个人主页

研究领域

机器人自主学习（智能发育）：以强化学习为主要手段，研究机器人持续多任务自主学习的能力

机器人视觉：二维及三维视觉感知（目标检测、识别、跟踪和位姿检测等）

模识识别基础理论：图学习、结构化先验机器学习等

招生信息

对研究具有强烈的好奇和兴趣，并为之付出锲而不舍的探索精神。欢迎有志于机器人自主学习、（三维）视觉感知研究的同学报考！

招生专业

081104-模式识别与智能系统

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

工作经历

工作简历

2013-10~现在, 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
2005-04~2013-10,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

2015-02-28-今,IEEE, 高级会员

教授课程

工业视觉检测
机器视觉及其应用
模式识别

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

（ 1 ）一种应用于大规模非规则结构数据的图搜索算法, 发明, 2016, 第 1 作者, 专利号: CN201510872650.X
（ 2 ）一种移动机器人图像拼接方法及装置, 发明, 2015, 第 1 作者, 专利号: CN201410727745.8
（ 3 ）一种有效的工厂设备优化布局方法, 发明, 2013, 第 1 作者, 专利号: CN201310177392.4

出版信息

国际SCI期刊论文（通讯作者*,影响因子IF为2016年统计值）：

1. Zhi-Yong Liu, JingJing Wang, Xu Yang and Shi-Hao Feng, “LibCoopt: A Library for Combinatorial Optimization on Partial Permutation Matrices”, Neurocomputing, 237: 414-417 (2017) (IF: 3.317)

2. 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 (IF: 8.222)

3. Zhi-Yong Liu and Hong Qiao (2014), “GNCCP - Graduated NonConvexity and Concavity Procedure”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol.36, No. 6, pp. 1258-1267 (IF: 8.329)

4. 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 (IF: 8.329)

5. 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 (IF: 4.582)

6. Zhi-Yong Liu, Hong Qiao, and Lei Xu (2006), "Multisets mixture learning-based ellipse detection", Pattern Recognition, Vol. 39, No. 4, pp. 731-735 (IF: 4.582)

7. Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu (2004), "One-Bit-Matching Conjecture for Independent Component Analysis", Neural Computation, Vol. 16, No. 2, pp. 383-399 (IF: 1.938)

8. 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 (IF: 5.287)

9. 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 (IF: 3.317)

10. Zhi-Yong Liu, and Hong Qiao (2011), "Investigation on the skewness for independent component analysis", Science China, Vol. 41, No. 8, pp.998-1012 (IF: 1.682)

11. 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 (IF: 2.528)

12. 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 (IF: 1.995)

13. Zhi-Yong Liu and Lei Xu (2003), "Topological Local Principal Component Analysis", Neurocomputing, Vol. 55, No. 3-4, pp.739-745 (IF: 3.317)

14. 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 (IF: 0.994)

15. Zhi-Yong Liu and Hong Qiao, “A Convex-Concave Relaxation Procedure Based Subgraph Matching Algorithm”, Journal of Machine Learning Research: W&CP, 25, 237-252, 2012 (IF: 2.228)

16. Xu Yang, Zhi-Yong Liu*, and Hong Qiao. A Continuation Method for Graph Matching based Feature Correspondence. IEEE Transactions on Pattern Analysis and Machine Intelligence, accepted and to appear, DOI: 10.1109/TPAMI.2019.2903483, 2019

17. Lu Zhang, Zhi-Yong Liu*, Shifeng Zhang, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain, Cross-modality interactive attention network for multispectral pedestrian detection, Information Fusion, 50：20-29, 2019 (IF: 6.639)

18. Fangzhou Xiong, Biao Sun, Xu Yang, Hong Qiao, Kaizhu Huang, Amir Hussain, and Zhiyong Liu*, Guided Policy Search for Sequential Multi-Task Learning, IEEE Trans. Systems, Man, and Cybernetics: Systems, 49(1), 1-11, 2018 (IF：5.131)

19. Yang, Xu; Liu, Zhi-Yong; Qiao, Hong; Song, Yong-Bo; Ren, Shu-Nan; Ji, Da-Xiong; Zheng, Sui-Wu, Underwater image matching by incorporating structural constraints, International Journal of Advanced Robotic Systems, 14 (6), 2017

20. Shuguang Ding, Xuanyang Xi, Zhi-Yong Liu*, Hong Qiao and Bo Zhang, A Novel Manifold Regularized Online Semi-Supervised Learning Algorithm, Cognitive Computation, 10(1): 49-61, 2018 (IF: 3.479)

21. Xu Yang, Hong Qiao, and Zhi-Yong Liu*, “An Algorithm for Finding The Most Similar Given Sized Subgraphs in Two Weighted Graphs”, IEEE Trans. Neural Networks and Learning System, DOI: 10.1109/TNNLS.2017.2712794, 2017 (IF: 6.108)

22. Xu Yang and Zhi-Yong Liu*, “Adaptive Graph Matching”, IEEE Trans. Cybernetics, DOI: 10.1109/TCYB.2017.2697968, 2017 (IF: 7.384)

23. Xu Yang, Zhi-Yong Liu, and Hong Qiao, Incorporating Discrete Constraints Into Random Walk-Based Graph Matching, IEEE Trans. Systems, Man, and Cybernetics: Systems, DOI: 10.1109/TSMC.2017.2693029, 2017 (IF: 2.350)

