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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,研究员,博士生导师,电子电气工程师学会(IEEE)会士,国际模式识别学会(IAPR)会士,国家杰出青年科学基金获得者,中国青年科技奖获得者。1997年和2000年分别获安徽大学工学学士和硕士学位,2004年获中国科学院自动化研究所工学博士学位。2004-2010年分别在英国帝国理工大学(Imperial College London)、澳大利亚莫纳什大学(Monash University)、澳大利亚墨尔本大学(University of Melbourne)及英国巴斯大学(University of Bath)工作,历任助理研究员、研究员和讲师。2010年入选中国科学院“百人计划”(终期优秀),现为中科院自动化所模式识别国家重点实验室副主任、智能感知与计算研究中心副主任、研究员。
王亮博士主要从事机器学习、计算机视觉、模式识别、数据挖掘等相关领域的研究工作。现已出版编(专)著7部,在主要的国内外学术期刊和国际学术会议上发表论文200余篇。他曾或现为《IEEE Transactions on Information Forensics and Security》、《IEEE Transactions on System, Man and Cybernetics – Part B》、《Pattern Recognition》等国际期刊编委,CCPR2012、AVSS2012、ACPR2015、CCCV2015、DSP2016、RACV2016、CCCV2017、IJCB2017等国内外会议的大会主席或程序主席。

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
中科院百人计划终期评估优秀,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
中科院百人计划入选者,2010
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
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.

 
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