1、发表论文

英文期刊

[1]Yilin Wang, Yuanxiang Li*, etc. Self-supervised Health Representation Decomposition Based on Contrast Learning[J]. Reliability Engineering and System Safety (IF: 7.247), accepted.
[2]Zongcheng Zuo, Yuanxiang Li*. A Framework for Reconstructing Building Parametric Models with Hierarchical Relationships from Point Clouds[J]. International Journal of Applied Earth Observation and Geoinformation, 2023.119 :103327(IF: 7.672). https://doi.org/10.1016/j.jag.2023.103327
[3]Yuxuan Zhang, Yuanxiang Li*, etc. Missing-Edge Aware Knowledge Graph Inductive Inference through Dual Graph Learning and Traversing[J]. Expert Systems with Applications. 2023, 213 :118969(IF: 8.665), https://doi.org/10.1016/j.eswa.2022.118969

[4]Yifei Yu, Yuanxiang Li*, etc. SQNN: A Spike-wave index Quantification Neural Network with a pre-labeling algorithm for epileptiform activity identification and quantification in children[J]. Journal of Neural Engineering (Q1 5.379), 19 (2022) 016040.

[5]Yuxuan Zhang, Yuanxiang Li*, etc. Adaptive Spatio-Temporal Graph Information Fusion for Remaining Useful Life Prediction[J]. IEEE Sensors Journal, 2022, 22(4): 3334-3347.

[6]Yi-Lin Wang, Zong-Chang Han, Yong-Ping Zhao∗, Huan Wu, Hui-Jun Tan, Yuxuan Zhang, Yuanxiang Li. Establishment of Super Sonic Inlet Flow Pattern Monitoring System: A Workflow[J]. Aerospace Science and Technology, 2022, 120:107297

[7]Dawei Li, Yudi Liu, Yuanxiang Li, Fangjie Yu, Yucheng Su and Shangjin Lin. Retrieval of the sea surface height from CYGNSS data with the tropospheric delay. Journal of Tropical Meteorology, 2021, 27(3):282-290.

[8]Mengni Wang, Yuanxiang Li*, Yuxuan Zhang, Lei Jia. Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation of Aircraft Engines. Aerospace Systems, 2021, 4:29-36.

[9]Xishuai Peng,Yi Lu Murphey,Ruirui Liu,Yuanxiang Li. Driving maneuver early detection via sequence learning from vehicle signals and video images. Pattern Recognition, 2020, 103(2020):107276.( SCI IF:7.196)

[10]Z Li, Y-X Li*, B Xing, et al. OPD Analysis and Prediction in Aero Optics based on Dictionary Learning [J]. Aerospace Systems, 2019, 2(1):61-70.

[11]X Peng, Y-X Li*, J Luo, Y L Murphey. Domain Adaptation by Stacked Local Constraint Auto-Encoder Learning [J]. IEEE ACCESS, 2019, 7:108248-108260

[12]X Wei, H Shen, Y-X Li*, X Tang, F Wang, M Kleinsteuber, Y L Murphey. Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning [J]. IEEE Trans. on Neural Networks and Learning Systems, 2019, 30(1) : 175-189(SCI IF:7.982)

[13]X Peng, Y-X Li*, X Wei, J Luo, Y L Murphey. RGB-NIR Image Categorization with Prior Knowledge Transfer [J]. EURASIP Journal on Image and Video Processing, 2018 :149(1-12) (SCI IF:1.737)

[14]S Liu, S Gong, Y-X Li, Z Lu. Vectorial backstepping method-based trajectory tracking control for an under-actuated stratospheric airship. Aeronautical Journal -New Series, 2017, 121(1241) : 916-939(SCI IF: 0.525)

[15]Y Ding, Y-X Li*, W Yu. Learning from label proportions for SAR image classification [J]. EURASIP Journal on Advances in Signal Processing, 2017, 41: 1-12(SCI IF: 1.961)

[16]X Wei, Y-X Li*, H Shen, F Chen, M Kleinsteuber, Z-F Wang. Dynamical Texture Modeling via Joint Video Dictionary Learning [J]. IEEE Trans. on Image Processing, 2017, 26(6): 2929 - 2943 (SCI IF:5.071)引用2

[17]Z Jiang, Y-X Li*, F Yu, G Chen, W Yu. A damped Newton variational inversion method for SAR wind retrieval [J]. Journal of Geophysical Research: Atmospheres, 2017, 122(2):823-845(SCI IF:3.454)

[18]X Wei, Y-X Li*, H Shen, W Xiang, Y L Murphey. Joint Learning Sparsifying Linear Transformation for Low-Resolution Image Synthesis and Recognition [J]. Pattern Recognition, 2017, 66:412-424 (SCI IF:4.582) 引用4

[19]Gong, Sijie (1); Liu, Shiqian (1); Wu, Qi (1); Li, Yuxiang (1); Lv, Cong (1) . Fast robust adaptive backstepping control with its application to fault-tolerant flight envelope protection [J]. Journal of Aeronautics, Astronautics and Aviation, Series A, 2016, 48(1) :21-28 (EI)

