基本信息
杨旭  男  硕导  中国科学院自动化研究所
电子邮件: xu.yang@ia.ac.cn
通信地址: 北京市海淀区中关村东路95号
邮政编码:

简历与研究领域

简历:自2017年起担任中国科学院自动化研究所复杂系统管理与控制国家重点实验室副研究员,于2014-2017年间担任助理研究员。在此之前,于2014年获得中国科学院自动化研究所博士学位,于2009年获得中国海洋大学自动化系工学学士学位。发表国际期刊与会议论文60余篇,其中以第一作者发表SCI国际期刊论文10余篇,包括IEEE TPAMI、IJCV、IEEE T-CYB、TNNLS, T-SMC: Systems, Pattern Recognition等人工智能与机器人领域的顶级与权威期刊。申请专利20余项。承担或参加国家自然科学基金委、科技部等部门项目(课题)10余项。2020年获自动化学会自然科学一等奖。2015年获北京市科学技术奖二等奖。国家自然科学基金委主办的水下机器人目标抓取大赛2017年获得自主抓取组第1,2018年获得目标识别组第1。入选2020年度中国科学院脑科学与智能技术卓越创新中心青年人才。


研究领域:计算机/机器人视觉、视觉感-认知发育、模式分析、图算法

招生信息

招生方向与类型:计算机/机器人视觉、视觉感-认知发育、模式分析领域硕士研究生/优秀实习生

招生要求:数学基础(矩阵论、概率论、最优化等)、编程能力(Python、C、Matlab)、独立意识;





招生专业
081104-模式识别与智能系统

出版信息

Selected Journal Paper List:

1.       Lu Zhang, Zhi-Yong Liu, Xiang-Yu Zhu, Zhan Song, Xu Yang, Zhen Lei, and Hong Qiao, Weakly Aligned Cross-Modal Learning for Robust Object Detection, IEEE Trans. Neural Networks and Learning Systems (IF=11.683), Conditionally accepted, 2021

2.       Xu Yang and Zhi-Yong Liu, A Doubly Graduated Method for Inference in Markov Random Field, SIAM Journal on Imaging Sciences (SIIMS), Accepted, 2021

3.       Hao Zhou, Dong-Chun Ren, Hua-Xia Xia, Ming-Yu Fan, Xu Yang*, and Hai Huang, AST-GNN: An Attention-based Spatio-temporal Graph Neural Network for Interaction-aware Pedestrian Trajectory Prediction, Neurocomputing, Accepted, 2021

4.       Chao-Yu Sun, Zhao-Liang Wan, Hai Huang, Guo-Cheng Zhang, Xuan Bao, Ji-Yong Li, Ming-Wei Sheng, and Xu Yang, Intelligent Target Visual Tracking and Control Strategy for Open Frame Underwater Vehicles, Robotica, Published online, 2021

5.       Shao-Feng Zeng, Zhi-Yong Liu, and Xu Yang, Supervised Learning for Parameterized Koopmans-Beckmann’s Graph Matching, Pattern Recognition Letters (IF= 3.255), 143:8-13, 2021

6.       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 (IF=17.730), 42(8): 1809-1822, 2020

7.       Xu Yang, Zhi-Yong Liu, and Hong Qiao. Incorporating Discrete Constraints into Random Walk-Based Graph Matching. IEEE Transactions on Systems, Man, and Cybernetics: Systems (IF=7.351), 50(4): 1406-1416, 2020

8.       Xu Yang, Zhi-Yong Liu, Hong Qiao, Jian-Hua Su, Da-Xiong Ji, Ai-Yun Zang, and Hai Huang. Graph Based Registration and Blending for Undersea Image Stitching. Robotica (IF=1.554), 38(3): 396-409, 2020

9.       Fang-Zhou Xiong, Zhi-Yong Liu, Kai-Zhu Huang, Xu Yang, and Hong Qiao, State Primitives Learning to Overcome Catastrophic Forgetting in Robotics, Cognitive Computation (IF=4.287), accepted, 2020

10.   Fang-Zhou Xiong, Zhi-Yong Liu, Kai-Zhu 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 (IF: 5.785), 129(163-173), 2020

11.   Jing Yang, Xu Yang*, Zhang-Bing Zhou, and Zhi-Yong Liu, Sub-hypergraph matching based on adjacency tensor, Computer Vision and Image Understanding (IF=2.391), 183:1-10, 2019

12.   Hai Huang, Hao Zhou, Xu Yang*, Lu Zhang, Lu Qi, Ai-Yun Zang, Faster R-CNN for Marine Organism Detection and Recognition Using Data Augmentation, Neurocomputing (IF=3.241), 337: 372-384, 2019

13.   刘传凯,王泰杰,董卫华,苏建华,孙军,杨旭,王晓雪,郭祥艳,袁春强,万文辉,刘召芹。玉兔2号月球车大间距导航成像的空间分辨率建模分析。中国科学:技术科学,49(11)1275-12852019

14.   Fang-Zhou Xiong, Biao Sun, Xu Yang, Hong Qiao, Kai-Zhu Huang, Amir Hussain,  Zhi-Yong Liu. Guided Policy Search for Sequential Multitask Learning, IEEE Transactions on Systems, Man, and Cybernetics: Systems (IF=5.135), 49(1): 216-226, 2019

15.   Lu Zhang, Zhi-Yong Liu, Shi-Feng Zhang, Xu Yang, Hong Qiao, Kai-Zhu Huang, and Amir Hussain,  Cross-Modality Interactive Attention Network for Multispectral Pedestrian Detection, Information Fusion (IF=6.639), 50: 20-29, 2019

