机器人学习：面向动态开放环境中的典型任务，以强化学习为主要手段，研究机器人和无人系统持续自主学习能力

机器人（视觉）感知：二维及三维视觉感知（如目标检测、识别、跟踪和位姿检测等）、多模态融合感知

模识识别理论：图学习、结构化先验机器学习等

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（视觉）感知和机器人（策略、技能）学习研究的同学报考！

081104-模式识别与智能系统

模式分析与识别
机器人视觉
机器人自主学习

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/多模态人工智能系统全国重点实验室, 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

2022-01-01-今,中国自动化学会机器人智能专业委员会, 委员
2015-02-28-今,IEEE, 高级会员

信号与系统习题课
工业视觉检测
信号与系统
机器视觉
模式识别
机器视觉及其应用

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

[1] 刘智勇, 吴亮东. 机器人控制策略迁移方法、装置及系统. CN: CN113050433A, 2021-06-29.

[2] 刘智勇, 张璐, 杨旭, 亓鲁. 基于权重生成的增量式小样本目标检测方法及系统. CN: CN112819110A, 2021-05-18.

[3] 曾少锋, 刘智勇, 杨旭. 基于深度图嵌入网络与结构自学习的图像关键点匹配方法. CN: CN112801206A, 2021-05-14.

[4] 杨旭, 张昕悦, 刘智勇, 张璐. 基于图卷积神经网络的小样本分类模型的发育方法及系统. CN: CN112183620A, 2021-01-05.

[5] 刘智勇, 张璐, 杨旭, 陈瑀柔. 跨模态目标检测中的差异自动校准方法、系统、装置. CN: CN110334708A, 2019-10-15.

[6] 刘智勇, 王晶晶, 乔红, 杨旭, 苏建华. 一种应用于大规模非规则结构数据的图搜索方法. CN: CN105335524B, 2019-09-24.

[7] 刘智勇, 熊方舟, 张丰一, 杨旭, 乔红. 一种机械臂路径规划方法、系统及装置. CN: CN109176532A, 2019-01-11.

[8] 刘智勇, 王晶晶, 乔红, 杨旭, 苏建华. 一种应用于大规模非规则结构数据的图搜索算法. CN: CN105335524A, 2016-02-17.

[9] 刘智勇, 李川, 乔红, 杨旭. 一种移动机器人图像拼接方法及装置. CN: CN104463786A, 2015-03-25.

[10] 刘智勇, 乔红, 杨旭, 郑碎武. 一种有效的工厂设备优化布局方法. CN: CN103246940A, 2013-08-14.

国际SCI期刊论文（通讯作者*）：

1.          Lu Zhang, Xu Yang, Lu Qi, Shaofeng Zeng, Zhiyong Liu*, Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation, Computer Vision and Image Understanding, Accepted and to appear, 2023

2.          Yiming Qiao, Fengyi Zhang, Zhiyong Liu*, Policy Generation Network for Zero-Shot Policy Learning, Computational Intelligence, doi.org/10.1111/coin.12591, 2023

3.          Siqi Zhang, Lu Zhang, Zhiyong Liu*, Frequency-based Pseudo-domain Generation for Domain Generalizable Object Detection, Neurocomputing, Accepted and to appear, 2023

4.          Fengyi Zhang, Yurou Chen, Hong Qiao, and Zhiyong Liu*, SURRL: Structural Unsupervised Representations for Robot Learning, IEEE Trans. Cognitive and Developmental Systems, 15(2):819-831,2023

5.          Fengyi Zhang, Yurou Chen, and Zhiyong Liu*, Markovian Policy Network for Efficient Robot Learning, Neurocomputing, Accepted and to appear, 2022

6.          Yanfeng Lv, Xu Yang, Yi Li, Qiang Yu, Zhiyong Liu and Hong Qiao, A Novel Biologically-inspired Structural Model for Feature Correspondence, IEEE Trans. Cognitive and Developmental Systems, 15(2): 844-854,2023

7.          Qianfan Zhao, Lu Zhang, Lingwi Wu, Hong Qiao, Zhiyong Liu*, A Real 3D Embodied Dataset for Robotic Active Visual Learning, IEEE Robotics and Automation Letters, 7(3): 6646-6652, July 2022

