1、招生信息2、教育背景3、工作经历4、教授课程5、专利与奖励6、出版信息7、科研活动8、合作情况9、指导学生
基本信息
刘智勇 男 博导 自动化研究所
电子邮件：zhiyong.liu@ia.ac.cn
通信地址：中关村东路95号自动化大厦904房间
邮政编码：100190


研究领域图像视频处理，信号分析，图像识别
教育背景 2000-08--2003-08 香港中文大学 博士
1997-09--2000-06 中科院自动化所 工学硕士
1993-09--1997-06 天津大学电子工程系 工学学士


学历09/1993 - 06/1997：天津大学电子工程系， 工学学士
09/1997 - 06/2000：中国科学院自动化研究所， 工学硕士
09/2000 - 08/2003：香港中文大学计算机科学与工程系， 哲学博士



学位

出国学习工作
工作经历

工作简历 2013-10--今 中科院自动化所复杂系统管理与控制国家重点实验室 研究员
2005-04--今 中科院自动化所复杂系统管理与控制国家重点实验室 副研究员
2003-09--2004-08 香港中文大学工程学院 博士后


社会兼职 2015-02--今 IEEE，高级会员

教授课程
专利与奖励国家自然科学奖二等奖，2014，基于环境约束和多空间分析的机器人操作理论研究

专利成果
出版信息1.Zhi-Yong Liu, Hong Qiao, Xu Yang, and Steven C. H. Hoi (2014), “Graph Matching by Simplified Convex-Concave Relaxation Procedure”, International Journal of Computer Vision, Vol. 109, pp. 169–186, 2014
2.Zhi-Yong Liuand Hong Qiao (2014), “GNCCP - Graduated NonConvexity and Concavity Procedure”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.36, No. 6, pp. 1258-1267
3.Zhi-Yong Liu, Hong Qiao, and Lei Xu (2012), "An Extended PATH Following Algorithm for Graph Matching Problem", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 34, No. 7, pp. 1451-1456
4.Zhi-Yong Liu, and Hong Qiao (2009), "Multiple ellipses detection in noisy environments: A hierarchical approach", Pattern Recognition, Vol. 42, No. 11, pp. 2421-2433
5.Zhi-Yong Liu, Hong Qiao, and Lei Xu (2006), "Multisets mixture learning-based ellipse detection", Pattern Recognition, Vol. 39, No. 4, pp. 731-735
6.Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu (2004), "One-Bit-Matching Conjecture for Independent Component Analysis", NeuralComputation, Vol. 16, No. 2, pp. 383-399
7.Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu (2003), "Improved System for Object Detection and Star/galaxy Classification via Local Subspace Analysis", Neural Networks, Vol. 16, No. 3-4. pp. 437-451
8.Zhi-Yong Liu, Hong Qiao, Li-Hao Jia, and Lei Xu(2014)，A Graph Matching Algorithm Based on Concavely Regularized Convex Relaxation, Neurocomputing, Vol. 134, No. 25, pp. 140 -148
9.Zhi-Yong Liu, and Hong Qiao (2011), "Investigation on the skewness for independent component analysis", Science China,Vol. 41, No. 8, pp.998-1012
10.Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu (2004), "Investigation on Non-Gaussian Factor Analysis", IEEE Signal Processing Letters, Vol. 11, No. 6., pp. 597-600
11.Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu (2003), "Strip line detection and thinning by RPCL-based local PCA", Pattern Recognition Letter, Vol. 24, No. 14, pp. 2335-2344
12.Zhi-Yong Liu and Lei Xu (2003),, "Topological Local Principal Component Analysis", Neurocomputing, Vol. 55, No. 3-4, pp.739-745
13.Zhi-Yong Liu, Hong Qiao, and Lei Xu (2007), "Investigation on Multisets Mixture Learning based Object Detection", International Journal of Pattern Recognition and Artificial Intelligence, Vol. 21, No. 8, pp. 1339-1351
14.Xu Yang, Hong Qiao, and Zhi-Yong Liu（通讯作者）(2015),”A Weighted Common Subgraph Matching Algorithm”, IEEE Transactions on Neural Networks and Learning Systems, accepted and to appear
15.Xu Yang, Hong Qiao, and Zhi-Yong Liu（通讯作者）(2014), “Partial Correspondence based on Subgraph Matching”, Neurocomputing, Vol. 122, No. 25, 2014
16.Xu Yang, Hong Qiao, and Zhi-Yong Liu（通讯作者） (2015), “Feature Correspondence Based on Directed Structural Model Matching “, Image and Vision Computing, Vol. 33, pp. 57-67
17.Xu Yang, Hong Qiao, and Zhi-Yong Liu（通讯作者）(2014), “Outlier Robust Point Correspondence Based on GNCCP“, Pattern Recognition Letters, Vol. 55, pp. 8-14
18.Jinwen Ma, Zhi-Yong Liu, Lei Xu (2005), A Further Result on the ICA One-Bit-Matching Conjecture, Neural Computation,Vol.17 No.2, pp.331-334
19.Bin Li, Steven C.H. Hoi, Doyen Sahoo and Zhi-Yong Liu(2015), Moving Average Reversion Strategy for On-Line Portfolio Selection, Artificial Intelligence, Vol. 22, pp. 104-123
20.Lei Shi, Zhi-Yong Liu, Shikui Tu, and Lei Xu (2014),“Learning Local Factor Analysis versus Mixture of Factor Analyzers with Automatic Model Selection”, Neurocomputing, Vol. 139, pp. 3-14
21.Jian-Hua Su, Hong Qiao, Zhi-Cai Ou, and Zhi-Yong Liu (2014), ”Vision-based Caging Grasps of Polyhedron like Workpieces with a Binary Industrial Gripper”, IEEE Transactions on Automation Science and Engineering, Accepted and to Appear


发表著作
科研活动

科研项目 （1） 组合图优化理论、算法及其在模式分析中的应用研究，主持，国家级，2014-01--2017-12
（2） 引入人的视-触觉认知及其融合实现机器人与人的仿人交互与合作，参与，国家级，2010-12--2014-12
（3） 双色网络的数学建模与数学、物理学、生物学含义分析，参与，部委级，2009-01--2013-12


参与会议
合作情况

项目协作单位
指导学生已指导学生

李远钱 硕士研究生 081101-控制理论与控制工程

现指导学生

曹恩华 硕士研究生 081101-控制理论与控制工程

李川 硕士研究生 081104-模式识别与智能系统

王晶晶 硕士研究生 081104-模式识别与智能系统

熊方舟 硕士研究生 081104-模式识别与智能系统