEEE ICASSP 2021（CCF B类会议）10.   Pei Zhang, Ying Li*, Dong Wang, and Jiyue Wang, RS-SSKD: Self-Supervision Equipped with Knowledge Distillation for Few-Shot Remote Sensing Scene Classification, Sensors 2021, 21, 1566 (SCI 2区, IF: 4.509).11.   Lang Huyan Yunpeng Bai, Ying Li*, Dongmei Jiang, Yanning Zhang, Quan Zhou, Jiayuan Wei, Juanni Liu, Yi Zhang and Tao Cui, A Lightweight Object Detection Framework for Remote Sensing Images, Remote Sensing, 2021, 13, 683 (SCI 2区, IF: 3.275).12.   Pei Zhang, Yunpeng Bai, Dong Wang, Bendu Bai and Ying Li*, Few-Shot Classification of Aerial Scene Images via Meta-Learning, Remote Sensing, 2021, 13, 108 (SCI 2区, IF: 3.275). （ESI高被引论文）13.   Yi Zhang,*, Lei Fu, Ying Li, and Yanning Zhang, HDFNet: Hierarchical Dynamic Fusion Network for Change Detection in Optical Aerial Images, Remote Sensing, 2021, 13, 1440 (SCI 2区, IF: 3.275).14.   Yi Zhang*, Shizhou Zhang, Ying Li and Yanning Zhang, Single- and Cross-Modality Near Duplicate Image Pairs Detection via Spatial Transformer Comparing CNN, Sensors, 2021, 21, 255 (SCI 2区, IF: 4.509).2020年:1.       Fangyi Li, Ying Li*, Changjing Shang, Qiang Shen，Fuzzy Knowledge-based Prediction through Weighted Rule Interpolation, IEEE Transactions on Cybernetics, 2020, 50(10): 4508-4517, doi:10.1109/TCYB.2018.2887340 (SCI 1区, IF: 11.079).2.       Fangyi Li, Changjing Shang, Ying Li*, and Qiang Shen, Interpretable mammographic mass classification with fuzzy interpolative reasoning, Knowledge-Based Systems, Volume 191, 5 March 2020, 105279, DOI:10.1016/j.knosys.2019.105279 (SCI 1区, IF: 5.921).3.       Haokui Zhang, Ying Li*, Hao Chen, Chunhua Shen, Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising, CVPR 2020，（CCF A类会议）. 4.       Fangyi Li, Changjing Shang, Ying Li*, Qiang Shen，Interpolation with Just Two Nearest Neighbouring Weighted Fuzzy Rules, IEEE Trans. on Fuzzy Systems, 2020, 28(9): 2255-2262 (SCI 1区, IF: 9.518).5.       Bei Fang, Ying Li*, Haokui Zhang, and Jonathan Cheung-Wai Chan, Collaborative Learning of Lightweight Convolutional Neural Network and Deep Clustering for Hyperspectral Image Semi-supervised Classification with Limited Training Samples, ISPRS Journal of Photogrammetry and Remote Sensing, 2020, 161: 164-178 (SCI 1区, IF: 7.319) （ESI高被引论文）.6.       Wenbo Li, Ying Li*, and Jonathan Cheung-Wai Chan, Thick Cloud Removal with optical and SAR Imagery via Convolutional-Mapping-Deconvolutional Network, IEEE Transactions on Geoscience and Remote Sensing, 2020, 58(6): ？ 2865-2879(SCI 1区, IF:5.855).7.       Bei Fang, Yunpeng Bai, Ying Li*, Combining Spectral Unmixing and 3D/2D Dense Networks with Early-Exiting Strategy for Hyperspectral Image Classification, Remote Sensing, 2020, 12, 779; doi:10.3390/rs12050779 (SCI 2区, IF: 4.509).8.       Zongwen Bai, Ying Li*, Xiaohuan Chen, Tingting Yi, Wei Wei, Marcin Wozniak, and Robertas Damasevicius, Real-Time Video Stitching for Mine Surveillance Using a Hybrid Image Registration Method, Electronics, 2020, 9, 1336; doi:10.3390/electronics9091336.9.       