8.          Hangtao Feng; Lu Zhang; Xu Yang; Zhiyong Liu*, Incremental Few-shot Object Detection via Knowledge Transfer, Pattern Recognition Letter, Accepted and to appear, 2022

9.          Zhang, Lu; Liu, Zhi-Yong*; Zhu, Xiangyu; Song, Zhan; Yang, Xu; Lei, Zhen; Qiao, Hong, Weakly Aligned Feature Fusion for Multimodal Object Detection, IEEE Trans. Neural Networks and Learning System, 10.1109/TNNLS.2021.3105143, Accepted and to appear, 2021

10.          Xu Yang, Zhi-Yong Liu: A Doubly Graduated Method for Inference in Markov Random Field. SIAM J. Imaging Sci. 14(3): 1354-1373, 2021

11.       Jianfei Li, Yaobing Wang, Zhiyong Liu, Xin Jing, and Chengwei Hu, “A New Recursive Composite Adaptive Controller for Robot Manipulators”, Space: Science & Technology, Vol. 2021, Article ID 9801421,7pages, https://doi.org/10.34133/2021/9801421

12.       Jing Yang, Xu Yang, Zhang-Bing Zhou, Zhi-Yong Liu, Graph Matching Based on Fast Normalized Cut and Multiplicative Update Mapping, Pattern Recognition, 122: 108228 2022

13.       Jing Yang, Xu Yang, Zhang-Bing Zhou, Zhi-Yong Liu, and Ming-Yu Fan, Graph Matching Based Point Correspondence with Alternating Direction Method of Multipliers, Neurocomputing, 462: 344-352, 2021

14.       Shaofeng Zeng ,Zhiyong Liu ,Xu Yang, Supervised learning for parameterized Koopmans-Beckmann's graph matching, Pattern Recognition Letters, 143, 8 – 13, 2021

15.       Yi-Ming Qian, Fang-Zhou Xiong, and Zhiyong Liu*, Zero-shot policy generation in lifelong reinforcement learning, Neurocomputing, 446：65-73, 2021

16.       Fangzhou Xiong, Zhiyong Liu*, Kaizhu Huang, Xu Yang and Hong Qiao, State Primitives Learning to Overcome Catastrophic Forgetting in Robotics, Cognitive Computation, 13: 394-402, 2021

17.       Fangzhou Xiong, Zhiyong Liu*, Kaizhu Huang, Xu Yang, Hong Qiao, and Amir Hussain, Encoding Primitives Generation Policy Learning for Robotic Arm to Overcome Catastrophic Forgetting in Sequential Multi-tasks Learning, Neural Networks, 129: 163 - 173, 2020 (IF：5.79)

18.       Fengyi Zhang, Zhiyong Liu*, et al., WAGNN: A Weighted Aggregation Graph Neural Network for Robot Skill Learning, Robotics and Autonomous Systems, 130:103555, 2020 (IF: 2.928)

19.       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, 42(8): 1809-1822, 2020  (IF：17.73)

20.       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: 10.72)

21.       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：7.35)

22.       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: 4.29)

23.       Xu Yang and Zhi-Yong Liu*, “Adaptive Graph Matching”, IEEE Trans. Cybernetics, 48(5): 1432-1445, 2018 (IF: 10.38)

24.       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: 4.07)

25.       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, 29(7): 3295 - 3300, 2017 (IF: 11.68)

26.       Xu Yang, Zhi-Yong Liu, and Hong Qiao, Incorporating Discrete Constraints Into Random Walk-Based Graph Matching, IEEE Trans. Systems, Man, and Cybernetics: Systems, 50(4):1406-1416, 2017 (IF：7.35)

27.       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 (IF: 1.22)

28.       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:4.07)

29.       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: 5.90)

30.       Chuan Li, Zhi-Yong Liu*, Xu Yang, Jianhua-Su, and Hong Qiao, “Stitching Contaminated Image”, Neurocomputing, 214: 829-836, 2016, (IF: 4.07)

31.       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: 2.75)

32.       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)

33.       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: 17.73)

34.       Xu Yang, Hong Qiao, and Zhi-Yong Liu* (2014), “Partial Correspondence based on Subgraph Matching”, Neurocomputing, Vol. 122, No. 25, 2014, (IF: 4.07)

