基本信息
吕科男博导工程科学学院
电子邮件： luk@ucas.ac.cn
通信地址： 北京玉泉路19号甲 中科院研究生院计算与通信工程学院
邮政编码： 100049
部门/实验室：工程科学学院
研究领域遥感图像处理、医学影像处理、计算机图形学、虚拟现实


招生信息招生专业
计算机应用技术（硕士生、博士生）
招生方向
数字图像处理

招生专业081203-计算机应用技术
081002-信号与信息处理
081203-计算机应用技术

招生方向数字图像处理
计算机图形学
虚拟现实技术


工作经历2005.4-现在 中国科学院大学（原中国科学院研究生院）
期间：2011.1-2011.4 National University of Singapore (NUS,新加坡国立大学)Visiting Professor
2015.1-2015.4 National University of Singapore (NUS,新加坡国立大学)Visiting Professor

工作简历
社会兼职

教授课程并行计算与大数据处理
数字图像处理
数字图像处理的关键技术与方法
计算机数学


专利与奖励

1. 获奖名称：气象卫星遥感图像处理分析关键技术与应用，2012年度中国电子学会电子信息科学技术二等奖（个人排序第一）
2. 获奖名称：高精度遥感卫星图像定位分析关键技术与应用，2012年度北京市科学技术二等奖（个人排序第一）
3.获奖名称：基于混合匹配的指纹识别系统与应用，国家科技进步二等奖（个人排序第四）(2004-J-220-2-03-R04)
4. 获奖名称：文物虚拟修复和数字化保护技术的研究与应用，国家科技进步二等奖（个人排序第七）（2009-J-240-2-02-R07）
5. 获奖名称：?高性能多极化微波成像系统及在灾害与海洋监测中的应用，2014年度北京市科学技术奖(排名第六）
6. 获奖名称：数字头颅可视化技术研究，教育部科技进步奖二等（个人排序第三）2002-268
7. 获奖名称：交互式虚拟内窥镜系统，陕西省科技进步奖（个人排序第三），04-2-010-R03
8. 第九届宁夏青年科技奖，宁夏组织部，宁夏人事厅，宁夏科学技术协会，2004年12月
9. 2002年度入选宁夏“新世纪313人才工程”学术技术带头人



出版信息
2019

1.Mohammad MuntasirRahman,Yanhao Tan, Jian Xue, Ling Shao, Ke Lu, 3D ObjectDetection: Learning 3D Bounding Boxes from Scaled Down 2D Bounding Boxes inRGB-D Images, Information Sciences,Volume 476, February 2019,Pages 147-158

2018

1.Jiyang Dong, Ke Lu,Jian Xue, Shuangfeng Dai, Rui Zhai, Weiguo Pan: Acceleratednonrigid image registration using improved Levenberg-Marquardt method. InformationSciences 423: 66-79 (2018)

2.Jin-Bao Wang, KeLu, Jian Xue,Ning He, Ling Shao, Single ImageDehazing Based on the Physical Model and MSRCR Algorithm. IEEE Trans.Circuits Syst. Video Techn. 28(9): 2190-2199 (2018)

3.Yuanqiang Cai, Weiqiang Wang, Shao Huang, Jin Ma, Ke Lu, Spatiotemporaltext localization for videos. Multimedia ToolsAppl. 77(22): 29323-29345 (2018)

4.Xiwen Qu, Weiqiang Wang, Ke Lu,Jianshe Zhou,In-airhandwritten Chinese character recognition with locality-sensitive sparserepresentation toward optimized prototype classifier. PatternRecognition 78: 267-276 (2018)

5.Xiwen Qu, Weiqiang Wang, KeLu, Jianshe Zhou,Data augmentation and directional feature maps extraction for in-airhandwritten Chinese character recognition based on convolutional neuralnetwork. PatternRecognition Letters 111: 9-15 (2018)

6.Shan Cao, Ning He, Shanshan Zhao, KeLu, Xiu-Ling Zhou,Single image motion deblurring with reduced ringing effects using variationalBayesian estimation. Signal Processing148: 260-271 (2018)

7.Weiyao Lin, Chongyang Zhang, Ke Lu,Bin Sheng, Jianxin Wu, Bingbing Ni, Xin Liu, Hongkai Xiong,ActionRecognition With Coarse-to-Fine Deep Feature Integration and AsynchronousFusion. AAAI 2018:7130-7137

8.Zhi Li, Ke Lu, Jian Xue, Joint segmentation andregistration for 4D lung CT images based on Markov random field. ICIMCS 2018:7:1-7:5

9.Ji Gan, Weiqiang Wang, Ke Lu,Unified CNN-RNN Approach for in-Air Handwritten English Word Recognition. ICME 2018:1-6

10. Jiyang Dong,Jian Xue, Shuqiang Jiang, KeLu, Novel Approach of Multiple Objects Segmentation Based on Graph Cut.MIPR 2018:328-333

