智能感知与计算研究中心
中国科学院自动化研究所   联系我们    English
 
     个人主页
王亮

             电子邮件:wangliang@nlpr.ia.ac.cn
             联系电话:010-82544643
             通信地址:北京市海淀区中关村东路95号智能化大厦1503
             邮政编码:100190
             个人主页:http://cripac.ia.ac.cn/people/lwang/lwang.html
       

个人简介

      王亮,博士,研究员,博士生导师,国际模式识别学会会士(IAPR Fellow, 2014),国际电子电气工程师学会会士(IEEE Fellow,2019)。1997、2000年分别于安徽大学电子工程与信息科学系获得工学学士、硕士学位,2004年于中科院自动化所获得工学博士学位。2004-2010期间,先后于英国帝国理工学院、澳大利亚莫纳什大学、澳大利亚墨尔本大学、英国巴斯大学工作,历任助研、研究员和讲师。2015年获得国家杰出青年科学基金,2016年获得第十四届中国青年科技奖,2017年入选科技部中青年科技创新领军人才,2018年入选首都科技创新领军人才培养工程及国家第四批万人计划科技创新领军人才。目前是模式识别国家重点实验室副主任,中科院自动化所智能感知与计算研究中心常务副主任,中国计算机学会计算机视觉专委会秘书长,中国图像视频大数据产业技术创新战略联盟秘书长,中国图象图形学学会视觉大数据专委会主任,中科院脑科学与智能技术卓越中心骨干人才,中国科学院大学特聘岗位教授,国家重点研发计划云计算与大数据重点专项项目首席科学家,中科人工智能创新技术研究院院长等。目前是IEEETPAMI、IEEETIP、PatternRecognition等国际知名期刊的编委,曾是IEEE TIFS(2013-2016)、IEEE TSMC-B(2007-2016)、《自动化学报》(2015-2018)、Neurocomputing(2009-2014)等国内外学术期刊的编委,中国电子学会青年科学家俱乐部副主席(2015-2018),AVSS2012、ACPR2015、DSP2016、IJCB2017、ACPR2019、ICPR2018等国际会议的大会、程序或组织主席等。承担国家级、省部级各类科研项目20余项,主要从事计算机视觉、模式识别、机器学习、数据挖掘等相关领域的研究。截至目前,已申请或授权发明专利50余项,出版专著2部、编著7部,已发表或接收论文260余篇,获得ICPR2014最佳学生论文奖、CCCV2015最佳学生论文奖、CCPR2016最佳论文奖、ICDAR2019最佳论文提名等。目前,谷歌学术引用16000余次,H-index是56(2014-2018连续五年入选ESI高被引科学家名单)。已与华为、爱奇艺、腾讯、京东金融、高德、美的等知名企业进行技术研发或应用的广泛合作。部分研究成果已孵化银河水滴科技(北京)有限责任公司。

研究领域

模式识别、计算机视觉、机器学习、数据挖掘等

所获奖励

国际电气与电子工程师学会会士  (IEEE Fellow),  2019
首都科技领军人才培养工程,2018
中国科学院优秀导师奖,2017、2018
计算机视觉研究与应用创新论坛(RACV2016)专题竞赛 爱奇艺视频技术挑战赛一等奖:王洪松,杜勇,王亮,2016
亚洲计算机视觉会议(ACCV2016)3D行为识别竞赛亚军:王洪松,王亮 ,2016
中国青年科技奖,2016
国家杰出青年科学基金,2015
国际模式识别协会会士(IAPR Fellow), 2014
青年科学之星信息科学银奖,2011
IEEE 高级会员, 2009-
澳大利亚墨尔本大学早期职业研究者项目基金,2009
澳大利亚墨尔本大学研究优秀奖,2008
全国百篇优秀博士论文提名奖,2006
中国科学院优秀博士学位论文,2005
北京市科学技术一等奖,2004
中国科学院院长奖学金特别奖,2003

学术任职

中国图象图形学学会视觉大数据专委会,主任2017-
中国电子学会青年科学家俱乐部副主席,2015–
中国图像视频大数据产业技术创新战略联盟,秘书长,2014–
国际模式识别学会(IAPR)会士,2014-
中国计算机学会计算机视觉专委会,秘书长,2013–
Pattern Recognition编委(2017 -)
国际电气与电子工程师学会  (IEEE ) 会士,  2019-