Yi Zhang, Shizhou Zhang, Ying Li and Yanning Zhang, Coarse-to-Fine Satellite Images Change Detection Framework via Boundary-Aware Attentive Network, Sensors, 2020, 6735, doi:10.3390/s20236735 (SCI 2区, IF:3.275). 2019年：1.       Haokui Zhang, Chunhua Shen, Ying Li*, Yuanzhouhan Cao, Yu Liu, and Youliang Yan, Exploiting temporal consistency for real-time video depth estimation, International Conference on Computer Vision (ICCV) 2019 (CCF A类会议).2.       Haokui Zhang, Ying Li*, Yenan Jiang, Peng Wang, Qiang Shen, and Chunhua Shen, Hyperspectral Classification Based on Lightweight 3-D-CNN with Transfer Learning, IEEE Transactions on Geoscience and Remote Sensing, 2019 57(8): 5813-5828 (SCI 1区, IF: 5.855).3.       Wenbo Li, Ying Li*, Di Chen, Jonathan Cheung-Wai Chan, Thin cloud removal with residual symmetrical concatenation network, ISPRS Journal of Photogrammetry and Remote Sensing, 153 (2019) 137–150 (SCI 1区, IF: 7.319).4.       Yenan Jiang, Ying Li*, and Haokui Zhang, Hyperspectral Image Classification Based on 3-D Separable ResNet and Transfer Learning, IEEE Geoscience and Remote Sensing Letters, 2019, 16(12): 1949-1953 (SCI 2区, IF: 3.833).5.       Jingyu Li, Ying Li*, Yayuan Xiao and Yunpeng Bai, HDRANet: Hybrid Dilated Residual Attention Network for SAR Image Despeckling, Remote Sensing, 2019, 11, 2921; doi:10.3390/rs11242921 (SCI 2区, IF: 4.509).6.       Dong Wang, Ying Li*, Li Ma, Zongwen Bai and Jonathan Cheung-Wai Chan, Going Deeper with Densely Connected Convolutional Neural Networks for Multispectral Pansharpening, Remote Sensing, 2019, 11, 2608; doi:10.3390/rs11222608 (SCI 2区, IF: 4.509).7.       Bei Fang, Ying Li*, Haokui Zhang, Jonathan Cheung-Wai Chan, Hyperspectral Images Classification based on Dense Convolutional Networks with Spectral-wise Attention Mechanism, Remote Sensing, 2019, 11, 159; doi:10.3390/rs11020159(SCI 2区, IF: 4.509). （ESI高被引论文）8.       Xizhe Xue, Ying Li*, Robust Particle Tracking via Spatio-temporal Context Learning and Multi-task Joint Local Sparse Representation, Multimedia Tools and Applications, 2019, 78(15): 21187–21204 (SCI 4区, IF:2.313).9.       林彬，李映。基于高置信度更新策略的高速相关滤波跟踪算法，光学学报，2019,39（4）：0415003-1-12.2018年： 1.       XizheXue, Ying Li*, Hao Dongand Qiang Shen, Robust Correlation Tracking for UAV Videos viaFeature Fusion and Saliency Proposals. Remote Sens. 2018, 10, 1644, doi:10.3390/rs10101644 (SCI 2区, IF: 4.118).2.       Fangyi Li, Changjing Shang, Ying Li*, Jing Yang, Qiang Shen，Fuzzy Rule-Based Interpolative ReasoningSupported by Attribute Ranking. IEEE Trans. on Fuzzy Systems,2018, 26(5): 2758-2773 (SCI 1区, IF: 8.759)3.       Bin Lin, Ying Li*, XizheXue, Jonathan Cheung-Wai Chan. Robust Long-term Correlation Tracking using Convolutional Featuresand Detection Proposals, Neurocomputing, 317(2018): 137-148 (SCI 2区, IF:4.072)4.       XizheXue , Ying Li*, and Qiang Shen, Unmanned Aerial Vehicle Object Tracking by Correlation Filter with Adaptive Appearance Model, Sensors, 2018, 18, 2751; doi:10.3390/s18092751 (SCI 3区, IF: 3.031)5.       