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Stan Z. Li received his B.Eng from Hunan University,
China, M.Eng from National University of Defense Technology,
China, and PhD degree from Surrey
University, UK.
He is currently a professor at the National Laboratory of Pattern
Recognition and the director of the Center for Biometrics and
Security Research (CBSR), Institute of Automation (CASIA), and the
director of the Center for Visual Internet of Things Research
(VIOT), Chinese Academy of Sciences. He worked at Microsoft Research
Asia as a researcher from 2000 to 2004. Prior to that, he was an associate
professor at Nanyang
Technological University, Singapore.
He was elevated to IEEE Fellow for his contributions to the fields of face
recognition, pattern recognition and computer vision.
His research interest includes pattern recognition
and machine learning, image and vision processing, face recognition,
biometrics, and intelligent video surveillance. He has published over
200 papers in international journals and conferences, and authored
and edited 8 books among which "Markov Random Field Models in Image Analysis"
(Springer, 1st edition 1995, 2nd
edition 2001, 3rd
edition 2009) has been cited
more than 2000 times (by Google Scholar). Other works include Handbook of Face Recognition (Springer, 1st
edition 2005, 2nd edition 2011) and Encyclopedia of Biometrics (Springer Reference
Work, 2010). He served as an associate editor of IEEE Transactions on Pattern
Analysis and Machine Intelligence and a co-chair of International Conference on
Biometrics 2007 and 2009, and has been involved in organizing other international
conferences and workshops in the fields of his research interest.
Stan Z. Li is an expert in face recognition,
biometrics and intelligent video surveillance. The EyeCU
face recognition system he developed at Microsoft Research Asia was
demonstrated by Bill Gate on a CNN
interview. He has been leading several national and international
projects in
biometrics and intelligent video surveillance. The AuthenMetric face recognition system
and intelligent video surveillance system have been deployed in several
national projects, including Beijing 2008 Olympic Games, Shanghai 2010
World Expo, and immigration control at China borders. He is a
co-chair of SAC/TC100/SC2 for biometrics standardization in China
and delivered a plenary speech on Biometrics
in China at ISO/IEC JTC1/SC37 on behalf of the China National Body.
Research, Publications, Professional
Activities, Li Group
Apollo
in Beijing's Music Station
李子青, 获湖南大学学士、国防科大硕士、英国Surrey大学博士学位。2000年辞去新加坡南洋大学终身教职，加盟微软亚洲研究院。2004年作为“百人计划”入选者来到中科院自动化所，现为模式识别国家重点实验室研究员和生物识别与安全技术研究中心主任,智能视觉物联网研发中心主任。由于在人脸识别、模式识别、计算机视觉领域的贡献，他当选为IEEE
Fellow。
李子青的研究领域包括统计模式识别与机器学习理论，以及生物特征识别、智能视频监控，图像处理与计算机视觉，图像与视频理解。 学术研究积极活跃，发表论文
200 多篇，撰写编写著作
8 部，其中《图像分析中的马尔可夫随机场模型》 (Springer 1995, 2nd edition
2001, 3rd
edition 2009) 被誉为"图像分析领域里程碑意义的工作的，他引超过2000次（by Google Scholar）。受
Springer 之邀主编 《生物特征识别百科全书》(Encyclopedia
of Biometrics, Springer 2009)
和《人脸识别手册》 (Springer, 1st
edition 2005, 2nd edition 2011)。曾任IEEE Transactions on Pattern Analysis
and Machine Intelligence 副主编，2004年来担任70余个国际学术会议大会主席、程序主席，或程序委员。
李子青是人脸识别和智能视频监控专家，主持相关领域的多个国家科学研究项目和重大应用工程项目，在相关领域获准和申请专利10余项。在微软研发的人脸识别系统
EyeCU，比尔.盖茨接受CNN采访为之讲解。在中科院自动化所研发的“AuthenMetric 中科奥森”人脸识别系统和智能视频监控系统，已在包括北京奥运会、上海世博会边检通关等多个国家重大安全项目中实施并发挥作用。李子青为SAC/TC100/SC2副主任委员，代表中国国家体撰写了中国第一个ISO/IEC JTC1/SC37生物识别国际标准工作草案获采纳，并在2006年会全体会议上作了“生物特征识别在中国”的主题演讲。
研究课题， 论文发表，
职业活动
李子青研究组，
招生: 博士、硕士生,
招聘: 博士后、研究、开发人员
北京阿波罗音乐台
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