代表性著作


部分期刊论文
C. S. Cao, Y. Z. Huang, Y. Yang, L. Wang, Z. L. Wang, T. N. Tan,Feedback convolutional neural network for visual localization and segmentation, IEEE Transactions on Pattern Analysis and Machine Intelligence,2019, 41(7):1627-1640.
Y. Q. Zhang, Y. Z. Huang, L. Wang, S. Q. Yu, A comprehensive study on gait biometrics via a joint CNN-based method, Patten Recognition, 2019,93:228-236.
L.J. Huang, Y. Huang, W.L. Ouyang, L. Wang, Part-Aligned Pose-Guided Recurrent Network for Action Recognition, Pattern Recognition, 2019,92: 165-176.
L. Wang, L. Cheng and L. Wang, Elastic sequence correlation for human action analysis, IEEE Transactions on Image Processing (TIP), 2011, 20(6): 1725-1738.
X. Geng, K. Smith-Miles, Z. H. Zhou, and L. Wang, Face image modelling by multilinear subspace analysis with missing values, IEEE Transactions on System, Man, and Cybernetics, Part B (TSMC-B), 2011, 41(3): 881-892.
Y. Song, X. Bai, P. Hall and L. Wang, In search of perceptually salient groupings, IEEE Transactions on Image Processing (TIP), 2011, 20(4): 935-947.
B. Tan, J. P. Zhang and L. Wang, Semi-supervised elastic net for pedestrian counting, Pattern Recognition (PR), 2011, 44(10-11):2297-2304.
L. Wang, C. Leckie, R. Kotagiri, and J. Bezdek, Approximate pairwise clustering for large datasets via sampling plus extension, Pattern Recognition (PR), 2011, 44(2): 222-235.
L. Wang, G. Y. Zhao, N. Rajpoot, and M. Nixon, Special issue on new advances in video-based gait analysis and applications: challenges and solutions, IEEE Transactions on System, Man and Cybernetics – Part B (TSMC-B), 2010, 40(4): 982-985.
X. Geng, K. Smith-Miles, L. Wang, M. Li, and Q. Wu, Context-aware multi-biometric fusion with application to human identification in video, Pattern Recognition (PR), 2010, 43 (10): 3660-3673.
L. Wang, X. Geng, J. Bezdek, C. Leckie, and R. Kotagiri, Enhanced visual analysis for cluster tendency assessment and data partitioning, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2010, 22(10): 1401-1414.
H. Zhou, L. Wang and D. Suter, Human action recognition using feature-reduced Gaussian process classification, Pattern Recognition Letters (PRL), 2009, 30(12): 1059-1066.
L. Wang, C. Leckie, R. Kotagiri, and J. Bezdek, Automatically determining the number of clusters in unlabeled data sets, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2009, 21(3): 335-350.
L. Wang and D. Suter, Visual learning and recognition of sequential data manifolds with applications to human movement analysis, Computer Vision and Image Understanding (CVIU), 2008, 110(2): 153-172.
L. Wang, J. C. Bezdek, C. Leckie, and R. Kotagiri, Selective sampling for approximate clustering of very large data sets, International Journal of Intelligence Systems (IJIS), 2008, 23(3): 313-331.
L. Wang and D. Suter, Learning and matching of dynamic shape manifolds for human action recognition, IEEE Transactions on Image Processing (TIP), 2007, 16(6): 1646-1661.
L. Wang, T. N. Tan, H. Z. Ning, and W. M. Hu, Fusion of static and dynamic body biometrics for gait recognition, IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2004, 14(2): 149-158.
W. M. Hu, T. N. Tan, L. Wang, and S. Maybank, A survey of visual surveillance of object motion and behaviors, IEEE Transactions on Systems, Man, and Cybernetics - Part C (TSMC-C), 2004, 34(3): 334-352.
H. Z. Ning, T. N. Tan, L. Wang, and W. M. Hu, Kinematics-based tracking of human walking in monocular video sequences, Image and Vision Computing (IVC), 2004, 22: 429-441.
H. Z. Ning, T. N. Tan, L. Wang, and W. M. Hu, People tracking based on motion model and motion constraints with automatic initialization, Pattern Recognition (PR), 2004, 37: 1423-1440.
L. Wang, T. N. Tan, H. Z. Ning, and W. M. Hu, Silhouette analysis based gait recognition for human identification, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2003, 25(12): 1505-1518.
L. Wang, T. N. Tan, W. M. Hu, and H. Z. Ning, Automatic gait recognition based on statistical shape analysis, IEEE Transactions on Image Processing (TIP), 2003, 12(9): 1120-1131.
L. Wang, W. M. Hu and T. N. Tan, Recent developments in human motion analysis, Pattern Recognition (PR), 2003, 36(3): 585-601. 