11. Hao Xiao,Weiyao Lin, Bin Sheng, Ke Lu,Junchi Yan, Jingdong Wang, Errui Ding, Yihao Zhang, Hongkai Xiong, GroupRe-Identification: Leveraging and Integrating Multi-Grain Information. ACM Multimedia 2018:192-200

2017

1.Xin Sun, Ning He, Yu-Qing Zhang, Xue-Yan Zhen, Ke Lu,Xiu-Ling Zhou, Color ImageDenoising Based on Guided Filter and Adaptive Wavelet Threshold. Applied Comp. Int.Soft Computing 2017: **:1-**:11 (2017)

2.Wenchao Cui, Guoqiang Gong, Ke Lu,Shuifa Sun, Fangmin Dong,Convex-relaxedactive contour model based on localised kernel mapping. IET ImageProcessing 11(11): 976-985 (2017)

3.Ling Shao, Ziyun Cai, Li Liu, Ke Lu,Performance evaluation of deep feature learning for RGB-D image/videoclassification. Inf. Sci. 385:266-283 (2017)

4.Weiyao Lin, Yang Shen, Junchi Yan, Mingliang Xu, Jianxin Wu, Jingdong Wang, Ke Lu,Learning Correspondence Structures for Person Re-Identification. IEEE Trans. ImageProcessing 26(5): 2438-2453 (2017)

5.Weijing Song,Ze Deng, Lizhe Wang, Bo Du, Peng Liu, KeLu, G-IK-SVD: parallel IK-SVD on GPUs for sparse representation ofspatial big data. TheJournal of Supercomputing 73(8): 3433-3450(2017)

6.Jingbo Wei,Yukun Huang, KeLu, LizheWang, Fields of Experts Based Multichannel Compressed Sensing.SignalProcessing Systems 86(2-3): 111-121(2017)

7.Jiyang Dong,KeLu, ShuangfengDai, JianXue, RuiZhai, Auto-Segmentation of Pathological Lung Parenchyma Basedon Region Growing Method. ICIMCS2017: 241-251

8.Jin Ma, Weiqiang Wang, KeLu, JiansheZhou, Scene text detection based on pruning strategy ofMSER-trees and Linkage-trees. ICME2017: 367-372

9.Haiqing Ren,Weiqiang Wang, KeLu, JiansheZhou, QiuchenYuan,An end-to-end recognizer for in-air handwritten Chinesecharacters based on a new recurrent neural networks. ICME2017: 841-846

10. MohammadMuntasir Rahman, Yanhao Tan, Jian Xue, KeLu, RGB-D object recognition with multimodal deep convolutional neuralnetworks. ICME2017: 991-996

2016

1.PingHu, Weiqiang Wang,Chi Zhang,Ke Lu, Detecting Salient Objects viaColor and Texture Compactness Hypotheses，IEEE Transactionson Image Processing,Volume: 25,Issue: 10,Oct. 2016 .

2.Jian Xue, Ke Lu,Ling Shao, Mohammad Muntasir Rahmana, Efficient Volume Rendering Methods forOut-of-Core Datasets by Semi-Adaptive Partitioning, Information Sciences370–371 (2016) 463–475

4.Yan Ma,Lajiao Chen,Peng Liu,Ke Lu,Parallel programing templatesfor remote sensing image processing on GPU architectures: design andimplementation.Computing98(1-2):7-33(2016)

5.Rui Zhai,Ke Lu,Weiguo Pan,Shuangfeng Dai,GPU-basedreal-time terrain rendering: Design and implementation.Neurocomputing171:1-8(2016)

6.Weifeng Liu,Hongli Liu,Dapeng Tao,Yanjiang Wang,Ke Lu,Manifold regularized kernel logistic regression for web imageannotation.Neurocomputing172:3-8(2016)

7.Ning He,Jin-Bao Wang,Lulu Zhang,KeLuConvex optimization basedlow-rank matrix decomposition for image restoration.Neurocomputing172:253-261(2016)

8.Li Liu,Ling Shao,Xuelong Li,Ke Lu,LearningSpatio-Temporal Representations for Action Recognition: A Genetic ProgrammingApproach.IEEE T. Cybernetics46(1):158-170(2016)

9.Jun Tang,Ling Shao,Xuelong Li,Ke Lu, A LocalStructural Descriptor for Image Matching via Normalized Graph LaplacianEmbedding.IEEE T. Cybernetics46(2):410-420(2016)

10. Xiangjun Shen,Qing Chang,Jianping Gou,Qirong Mao,Zheng-Jun Zha,Ke Lu,Collaborative Q-Learning Based Routing Control in Unstructured P2PNetworks.MMM (1)2016:910-921

