李子青博士

Stan Z. Li, Ph.D.

人工智能研究与创新实验室

联系

邮箱: Stan.ZQ.Li at westlake.edu.cn

网站:

李子青博士

Stan Z. Li, Ph.D.

人工智能研究与创新实验室

联系

邮箱: Stan.ZQ.Li at westlake.edu.cn

网站:

做一流研究,培养一流人才,为西湖大学的办学目标而努力。让AI照进现实。


个人简介

        李子青(Stan Z. Li),西湖大学人工智能讲席教授,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,研究方向为(1)机器学习、深度学习、数据科学基础理论与方法,(2)AI+学科交叉应用(计算机视觉、生命科学、生物医学、环境科学、材料科学,等)。立足科技前沿,深入科研一线,指导培养了众多杰出学生,部分成为AI学科教授、院长,或国内外知名AI企业CEO、CTO。


学术成果

        发表论文400余篇,撰写编写著作10部,Google Scholar引用43800余次其中《Markov Random Field Modeling in Image Analysis》被誉为"图像分析领域里程碑意义的工作,他引4500余次;受Springer 之邀主编《Handbook of Face Recognition》和《Encyclopedia of Biometrics。曾任AI顶刊IEEE T-PAMI等刊物副主编,担任100余个国际学术会议大会主席、程序主席或程序委员。作为机器学习和计算机视觉专家,在微软领导开发的人脸识别系统 EyeCU,比尔.盖茨接受CNN采访为之讲解;设计研发的多个人脸识别系统和智能视频监控系统,已在包括北京奥运会、上海世博会等国家级重大安全项目中落地实施应用。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。


代表论文

代表作及Google Scholar 高引用论文

1.     Stan Z. Li. Markov Random Field Modeling in Image Analysis (3rd Edition). Springer. 2012.

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 (2nd Edition). Springer, 2015.

4.     Stan Z. Li, XW Hou, HJ Zhang, QS Cheng. Learning spatially localized, parts-based representation. CVPR 2001.

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

6.     Stan Z. 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.

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

8.     Stan Z. LiFace recognition based on nearest linear combinations. Proc. of CVPR, pp.839-844 June 1998

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

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

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

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

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

14. D Yi, Z Lei, S Liao, Stan Z. Li. Deep metric learning for person re-identification. 22nd International Conference on Pattern Recognition, 34-392014.

 

部分2020年论文(更多2020年度论文请见Stan Z. Li @谷歌学术

1.      Stan. Z. Li, Zelin Zang, Lirong Wu.  Markov-Lipschitz Deep Learning. arXiv:2006.08256. 2020.

2.      Shifeng Zhang, Cheng Chi, Zhen Lei, Stan Z LiRefineface: Refinement neural network for high performance face detection. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2020.

3.      Jianzhu Guo, Xiangyu Zhu, Chenxu Zhao, Dong Cao, Zhen Lei, Stan Z Li. Learning meta face recognition in unseen domains. CVPR 2020.

4.      Zichang Tan, Yang Yang, Jun Wan, Guodong Guo, Stan Z Li. Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks. AAAI 2020.

5.      Cheng Chi, Shifeng Zhang, Junliang Xing, Zhen Lei, Stan Z Li, Xudong Zou. PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes. AAAI 2020.

6.      JunWan XuxinLin, Yiliang Xie, Shifeng Zhang, Chi Lin, Yanyan Liang, Guodong Guo, Stan Z Li. Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis. IEEE TRANSACTIONS ON CYBERNETICS. 2020.

7.      Siyuan Li, Haitao Lin, Zelin Zang, Lirong Wu, Jun Xia, Stan Z. LiInvertible Manifold Learning for Dimension Reduction. arXiv:2010.04012. 2020.

8.      Lirong Wu, Zicheng Liu, Zelin Zang, Jun Xia, Siyuan Li, Stan. Z LiDeep Clustering and Representation Learning that Preserves Geometric Structures. arXiv:2009.09590. 2020.

9.      Zhangyang Gao, Haitao Lin, Stan. Z Li.  Clustering Based on Graph of Density Topology. arXiv:2009.11612. 2020.

10.   Jun Xia, Haitao Lin, Yongjie Xu, Lirong Wu, Zhangyang Gao, Siyuan Li, Stan Z. LiTowards Robust Graph Neural Networks against Label Noise. 2020.

11.   Stan Z. Li, Zelin Zang, Lirong Wu.  Deep Manifold Computing and Visualization. arXiv:2010.14831. 2020.

12.   Kai Zhou, Yaoting Sun, Lu Li, Zelin Zang, …… , Stan Z. Li, Tiannan Guo. Eleven Routine Clinical Features Predict COVID-19 Severity. medRxiv:10.1101/2020.07.28.20163022. 2020.

13.   Yaoting Sun, Sathiyamoorthy Selvarajan, Zelin Zang, ……, Stan Z. Li, Tiannan Guo. Protein Classifier for Thyroid Nodules Learned from Rapidly Acquired Proteotypes. medRxiv:10.1101/2020.04.09.20059741. 2020.

14.   Fangfei Zhang, Shaoyang Yu, Lirong Wu, Zelin Zang, ……, Stan Z. Li, Tiannan Guo. Phenotype Prediction using a Tensor Representation and Deep Learning from Data Independent Acquisition Mass Spectrometry. bioRxiv:10.1101/2020.03.05.978635. 2020.



招聘招生    

        岗位招聘: 研究员、副研究员、助理研究员、博士后、科研助理。研究方向:机器学习/深度学习、数据科学、AI+学科交叉应用。

        博士生招生:实验室学生多来自顶尖985院校的top学生,且多位学生专业成绩排名第一或在本科就已发表优秀论文。欢迎各位有数据科学/机器学习/深度学习经验的同学申请,基本要求:

    1.      本科就读于国内外知名高校且本科课业成绩或科研成果拔尖;

    2.      硕士起点同学要求必须有文章产出,本科来自国内外一流高校;

    3.      英语要求6480+ / 雅思6.0+ / 托福90+

        实习生招聘:要求数学好、编程好、英语好,有深度学习研发经验。欢迎有志于AI研究与创新的在读学生访问实习。

         简历请投至:cairi@westlake.edu.cn. 期待你的加入! 


相关链接

        李子青西湖大学网页:https://www.westlake.edu.cn/about/faculty/CONTACT_Members/202006/t20200618_5961.shtml

        李子青中科院自动化所网页:http://www.cbsr.ia.ac.cn/users/szli/

        李子青谷歌学术网页: https://scholar.google.com/citations?hl=zh-CN&user=Y-nyLGIAAAAJ

        西湖大学招生信息:https://www.westlake.edu.cn/admissions_aid/graduate/