部分会议论文
C. Wang, J. P. Zhang, J. Pu, X. R. Yuan, and L. Wang, Chrono-gait image: A novel temporal template for gait recognition, Proceedings of European Conference on Computer Vision (ECCV, Poster, 27% acceptance rate), pp. 257-270, 2010.
L. Wang, C. Leckie and R. Kotagiri, Combining real and virtual graphs to enhance data clustering, Proceedings of International Conference on Pattern Recognition (ICPR, Oral), pp. 790-793, 2010.
L. Wang and C. Leckie, Encoding actions via the quantized vocabulary of averaged silhouettes, Proceedings of International Conference on Pattern Recognition (ICPR, Poster), pp. 3657-3660, 2010.
L. Wang, U. Nguyen, C. Leckie, J. Bezdek, and R. Kotagiri, iVAT and aVAT: visual analysis for cluster tendency assessment, Proceedings of 14th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, Long, 10.2% acceptance rate), LNAI 6118, pp. 16-27, 2010.
L. Wang, H. Zhou, S. Low, and C. Leckie, Action recognition via multi-feature fusion and Gaussian process classification, Proceedings of International Workshop on Applications of Computer Vision (WACV), pp. 1-6, 2009.
X. Geng, K. Smith-Miles, L. Wang, and Z. H. Zhou, Face image modelling by multilinear subspace analysis with missing values, Proceedings of ACM International Conference on Multimedia (MM), pp. 629-632, 2009.
L. Wang, C. Leckie, R. Kotagiri, and J. Bezdek, Approximate spectral clustering, Proceedings of 13th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, Long, 11.5% acceptance rate), LNAI 5476, pp. 134-146, 2009.
L. Wang, X. Geng, J. Bezdek, C. Leckie, and R. Kotagiri, SpecVAT: enhanced visual cluster analysis, Proceedings of IEEE International Conference on Data Mining (ICDM, Regular, 9.6% acceptance rate), pp. 638-647, 2008.
L. Wang, X. Geng, C. Leckie, and R. Kotagiri, Moving shape dynamics: a signal processing perspective, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Poster, 27.9% acceptance rate), pp. 1649-1656, 2008.
X. Z. Wang, L. Wang and A. Wirth, Pattern discovery in motion time series via structure-based spectral clustering, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Poster, 27.9% acceptance rate), pp. 341-348, 2008.
L. Wang, X. Z. Wang, C. Leckie, and R. Kotagiri, Characteristic-based descriptors for motion sequence recognition, Proceedings of the 12th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD, Long, 11.9% acceptance rate), LNCS 5012, pp. 369-380, 2008.
X. Geng, L. Wang, M. Li, Q. Wu, and K. Smith-Miles, Adaptive fusion of gait and face for human identification in video, Proceedings of IEEE Workshop on Applications of Computer Vision (WACV, Oral), pp. 1-6, 2008.
X. Z. Wang, A. Wirth and L. Wang, Structure-based statistical features and multivariate time series clustering, Proceedings of the 7th IEEE International Conference on Data Mining (ICDM, Regular, 7.5% acceptance rate), pp. 351-360, 2007.
L. Wang and D. Suter, Recognizing human activities from silhouettes: motion subspace and factorial discriminative graph model, Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR, Poster, 23.4% acceptance rate), pp. 2518-2525, 2007.
T. J. Chin, L. Wang, K. Schindler, and D. Suter, Extrapolating learned manifolds for human activity recognition, Proceedings of the 14th IEEE International Conference on Image Processing (ICIP, Poster), I: 381-384, 2007.
L. Wang and D. Suter, Analyzing human movements from silhouettes using manifold learning, Proceedings of the 5th IEEE International Conference on Advanced Video- and Signal-based Surveillance (AVSS, Oral), p. 7, 2006.
L. Wang and D. Suter, Informative shape representations for human action recognition, Proceedings of the 18th International Conference on Pattern Recognition (ICPR, 15% acceptance rate), 2: 1266-1269, 2006.
L. Wang, Abnormal walking gait analysis using silhouette-masked flow histograms, Proceedings of 18th International Conference on Pattern Recognition (ICPR, Poster), III: 473-476, 2006.
L. Wang, From blob metrics to posture classification to activity profiling, Proceedings of the 18th International Conference on Pattern Recognition (ICPR, Poster), 4: 736-739, 2006.
L. Wang, H. Z. Ning, T. N. Tan, and W. M. Hu, Fusion of static and dynamic body biometrics for gait recognition, Proceedings of the 9th International Conference on Computer Vision (ICCV, Poster, 16.1% acceptance rate), 2: 1449-1454, 2003.

部分著作
L. Wang, G. Y. Zhao, L. Cheng, and M. Pietiaainen, Machine learning for vision-based motion analysis: theory and technologies, Springer, ISBN: 978-0-85729-056-4, 372 pages, December 2010.
D. Schonfeld, C. F. Shan, D. C. Tao, and L. Wang, Video search and mining, Springer, ISBN: 978-3-642-12899-8, 386 pages, March 2010.
L. Wang, L. Cheng and G. Y. Zhao, Machine learning for human motion analysis: theory and practice, IGI Global USA, ISBN: 978-1-60566-900-7, 387 pages, December, 2009.
L. Wang and X. Geng, Behavioural biometrics for human identification: intelligent applications, IGI Global USA, ISBN: 978-1-60566-725-6, 488 pages, August 2009.

 
友情链接
 
中科院自动化研究所 智能感知与计算研究中心
中国科学院自动化研究所  事业单位   京ICP备14019135号-3