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李子青博士

     Stan Z. Li, Ph. D. 

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做一流研究,培养一流人才,为西湖大学的办学目标而努力。


一、个人简介

李子青(Stan Z. Li),IEEE Fellow,曾任微软亚洲研究院Research Lead,中科院自动化所模式识别国家重点实验室资深研究员。2019年加盟西湖大学工学院,开展人工智能创新研究,包括机器学习/深度学习、大数据分析、计算机视觉,和AI交叉学科领域(智能传感器、生物信息学等)。


1982年毕业于湖南大学无线电专业,获学士学位;1985年毕业于国防科技大学电子技术专业,获硕士学位;1991年毕业于英国Surrey大学计算机视觉专业,获博士学位。1991~2000年在新加坡南洋理工工作,先后任职博士后-讲师-高级讲师(tenure)-副教授(tenure),从事计算机视觉建模理论和方法研究。2000~2004年微软亚洲研究院任Research Lead,从事机器学习和人脸识别方法与系统研究。2004~2019年中科院自动化研究所研究员,生物识别与安全技术研究中心主任,从事机器学习/人脸识别/图像视频分析方法、系统与应用研究。


二、学术成果

发表论文 400 余篇撰写编写著作 9 部,Google Scholar他引超过34000次其中《Markov Random Field Modeling in Image Analysis被誉为"图像分析领域里程碑意义的工作的,他引超过4000次by Google Scholar)。受Springer 之邀主编Encyclopedia of BiometricsHandbook of Face Recognition》。曾任IEEE TPAMI等刊物副主编,2004年来担任100余个国际学术会议大会主席、程序主席,或程序委员。作为人脸识别和智能视频监控专家,主持了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20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。负责多项国家项目和国际合作科研项目,研发的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/SC37生物识别国际标准工作草案并获采纳,在年会全体会议上作了“Biometrics in China”(生物特征识别在中国)的主题演讲。 


三、代表论文

1. Stan. Z. Li. Markov Random Field Modeling in Image Analysis (3rd Edition).  Springer. 2013.

2. Stan Z. Li and Anil K. Jain (eds). Handbook of Face Recognition (2nd Edition). Springer, 2011.

3. Stan Z. Li and Anil K. Jain (eds). Encyclopedia of Biometrics. Springer, 2015.

4. SZ Li, ZQ Zhang. Floatboost learning and statistical face detection. IEEE Transactions on pattern analysis and machine intelligence 26 (9), 1112-1123. 2004.

5. SZ Li, RF Chu, SC Liao, L Zhang. Illumination invariant face recognition using near-infrared images. IEEE Transactions on pattern analysis and machine intelligence 29 (4), 627-639. 2007.

6. SZ Li, J Lu. Face recognition using the nearest feature line method. IEEE transactions on neural networks 10 (2), 439-443. 1999.

7. SZ Li, Face recognition based on nearest linear combinations. Proc. of CVPR, pp.839-844  June 1998

8. SZ Li, L Zhu, ZQ Zhang, A Blake, HJ Zhang, H Shum. Statistical learning of multi-view face detection. ECCV,2002.

9. SZ Li, XW Hou, HJ Zhang, QS Cheng. Learning spatially localized, parts-based representation. CVPR 2001.

10. S Liao, Y Hu, X Zhu, SZ Li. Person re-identification by local maximal occurrence representation and metric learning. CVPR 2015.

11. D Yi, Z Lei, S Liao, SZ Li. Deep metric learning for person re-identification. ICPR 2014.

12. D Yi, Z Lei, S Liao, SZ Li. Learning face representation from scratch. arXiv:1411.7923. 2014.

13. S Liao, X Zhu, Z Lei, L Zhang, SZ Li.Learning multi-scale block local binary patterns for face recognition. ICB 2007.

14. G Guo, SZ Li. Deep metric learning for person re-identification. IEEE transactions on Neural Networks 14 (1), 209-215. 2003.

15. G Guo, SZ Li, K Chan. Face recognition by support vector machines. FG 2000.

 

2018

1. Xiangyu Zhu, Xiaoming Liu, Zhen Lei, Stan Z. Li,  "Face Alignment In Full Pose Range: A 3D Total Solution", IEEE Transaction on Pattern Analysis and Machine Intelligence (Accepted).

2. Hailin Shi, Xiangyu Zhu, Shengcai Liao, Zhen Lei, Stan Z. Li. “Ensemble Deep Network for Face Recognition in the Wild”, IEEE Transaction on Intelligent Systems (IS) (Accepted)

3. Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Xiaobo Wang, Hailin Shi, Stan Z. Li, "Detecting Face with Densely Connected Face Proposal Network," in Neurocomputing, Volume 284, Pages 119-127, 5 April 2018.

