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  • 姓名: 王亮
  • 性別: 男
  • 職稱: 研究員
  • 電子郵件: 
    簡  歷:
  • 姓名

    王亮

    性別

     

    職務

     

    職稱

    研究員

     

    個人主頁

    http://cripac.ia.ac.cn/irds/People/lwang/lwang.html

     

    聯系方式

    wangliang@nlpr.ia.ac.cn

     

    研究領域

    模式識別、計算機視覺、機器學習、數據挖掘等

     

    簡歷

    王亮,研究員,博士生導師,電子電氣工程師學會(IEEE)高級會員,國際模式識別學會(IAPR)會士,國家杰出青年科學基金獲得者。1997年和2000年分別獲安徽大學工學學士和碩士學位,2004年獲中國科學院自動化研究所工學博士學位。2004-2010年分別在英國帝國理工大學(Imperial College London)、澳大利亞莫納什大學(Monash University)、澳大利亞墨爾本大學(University of Melbourne)及英國巴斯大學(University of Bath)工作,歷任助理研究員、研究員和講師。2010年入選中國科學院百人計劃,現為中科院自動化所模式識別國家重點實驗室副主任、研究員。 
          
    王亮博士主要從事機器學習、計算機視覺、模式識別、數據挖掘等相關領域的研究工作。現已出版編(專)著7部,在主要的國內外學術期刊和國際學術會議上發表論文百余篇。他現為《IEEE Transactions on Information Forensics and Security》、《IEEE Transactions on System, Man and Cybernetics – Part B》、《Neurocomputing》等國際學術刊物的編委,曾獲得中科院院長獎學金特別獎、中科院優秀博士論文及全國百篇優秀博士論文提名獎等榮譽。他是CCPR2012AVSS2012ACPR2015CCCV2015等國內外會議的大會程序主席。

     

     

     

     

     

     

     

     

     

     

     

     

    學術任職

     IEEE Transactions on Information Forensics and Security編委 2013 - 
     IEEE Transactions on Cybernetics
    編委 2007 -

     

     

     

     

    學術成就

    部分期刊論文
    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. 

    部分會議論文
    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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