[20]Z Zhou*, L Ma, Y-X Li*, et al. Variational PCA Fusion for Pan-sharpening Very High Resolution Imagery[J]. SCIENCE CHINA Information Sciences, 2014, 57(11): 112107:1-10 (SCI IF:0.656)

[21]Y Ding, Y-X Li*, W Yu. SAR Image Classification Based on CRFs with Integration of Local Label Context and Pairwise Label Compatibility[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (J-STARS),2014, 7(1):300-306 (SCI IF:2.777) 18

[22]S Wang, Y Xia, P Dong, J Luo*, Q Huang, D Feng and Y-X Li*. Bias Correction for Magnetic Resonance Images via Joint Entropy Regularization[J]. Bio-Medical Materials and Engineering, 2014, 24(1): 1239–1245 (SCI IF:1.225)

[23]Z Zhou, Y-X Li*, et al. Pan-Sharpening: A Fast Variational Fusion Approach[J]. SCIENCE CHINA Information Sciences, 2012, 55(3): 615-625

[24]Q Bai, K Wei, Z Jing, Y-X Li, et al. Tropical cyclone spiral band extraction and center locating by binary ant colony optimization[J]. SCIENCE CHINA Earth Sciences, 2012, 55(2): 332-346

[25]K Wei, Z Jing, Y-X Li. Extended scheme of Chan-Vese models for color image segmentation[J]. IET Image Processing, 2011,5(7) : 583-597.

[26]K Wei, Z Jing, Y-X Li, Liu S. Spiral band model for locating Tropical Cyclone centers[J]. Pattern Recognition Letters, 2011, 32(6): 761-770.

[27]R Han, Z Jing, Y-X Li. Kernel-based visual tracking with continuous adaptive distribution[J]. Optical Engineering, 2009, 48(5): 050501-1~3.

[28]R Han, Z Jing, Y-X Li. Kernel Based Visual Tracking with Variant Spatial Resolution Model[J]. IEE Electronics Letters. Electronics Letters, 44(8): 517-518.

[29]R Han, Z Jing, Y-X Li. Kernel Based Visual Tracking with Scale Invariant Features[J]. Chinese Optics Letters, 6(3): 168-171. 8

[30]Y-X Li, C.L. Tan, X Ding. A Hybrid Post-processing System for Offline Handwritten Chinese Script Recognition[J]. Pattern Analysis and Applications, 2005, 8(3):272-286. 27 19

[31]Y-X Li, C.L. Tan, X Ding. Contextual Post-processing based on the Confusion Matrix in Offline Handwritten Chinese Script Recognition[J]. Pattern Recognition, 2004, 37(9):1901-1912. 44

[32]Y-X Li, X Ding, C.L. Tan. Combining Character-based Bigram with Word-based Bigram in Contextual Post-processing for Chinese Script Recognition[J]. ACM Transactions on Asian Language Information Processing, 2002, 1(4):297-309. 15 10

[33]Y-X Li, X Ding, C Liu. Chinese Language Model Adaptation and Its Application in Large-scale Input Data[J]. Journal of Chinese Language and Computing, 2001, 11(1) :30-37

 

中文期刊 总引用256次(2017.1.3) 

[34]刘磊,李元祥,倪润生. 基于卷积与图网络的SAR与可见光图像配准[J]. 《光学学报》录用

[35]许苗,李元祥,钟娟娟,左宗成,熊伟. L-UNet:轻量化云遮挡道路提取网络[J]. 中国图象图形学报, 2021,26(11).

[36]周拥军,羌丽,李元祥. 国外高分辨率对地成像观测系统现状与发展趋势[J]. 飞控与探测,2021, 4(05).

[37]甄诚,杨永胜,李元祥,钟娟娟. 基于多尺度生成对抗网络的大气湍流图像复原[J].计算机工程, 2021, 47(11).

[38]孟恒宇,李元祥. 基于Transformer重建的时序数据异常检测与关系提取[J].计算机工程, 2021, 47(2).

[39]刘嘉玮, 李元祥, 龚政, 刘心刚, 周拥军. 全卷积网络的电线识别方法[J]. 中国图象图形学报, 2020,25(5).

[40]陈辰,周拥军,李元祥,庹红娅,周瑜,骆建华.基于U-net分割和HEIV模型的遥感图像配准方法[J].计算机工程,2019,45(11.

[41]刘村,李元祥,周拥军,骆建华. 基于卷积神经网络的视频图像超分辨率重建方法[J]. 计算机应用研究, 2019, 36(4).

[42]王洁, 周鑫,李元祥. 飞机供电系统健康管理技术研究[J]. 航空科学技术, 2019年11期.

[43]陆永帅,李元祥,刘波,刘辉,崔林丽. 深度残差网络高光谱遥感数据霾监测[J]. 光学学报, 2017, 37(11).

[44]陆永帅, 李元祥*, 等. 深度置信网络模型的机载多光谱数据罂粟识别[J]. 遥感信息, 2017,32(8).

[45]徐俊, 李元祥, 等. 基于核字典学习的图像分类[J]. 计算机应用研究, 2017, 34(12).

[46]张素霞, 李元祥*, 周则明, 骆建华, 郁文贤. 光学遥感影像舰船型号识别研究[J]. 上海交通大学学报, 2016, 50(9).