2015

1.KeLu,Ning He,Jian Xue,Jiyang Dong, Learning View-Model Joint Relevancefor 3D Object Retrieval, IEEE Transactions on Image Processing,Vol. 24, No. 5, pp. 1449-1459, 2015

2.WeichengHuang,Xun Cao, KeLu, QH Dai,Toward Naturalistic 2D-to-3D Conversion,IEEE Transactionson Image Processing,Vol. 24, No.2, pp.724-733, 2015

3.Liang wang,Fuqing Duan,Ke Lu,An adaptively wghted algorithm for camera calibration with 1Dobjects, Neurocomputing, 149(C):1552-1559. 2015

4.Si Liu,Xiaodan Liang,Luoqi Liu,KeLu,Liang Lin,Xiaochun Cao,Shuicheng Yan,Fashion Parsing With Video Context.IEEE Transactionson Multimedia，17(8):1347-1358(2015)

5.Wenchao Cui,Guoqiang Gong,Ke Lu,Shuifa Sun,Fangmin Dong,A localizedpiecewise constant model with kernel mapping and convex optimization for imagesegmentation.ChinaSIP2015:161-165

6.ZhangQingjun,Gao Yangte,Gao Wenjun,LuKe, 3D Orbit Optimizationfor Regional Observation GEO SAR, Neurocomputing,2015,15(2):692-699. 2015

7.JinbaoWang,Ning He,LuLu Zhang,KeLu,Single image dehazing with aphysical model and dark channel prior , Neurocomputing,2015,149(B):718-728.2015

8.NingHe,JinBao Wang,Lulu Zhang,KeLu, An improved fractionalorder differentiation model for image denoising , SignalProcessing,2015,11(2):180-188.

9.W. Liu,H.Liu,D. Tao,Y. Wang, K.Lu, Multiview Hessianregularized logistic regression for action recognition ,signal processing,2015,11(5)：101-107。

10. Teng Li,Xinyu Wu,BingbingNi,Ke Lu,ShuichengYan,Weakly-supervised scene parsing with multiple contextualcues.Information Sciences323:59-72(2015)

11. Weiguo Pan,Jian Xue,Ke Lu,Rui Zhai,Shuangfeng Dai,Hybridarchitecture for 3D visualization of ultrasonic data. InformationSciences,320:372-382(2015)

12. Fuqing Duan,Donghua Huang,Yun Tian,Ke Lu,Zhongke Wu,Mingquan Zhou, 3Dface reconstruction from skull by regression modeling in shape parameterspaces.Neurocomputing151:674-682(2015)

13. Liang Wang,Fuqing Duan,Ke Lu,An adaptively weighted algorithm for camera calibration with 1Dobjects.Neurocomputing149:1552-1559(2015)

14. Daru Pan,Hui Zhang,WeiJing Chen,Ke Lu,Transmission of multimedia contents in opportunistic networkswith social selfish nodes.MultimediaSyst.21(3):277-288(2015)

15. Ke Lu,Qian Wang,Ning He,Daru Pan,Weiguo Pan,Non Non-localsparse regularization model with application to image denoising localvariational image segmentation models on graphs using the Split Bregman.MultimediaSyst.21(3):289-299(2015)

16. Zhong Li,Weiqiang Wang,Xiaoqian Liu,Ke Lu,An efficient multi-threshold AdaBoost approach to detecting facesin images.Multimedia ToolsAppl.74(3):885-901(2015)

2014

1. Ke Lu,Rongrong Ji,Jinhui Tang,Yue Gao,Learning based Bipartite GraphMatching For View Based 3D Model Retrieval,IEEE Transactions on ImageProcessing. Vol.23, No. 10, pp.4553-4563, 2014

2. Ke Lu,Qian Wang,Jian Xue,Wguo Pan,3D Model Retrieval and Classificationby Semi-Supervised Learning with Content-Based Similarity,InformationSciences.Vol.28, No1, pp.703-713, 2014

3. Lizhe Wang,Ke Lu,Peng Liu.Compressed Sensing of a Remote Sensing Image Based on the Priors of theReference Image.IEEE Geoscience and Remote Sensing Letters. Vol.12, No.4,pp.736-740, 2014

4. Lizhe Wang ,Ke Lu,Peng Liu,etc.IK-SVD: Dictionary Learning for Spatial Big Data via Incremental Atom Update.IEEE Computing in Science & Engineering. Vol.16, No.4, pp.41-52, 2014

5. Ning He,Ke Lu,Bingkun Bao,LuluZhang,Single-image motion deblurring using an adaptive image prior, InformationSciences,28(1):736-749.2014

6. Jing Wang,Ke Lu,Ning He,Bing-kunBao,Robust object removal with an exemplar-based image inpainting approach,Neurocomputing,2014, 123(2):150-155.

