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,200412
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 Muntasir Rahman,Yanhao Tan, Jian Xue, Ling Shao, Ke Lu, 3D Object Detection: Learning 3D Bounding Boxes from Scaled Down 2D Bounding Boxes in RGB-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: Accelerated nonrigid image registration using improved Levenberg-Marquardt method. Information Sciences 423: 66-79 (2018)


2.      Jin-Bao Wang, Ke Lu, Jian Xue,Ning He, Ling Shao, Single Image Dehazing 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, Spatiotemporal text localization for videos. Multimedia Tools Appl. 77(22): 29323-29345 (2018)


4.      Xiwen Qu, Weiqiang Wang, Ke Lu,Jianshe Zhou,In-air handwritten Chinese character recognition with locality-sensitive sparse representation toward optimized prototype classifier. Pattern Recognition 78: 267-276 (2018)


5.      Xiwen Qu, Weiqiang Wang, Ke Lu, Jianshe Zhou, Data augmentation and directional feature maps extraction for in-air handwritten Chinese character recognition based on convolutional neural network. Pattern Recognition Letters 111: 9-15 (2018)


6.      Shan Cao, Ning He, Shanshan Zhao, Ke Lu, Xiu-Ling Zhou, Single image motion deblurring with reduced ringing effects using variational Bayesian estimation. Signal Processing 148: 260-271 (2018)


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


8.      Zhi Li, Ke Lu, Jian Xue, Joint segmentation and registration 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, Ke Lu, 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, Group Re-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 Image Denoising Based on Guided Filter and Adaptive Wavelet Threshold. Applied Comp. Int. Soft Computing 2017: 5835020:1-5835020:11 (2017)


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


3.      Ling Shao, Ziyun Cai, Li Liu, Ke Lu, Performance evaluation of deep feature learning for RGB-D image/video classification. 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. Image Processing 26(5): 2438-2453 (2017)


5.      Weijing Song,, , , , , G-IK-SVD: parallel IK-SVD on GPUs for sparse representation of spatial big data. The Journal of Supercomputing 73(8): 3433-3450()


6.      Jingbo Wei,, , Fields of Experts Based Multichannel Compressed Sensing.Signal Processing Systems 86(2-3): 111-121()


7.      Jiyang Dong,, , , , Auto-Segmentation of Pathological Lung Parenchyma Based on Region Growing Method. ICIMCS 2017: 241-251


8.      Jin Ma, , , , Scene text detection based on pruning strategy of MSER-trees and Linkage-trees. ICME 2017: 367-372


9.      Haiqing Ren,, , ,An end-to-end recognizer for in-air handwritten Chinese characters based on a new recurrent neural networks. ICME 2017: 841-846


10.   Mohammad Muntasir Rahman, , , RGB-D object recognition with multimodal deep convolutional neural networks. ICME 2017: 991-996


2016


1.      Ping Hu, Weiqiang Wang,Chi Zhang,Ke Lu, Detecting Salient Objects via Color and Texture Compactness HypothesesIEEE Transactions on Image Processing,Volume: 25,Issue: 10, Oct. 2016 .


2.      Jian Xue, Ke Lu, Ling Shao, Mohammad Muntasir Rahmana, Efficient Volume Rendering Methods for Out-of-Core Datasets by Semi-Adaptive Partitioning, Information Sciences 370–371 (2016) 463–475


4.      Yan MaLajiao ChenPeng LiuKe Lu,Parallel programing templates for remote sensing image processing on GPU architectures: design and implementation.Computing  98(1-2): 7-33 (2016)


5.      Rui ZhaiKe LuWeiguo PanShuangfeng Dai,GPU-based real-time terrain rendering: Design and implementation. Neurocomputing 171: 1-8 (2016)


6.      Weifeng LiuHongli LiuDapeng TaoYanjiang WangKe Lu,Manifold regularized kernel logistic regression for web image annotation. Neurocomputing 172: 3-8 (2016)


7.      Ning HeJin-Bao WangLulu Zhang, Ke LuConvex optimization based low-rank matrix decomposition for image restoration. Neurocomputing 172: 253-261 (2016)


8.      Li LiuLing ShaoXuelong LiKe Lu,Learning Spatio-Temporal Representations for Action Recognition: A Genetic Programming Approach. IEEE T. Cybernetics 46(1): 158-170 (2016)


9.      Jun TangLing ShaoXuelong Li, Ke Lu, A Local Structural Descriptor for Image Matching via Normalized Graph Laplacian Embedding.IEEE T. Cybernetics 46(2): 410-420(2016)


10.   Xiangjun ShenQing ChangJianping GouQirong MaoZheng-Jun ZhaKe Lu,Collaborative Q-Learning Based Routing Control in Unstructured P2P Networks. MMM (1) 2016: 910-921


2015


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


2.      Weicheng Huang,Xun Cao, Ke Lu, QH Dai,Toward Naturalistic 2D-to-3D Conversion,IEEE Transactions on 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 1D objects, Neurocomputing, 149(C):1552-1559. 2015