35.       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: 2.81)

36.       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: 17.73)

37.       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: 5.90)

38.       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: 5.90)

39.       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: 2.26)

40.       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: 5.79)

41.       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: 4.07)

42.       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: 2.73)

43.       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: 3.27)

44.       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: 2.81)

45.       Zhi-Yong Liu and Lei Xu (2003), "Topological Local Principal Component Analysis", Neurocomputing, Vol. 55, No. 3-4, pp.739-745  (IF: 4.07)

46.       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: 1.11)

47.       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: 4.09)

48.       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: 2.06)

49.       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: 4.07)

50.       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: 2.26)

51.       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: 4.48)

52.       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: 4.09)

53.       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: 3.86)

54.       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: 4.07)

55.       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: 5.22)

56.       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: 1.19)

57.       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 (IF: 4.07)

58.       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 (IF: 2.65)

专著（章节）

59.       Zhi-Yong Liu (2014), "Ellipse Fitting", in Computer Vision: A Reference Guide, Springer, invited paper, pp. 240 - 247

60.       Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu (2003), "Independent Component Analysis: the One-Bit-Matching Conjecture and A Simplified    LPM-ICA Algorithm", in Advances in Data Mining and Modeling, Editors: Wai-Ki Chin & Michael Kwok-Po Ng, World Scientific, invited paper, pp. 116-128

中文期刊论文

61.       冯航涛，曾少锋，张璐，杨旭，刘智勇（通讯作者），基于共轴双旋翼无人机的目标检测与薄弱位置定位系统设计，中国科学院大学学报，2022

62.       刘智勇（通讯作者），“图模型匹配：一种新的凹松弛函数及算法”，自动化学报，38(5), pp. 725-731, 2012

63.       刘智勇（通讯作者），乔红，偏度在独立元分析模型中的作用分析及算法设计，中国科学.信息科学，41（8），998-1012，2011

64.       刘智勇，刘迎建，车牌识别(LPR)中的图像提取及分割，中文信息学报，14（4），29-34,2000

 

国际会议论文

65.       Siqi Zhang, Lu Zhang, Zhiyong Liu*. Refined Pseudo labeling for Source-free Domain Adaptive Object Detection, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

66.       Lu Zhang, Siqi Zhang, Xu Yang, Hong Qiao, Zhiyong Liu*, Unseen Object Instance Segmentation with Fully Test-time RGB-D Embeddings Adaptation, International Conference on Robotics and Automation (ICRA 2023), Excel London, U.K. 2023

67.       Qianfan Zhao, Lu Zhang, Bin He, Hong Qiao, Zhiyong Liu*, Zero-Shot Object Goal Visual Navigation, International Conference on Robotics and Automation (ICRA 2023), Excel London, U.K. 2023

68.       Siqi Zhang, Lu Zhang, Zhiyong Liu*, Hangtao Feng. FIT: Frequency-based Image Translation for Domain Adaptive Object Detection. 2022 29th International Conference on Neural Information Processing (ICONIP). Springer, Cham, 2022. (EI, CCF-C)

69.       Fangzhou Xiong, et al., Safety-based Reinforcement Learning Longitudinal Decision for Autonomous Driving in Crosswalk Scenarios, IJCNN 2022

70.       Liangdong Wu, Fangzhou Xiong, Zhiyong Liu*, Two-Policy Cooperative Transfer for Alleviation of Sim-To-Real Gap, IEEE Global Conference on AI & IoT (GCAIoT), Dubai, 2021

71.       Yurou Chen, Fengyi Zhang and Zhiyong Liu*, Adaptive Advantage Estimation for Actor-Critic Algorithms, Internal Joint Conference on Neural Networks (IJCNN 2021)

72.       Fengyi Zhang, Fangzhou Xiong, Zhiyong Liu*, Learning Individual Features to Decompose State Space for Robotic Skill Learning, Chinese Control and Decision Conference (CCDC 2020)

73.       Yiming Qian, Fangzhou Xiong, Zhiyong Liu*, Intra-Domain Knowledge Generalization in Cross-Domain Lifelong Reinforcement Learning, International Conference on Neural Information Processing (ICONIP 2020)