7. 林政宗,吕科,杨磊,徐文,翟锐,基于Level Set的海岸线检测,电子学报, 2014,(02):391-397

8. 林政宗,吕科,杨磊,徐文,翟锐,静止卫星遥感图像海岸线检测,光学技术, 2014,(01):7-12

9. 王泳,吕科,潘卫国,同源数据的协同挖掘算法研究,计算机科学, 2014,(12):143-147

10. 徐文,吕科,杨磊,林政宗,翟锐,静止卫星图像配准中海陆边界模板的生成方法, 2014,(04):154-158

11. Yinglong Ma, Ling Liu, Ke Lu, Bhong Jin, AGraph Derivation Based Approach for Measuring and Comparing StructuralSemantics of Ontologies. IEEE Transaction on Knowledge and Data Engineering.Vol. 26, No. 5, pp. 1039-1052, 2014

12. Yinglong Ma,Xiaolan Zhang, Ke Lu,,A graph distancebased metric for data oriented workflow retrieval with variable time constraints.ExpertSystems with Applications. Vol.41, No.4, pp.1377-1388, 2014

13. 王亮,段福庆,吕科,基于HEIV模型的摄像机一维标定,自动化学报,2014,(04):643-652

14. 王治中,张庆君,吕科,大数据时代航天遥感系统的挑战和机遇,工程研究-跨学科视野中的工程,2014,(03):244-258

15. Luming Zhang,Yue Gao,Yingjie Xia, Ke Lu,,JialieShen,Rongrong Ji. Representative Discovery of Structure Cues for WeaklySupervised Image Segmentaion. IEEE Transaction on Multimedia.Vol.16, No.2, pp.470-479, 2014

16. Fuqing Duan, Yanchao Yang, Yan Li, Ke Lu,,Skull dentification via Correlation Measuring and Comparing StructuralSemantics of Ontologies. IEEE Transactions on Information Forensicsand Security. Vol. 9, No. 8, pp. 1322-1332, 2014

17. Zhong Li,Wqiang Wang,Xiaoqiang Liu, Ke Lu,,An efficient multi-threshold AdaBoost approach to detecting faces inimages,Multimedia Tools and Applications, Vol.68, No.3, pp.124-131, 2014

18. Lizhe Wang,Hao Geng,Peng Liu, Ke Lu,,Particle Swarm Optimization based dictionary learning for remote sensing bigdata,Knowledge-Based Systems,14(10):1256-1266. 2014

19. Fuqing Duan,Donghua Huang, Yun Tian, Ke Lu,,3D face reconstruction from skull by regression modelingin shape parameter spaces,Neurocomputing,15(2):674-682.2014

20. 宋维静,刘鹏,王力哲,吕科,遥感大数据的智能处理:现状与挑战,工程研究-跨学科视野中的工程,2014,(03):259-265

21. Ma. Jinlin, Ma. Ziping, Kang. Baosheng, Lu Ke, A Method of ProtnModel Classification and Retrieval Using Bag-of-Visual-Features , Computationaland Mathematical Methods in Medicine, 2014,2014(5).

22. W. Liu, H. Liu, D. Tao, Y. Wang, K. Lu,Multiview Hessianregularized logistic regression for action recognition, signalprocessing,Vol.11, No.5, pp.101-107, 2014

23. W. Liu, H. Zhang, D. Tao, Y. Wang, Ke Lu,,Large-scale paralleled sparse principal component analysis,Multimedia Tools andApplications,14(04):171-179.2014

24. Bin Lv,Zhiye Chen,Tongning Wu,Qing Shao, Duo Yan, Lin Ma, KeLu,, Yi Xie , The alteration of spontaneous low frequencyoscillations caused by acute electromagnetic fields exposure, ClinicalNeurophysiology,2014,125(2):277-286.

25. Zhike Zhang,Wqiang Wang, Ke Lu, Video TextExtraction Using the Fusion of Color Gradient and Log-Gabor Filter , 22ndInternational Conference on Pattern Recognition (ICPR) 2014,Stockholm,2014.8.24-2014.8.28.

26. Dongye Zhuang,Dongming Zhang, Ke Lu,,Qi Tian, HAMMING EMBEDDING WITH FRAGILE BITS FOR IMAGE SEARCH,The InternationalConference on Image Processing (ICIP2014), paris, 2014.11.12-2014.11.16.pp:5721-5725

27. Si Liu,Xiaodan Liang,Luoqi Liu, Ke Lu,,FashionParsing with Video Context , MM '14 Proceedings of the ACM InternationalConference on Multimedia, 467-476, Orlando,Florida, 2014.11.3-2014.11.7.