[47]王哲远, 李元祥*, 郁文贤. SAR图像质量评估研究进展[J]. 遥感信息, 2016, 31(5).

[48]胡燕, 李元祥, 郁文贤. 基于多特征决策融合的SAR飞机识别[J]. 现代电子技术, 2016, 39(21).

[49]郑思龙, 李元祥*. 基于字典学习的非线性降维方法[J]. 自动化学报, 2016, 42(7).

[50]刘瑾瑾, 李元祥*, 张增辉, 郁文贤. 基于小波阈值和字典学习的合成孔径雷达图像压缩[J]. 上海交通大学学报,2015, 49(10):1534-1539.

[51]郁文贤, 柳彬, 丁拥科, 胡昊, 李元祥, 等. 高分辨率、多时相SAR图像数据集的构建[J]. 测绘通报,2014(S0). 2

[52] 张浩淼, 庹红娅, 杨超, 敬忠良, 李元祥. 基于概率的地形感知告警系统前视阈值分析[J]. 系统仿真学报,2013,25(3). 2

[53] 郑凌霄, 刘世前, 李元祥, 等. 基于LPV鲁棒滤波器的大型民机作动器故障检测[J]. 信息与控制,2014,43(5).

[54]沈霁, 李元祥*. 参数自适应的KPCA先验形状约束目标分割[J]. 中国图象图形学报, 2013,18(7). 5

[55]吴文通,李元祥*. 局部测地距离估计的增量ISOMAP算法[J]. 上海交通大学学报,2013,47(7). 2

[56]褚红莉,李元祥*. 基于黑色通道的图像快速去雾优化算法[J]. 电子学报,2013,41(4). 引用51次

[57]尹雯,李元祥*. 一种基于稀疏表示的遥感图像融合方法[J]. 光学学报,2013,33(4). 引用25次

[58]肖刚, 敬忠良, 李元祥, 等. 综合化飞机环境监视系统研究及其数字仿真测试[J]. 航空学报,2012,33(12). 5

[59]乔文峰, 李元祥*. 基于灰色预测与Chan-Vese模型的台风中心定位[J]. 激光与红外,2012,42(4). 1

[60]胡琦, 李元祥*. 基于多普勒激光雷达的风场预测[J]. 激光与红外,2012,42(3). 6

[61]邹伟,李元祥*. 基于压缩感知的人脸识别研究[J]. 计算机工程,2012,38(24). 8

[62]朱文渊,李元祥*, 敬忠良. 飞机环境监视系统的仿真研究[J]. 电光与控制,2011,18(9). 3

[63]杨超, 庹红娅, 张浩淼, 敬忠良, 李元祥. 民机地形感知警告系统前视功能分析及仿真. 电光与控制,2011, 18(7). 5

[64]邹伟, 李元祥*. 汶川地震前上空的地震云分析及自动检测研究[J]. 科学技术与工程, 2011, 11(22). 1

[65]韩洲, 李元祥*. 一种基于先验形状CV模型的目标分割[J]. 信号处理, 2011, 20(11). 7

[66]魏宪, 李元祥*. 基于改进ISOMAP算法的分类研究[J]. 上海交通大学学报, 2010, 44(7). 10

[67]马进, 周国标,  李元祥. ARMA模型参数估计的GW-LS两段算法[J].科学技术与工程, 2010, 10(3). 4

[68]殷琪琪, 李元祥*, 敬忠良. 多平台组网OPNET仿真技术[J]. 火力与指挥控制,2010年08期. 3

[69]李元祥, 许鹏, 敬忠良. 空间目标序列图像识别技术[J].哈尔滨工业大学学报2009, 41(11):101-105. 4

[70]魏坤, 李元祥, 敬忠良. 基于SOM聚类的台风云型模式发现[J]. 红外, 2009, 30(12).

[71]魏坤, 肖刚, 李元祥. 面向世博的危险源监测应急系统的设计与实现[J]. 计算机工程, 2008, 34(12). 5

[72]李元祥, 邓黎, 敬忠良. MODIS多光谱图像压缩研究[J]. 电子与信息学报, 2008, 30(10). 1

[73]李艳兵, 李元祥*. 基于内容的卫星云图检索方法研究[J]. 解放军理工大学学报, 2008, 9(2). 8

[74]邓黎, 李元祥*. 基于波段相关性判定和SPIHT的MODIS图像无损压缩. 光电工程, 2007, 34(9). 2

[75]刘志刚, 李元祥*. 一种改进的基于最大似然法的MODIS云分类算法[J].  计算机研究与发展, 2007,44(11).