Ying Li*, Haokui Zhang, XizheXue, Yenan Jiang, Qiang Shen. Deep learning for remote sensing image classification: A survey. WIRS Data Mining and Knowledge Discovery, 2018, DOI: 10.1002/widm.1264 (SCI3区, IF:2.541)6.       Fangyi Li, Ying Li*, Changjing Shang, and Qiang Shen. Improving Fuzzy Rule Interpolation Performance with Information Gain-guided Antecedent Weighting, Soft Computing, 2018, 22(10):3125-3139 (SCI3区, IF:2.784)7.       Ying Li*, Fan Cui, XizheXue, Jonathan Cheung-Wai Chan, Coarse-to-fine salient object detection based on deep convolutional neural networks. Signal Processing: Image Communication, 2018, 64:21-32(SCI 3区, IF:2.814)8.       Bei Fang, Ying Li*, Haokui Zhangand Jonathan Cheung-Wai Chan, Semi-Supervised Deep Learning Classification forHyperspectral Image Based on Dual-StrategySample Selection. Remote Sensing, 2018, 10, 574 (SCI 2区, IF: 4.118)9.       Chen Ding, Ying Li*, Yong Xia, Lei Zhang, Yanning Zhang. Automatic Kernel Size Determination for Deep Neural Networks basedHyperspectral Image Classification. Remote Sensing, 2018, 10, 415 (SCI 2区, IF: 4.118)10.   Fangyi Li, Changjing Shang, Ying Li, Qiang Shen.Feature Ranking-Guided Fuzzy Rule Interpolation for Mammographic Mass Shape Classification. 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2018.11.   Jing Yang, Changjing Shang, Ying Li*, Fangyi Li and Qiang Shen. Generating ANFISs through Rule Interpolation: An Initial Investigation. 2018 UK Workshop on Computational Intelligence (UKCI). Springer, 2018.     2017年：1.       Ying Li*, Haokui Zhang, and Qiang Shen. Spectral–Spatial Classification of HyperspectralImagery with 3D Convolutional Neural Network. Remote Sensing, 2017, 9, 67. (ESI高被引论文，SCI 2区, IF: 4.118)2.       Jing Yang, Ying Li*, Jonathan Cheung-Wai Chan, and Qiang Shen. Image Fusion for Spatial Enhancement of Hyperspectral Image via Pixel Group Based Non-Local Sparse Representation. Remote Sensing, 2017, 9, 53. (SCI 2区, IF: 4.118)3.       Chen Ding, Ying Li*, Yong Xia, Wei Wei, Lei Zhang, and Yanning Zhang, Convolutional Neural Networks Based HyperspectralImage Classification Method with Adaptive Kernels, Remote Sensing, 2017, 9(6):618. (SCI 2区, IF: 4.118)4.       Ying Li*, Wenbo Li, and Chunhua Shen. Removal of Optically Thick Clouds from High Resolution Satellite Imagery Using Dictionary Group Learning and Inter-dictionary Non-local Joint Sparse Coding, IEEE Journal of Selected Topics on Applied Earth Observation and Remote Sensing, 2017,10(5): 1870-1882. (SCI 3区, IF:3.392)5.       Haokui Zhang, Ying Li*, Yuzhu Zhang, and Qiang Shen. Spectral-Spatial Classification of Hyperspectral Imagery Using a Dual-Channel Convolutional Neural Network. Remote Sensing Letters. 2017, 8(5): 438-447. (ESI高被引论文，SCI 4区, IF: 2.024)6.       Tao Liu, Ying Li*, Ying Cao, and Qiang Shen, Change detection in multitemporal synthetic aperture radar images using dual-channel convolutional neural network. Journal of Applied Remote Sensing, 2017, 11(4),042615 (SCI 4区, IF:1.344)7.       