28. Qian Wang Ke Lu,,Fuqing Duan,NingHe, L Yang , Improved Image Registration Based on Local Features and GlobalGeometry Constraint ,International Conference on Remote Sensing and WirelessCommunications (RSWC 2014), 1-6, Shang Hai, China, 2014.2.22-2014.2.24

29. Ning He, Ke Lu,, Jinbo wang ,Image Denoising Using Fractional-Order Non-Local TV Model, ICIMCS '14Proceedings of International Conference on Internet Multimedia Computing andService, Xiameng, Fujian, 2014.8.12-2014.8.14 ,

30. Ning He, Lulu Zhang, Ke Lu,, Aluminum CTImage Defect Detection Based on Segmentation and Feature Extraction , LectureNotes in Computer Science, 2014, 8518（204）:446-454

31. Yong Wang, Ke Lu,, Rui Zhai ,Challenge of multi-camera tracking, 2014 7th International Congress on Imageand Signal Processing (CISP), 32-37, Dalian, 2014.10.6-2014.10.11 ,

2013

1. Shiliang Zhang, Qi Tian, Ke Lu, Qingming Huang, Wen Gao:Edge-SIFT: Discriminative Binary Descriptor for Scalable Partial-DuplicateMobile Search.IEEE Transactions on Image Processing. Vol.22, No.7,pp.2889-2902, 2013

2. M. Wang, Yue Gao,Ke Lu, Yong Rui, View-BasedDiscriminative Probabilistic Modeling for 3D Object Retrieval and Recognition, IEEETransactions on Image Processing, Vol.22, No.4, pp.1395 -1407, 2013

3. LM. Zhang, Yue Gao, Yingjie Xia, Ke Lu , RepresentativeDiscovery of Structure Cues for Weakly Supervised Image Segmentaion. ,IEEETransaction on Multimedia., 2013,16(2):470-479. 2013

4. Ao Tang, Ke Lu,Yuf Wang,Jie Huang,Areal-time hand posture recognition system using deep neural networks, ACMTransactions on Intelligent Systems and Technology.Vol.9,No.4,pp.1231-1253,2013

5. L Zhang, Yongdong Zhang, Ke Lu, Qi Tian , Binary Code Ranking withWghted Hamming Distance , IEEE Conference on Computer Vision and PatternRecognition (CVPR2013), 1586-1593, Portland, Oregon, USA, 2013.6.23-2013.6.28.

6. Yinglong Ma, Ke Lu, Ying Zhang, Bhong Jin, Measuring ontologyinformation by rules based transformation,Knowledge-Based Systems,Vol.50, No.2,pp.234-245, 2013

7. Jie Jia, Ke Lu, Jing Wang, Rui Zhai, Yong YAng, High ManeuveringTarget Tracking Based onSelf-adaptive Interaction Multiple-Model, ResearchJournal of Applied Sciences, Engineering and Technology,5(10):3063-3068.2013

8. Ning He,Ke Lu, Yixue Wang, Yue Gao , Semi-supervised RemoteSensing Image Segmentation Using Dynamic Region Merging , 15th InternationalConference, HCI International 2013, Las Vegas, NV, USA, 153-162, Las Vegas, NV,USA, 2013.7.21-2013.7.26

9. 何宁,吕科,王雪,基于结构保持的MR图像运动伪影快速抑制方法,电子学报, 2013,(07):1319-1323

10. Yun Tian, Fuqing Duan, Ke Lu, Mingquan Zhou, Zhongke Wu, QingjunWang. A Flexible 3D Cerebrovascular_Extraction from TOF-MRAImages,Neurocomputing Vol. 121,No 2, pp 392-400, 2013

11. Yinglong Ma, Yongming Shang, Ke Lu, Design of Stable SemanticMeasurement for Ontology-Based Systems, PRZEGLD ELEKTROTECHNICZNY, 12(4):115-120.2013

12. Yinglong Ma, Xiaolan Zhang, Ke Lu , A graph distance based metricfor data oriented workflow retrievalwith variable time constraints , ExpertSystems with Applications, 41(4):1377-1388. 2013

13. Yu Zhang, W-Nan Zhang, Ke Lu, Rongrong Ji , Fanglin Wang, TingLiu, Phrasal Paraphrase Based Question Reformulation for Archived QuestionRetrieval , PLos One,2013,8(6):123-134.2013

14. L Yang, Xiaohu Feng, Jian Shang, Ke Lu , Automated LandmarkMatching of FY-2 Visible Imagery with its Applications to the On-Orbit ImageNavigation Performance Analysis and Improvements , Chinese Journal ofElectronics, 22(4):

15. Yinglong Ma, Xiaolan Zhang, Bhong Jin, Ke Lu , A GenericImplementation Framework for Measuring Ontology-Based Information ,International Journal of Computational Intelligence Systems, 7(1):136-146.2013

16. Wang Liang, Liu Rong, Zhang Li, Duan Fu-qing , Lu Ke , TheMeteorological Satellite Spectral Image Registration Based on Fourier-MellinTransform , Spectroscopy and Spectral Analysis, 2013,33(3):855-858.