[76]刘志刚, 李元祥*. 基于动态聚类的MODIS云检测算法[J]. 遥感信息, 2007, 8(5). 12

[77]邓黎, 李元祥*. 基于整数小波变换的MODIS多光谱图像无损压缩[J]. 解放军理工大学学报, 2007, 8(1). 2

[78]李艳兵, 李元祥*. 卫星云图形态特征提取和表示的一种方法[J]. 大气科学学报, 2006, 29(5). 15

[79]李元祥, 丁晓青, 吴佑寿. 一种字词结合的汉字识别上下文处理新方法[J]. 计算机研究与发展, 2002,39(7). 16

[80]李元祥,丁晓青. 一种利用逻辑回归模型的候选字可信度估计方法[J]. 模式识别与人工智能, 2002, 15(2). 3

[81]李元祥, 丁晓青, 刘长松. 一种基于噪声信道模型的汉字识别后处理新方法[J]. 清华大学学报(自然科学版), 2001, 41(1). 16

[82]李元祥, 刘长松, 丁晓青. 一种利用校对信息的汉字识别自适应后处理方法[J]. 中文信息学报, 2001,15(1). 9

[83]刘长松, 武振军, 李元祥. 用统计方法实现汉字输入的智能联想[J]. 中文信息学报, 2000, 14(1). 10

[84]李元祥, 丁晓青. 基于HMM的汉语文本识别后处理研究[J]. 中文信息学报, 1999, 13(4). 40

 

国际会议

[85]] Wang Z-J, Wang X-Y, et al. Information Extraction of Aircraft Maintenance Records for Knowledge Graph Construction-v2[C]. 2021 Prognostics and System Health Management Conference (PHM-Yantan), under review, Oct.13-16, 2022, Yantai, China.

[86]Z Gong, Y-X Li. Ground-based Cloud Image Segmentation Method based on Efficient UNet with Attention Mechanism[C]. 2022 International Conference on Aerospace System Science and Engineering (ICASSE), Jul.6-8, 2022, Toronto, Canada

[87]G-R Wu, J-H Ma, R-S Ni, Y-X Li. Deep Learning-based Screen Text Detection and Recognition for Onboard Maintenance Systems[C]. 2022 International Conference on Aerospace System Science and Engineering (ICASSE), Jul.6-8, 2022, Toronto, Canada

[88]Z-C Zuo, Y-X Li. AN AUTOMATIC BUILDING MODELS’ PARAMETRER RECONSTRUCTION METHOD FROM POINT CLOUDS [C]. 2022 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 11-16, 2022

[89]Wang Y-L, Y-X Li, Y-X Zhang, et al. RUSHAP: An Unified Approach to Interpret Deep Learning Model for Remaining Useful Life Estimation [C]. 2021 Prognostics and System Health Management Conference (PHM-Nanjing), Oct.15-17, 2021, Nanjing, China.

[90]Zhang S-T, Zhang Y-N, Yang Y-S, et al. Knowledge Graph Construction for Fault Diagnosis of Aircraft Environmental Control System [C]. 2021 Prognostics and System Health Management Conference (PHM-Nanjing), Oct.15-17, 2021, Nanjing, China.

[91]J-C Lu, Y-X Li, Z-C Zuo. SatMVS: A Novel 3D Reconstruction Pipeline for Remote Sensing Satellite Imagery. 2021 International Conference on Aerospace System Science and Engineering (ICASSE), Jul.14-16, 2021, Moscow, Russia

[92]Z-C Zuo, Y-X Li. A SAR-to-Optical Image Translation Method based on PIX2PIX[C]. 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), July 11-16, 2021, Brussels, Belgium, IGARSS 2021: 3026-3029

[93]Zhang Y, Li Y, Wei X, et al. Adaptive Spatio-Temporal Graph Convolutional Neural Network for Remaining Useful Life Estimation[C]. 2020 International Joint Conference on Neural Networks (IJCNN), July.19,2020, Glasgow, UK.

[94]Y-N Zhang, Y-X Li, Y-X Zhang, L Jia. Distance-Based Embedding Learning for Remaining Useful Life Estimation[C]. 2020 Prognostics and System Health Management Conference (PHM-Shanghai), Oct.16-Oct.18, 2020, Shanghai, China.

[95]X Yin, Y-X Li, Y-X Zhang, Y-N Zhang,L Jia. Construction of Health Index for Aircraft Air-Conditioning  System Health Prediction. 2020 Prognostics and System Health Management Conference (PHM-Shanghai), Oct.16-Oct.18, 2020, Shanghai, China.

[96]M Xu, Y Li, J Zhong, Y Zhang, X Liu. Edge Prediction Net for Reconstructing Road Labels Contaminated by Clouds[C]. 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Sept.26-Oct. 2, 2020, Hawaii, USA

[97]Peng X, Zhao A, Wang S, Murphey Y, Li Y. Attention-Driven Driving Maneuver Detection System[C]. 2019 International Joint Conference on Neural Networks (IJCNN). July 14-19, 2019, Budapest, Hungary.

[98]X Peng, Y-X Li, Y L Murphey, X Wei and J Luo. Domain Adaptation with One-step Transformation. 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Nov.18-21, 2018, Bengaluru, India

[99]Y Liu, Y-X Li, J Liu, Y Zhou, Y L Murphey. FOD Detection using DenseNet with Focal Loss of Object Samples for Airport Runway. 2018 IEEE Symposium Series on Computational Intelligence (SSCI), Nov.18-21, 2018, Bengaluru, India

[100]X Peng, Y L Murphey, R Liu, Y-X Li. Maneuvers Recognition via Vehicle Signal and Video. 2018 International Conference on Pattern Recognition (ICPR), Aug.20-24, 2018, Beijing, China

[101]Y Shi, Y-X Li, J-W Liu and X-G Liu, Y Murphey. Weather Recognition Based on Edge Deterioration and Convolutional Neural Networks. 2018 International Conference on Pattern Recognition (ICPR), Aug.20-24, 2018, Beijing, China

[102]C Chen, Y-J Zhou, Y-X Li, H-Y Tuo and Y Zhou. Remote Sensing Image Registration Based on the HEIV Model. 2018 International Conference on Aerospace System Science and Engineering  (ICASSE), Jul.31-Aug.1, 2018, Moscow, Russia

[103]X Peng, Y-X Li, J Luo and Y L Murphey. Traffic sign recognition with transfer learning. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Nov.27-Dec.1, 2017, Honolulu, Hawaii, USA.