74.       Hangtao Feng, Lu Zhang, Xu Yang, Zhiyong Liu*, MixedFusion: 6D Object Pose Estimation from Decoupled RGB-Depth Features, International Conference on Pattern Recognition (ICPR 2020)

75.       Lu Zhang, Xiangyu Zhu, Xiangyu Chen, Xu Yang, Zhen Lei, and Zhiyong Liu*. Weakly Aligned Cross-Modal Learning for Multispectral Pedestrian Detection. International Conference on Computer Vision (ICCV 2019)

76.       Fangzhou Xiong, Zhiyong Liu, Kaizhu Huang, Xu Yang and Amir Hussain, ''Primitives  Generation Policy Learning without Catastrophic Forgetting for Robotic Manipulation'', IEEE  International Conference on Data Mining, ICDM 2019, Beijing, China, November 8-11, 2019

77.       Fengyi Zhang, Fangzhou Xiong, Xu Yang, and Zhiyong Liu, "Learning Transferable Policies with Improved Graph Neural Networks on Serial Robotic Structure", 26th International Conference on Neural Information Processing, ICONIP 2019, Sydney, Australia, December 12-15, 2019

78.       Lu Zhang, Xu Yang, Zhiyong Liu, Lu Qi, Hao Zhou and Charles Chiu, “Single Shot Feature Aggregation Network for Underwater Object Detection”, 24th International Conference on Pattern Recognition, ICPR 2018, Beijing, China, August 20-24, 2018

79.       Fangzhou Xiong, Zhiyong Liu and Xu Yang, "Overcoming Catastrophic Forgetting with Self-adaptive Identifiers", 25th International Conference on Neural Information Processing, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018

80.       Jing Yang, Xu Yang, Zhang-Bin Zhou, and Zhi-Yong Liu, Graph Matching based on Fast Normalized Cut, International Conference on Neural Information Processing, ICONIP 2018, Siem Reap, Cambodia, December 13-16, 2018

81.       Xu Yang, and Zhi-Yong Liu. A Continuous Method for Graph Matching Based on Continuation. International Conference on Intelligence Science and Big Data Engineering, Lanzhou, China, Aug. 18-19, 2018

82.       Sun Biao, Xiong Fangzhou, Liu Zhiyong, Yang Xu and Qiao Hong，A Linear Online Guided Policy Search Algorithm，Proceedings of ICONIP2017, 2017

83.       Fangzhou Xiong, Zhiyong Liu, Xu Yang, Biao Sun, Charles Chiu and Hong Qiao，A Bayesian Posterior Updating Algorithm in Reinforcement Learning，Proceedings of ICONIP2017, 2017

84.       Xu Yang, Zhi-Yong Liu, Chun Li, Jing-Jing Wang, and Hong Qiao, “Robust Underwater Image Stitching Based on Graph Matching”, Lecture Notes on Computer Science, Proceeding of IscIDE 2017, Dalian, 2017

85.       Shuguang Ding, Xuanyang Xi, Zhi-Yong Liu, Hong Qiao, and Bo Zhang, “A Novel Manifold Regularized Online Semi-supervised Learning Algorithm”, Lecture Notes on Computer Science, Proceedings of ICONIP2016, 2016

86.       Jianhua Su, Zhiyong Liu, Guang Yang, “Pose Estimation of Occluded Objects with an Improved Template Matching Method”, First International Workshop on Pattern Recognition, Tokyo, Japan, 13-16, May, 2016

87.       Ruren Zhang, Xu Yang, Hong Qiao, Zhiyong Liu, Chuankai Liu, and Baofeng Wang, “A Graph Matching Based Key Point Correspondence Method for Lunar Surface Image”, 12^th World Congress on Intelligent Control and Automation, WCICA 2016, pp. 1825 – 1830, Guilin, China, June 12-15, 2016

88.       Chuan Li, Zhi-Yong Liu, Xu Yang, Hong Qiao, and Chuan-Kai Liu, “a Graph Matching and Energy Minimization based Algorithm for Lunar Surface Image Mosaic”, Proceeding of CCCV 2015, Xi’an,2015