17. 王亮,刘蓉,张丽,段福庆,吕科,基于Fourier-Mellin变换的气象卫星光谱图像配准,光谱学与光谱分析,2013,(03):855-858

18. Lei Zhang, Yongdong Zhang, Jinhui Tang, Ke Lu, Qi Tian, BinaryCode Ranking with Wghted Hamming Distance, 2013 IEEE International Conferenceon Computer Vision and Pattern Recognition, pp.1586-1593, 2013

19. Zhangjian Ji, Wqiang Wang, Ke Lu , Extract foreground objectsbased on sparse model of spatiotemporalspectrum0 , IEEE International Conference on Image Processing,3441-3445, Melbourne, 2013.09.15-2013.09.18.

20. Zhangjian Ji, Wqiang Wang, Ke Lu ,Foreground Detection UtilizingStructured Sparse Model via L1, 2Mixed Norms0 , IEEE International Conferenceon System, Man, Cybernetics, 1231-1235, Manchester 2013.10.13-2013.10.16.

21. Wguo Pan, Ke Lu, Rui Zhai , Inscription extraction fromTraditional Chinese Painting images , 5th International Conference on InternetMultimedia Computing and Service, 349-352, Huangshan, China,2013.08.19-2013.08.22

22. Quan Fang, Jitao Sang, Changsheng Xu, Ke Lu , Paint the CityColorfully: Location Visualization from Multiple Themes , 19th InternationalConference,MMM 2013, 92-105, Huangshan, China, 2013.01.07-2013.01.09

23. Bingkun Bao, Wqing Min, Ke Lu, Changsheng Xu , Social eventdetection with robust high-order co-clustering , 3rd ACM conference onInternational conference on multimedia retrieval, 135-142, 2013.4.17-2013.4.19

24. Wcheng Huang, Xun Cao, Ke Lu, TOWARDS NATURALISTIC DEPTHPROPAGATION , 11th IEEE IVMSP Workshop:3D Image/Video Technologies andApplications, 101-104, Seoul, 2013.06.10-2013.06.12

25. Qian Wang, Ke Lu, Fuqing Duan, L Yang , A Coastline DetectionMethod Based on Level Set , 15th International Conference,HCI, 216-226, LasVegas, 2013.08.21-2013.08.24

2012

1. Ke Lu, Ning He, Liang Li, Nonlocal Means-Based Denoising forMedical Images , Computational andMathematical Methods in Medicine, Vol.2012,No.6, pp. 121-129.2012

2. Meng Wang, Hao Li, Dacheng Tao, Ke Lu, etc.Multimodal Graph-BasedReranking for Web Image Search. IEEE Transactions on Image Processing,Vol. 21, No. 11, pp. 4649-4661, 2012

3. Ning He, Ke Lu, A Non Local Feature-Preserving Strategy for ImageDenoising,Chinese Journal of Electronics, Vol.21,No.4,pp.651-656, 2012

4. Wang Jing, Lu Ke ,Wang Qian, Jia Jie, Kernel Optimization forBlind Motion Deblurring with Image Edge Prior , Mathematical Problems inEngineering, 2012(2012).

5. 王静,吕科,何宁,王茜,基于分裂Bregman方法的全变差图像去模糊,电子学报,2012, 40(8):1503-1508

6. Liang wang, Fuqing Duan, Ke Lu, Fisheye-Lens-Based Visual SunCompass for Perception of Spatial Orientation , Mathematical Problems inEngineering,2012(04):1-15.2012

7. Sheng yong Chen, Xiuli Li, Ke Lu, Wanliang Wang , Gait Stabilityand Movement of Snake-like Robots, International Journal of Advanced RoboticSystems, 2012,2012(9):1-8.

8. 曹飞龙,李振彩,赵建伟,吕科,一类神经网络逼近全实轴上函数:稠密性、复杂性与构造性算法,计算机学报, 2012,(04):786-795

9. 王杉,周皓钧,刘海文,吕科,帧间自适应压缩感知算法在视频编码中的应用,电视技术, 2012,(11):34-37

10. Xiaoqian Liu Ke Lu Wqiang Wang, EffectivelyLocalize Text in Natural Scene Images, 21st International Conference on PatternRecognition (ICPR 2012), November 11-15, 2012. Tsukuba, Japan, PP1197-1200

11. Liang Li, Qian Wang, Ke Lu, Ning He , A fingerprint keybinding algorithm based on vector quantization and error correction , FourthInternational Conference on Digital Image Processing (ICDIP 2012), KualaLumpur, Malaysia, 2012.5.1-2012.5.4 ,

12. Bin Lv, Tongning Wu, Ke Lu Yi Xie , Automaticsegmentation of extraocular muscle using level sets methods with shape prior ,World congress on medical physics and biomedical engineering, 904-907, Bjing,2012.5.26-2016.5.31 ,