[104]Y-X Zhang, Y-X Li, X Peng, H Zhao and K Shen. A recurrent neural network based method for predicting the state of aircraft air conditioning system. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Nov.27-Dec.1, 2017, Honolulu, Hawaii, USA.

[105]Y Shi, Y-X Li and X Wei. A Faster-RCNN based chemical fiber paper tube defect detection method. The 5th International Conf. on Enterprise Systems (ES2017), Sept. 22-24, 2017, Beijing, China

[106]C Liu, Y-X Li, J Luo and Y Zhou. A novel convolutional neural network architecture for image super-resolution based on channels combination. 20th International Conference on Information Fusion (ICIF 2017), Xi’an, China, July 10-13, 2017

[107]F Chen, Y Wang, Y-X Li, et al. An Experimental Investigation with Phosphorescent Imaging Technique on Spray Flow in Heated Air. 21st AIAA Int. Space Planes and Hypersonics Technologies Conference, Xiamen, China, March, 2017

[108]X Wei, Y-X Li, Y L Murphey. Joint learning dictionary and discriminative features for high dimensional data. ICPR2016, Cancun, Mexico, December, 2016.

[109]X Peng, Y-X Li, et al. Multi-modal scene categorization using multi-tasks learning. ICSP2016, Chengdu, Nov., 2016.

[110]J Xu, Y-X Li, et al. Object recognition with multi-source images based on kernel dictionary learning. ICSP2016, Chengdu, Nov., 2016.

[111]Z Wang, Y-X Li, W Yu, et al. Object detection capability evaluation for SAR images. IGARSS16, Beijing, China, July, 2016.

[112]Z Jiang, Y-X Li, W Xiang, et al. A damped Newton variational inversion for SAR wind retrieval. IGARSS16, Beijing, China, July, 2016.

[113]Y Ding, W Guo, Y-X Li, et al. SAR image classification based on CRFs with object structure priors. IGARSS16, Beijing, China, July, 2016.

[114]Y Han, Y-X Li, W Yu. SAR target segmentation based on shape prior. IGARSS14, Québec, Canada, July, 2014.

[115]T Wang, Y-X Li, H Xiong. A Novel Locally Active Learning Method for SAR Image Classification. IGARSS14, Québec, Canada, July, 2014.

[116]W Yin, Y-X Li. Sparse representation based pan-sharpening. IGARSS13, Melbourne, Australia, July, 2013.

[117]Ding YK, Qiu LZ, Yang PL, Zhou ZM, Li YX, et al. Scene Scattering Descriptor for Urban Classification in Very High Resolution SAR Images. IGARSS13, Melbourne, Australia, July, 2013.

[118]W Zhang, H Zhang, W Wang, Y-X Li, et al. An Efficient Geography Registration Method for InSAR Coherent Change Detection. IGARSS13, Melbourne, Australia, July, 2013.

[119]Zhou YH, Yu QZ, Yin W, Y Li. An Automatic Global-to-Local Image Registration based on SIFT and Thin-Plate Spline. IGARSS13, Melbourne, Australia, July, 2013.

[120]Zhou ZM, Yang PL Li YX, et al. Joint IHS and Variational Methods for Pan-Sharpening of Very High Resolution Imagery. IGARSS13, Melbourne, Australia, July, 2013.

[121]Qiu LZ, Gao L, Ding YK, Li YX, et al. Change Detection Method Using A New Difference Image for Remote Sensing Images. IGARSS13, Melbourne, Australia, July, 2013.

[122]Y-X Li, Q Hu. Wind-shear prediction with airport LIDAR data. IGARSS12, Munich, Germany, July 2012.

[123]W-F Qiao, Y-X Li. Tropical cyclones similarity analysis based on manifold learning. IGARSS12, Munich, Germany, July 2012.

[124]W-F Qiao, Y-X Li. The Application of Gray Model and Chan-Vese Model in Determining the Center of Tropical Cyclones. MIPPR 2011, Guilin, China, Nov. 2011.

[125]J-Z Song, Y-X Li. A Level Set Method for Radar Convective Storm Nowcasting. MIPPR 2011, Guilin, China, Nov. 2011.

[126]Y Xia, Y-X Li. Collision Resolving Model Based on Adaptive Contention Window and Backoff Time Decrease. ICISE 2011, Yangzhou, Nov. 2011.

[127]W-F Qiao, Y-X Li. Tropical cyclone center location based on Fisher discriminant and Chan-Vese model. ICMV2011, Hongkong, Jan.2011.