24. Xu Yang, Zhi-Yong Liu*, Hong Qiao and Jianhua-Su, “Probabilistic Hypergraph Matching Based on Affinity Tensor Updating”, Neurocomputing, Vol. 29, pp. 142-147, 2017 (IF: 3.317)

25. Xu Yang, Hong Qiao, and Zhi-Yong Liu*, “Point Correspondence By A New Third Order Graph Matching Algorithm”, Pattern Recognition, 65：108-188,2017 (IF: 4.582)

26. Chuan Li, Zhi-Yong Liu*, Xu Yang, Jianhua-Su, and Hong Qiao, “Stitching Contaminated Image”, Neurocomputing, 214: 829-836, 2016, (IF: 3.317)

27. Xu Yang, Hong Qiao, and Zhi-Yong Liu* (2014), “Partial Correspondence based on Subgraph Matching”, Neurocomputing, Vol. 122, No. 25, 2014, (IF: 3.317)

28. Xu Yang, Hong Qiao, and Zhi-Yong Liu* (2015), “Feature Correspondence Based on Directed Structural Model Matching “, Image and Vision Computing, Vol. 33, pp. 57-67 (IF: 2.671)

29. Xu Yang, Hong Qiao, and Zhi-Yong Liu* (2014), “Outlier Robust Point Correspondence Based on GNCCP “, Pattern Recognition Letters, Vol. 55, pp. 8-14 (IF: 2.528)

30. Hong Qiao, Chuan Li, Peijie Yin, Wei Wu, Zhi-Yong Liu (2016), Human-inspired motion model of upper-limb with fast response and learning ability – a promising direction for robot system and control, Assembly Automation, Vol. 36, No.1, pp. 97-107 (IF: 1.367)

31. Yu-Ren Zhang, Xu Yang, Hong Qiao and Zhi-Yong Liu, Introducing Locally Affine-invariance Constraints into Lunar Surface Image Correspondence, Neurocomputing, 186:258-270, 2016, (IF: 3.317)

32. 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 (IF: 1.938)

33. Bin Li, Steven C.H. Hoi, Doyen Sahoo and Zhi-Yong Liu (2016), Moving Average Reversion Strategy for On-Line Portfolio Selection, Artificial Intelligence, Vol. 22, pp. 104-123 (IF: 4.797)

34. Steven C.H. Hoi, Jing Lu, Jialei Wang, Peilin Zhao and Zhi-Yong Liu (2015), Large Scale Online Kernel Learning, Journal of Machine Learning Research, 17(47):1−43 (IF: 2.228)

35. Wu, Pengcheng, Hoi, Steven C.H., Zhao, Peilin, Miao, Chunyan, and Liu, Zhi-Yong (2015), Online Multi-modal Distance Metric Learning with Application to Image Retrieval, IEEE Transactions on Knowledge and Data Engineering, Vol. 28, No. 2, pp. 454 -467 (IF: 3.438)

36. 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 (IF: 3.317)

37. Jian-Hua Su, Hong Qiao, Zhi-Cai Ou, and Zhi-Yong Liu,” Vision-based Caging Grasps of Polyhedron like Workpieces with a Binary Industrial Gripper”, IEEE Transactions on Automation Science and Engineering, 12 (3) :1033-1046, 2015, (IF: 3.502)

38. Jianhua Su, Zhi-Yong Liu, Hong Qiao, and ChuanKai Liu, “Pose-estimation and reorientation of pistons for robotic bin-picking”, Industrial Robot: An International Journal, Vol. 43, No. 1, pp. 22-32, 2016 (IF: 0.863)

39. Jianhua Su, Bin Chen, Hong Qiao, Zhi-Yong Liu, Caging a Novel Object using Multi-task Learning Method, Neurocomputing, https://doi.org/10.1016/j.neucom.2019.03.063, 2019

40. Jing Yang, Xu Yang, Zhang-Bing Zhou, Zhi-Yong Liu, Sub-hypergraph matching based on adjacency tensor, Computer Vision and Image Understanding, https://doi.org/10.1016/j.cviu.2019.03.003, 2019

科研活动

科研项目

（ 1 ）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
（ 2 ）双色网络的数学建模与数学、物理学、生物学含义分析, 参与, 国家级, 2009-01--2013-12
（ 3 ）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
（ 4 ）智能机器人关键技术研发, 主持, 国家级, 2016-01--2018-01
（ 5 ）面向工业机器人的三维视觉感知与引导关键技术, 主持, 国家级, 2017-01--2020-12
（ 6 ）面向“神经机制-类脑计算模型”研究的综合智能实验系统研制, 参与, 国家级, 2017-01--2021-12
（ 7 ）机器人知识和技能获取与增长的人工智能和机器学习理论与方法, 主持, 国家级, 2017-12--2020-11
（ 8 ）类脑机器人自主学习, 主持, 部委级, 2018-01--2022-12

参与会议

（1）机器人三维视觉感知与结构自主学习   第二届机器人教育高峰论坛   2018-11-11
（2）机器人结构视觉和自主学习   首届机器人教育高峰论坛   2017-12-10
（3）GNCCP: A very-easy-to-use assignment/matching algorithmic framework   2017-08-15

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

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

现指导学生

张丰一博士研究生 081104-模式识别与智能系统

熊方舟博士研究生 081104-模式识别与智能系统

冯航涛硕士研究生 081101-控制理论与控制工程

吴亮东博士研究生 081203-计算机应用技术

张璐博士研究生 081104-模式识别与智能系统