
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
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
教育背景
学历
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
社会兼职
教授课程
专利与奖励
专利成果
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
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指导学生
已指导学生
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