[128]J-Z Song, Y-X Li. A comprehensive framework for detecting and tracking space objects. ICMV2011, Hongkong, Jan.2011.

[129]Wei X, Y-X Li. Robust manifold learning using adaptive hierarchical neighborhood technique. ICMV2010, Hongkong, Dec.2010.

[130]Z-M Zhou, Y-X Li. A fast variational fusion approach for pan-sharpening. IEEE 10th Int. Conf. on Signal Processing (ICSP2010), Beijing, China, Oct. 2010.

[131]H Tuo, T Zhang, Y-X Li, et al. Sequence Image Registration Based on Motion Trajectory. 2010 3rd International Congress on Image and Signal Processing (CISP2010), Yantai, China, Oct. 2010.

[132]X Wei, Y-X Li. Extended ISOMAP based on neighborhood sets relation. CCPR2010, Chongqing, China, Nov. 2010.

[133]F Wu, Y-X Li, P Xu. Image Retrieval using Ellipse Shape Feature with Particle Swarm Optimization. ICMT2010, Ningbo, Oct. 2010.

[134]P Xu, Y-X Li, Z-L Jing. An Empirical Study of Content-Based Retrieval Methods for Typhoon Cloud Images. Proc. of 6th Int. Symp. on Multispectral Image Processing and Pattern Recognition (MIPPR2009),  Yichang, China, Oct. 2009.

[135]K Wei, Y-X Li, Z-L Jing. Typhoon Clouds System Segmentation with Multi-Channel Images Using Vector-Valued Chan-Vese Model. Proc. of 6th Int. Symp. on Multispectral Image Processing and Pattern Recognition (MIPPR2009), Yichang, China, Oct. 2009.

[136]Y-X Li, L Deng, Z-L Jing. MODIS image compression with optimal interband prediction and wavelet transform. Proc. of 4th Int. Conf. on Image and Graphics (ICIG2007), Aug. 2007, China. 205-209.

[137]Y-X Li, Y-B Li, Z-L Jing. Satellite Cloud Image Retrieval based on Deformable Circle Model,Proc. of 5th Int. Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2007), Nov. 2007, Wuhan, China.

[138]Y-X Li, C.L. Tan. An Empirical Study of Statistical Language Models for Contextual Post-processing of Chinese Script Recognition. Proc. of 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR-9), Tokyo, Japan, Oct. 26-29, 2004

[139]Y-X Li, C.L. Tan. Influence of Language Models and Candidate Set Size on Contextual Post-processing for Chinese Script Recognition. Proc. of 17th International Conference on Pattern Recognition (ICPR2004), Cambridge, UK, Aug. 23-26, 2004

[140]Y-X Li, X Zhu. Post-processing for Handwritten Chinese Address Recognition. Proc. of 2002 International Conference on Intelligent Information Technology (ICIIT-02), Beijing, China, Aug. 2002.

[141]Y-X Li, X Ding. Multiple Candidate Characters in the Post-processing for Chinese Character Recognition. Proc. of 2001 International Conference on Info-tech & Info-net (ICII2001), Beijing, China, Sept. 2001.

 

国内会议

[142]李元祥,尹雯,等. 基于稀疏表示的Pan-Sharpening算法. 第一届GF学术研讨会-卫星遥感与应用,北京,2012.12.

[143]刘瑾瑾, 李元祥. 基于波段分组预测的高光谱图像压缩. 高光谱成像技术及其应用研讨会,苏州,2012.11

[144]马进, 李元祥. 飞机环境监视系统的硬件设计.2010中国制导、导航与控制学术会议(CGNCC2010), 上海, 2010.8.

[145]马进, 李元祥. 基于IMA的飞机环境监视系统资源分配研究. 2010中国制导、导航与控制学术会议(CGNCC2010), 上海, 2010.8.

[146]敬忠良, 李元祥. 空间非合作目标形态测量与识别及相关技术发展研究.《863-704战略发展报告2007》, 863-704专题专家组, 2007年12月.

[147]李元祥, 等. 空间非合作目标探测、跟踪与识别技术. 863-704“空间在轨服务技术”研讨会,北京,2007年11月.

[148]邓黎, 李元祥. 基于波段相关性和SPIHT算法的MODIS图像压缩. 第13届全国“图象图形学”学术会议,南京,2006年11月.

[149]李艳兵,李元祥. 基于小波纹理特征的卫星云图检索. 第12届全国“图象图形学”学术会议,北京,2005年10月. 2

[150]李元祥,李艳兵. 一种基于形状特征的卫星云图检索方法. 第5届全国“信号与信息处理”联合学术会议,湖南张家界,2005年7月.

[151]李元祥. 用分类器集成方法提高遥感目标分类的精度. 中国科协第97次青年科学家论坛“高分辨率影像自动解译理论与应用方法研究”,北京,2005年6月.

[152]李元祥,丁晓青. 汉语语言模型自适应在大规模数据录入中的应用. Proc. of 2001 International Conference on Chinese Computing (ICCC2001), Singapore, Dec. 2001.