Ying Li*, Fangyi Li, Kaixing Yang, Chris Price and Qiang Shen, Remote Sensing Image Registration Based on Gaussian-Hermite Moments and the Pseudo-RANSAC Algorithm. Remote Sensing Letters, 2017, 8(12):1163–1172 (SCI 4区, IF: 2.024).8.       Fangyi Li, Changjing Shang, Ying Li*, Qiang Shen. Feature Ranking-guided Fuzzy Rule Interpolation, 2017 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE), 2017.9.       Jing Yang, Changjing Shang, Ying Li*, and Qiang Shen. Single Frame Image Super Resolution via Learning Multiple ANFIS Mappings. 2017 IEEE International Conference on Fuzzy Systems(FUZZ-IEEE), 2017.    2016年：1.       Chengyuan Chen, Neil Mac Parthaláin, Ying Li, Chris Price, Chai Quek, Qiang Shen. Rough-fuzzy rule interpolation. Information Sciences 2016, 351: 1–17. (SCI 1区, IF: 5.524)2.       Ying Li*, Fangyi Li, Bendu Bai, and Qiang Shen. Image Fusion via Non-Local Sparse K-SVD Dictionary Learning, Applied Optics, 2016,55(7): 1814-1823(SCI 3区, IF: 1.973)3.       Fangyi Li, Qiang Shen, Ying Li* and Neil Mac Parthaláin. Handwritten Chinese Character Recognition Using Fuzzy Image Alignment. Soft Computing, 2016, 20:2939–2949 (SCI3区, IF: 2.784)4.       Fangyi Li, Changjing Shang, Ying Li*and Qiang Shen. Guiding Fuzzy Rule Interpolation with Information Gains. Proceedings of the 2016 Annual Workshop on Computational Intelligence. (Best paper award).5.       Hao KuiXhang, Ying Li*, Spectral-Spatial Classification of Hyperspectral Imagery Based on Deep Convolutional Network. 2016 International Conference on Orange Technologies (ICOT2016).6.       Tao Liu , Ying Li* , Longhao Xu. Dual-Channel Convolutional Neural Network forChange Detection of Multitemporal SAR Images, 2016 International Conference on Orange Technologies (ICOT2016).7.       Ying Li *, Longhao Xu, Tao Liu. Unsupervised change detection for remote sensing images based on object-based MRF and stacked autoencoders. 2016 International Conference on Orange Technologies (ICOT2016).       2015年：1.       Bo Huang, Ying Li*, Xiaoyu Han, Yuanzheng Cui, Wenbo Li, and RongrongLi ,Cloud Removal From Optical Satellite Imagery WithSAR Imagery Using Sparse Representation. IEEE Geoscience and Remote Sensing Letters, 2015, 12(5): 1046-1050 (SCI 3区, IF: 3.534)2.       Bendu Bai, Ying Li*, Jiulun Fan, Chris Price,and Qiang Shen. Object Tracking Based on Incremental Bi-2DPCA Learning with Sparse Structure, Applied Optics, 2015,54(10): 2897-2907(SCI 3区, IF: 1.973)3.       Ying Li*, Pei Zhang, Content-Based Image Retrieval Using Hybrid Micro-Structure Descriptor, Lecture Notes in Computer Science, 2015,9242, 411–419.4.       Chen Ding, Ying Li*, Yongsheng Pan, Tao Zhou, Pengcheng Gao, Yong Xia. Compressive Tracking Moving Cells in Time-Lapse Image Sequences, 2015 International Conference on Orange Technologies（ICOT2015）  2015年之前：1.       Ying Li*, Jie Hu, Yu Jia. Automatic SAR Image Enhancement Based on Nonsubsampled Contourlet Transform and Memetic Algorithm, Neurocomputing, 2014, 134: 70-78 (SCI 2区, IF:4.072) .2.       