89.       Yu-Ren Zhang, Xu Yang, Hong Qiao and Zhi-Yong Liu, Introducing Authority and Hubness into Graph Matching, IEEE International Conference on Mechatronics and Automation (ICMA 2015), pp. 982-987, 2015

90.       Zhi-Yong Liu, Hong Qiao, and Jian-hua Su, "MAP Inference with MRF by Graduated Non-Convexity and Concavity Procedure." Neural Information Processing (ICONIP2014). Springer International Publishing, pp. 404-412, 2014

91.       Jialei Wang, Steven C.H. Hoi, Peilin Zhao, Jinfeng Zhuang, Zhi-Yong Liu, Large Scale Online Kernel Classification, International Joint Conference on Artificial Intelligence (IJCAI2013) 2013: (Oral presentation)

92.       Jialei Wang, Steven C.H. Hoi, Peilin Zhao, Zhi-Yong Liu, Online Multi-Task Collaborative Filtering for On-the-Fly Recommender Systems, ACMRecSys13, the 7th ACM conference on Recommender systems, 237-244, 2013 (Oral presentation)

93.       Zhi-Yong Liu, Hong Qiao, and Lei Xu, "A Weight Regularized Relaxation Based Graph Matching Algorithm", Lecture Notes in Computer Science 7202, 9-16, IScIDE 2011（Oral with single track)

94.       Zhi-Yong Liu and Hong Qiao, "Hidden Markov Model Based Intrusion Detection",Intelligence and security informatics: international workshop, WISI 2006, Lecture Notes in Computer Science, 3917, 169-170, 2006 (Poster)（SCI）

95.       Zhi-Yong Liu, Kai Chun Chiu, Lei Xu, A One-Bit-Matching Theorem Based Simplified LPM-ICA Algorithm, Proceedings of 4th Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), Nara, Japan, 621-626, 2003 (Oral)

96.       Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu, "Local subspace analysis for astronomical object detection and star/galaxy classification", Neural Networks, Proceedings of the 2002 International Joint Conference on (IJCNN2002), Honolulu, HI, USA, 962-967, 2002 (Poster)

97.       Zhi-Yong Liu, Kai Chun Chiu, and Lei Xu, Local PCA for Strip Line Detection and Thinning, Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR2003), Lecture Notes in Computer Science, 2683/2003, 21-34, 2003 (Oral with single track)(SCI)

98.       Zhi-Yong Liu, Kai Chun Chiu, Lei Xu, Theoretical Analysis of the One-Bit-of-Information Conjecture for Independent Component Analysis, 2002 International Conference on Control, Automation and Systems (ICCAS2002),Muju, Korea,1525-1529, 2002 （Oral)

99.       Zhi-Yong Liu and Lei Xu, A Comparative Study on Three MAP Factor Estimate Approaches for NFA, Intelligent Data Engineering and Automated Learning (IDEAL2002), Lecture Notes in Computer Science, 2412/2002, 285-295, Manchester, UK, 2002 (Oral)（SCI）

100.    Zhi-Yong Liu, Lei Xu, Topological local principal component analysis, Proceedings of ICONIP2002, Singapore, 1346-1350, 2002 (Oral)

101.    Zhi-Yong Liu, Lei Xu, On Convergence of an Iterative Factor Estimate Algorithm for the NFA Model. In Proceedings of ICANN2002, Madrid, Spain, 1025-1030,2002 Lecture Notes in Computer Science,2415 (Poster)(SCI)

102.    Zhi-Yong Liu, Lei Xu, RPCL-Based Local PCA Algorithm, IEEE International Conference on Data Mining (ICDM2001), San Jose, California, USA, 621-622, 2001 (Poster)

103.    Zhi-Yong Liu, Lei Xu, Smoothed Local PCA by BYY data smoothing learning, Proceedings of 2002 International Conference on Control, Automation and Systems (ICCAS2002), Jeju, Korea, 924-927, 2001（Poster)

104.    Jine Tang, Zhangbing Zhou, Zhi-Yong Liu, and Qun Wang, Novel DR-tree Index Based on the Diagonal Line of MBR,International Wireless Communications and Mobile Computing Conference (IWCMC-2012), Cyprus, 2012 (Oral)