4.      Si LiuXiaodan LiangLuoqi LiuKe LuLiang LinXiaochun CaoShuicheng Yan, Fashion Parsing With Video Context. IEEE Transactions on Multimedia 17(8): 1347-1358 (2015)


5.      Wenchao CuiGuoqiang Gong, Ke LuShuifa SunFangmin Dong,A localized piecewise constant model with kernel mapping and convex optimization for image segmentation. ChinaSIP 2015: 161-165


6.      Zhang Qingjun,Gao Yangte,Gao Wenjun,Lu Ke, 3D Orbit Optimization for Regional Observation GEO SAR, Neurocomputing,2015,15(2):692-699. 2015


7.      Jinbao Wang,Ning He,LuLu Zhang,Ke Lu,Single image dehazing with a physical model and dark channel prior , Neurocomputing, 2015,149(B):718-728.2015


8.      Ning He,JinBao Wang,Lulu Zhang,Ke Lu, An improved fractional order differentiation model for image denoising , Signal Processing,2015,11(2):180-188.


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


10.   Teng LiXinyu WuBingbing Ni, Ke Lu,Shuicheng Yan,Weakly-supervised scene parsing with multiple contextual cues. Information Sciences 323: 59-72 (2015)


11.   Weiguo PanJian Xue, Ke LuRui ZhaiShuangfeng Dai,Hybrid architecture for 3D visualization of ultrasonic data.  Information Sciences,320: 372-382 (2015)


12.   Fuqing DuanDonghua HuangYun Tian, Ke Lu,Zhongke WuMingquan Zhou, 3D face reconstruction from skull by regression modeling in shape parameter spaces. Neurocomputing 151: 674-682 (2015)


13.   Liang WangFuqing DuanKe Lu,An adaptively weighted algorithm for camera calibration with 1D objects. Neurocomputing 149: 1552-1559 (2015)


14.   Daru PanHui ZhangWeiJing ChenKe Lu,Transmission of multimedia contents in opportunistic networks with social selfish nodes. Multimedia Syst. 21(3): 277-288 (2015)


15.   Ke Lu, Qian WangNing HeDaru PanWeiguo Pan,Non Non-local sparse regularization model with application to image denoising local variational image segmentation models on graphs using the Split Bregman. Multimedia Syst. 21(3): 289-299 (2015)


16.   Zhong LiWeiqiang WangXiaoqian LiuKe Lu,An efficient multi-threshold AdaBoost approach to detecting faces in images. Multimedia Tools Appl.74(3): 885-901 (2015)


2014


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


2.      Ke Lu,Qian Wang,Jian Xue,Wguo Pan,3D Model Retrieval and Classification by Semi-Supervised Learning with Content-Based Similarity,Information Sciences.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 the Reference 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,Lulu Zhang,Single-image motion deblurring using an adaptive image prior, Information Sciences,28(1):736-749.2014


6.      Jing Wang,Ke Lu,Ning He,Bing-kun Bao,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, A Graph Derivation Based Approach for Measuring and Comparing Structural Semantics 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 distance based metric for data oriented workflow retrieval with variable time constraints.Expert Systems 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,,Jialie Shen,Rongrong Ji. Representative Discovery of Structure Cues for Weakly Supervised 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 Structural Semantics of Ontologies. IEEE Transactions on Information Forensics and 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 in images,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 big data,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 Protn Model Classification and Retrieval Using Bag-of-Visual-Features , Computational and Mathematical Methods in Medicine, 2014,2014(5).


22.  W. Liu, H. Liu, D. Tao, Y. Wang, K. Lu,Multiview Hessian regularized logistic regression for action recognition, signal processing,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 and Applications,14(04):171-179.2014


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


25.  Zhike Zhang,Wqiang Wang, Ke Lu, Video Text Extraction Using the Fusion of Color Gradient and Log-Gabor Filter , 22nd International 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 International Conference on Image Processing (ICIP2014), paris, 2014.11.12-2014.11.16. pp:5721-5725


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


28.  Qian Wang Ke Lu,,Fuqing Duan,Ning He, L Yang , Improved Image Registration Based on Local Features and Global Geometry Constraint ,International Conference on Remote Sensing and Wireless Communications (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 '14 Proceedings of International Conference on Internet Multimedia Computing and Service, Xiameng, Fujian, 2014.8.12-2014.8.14 ,


30.  Ning He, Lulu Zhang, Ke Lu,, Aluminum CT Image Defect Detection Based on Segmentation and Feature Extraction , Lecture Notes in Computer Science, 2014, 8518204:446-454


31.  Yong Wang, Ke Lu,, Rui Zhai , Challenge of multi-camera tracking, 2014 7th International Congress on Image and 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-Duplicate Mobile Search.IEEE Transactions on Image Processing. Vol.22, No.7, pp.2889-2902, 2013


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


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


4.      Ao Tang, Ke Lu,Yuf Wang,Jie Huang,A real-time hand posture recognition system using deep neural networks, ACM Transactions 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 with Wghted Hamming Distance , IEEE Conference on Computer Vision and Pattern Recognition (CVPR2013), 1586-1593, Portland, Oregon, USA, 2013.6.23-2013.6.28.