[153]李元祥,丁晓青. 汉字OCR候选字集扩充及其在后处理中的应用. 全国第五届计算语言学联合学术会议(JSCL-99),1999年11月,北京

[154]李元祥,王敏. 一种低速率图象压缩编码方案的实现. 全国第四届信号处理联合学术会议,1994年10月,武汉

 

2、专利及软件著作权

发明专利

[1]李元祥,张宇轩,彭焕春,周庆钱,张怡旎,吕骘. 基于知识图谱的民用飞机排故路径推理方法. 技术发明专利,申请号:202311776072.0,申请日期:2023年12月21日

[2]李元祥,王紫荆,王旭阳,张怡旎,张宇轩,杨永胜. 基于知识图谱的民用飞机需求分析方法. 技术发明专利,申请号:202311577063.9,申请日期:2023年11月24日

[3]李元祥,麻家骅,倪润生,计锦达,左宗成. 基于共视性的MVSNet代价体素构建方法. 技术发明专利,申请号:202310538986.7,申请日期:2023年5月15日

[4]李元祥,倪润生,李鑫晟. 基于最大索引图的可见光与SAR影像智能配准方法. 技术发明专利,申请号:202310462808.0,申请日期:2023年4月26日

[5]李元祥,计锦达,麻家骅,左宗成. 基于语义一致性的卫星遥感影像三维重建方法. 技术发明专利,申请号:202310462816.5,申请日期:2023年4月26日

[6]李元祥,张宇轩,殷欣,杨永胜,贾磊,王艺霖. 基于数据拟合基线模型的民机空调系统健康指数构建方法. 发明专利,ZL202211388959.8,申请日期:2022年11月8日

[7]李元祥,许苗,左宗成,周拥军,吴冠荣. 基于边缘信息的单幅遥感图像云去除方法. 发明专利,ZL202211391959.3,申请日期:2022年11月8日

[8]李元祥,刘嘉玮,龚政,庹红娅,周拥军. 基于深度可分离卷积神经网络的电线检测方法. 发明专利,ZL201811374574.X,授权日期:2021.09.07

[9]李元祥,刘嘉玮,刘运凯,周拥军. 基于局部二值模式的电线检测方法. 发明专利,ZL201810520384.8,授权日期:2021.01.01

[10]李元祥,彭希帅,徐俊,陆永帅,基于多源航片的异常场景识别方法,发明专利,ZL201610788622.4,授权日期:2019.04.19.

[11]李元祥,陆永帅,施雨舟,徐俊,彭希帅,基于深度残差网络的高光谱霾监测方法,发明专利,ZL201610783726.6,授权日期:2018.10.19.

[12]李元祥、尹雯、郁文贤、邱立忠,一种基于稀疏表示的遥感图像融合方法,发明专利,专利号:ZL 201310108594.3,授权日期:2016.05.18.

[13]李元祥、褚宏莉、刘瑾瑾,基于黑色通道的图像快速去雾优化方法,发明专利,专利号:ZL 201310019919.0,授权日期:2015.11.18.

[14]李元祥、韩洲、沈霁,一种基于先验形状和CV模型的目标分割方法,发明专利,专利号:ZL 201110247798.6,授权日期:2013.03.27.

[15]李元祥、夏羽、易平,基于自适应退避窗和退避速度的节点优化接入方法,发明专利,专利号:ZL 201110247813.7,授权日期:2014.04.09.

[16]易平、唐卓凡、李元祥、邹福泰,无线自组织网络中基于位置的数据包转发方法,专利号:ZL 201110082557.0,授权日期: 2013.12.25.

[17]李建勋、李元祥、朱金标,红外弱小目标连续检测跟踪方法,专利号:ZL 200810076935.2,授权日期:2013.11.27.

[18]庹红娅、敬忠良、张庭厚、李元祥,基于运动目标轨迹的动态图像配准方法,专利号:ZL 201010284808.9,授权日期:2013.04.24.

[19]李建勋、李元祥、刘坦,弱小目标二维图片噪声滤除中的匹配滤波方法,专利号:ZL 200910055610.0,授权日期:2012.01.25.

[20]魏坤、敬忠良、李元祥,矢量图像分割方法,专利号:ZL 201010199501.9,授权日期:2011.11.16.

[21]敬忠良、韩日升、李元祥,基于核及目标连续自适应分布特征的跟踪方法,专利号:ZL 200910049015.6,授权日期:2011.02.02.

 

软件著作权

[22]卫星遥感影像DSM快速生成软件V1.0,登记号:2023SR0779227(证书号: 软著登字第11366398号),登记日期:2023.7.3,著作权人:李元祥, 麻家骅, 左宗成

[23]卫星遥感异源图像配准CGNet软件V1.0,登记号:2023SR0779223(证书号:软著登字第11366394号),登记日期:2023.7.3,著作权人:李元祥,倪润生,李鑫晟

[24]基于视觉的低空飞行电线检测系统V1.0,登记号:2021SR1122416(证书号:软著登字第7845042号),登记日期:2021.7.29,著作权人:李元祥、龚政、刘磊、刘嘉玮、许苗、甄诚、李子佳

[25]高光谱雾霾监测软件V1.0,登记号:2016SR347780(证书号:软著登字第1526396号),登记日期:2016.12.01,著作权人:李元祥、陆永帅、施雨舟