13. Daru Pan, Wjing Chen, Zhaohua Ruan, Ke Lu , A TransmissionSchem for Opportunistic Networks with Social Selfish Nodes, The 4thInternational Conference on Internet Multimedia Computing andService(ICIMCS2012), 15-19, Wuhan, China, 2012.9.9-2012.9.12

14. Ning He, Ke Lu, Qian Wang, VariationalNonlocal Image Segmentation Using Split-Bregman , 4th International Conferenceon Internet Multimedia Computing and Service, 170-175, Wuhan,2012.09.09-2012.09.12

2011

1. 段福庆,吕科,周明全,基于空间共线点的单光心反射折射摄像机标定,自动化学报, 2011,37(11):1296-1305

2. 侯金曼,何宁,吕科,基于压缩感知的图像快速重建方法,计算机工程,2011,37(19):231-238

3. F. Tao, L. Zhang, K. Lu, D. Zhao , Research onmanufacturing grid resource service optimal-selection and composition framework, Enterprise Information Systems, 2011,6(2):237-264.

4. Ning He, Ke Lu , Images Denoising by ImprovedNon-localMeans Algorithm , Second International Conference, ICTMF 2011,33-39,Singapore,2011.5.5-2011.5.7

5. Liang Li, Ke Lu, Ning He , An improvedcross-matching algorithm for fingerprint images from multi-type sensors , 4thInternational Congress on Image and Signal Processing (CISP2011), 1472-1475,Shang Hai, 2011.10.15-2011.10.17

6. Ning He, Ke Lu , An Image Segmentation Methodfor Chinese Paintings by Combining Deformable Models with Graph Cuts , 14thInternational Conference,HCI International 2011, 571-579, Orlando, FL,2011.7.9-2011.7.14

2010之前

1. He Ning, Lu Ke, Bao Hong, An ImprovedGeometric Active Contour Model for Concrete CT Image Segmentation Based on EdgeFlow, Chinese Journal of Electronics, Vol.19, No.4, pp.687-690, 2010.

2. 唐晓芬,吕科,基于模糊聚类的DWT域图像半脆弱水印算法,计算机工程与设计,2010,(13):3100-3107，2009

3. Lu Ke, He Ning,Xue Jian, Content-based similarity for 3D model retrieval and classification,Progress in Natural Science, Vol.19, 2009

4. Lu Ke, He Ning,Xue Jian, A New Geometric Deformable Model for Medical Image Segmentation.Chinese Journal of Electronics, Vol.18, No.2, pp.200-204, 2009

5. 唐晓芬,吕科,宋丽娟,基于支持向量机和混沌序列的空域图像双水印,计算机工程与设计,2009,(22):5294-5297

6. 葛永琪,吕科,基于NET的XBRL数据转换引擎研究与实现,计算机技术与发展,2009(02):148-156

7. He Ning, Zhang Peng,Lu Ke, A new deformable model using level setsfor shape segmentaltion, 2009, 26(3):125-130. 2009

8. 王祎雪,王伦津,吕科,基于XBRL的财务报表网络共享技术,计算机工程, 2009(01):257-259

9. Zhihua Liu, Qixiang Ye, Ke Lu , A progressive region-mergingalgorithm for stereo matching ,IEEE Youth Conference on Information, Computingand Telecommunication, 2009(YC-ICT '09), 142-145, Bjing, 2009.9.20-2009.9.21

10. Jian Xue, Ke Lu , An Efficient Oot-Of-core Volume Rendering Method, IEEE Youth Conference on Information, Computing and Telecommunication,2009(YC-ICT '09, 130-133, Berijing, 2009.9.20-2009.9.21

11. Fanjing Kong, Qixiang Ye, Ning Zhang, Ke Lu, Jianbin Jiao, ON-ROADVEHICLE DETECTIOIN USING HISTOGRAMS OF MULTI-SCALE ORIENTATIONS , IEEE YouthConference on Information, Computing and Telecommunication, 212-215,Bjing,PEOPLES R CHINA, 2009.9.20-2009.9.21 2008

12. 吕彬,何晖光,吕科,赵明昌,张志强,卢光明,脑皮层厚度分析方法及其应用,中国医学影像技术, 2008,（07）:1130-1133

13. 杨蕴石,王颖,吕科,赵亚伟,基于J2EE的集成开源框架研究与应用,微计算机信息,2008,(15):222-226

14. 吕彬,何晖光,赵明昌,吕科,张志强,卢光明,基于磁共振图像的脑皮层厚度测量方法,中国医学影像技术,2008,24(6):222-226

15. Zhang Yikuan, Lu Ke, A Sufficient Condition for UniformConvergence of Stationaryp-subdivision Scheme, Edutainment 2008.8.2-2008.8.5.