6.      Yinglong Ma, Ke Lu, Ying Zhang, Bhong Jin, Measuring ontology information 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 Maneuvering Target Tracking Based onSelf-adaptive Interaction Multiple-Model, Research Journal of Applied Sciences, Engineering and Technology,5(10):3063-3068.2013


8.      Ning He,Ke Lu, Yixue Wang, Yue Gao , Semi-supervised Remote Sensing Image Segmentation Using Dynamic Region Merging , 15th International Conference, 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, Qingjun Wang. A Flexible 3D Cerebrovascular_Extraction from TOF-MRA Images,Neurocomputing Vol. 121,No 2, pp 392-400, 2013


11.  Yinglong Ma, Yongming Shang, Ke Lu, Design of Stable Semantic Measurement for Ontology-Based Systems, PRZEGLD ELEKTROTECHNICZNY, 12(4):115-120. 2013


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


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


14.  L Yang, Xiaohu Feng, Jian Shang, Ke Lu , Automated Landmark Matching of FY-2 Visible Imagery with its Applications to the On-Orbit Image Navigation Performance Analysis and Improvements , Chinese Journal of Electronics, 22(4):655-6612013


15.  Yinglong Ma, Xiaolan Zhang, Bhong Jin, Ke Lu , A Generic Implementation 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 , The Meteorological Satellite Spectral Image Registration Based on Fourier-Mellin Transform , 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, Binary Code Ranking with Wghted Hamming Distance, 2013 IEEE International Conference on Computer Vision and Pattern Recognition, pp.1586-1593, 2013


19.  Zhangjian Ji, Wqiang Wang, Ke Lu , Extract foreground objects based on sparse model of spatiotemporal    spectrum0 , IEEE International Conference on Image Processing, 3441-3445, Melbourne, 2013.09.15-2013.09.18.


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


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


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


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


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


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


2012


1.      Ke Lu, Ning He, Liang Li, Nonlocal Means-Based Denoising for Medical 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-Based Reranking 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 Image Denoising,Chinese Journal of Electronics, Vol.21,No.4,pp.651-656, 2012


4.      Wang Jing, Lu Ke ,Wang Qian, Jia Jie, Kernel Optimization for Blind Motion Deblurring with Image Edge Prior , Mathematical Problems in Engineering, 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 Sun Compass for Perception of Spatial Orientation , Mathematical Problems in Engineering,2012(04):1-15.2012


7.      Sheng yong Chen, Xiuli Li, Ke Lu, Wanliang Wang , Gait Stability and Movement of Snake-like Robots, International Journal of Advanced Robotic Systems, 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, Effectively Localize Text in Natural Scene Images, 21st International Conference on Pattern Recognition (ICPR 2012), November 11-15, 2012. Tsukuba, Japan, PP1197-1200


11.  Liang Li, Qian Wang, Ke Lu, Ning He , A fingerprint key binding algorithm based on vector quantization and error correction , Fourth International Conference on Digital Image Processing (ICDIP 2012), Kuala Lumpur, Malaysia, 2012.5.1-2012.5.4 ,


12.  Bin Lv, Tongning Wu, Ke Lu Yi Xie , Automatic segmentation 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 Transmission Schem for Opportunistic Networks with Social Selfish Nodes, The 4th International Conference on Internet Multimedia Computing and Service(ICIMCS2012), 15-19, Wuhan, China, 2012.9.9-2012.9.12


14.  Ning He, Ke Lu, Qian Wang, Variational Nonlocal Image Segmentation Using Split-Bregman , 4th International Conference on 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 on manufacturing grid resource service optimal-selection and composition framework , Enterprise Information Systems, 2011,6(2):237-264.


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


5.      Liang Li, Ke Lu, Ning He , An improved cross-matching algorithm for fingerprint images from multi-type sensors , 4th International 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 Method for Chinese Paintings by Combining Deformable Models with Graph Cuts , 14th International 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 Improved Geometric Active Contour Model for Concrete CT Image Segmentation Based on Edge Flow, 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):3100-31072009


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NETXBRL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 sets for 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-merging algorithm for stereo matching ,IEEE Youth Conference on Information, Computing and 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-ROAD VEHICLE DETECTIOIN USING HISTOGRAMS OF MULTI-SCALE ORIENTATIONS , IEEE Youth Conference 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 Uniform Convergence of Stationaryp-subdivision Scheme, Edutainment 2008.8.2-2008.8.5.


16.  Ning He, Peng Zhang, Ke Lu, A Geometric Active Contours Model for Multiple Objects Segmentation, 2008 International Conference on Intelligent Computing (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


      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


      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U1301251),245


      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(61271435),86


      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(4141003),65


      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:60362002


      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:60602062;


      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:61141014


      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(2060302


      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(2060302-21


      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(GYHY201106044


      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(4073042;


      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 4102058


      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(33626037


      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:04060125A 

      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