[26]SAR图像质量评估软件V1.0,登记号:2014SR107737(证书号:软著登字第0776981号),登记日期:2014.07.29,著作权人:李元祥、王哲远、郁文贤

[27]飞机环境综合监视系统仿真软件V1.0,登记号:2011SR055514(证书号:软著登字第0319188号),登记日期:2011.08.06,著作权人:李元祥、朱文渊、宋金泽

 

3、论著

[1]  丁晓青 等著. 文字识别:原理、方法和实践 [M]. 清华大学出版社,2017.4(独立撰写第8章“利用上下文信息的文本识别后处理”(7万字))

[2]  骆建华 著, 李元祥 校. 奇异信息论及其应用[M]. 上海交通大学出版社, 2015.3

 

4、获奖

[1]  空基多平台多目标协同跟踪与信息融合,2012年教育部技术发明奖(二等奖),教育部,排名第六

[2]  THOCR-97综合集成汉字识别系统,1998年度教育部一等奖,排名第十六

 

5、科研项目

国防纵向:480万元

[1]上海八院联合基金,20/40万

[2]**应用基础技术测试评估系统技术,高分重大专项子课题,220万元,2014-2016(主持)

[3]公安禁毒与**领域应用技术验证,高分重大专项子课题,40万元,2015-2016(主持);

[4]SAR图像***目标识别软件插件,高分重大专项课题,30万元,2014-2015(主持);

[5]***目标接近与控制,军口863项目,20万元,2011-2012(主持)

[6]*****目标多模式在轨跟踪与形态识别技术,军口863项目,30万元,2010-2011(主持)

[7]*****目标多模式形态测量、跟踪与识别,军口863项目,25万元,2009-2010(主持)

[8]*****目标多模式形态测量、跟踪与识别,军口863项目,25万元,2008-2009(主持)

[9]*****目标形态测量、跟踪与识别技术,军口863项目,45万元,2007-2008(主持)

[10]复杂背景下****检测与智能化识别技术,国防预研项目,10万元,2014-2015(主持)

[11]复杂背景下**检测与识别技术,国防预研项目,20万元,2011-2013(主持)

[12]**协同**数据链及其仿真技术,国防预研项目,15万元,2009-2011(主持)

[13]超分辨率图像重建技术,中航工业产学研合作创新工程项目,20 / 50万元,2015-2017(技术负责人,副组长)

 

国防横向:57万元

[14]高光谱数据压缩算法应用研究,航天八院项目,16万元,2014-2015(主持)

[15]空间站多光谱图像压缩算法设计技术,航天八院项目,18万元,2012-2013(主持)

[16]SAR弱特征图像及匹配区选择技术,航天三院项目,25万元,2011-2013(主持)

 

民口纵向:188万元

[17]上海市经信委,上海市工业强基项目,GYQJ-2017-5-08,民用飞机空地一体化试飞验证平台,2018-01至2020-12,1300万元,在研,参加(试飞气象)

[18]国家自然科学基金重大计划培育项目,61331015,超声速射流火焰湍流输运和热扩散不稳定性研究,2017/01-2019/12,20/60万元,在研,参加

[19]国家自然科学基金重点项目,61331015,SAR数据测试库与质量评估技术,2014/01-2018/12,245万元,在研,参加

[20]SAR数据测试库与质量评估技术,NSFC重点项目,50 / 245万元,2014-2018(技术负责人,副组长)

[21]海洋遥感观测技术发展,NSFC-山东省联合基金项目子课题,40万元,2014-2016(主持);

[22]基于多模板先验形状约束的目标分割与跟踪方法研究,NSFC子课题,8万元,2012-2015(主持)

[23]国家自然科学基金面上项目,40575010,用分类器集成方法对EOS-MODIS资料进行云分类,2006/01-2006/12,10万元,已结题,主持

[24]上海市工业强基项目,民用飞机空地一体化试飞验证平台,49/690,2017-2019,在研

[25]工信部民机专项,民用直升机地形/气象感知和防撞技术研究,86/1200,2017-2019,在研,

[26]上海市军民融合,机载视觉增强系统电线防撞告警关键技术,2016/08-2018/07,50万元,在研,主持

[27]飞机环控系统报文优化及可视化平台开发,东航技术公司,58.8万,2018-2019,在研,主持

[28]箭码(上海)生物科技有限公司,Face AI人工智能(儿童)健康发育与疾病诊疗辅助系统,50万,2018-2019,在研,主持

[29]上海强松航空,机场跑道异物识别系统研发,50万,2017-2019,在研,主持

[30]高光谱图像在雾霾监测中的应用研究,上海市军民结合专项,30万元,2014-2016(主持)

[31]面向应急的机动式光学雷达一体化数据获取与处理系统,上海市科委项目,40 / 100万元,2012-2014(技术负责人,副组长);

[32]台风云图分割及应用研究,上海市自然科学基金项目,10万元,2009-2011(主持)

[33]热带气旋卫星客观定位定强技术研究,公益性行业(气象)专项子课题,22万元,2010-2012(主持)

[34]台风强度客观估计系统,国家气象局专项,8万元,2009-2010(主持)

[35]台风云图聚类分析及云图检索应用研究,国家气象局专项,5万元,2007-2008(主持)

 

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