16. Ning He, Peng Zhang, Ke Lu, A Geometric Active Contours Model forMultiple Objects Segmentation, 2008 International Conference on IntelligentComputing (ICIC2008), 1168-1175, Shang Hai, 2008.5.11-2008.5.14.





































































































发表著作（1）XBRL技术原理与应用,电子工业出版社,2007-01,
（2）XBRL数据集成处理与分析,电子工业出版社,2008-04,
（3）遥感图像处理关键技术,清华大学出版社,2015-07,第2作者


科研活动

1.科技部重点研发计划项目“多模态协同的语义理解及推理机制”2017年起，530万


2.中国科学院仪器设备项目，基于GPU的三维超声缺陷检测装置研制（2016年度）284万


3.国家自然科学基金重点项目，动态医学图像分割的理论与方法U**），245万


4.国家自然科学基金，基于稀疏表示理论的高光谱遥感图像的特征提取与分类（**），86万


5.北京市自然科学基金重点项目，遥感图像精确定位与参数反演的理论及关键技术研究（**），65万


6.中国科学院科研装备研制项目，动态可配置的压缩感知成像装置研制（YZ201321），96万；


7.国家行业专项，农村农业信息化关键技术集成与示范，课题：农村农业信息资源整合关键技术集成与应用（2011BAD21B02）


8.国家973计划子课题，复杂条件下飞行器近进可视导航的关键技术研究（课题编号：2010CB731804-1）


9.国家973计划子课题，事故致灾过程和事故致因理论（课题编号：2011CB706901-4）;


10. 国家自然科学基金项目，基于GIS和遥感技术的半干旱地区退耕还林动态监测研究 （项目标号：**）


11. 国家自然科学基金项目，三维物体轮廓曲线的匹配技术研究（ 项目编号：**）;


12. 国家自然科学基金项目，基于多尺度随机场模型的高分辨率遥感影像分割方法研究（项目编号：**）


13. 国家行业（气象）专项子课题，新一代静止气象卫星应用顶层设计及关键技术研究（**）


14. 国家行业（气象）专项子课题，成像仪红外通道4KM图像地表海陆边缘检测软件及软件开发包研制（**-21）


15. 国家行业（气象）专项子课题，三维云信息的融合方法研究与软件研制（GYHY）


16. 中国科学技术协会学术交流平台项目，压缩感知理论与应用（2011）;


17. 北京市自然科学基金项目 基于XBRL的结构化数据结构化处理关键技术研究（**）;


18. 北京市自然科学基金项目 基于XBRL的组件式数据集成理论方法研究 （**）


19. 中国科学院研究生院院长奖励基金 基于XBRL技术的通用业务报告语言关键技术研究（**）


20. 中国科协科普资助项目 数字化人体多媒体图谱，（项目编号：**A）
中国科学院王宽诚博士后奖励基金资助项目“基于轮廓曲线的形状匹配方法研究”（2003年）

参与会议（1）AN EFFICIENT OUT-OF-CORE VOLUME RENDERING METHOD薛健，吕科2009-12-16


合作情况
项目协作单位

指导学生已指导学生
刘晓锋硕士研究生081203-计算机应用技术
朱本霞硕士研究生081203-计算机应用技术
华振宇硕士研究生081203-计算机应用技术
谢鑫硕士研究生081280-软件工程
徐颖风硕士研究生081280-软件工程
王静博士研究生081203-计算机应用技术
欧阳晚灿硕士研究生081203-计算机应用技术
侯金曼硕士研究生081203-计算机应用技术
王茜博士研究生081203-计算机应用技术
林政宗硕士研究生081203-计算机应用技术
徐文硕士研究生081203-计算机应用技术
黄炜程硕士研究生081203-计算机应用技术
翟锐博士研究生081203-计算机应用技术
潘卫国博士研究生081203-计算机应用技术
施泽南硕士研究生081203-计算机应用技术
代双凤博士研究生081203-计算机应用技术
张毅飞硕士研究生081203-计算机应用技术
高晨舒硕士研究生081203-计算机应用技术
董继阳博士研究生081203-计算机应用技术
现指导学生
李敏博士研究生081203-计算机应用技术
闫衍芙硕士研究生081203-计算机应用技术
王金宝博士研究生081203-计算机应用技术
王聪博士研究生081203-计算机应用技术
高鹏程博士研究生081203-计算机应用技术
檀彦豪博士研究生081203-计算机应用技术
李思培硕士研究生081203-计算机应用技术
吴茜博士研究生081203-计算机应用技术
孙宇硕士研究生125600-工程管理
孙天姿硕士研究生125600-工程管理
原艳妮硕士研究生125600-工程管理
胡惠莉硕士研究生125600-工程管理
刘家希硕士研究生125600-工程管理
刘啸天硕士研究生125600-工程管理
陈佳硕士研究生125600-工程管理
郭晓丹硕士研究生125600-工程管理