基本信息
王亮  男  博导  中国科学院自动化研究所
电子邮件： wangliang@nlpr.ia.ac.cn
通信地址： 中关村东路95号
邮政编码： 100190

研究领域

模式识别、计算机视觉、机器学习、数据挖掘等

招生信息

招生专业：模式识别与智能系统；计算机应用技术

招生方向：模式识别，计算机视觉，图像与视频理解，机器学习，数据挖掘

教育背景

2000-09--2004-07   中国科学院自动化研究所   工学博士
1997-09--2000-09   安徽大学   工学硕士
1993-09--1997-09   安徽大学   工学学士

工作经历

2010-07--今 中科院自动化研究所 研究员（多模态人工智能系统全国重点实验室副主任，曾任模式识别国家重点实验室副主任）
2009-11--2010-07 英国巴斯大学 讲师
2007-01--2009-11 澳大利亚墨尔本大学 研究员
2005-10--2007-01 澳大利亚莫拿什大学 助理研究员
2004-07--2005-10 英国帝国理工学院 助理研究员 

教授课程

深度学习
Digital Media

荣誉与奖励

  1. ​中国计算机学会会士（CCF Fellow），2023
  2. 中国图象图形学学会会士（CSIG Fellow），2023
  3. 中国图象图形学学会科技进步二等奖，2021
  4. 中国人工智能学会会士（CAAI Fellow），2021
  5. 国家杰出青年科学基金结题评估优秀，2020
  6. 中国电子学会会士（CIE Fellow），2019
  7. 国际电气电子工程师学会会士（IEEE Fellow），2019
  8. 中组部万人计划科技创新领军人才，2019
  9. 北京市科学技术奖二等奖（排名第一），2018
  10. 科技部中青年科技创新领军人才，2018
  11. 首都科技创新领军人才，2017
  12. 国家重点研发计划项目首席科学家，2016
  13. 中国青年科技奖，2016
  14. 国家杰出青年科学基金，2015
  15. 中科院****终期评估优秀，2015
  16. 国际模式识别协会会士（IAPR Fellow），2014
  17. 青年科学之星信息科学银奖，2011
  18. 中科院****入选者，2010
  19. IEEE 高级会员，2009-
  20. 澳大利亚墨尔本大学早期职业研究者项目基金，2009
  21. 澳大利亚墨尔本大学研究优秀奖，2008
  22. 全国百篇优秀博士论文提名奖，2006
  23. 中国科学院优秀博士学位论文，2005
  24. 北京市科学技术一等奖，2004
  25. 中国科学院院长奖学金特别奖，2003

出版信息

Selected books

  • 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. 

Selected journal articles

  • 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. 

Selected conference papers

  • 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.

科研项目

（ 1 ） 面向人机协同任务的情境认知与效能优化, 负责人, 国家任务, 2023-03--2026-02

（ 2 ） 知识驱动的复杂场景多模态语义理解理论与方法, 负责人, 国家任务, 2023-01--2027-12

（ 3 ） 社会大数据跨尺度系统学习关键技术与示范应用, 负责人, 国家任务, 2022-03--2025-12

（ 4 ） 深度认知神经网络理论与方法研究, 负责人, 国家任务, 2017-01--2021-12

（ 5 ） 面向大范围场景透彻感知的视觉大数据智能分析关键技术与验证系统, 负责人, 国家任务, 2016-07--2020-06

（ 6 ） 个体视觉大数据的透彻感知关键技术, 负责人, 国家任务, 2016-07--2020-06

（ 7 ） 视觉模式分析与理解, 负责人, 国家任务, 2016-01--2020-12

（ 8 ） 大规模可视化聚类分析与应用研究, 负责人, 国家任务, 2012-01--2015-12

（ 9 ） 智能视觉计算理论和方法研究, 负责人, 中国科学院计划, 2011-05--2014-04

（ 10 ） 远距离多模态生物识别系统与应用合作研究, 负责人, 国家任务, 2011-01--2013-12

（ 11 ） 增强型搜索系统架构、关键技术及测试规范研究, 负责人, 国家任务, 2011-01--2013-06

（ 12 ） 先进视觉计算, 负责人, 研究所自选, 2010-07--2013-06


学术兼职

  • Associate editor of Machine Intelligence Research, 2022.01 -, ISSN 2731-538X
  • Associate editor of IEEE Transactions on Systems, Man and Cybernetics, Part B (IEEE TSMC-B), 2007.12 -, ISSN: 1083-4419
  • Associate editor of International Journal of Image and Graphics (IJIG), 2008.06 -, ISSN: 0219-4678
  • Editorial board of Signal Processing, 2008.09 -2011.01, ISSN: 0165-1684
  • Editorial board of Neurocomputing, 2009.03 -, ISSN: 0925-2312
  • Editorial board of International Journal of Cognitive Biometrics, 2009.12-, ISSN: 2042-6461