105.    Chunshui Zhao, Zhi-Yong Liu, Hong Qiao, Face Tracking via Block Texture Feature Based Mean Shift, Natural Computation (ICNC2008), Fourth International Conference on, Jinan, China, 190-194, 2008 (Poster)

106.    Xiaoqin Zhang, Zhi-Yong Liu, and Hong Qiao, A Robust Multiple Cues Fusion based Bayesian Tracker,  Robotics and Automation, 2007 IEEE International Conference on (ICRA2007), Roma, Italy, 4614 - 4619, 2007

107.    Xiaoqin Zhang, Hong Qiao, Zhi-Yong Liu, Multi-Information Fusion for Scale Selection in Robot Tracking, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS2006), Beijing, China, 2828-2832, 2006

108.    Jinwen Ma, Zhi-Yong Liu and Lei Xu, Local Separation Property of the Two-Source ICA Problem with the One-Bit-Matching Condition, Intelligent Data Engineering and Automated Learning (IDEAL2004),Lecture Notes in Computer Science, 3177/2004, 684-689, 2004 (Poster)(SCI)

109.    Kai Chun Chiu, Zhi-Yong Liu and Lei Xu, A Statistical Approach to Testing Mutual Independence of ICA Recovered Sources, 4th International Symposium on Independent Component Analysis and Blind Signal Separation (ICA2003), April 2003, Nara, Japan, 751-756, 2003 (Poster)

110.    Xu Yang, Chuan-Kai Liu, Zhi-Yong Liu, Hong Qiao, Bao-Feng Wang, and Zi-Dong Wang, A Probabilistic Spectral Graph Matching Algorithm for Robust Correspondence between Lunar Surface Images, World Congress on Intelligent Control and Automation (WCICA2014)(Oral,入围最佳论文奖)

111.    Enhua Cao, Jianhua Su, Zhi-Yong Liu, Hong Qiao. Development of a New Model for the Fixture Design and Clamping Optimization, In Proceeding of the 2014 World Congress on Intelligent Control and Automation (WCICA2014) (Oral)

112.  Zhipeng Tang, Peng Wang, Hong Qiao, Zhi-Yong Liu and Jing Tao, Assembly Sequence Planning based on Graduated NonConvexity and Concavity Procedure, , In Proceeding of the 2014 World Congress on Intelligent Control and Automation(WCICA2014)(Oral)

   

（ 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, 国家任务, 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, 国家任务, 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, 负责人, 国家任务, 2014-01--2017-12
（ 4 ） 智能机器人关键技术研发, 负责人, 国家任务, 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, 负责人, 国家任务, 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, 国家任务, 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, 负责人, 国家任务, 2017-12--2020-11
（ 8 ） 机器人自主学习与智能发育, 负责人, 中国科学院计划, 2022-01--2022-12
（ 9 ） 无人平台认知发育学习, 负责人, 国家任务, 2019-07--2021-12
（ 10 ） 无人机精准视觉感知, 负责人, 企业委托, 2019-10--2020-09
（ 11 ） 事件驱动的服务机器人虚实融合自主学习与智能发育, 负责人, 国家任务, 2021-01--2023-12
（ 12 ） 空间机械臂操作技能持续自主学习, 负责人, 企业委托, 2022-01--2022-12

（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

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  

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  

张璐  博士研究生  081104-模式识别与智能系统  

现指导学生

吴亮东  博士研究生  081203-计算机应用技术  

陈瑀柔  博士研究生  081104-模式识别与智能系统  

钱一鸣  博士研究生  081203-计算机应用技术  

张思琦  博士研究生  081104-模式识别与智能系统  

冯航涛  博士研究生  081203-计算机应用技术  

李剑飞  博士研究生  081101-控制理论与控制工程  

林镇阳  博士研究生  081203-计算机应用技术  

赵千帆  博士研究生  081101-控制理论与控制工程  

姚冶  硕士研究生  085410-人工智能  

曾睿哲  博士研究生  081104-模式识别与智能系统  

李正炜  博士研究生  081203-计算机应用技术  

曹洺语  硕士研究生  085410-人工智能  

邓勇  硕士研究生  085410-人工智能  

郑振华  博士研究生  081203-计算机应用技术  

庄新宇  博士研究生  081104-模式识别与智能系统