Ying Li*,Hongli Gong, David Feng, Yanning Zhang. An Adaptive Method of Speckle Reduction and Feature Enhancement for SAR Images Based on Curvelet Transform and Particle Swarm Optimization. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(8): 3105-3116. (SCI 1区, IF:5.63)3.       Y. Li and L. C. Jiao. Identification of Nonlinear Systems Using Neurofuzzy Networks. Chinese Journal of Electronics, 2001,10(3). (SCI 4区, IF:0.945).4.       Lei Xiao-gang, Li Ying*, Zhao Na, Zhang Yan-ning. Fast Segmentation Approach for SAR Image Based on Simple Markov Random Field. Journal of Systems Engineering and Electronics, 2010, 21(1): 31-36. (SCI 4区, IF:0.721)5.       Ying Hou, Ying Li*. Hyperspectral Image Lossy-to-Lossless Compression Using 3D SPEZBC Algorithm Based on KLT and Wavelet Transform, Lecture Notes in Computer Science, 2012, 7202, 713-721.6.       Guohong Liang, Ying Li*, Removing thin cloud from remote sensing digital images based on robust kernelregression, Proceedings of the 2014 International Conference on Orange Technologies (ICOT2014).7.       Ying Li*, Huijun Ning, David Feng, Yanning Zhang. Nonlinear Curvelet Diffusion for Noisy Image Enhancement. Proceedings of 2011 IEEE International Conference on Image Processing (ICIP 2011). (CCF B类会议, Oral)8.       Ying Li*, Jiaxi Liang, Jie Hu. A Multi-swarm Cooperative Hybrid Particle SwarmOptimizer. Proceeding of 2010 Sixth International Conference on Natural Computation (ICNC 2010).9.       Ying Li*, Xing Xu, Ben-du Bai, Yan-ning Zhang. Remote sensing Image Fusion Based on Fast Discrete Curvelet Transform, Proceedings of 2008 International Conference on Machine Learning and Cybernetics （ICMLC2008）.10.   Ying Li*, Bendu Bai, and Yanning Zhang. An Adaptive Immune Genetic Algorithm for Edge Detection. Lecture Notes in Artificial Intelligence 4682, 2007: 565-571.11.   Ying Li*, Jianglin Yang, Li Sun, and Yanning Zhang. SAR Speckle Reduction Based on Undecimated Tree-structured Wavelet Transform. Lecture Notes in Computer Science 4222, 2006: 706-710. (SCI).12.   Ying Li*, Yanning Zhang, Yinglei Cheng, Rongchun Zhao. An Effective Method for Image Segmentation. Proceedings of 2005 International Conference on Machine Learning and Cybernetics.(ICMLC2005）13.   LI Ying*, ZHANG Yan-ning, ZHAO Rong-chun, Jiao Li-cheng. An edge detector based on parallel quantum-inspired evolutionary algorithm. Proceedings of 2004 International Conference on Machine Learning and Cybernetics (ICMLC2004) 14.   Y Li, Y. N Zhang, R. C. Zhao, and L. C. Jiao. A New Method for Edge Detection. Proceedings of the Second International Conference on Machine Learning and Cybernetics, Xi’an, 2-5 November, 2003, China.15.   Y. Li, and L. C. Jiao. Unification of support vector machines and soft computing paradigms for pattern recognition. SPIE’s Multispectral Image Processing and Pattern Recognition, 2001.16.   Y. Li, B. D. Bai, and L. C. Jiao. Adaptive neurofuzzy network for identification of the complicated nonlinear system. Proceedings of the IEEE 2000 International Symposium on Circuits and Systems (ISCAS2000)

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