4. Zichang Tan, Jun Wan, Zhen Lei, Ruicong Zhi, Guodong Guo, Stan Z. Li, "Efficient Group-n Encoding and Decoding for Facial Age Estimation", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol 40, No. 11, 2018.

5. Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li. “Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd”. In Proceedings of European Conference on Computer Vision, (ECCV2018). Munich, Germany, September 8-14, 2018.

6. Xiaobo Wang, Zhen Lei, Shengcai Liao, Xiaojie Guo, Yang Yang, Stan Z. Li, “Dependence-Aware Feature Coding for Person Re-Identification”, IEEE Signal Processing Letters, vol 25, no. 4, pp.506-510, 2018.

7. Jun Wan, Zichang Tan, Zhen Lei, Guodong Guo, Stan Z. Li, "Auxiliary Demographic Information Assisted Age Estimation with Cascaded Structure", IEEE Transactions on Cybernetics, Vol 48, No. 9, pp. 2531-2541, 2018.

8. Jianzhu Guo, Xiangyu Zhu, Zhen Lei, Stan Z. Li. “Face Synthesis for Eyeglasss-Robust Face Recognition”. In Proceedings of the 13th Chinese Conference on Biometrics, (CCBR2018). XinJiang, China, August 11-12, 2018.

9. Chubin Zhuang, Shifeng Zhang, Xiangyu Zhu, Zhen Lei, Stan Z. Li. “Single Shot Attention-Based Face Detector”. In Proceedings of the 13th Chinese Conference on Biometrics, (CCBR2018). XinJiang, China, August 11-12, 2018.

10. Xiaobo Wang, Zhen Lei, Hailin Shi, Xiaojie Guo, Xiangyu Zhu, Stan Z. Li. “Co-Referenced Subspace Clustering”. In Proceedings of IEEE International Conference on Multimedia and Expo, San Diego, USA, July 23-27, 2018.

11. Xiaobo Wang, Shifeng Zhang, Zhen Lei, Si Liu, Xiaojie Guo, Stan Z. Li. “Ensemble Soft-Margin Softmax Loss for Image Classification”. In Proceedings of the 27th International Joint Conference on Artificial Intelligence, (IJCAI-2018), Stockholm, Sweden, July 13-19, 2018.

12. Shifeng Zhang, Longyin Wen, Xiao Bian, Zhen Lei, Stan Z. Li. “Single-Shot Refinement Neural Network for Object Detection”. In Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition, (CVPR2018). Salt Lake City, Utah, June 18-22, 2018.

13. Jinlin Wu, Hailin Shi, Shu Zhang, Zhen Lei, Yang Yang, Stan Z. Li, "De-mark GAN: Removing DenseWatermarkWith Generative Adversarial Network". In Proceedings of the 11th IAPR International Conference on Biometrics (ICB2018). Queensland, Australia, Feb. 20-23, 2018.

14. Lipeng Wan, Jun Wan, Yi Jin, Zichang Tan, Stan Z.Li, "Fine-grained Multi-attribute Adversarial Learning for Face Generation of Age, Gender and Ethnicity". In Proceedings of the 11th IAPR International Conference on Biometrics (ICB2018). Queensland, Australia, Feb. 20-23, 2018.

15. Chi Lin, Jun Wan, Yanyan Liang, Stan Z. Li, "Large-scale Isolated Gesture Recognition Using Masked Res-C3D Network and Skeleton LSTM", In Proceedings of the 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2018) , 2018.

16. Yang-Yu Fan, Shu Liu, Bo Li, Zhe Guo, Ashok Samal, Jun Wan, Stan Z. Li, "Label Distribution-Based Facial Attractiveness Computation by Deep Residual Learning", IEEE Transactions on Multimedia, Vol 20, No, 8, pp. 2196-2208, 2018.


(完整列表,见李子青谷歌学术中科院自动化所CBSR网页


四、联系方式

电子邮箱:Stan.ZQ.Li at westlake.edu.cn。


李子青实验室招聘:诚聘人工智能方向研究人才,包括研究员、副研究员、助理研究员、博士后、科研助理、实习生,以及IT技术支持、行政助理,见招聘网页


李子青实验室招生:诚挚欢迎计算机、电子工程等信息技术方向,和数学物理方向的本科生和硕士研究生参加2019年西湖大学与浙江大学或复旦大学联合招生。以保研或“申请-考核”制进行选拔,见浙大联合招生简章复旦联合招生简章