16.   Jian-Hua Su, Bin Chen, Chuan-Kai Liu, Xu Yang, Zhi-Yong Liu, and Hong Qiao, Integrated Thermal Assembly using Hierarchical Kernel Regression Method, Advanced Robotics, 33(22): 1194-1208, 2019

17.   Zhi-Yong Liu, Kai-Zhu Huang, Xu Yang, and Cheng-Lin Liu. Editorial of special issue on advances in graph algorithm and applications. Neurocomputing, 336: 1-2, 2019

18.   Xu Yang, Zhi-Yong Liu, and Hong Qiao. An Algorithm for Finding the Most Similar Given Sized Subgraphs in Two Weighted Graphs. IEEE Transactions on Neural Networks and Learning Systems (IF=11.683), 29(7): 3295-3300, 2018

19.   Xu Yang and Zhi-Yong Liu. Adaptive Graph Matching. IEEE Transactions on Cybernetics (IF=10.387), 48(5): 1432 – 1445, 2018

20.   Da-Xiong Ji, Zhi Deng, Shuo Li, Dong-Fang Ma, Tao Wang, Wei Song, Shi-Qiang Zhu, Zhi-Yuan Wang, Hong-Jun Pan, Sanjay Sharma, Xu Yang, A Novel Case of Practical Exponential Observer Using Extended Kalman Filter, IEEE Access (IF=3.557), 6: 58004-58011, 2018

21.   Ji-Yong Li, Hao Zhou, Hai Huang, Xu Yang, Zhao-Liang Wan, Lei Wan, Design and Vision based Autonomous Capture of Sea Organism with Absorptive Type Remotely Operated Vehicle, IEEE Access (IF=3.557), 6: 73871-73884, 2018

22.   Xu Yang, Hong Qiao, and Zhi-Yong Liu. Point Correspondence By A New Third Order Graph Matching Algorithm. Pattern Recognition (IF=5.898), 65: 108-118, 2017

23.   Xu Yang, Zhi-Yong Liu, Jian-Hua Su, and Hong Qiao, Probabilistic Hypergraph Matching Based on Affinity Tensor Updating. Neurocomputing (IF=3.241), 269: 142-147, 2017

24.   Xu Yang, Zhi-Yong Liu, Hong Qiao, Yong-Bo Song, Shu-Nan Ren, and Sui-Wu Zheng, Underwater Image Matching by Incorporating Structural Constraints, International Journal of Advanced Robotic Systems (IF=0.952), 14(6): 1-10, 2017

25.   Zhi-Yong Liu, Jing-Jing Wang, Xu Yang, and Shi-Hao Feng, LibCoopt: A Library for Combinatorial Optimization on Partial Permutation Matrices, Neurocomputing (IF=3.241), 237: 414-417, 2017.

26.   Yu-Ren Zhang, Xu Yang*, Hong Qiao and Zhi-Yong Liu. Introducing Locally Affine-invariance Constraints into Lunar Surface Image Correspondence, Neurocomputing (IF=3.241), 186: 258–270, 2016

27.   Chuan Li, Zhi-Yong Liu, Xu Yang, Hong Qiao, Jian-Hua Su, Stitching Contaminated Images. Neurocomputing (IF=3.241), 214: 829-836, 2016.

28.   Xu Yang, Hong Qiao, and Zhi-Yong Liu. Feature Correspondence Based on Directed Structural Model Matching. Image and Vision Computing (IF=2.159), 33: 57–67, 2015

29.   Xu Yang, Hong Qiao, and Zhi-Yong Liu. Outlier Robust Point Correspondence Based on GNCCP. Pattern Recognition Letter (IF= 3.255), 55:8-14, 2015

30.   Zhi-Yong Liu, Hong Qiao, Xu Yang, Steven C.H. Hoi. Graph Matching by Simplified Convex-Concave Relaxation Procedure. International Journal of Computer Vision (IJCV) (IF=11.541), 109(3): 169-186, 2014.

31.   Xu Yang, Hong Qiao, and Zhi-Yong Liu. Partial Correspondence Based on Subgraph Matching. Neurocomputing (IF=3.241), 122(25): 193-197, 2013


科研项目

1. 面向服务机器人感知发育任务的虚实融合方法研究,科技创新2030-新一代人工智能重大项目,子课题负责人,在研

2. 面向无人系统自主作业的视觉认知发育方法研究,美团北斗科研计划,项目负责人,在研

3. 无人系统认知发育技术的应用与验证,北京市科委,京港合作专项重点项目,项目负责人,在研

4.  组合图优化方法及其在视觉问题中的应用,国家基金委面上项目,项目负责人,在研

5.  *平台认知发育学习,*项目,课题组副组长(涉密),在研

6. 水下生物复杂生存环境的视觉感知,国家基金委重点项目独立课题,课题负责人,在研

7. 深渊采样目标视觉感知与视觉伺服抓取控制研究,国家重点研发计划二级独立课题,课题负责人,在研

8. 混合现实遥操作中的图像与地形跨尺度融合方法研究,国家基金委面上项目,课题负责人,在研

9. 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,国家重点研发计划课题,主要完成人,在研

10. 面向工业机器人的三维视觉感知与引导关键技术,国家基金委(深圳)联合重点项目,主要完成人,在研

11. 面向计算机视觉问题的图匹配算法研究与应用,国家基金委青年基金,结题

学术兼职

-  2019年起担任中国科协项目评审入库专家(第五批)

-  2019担任中关村颠覆性技术创新项目专员(责任专家)

-  SCI国际期刊International Journal of Advanced Robotic Systems (IJARS) 编委(Associate Editor)

-  SCI国际期刊Neurocomputing客座编委(Guest Editor)

-  ICDL 2021 Tutorials and Workshops Chair,其中 ICDL是发育学习领域最重要的国际会议

-  ICONIP 2020, ICONIP 2018, WCICA 2016 Session Chair

-  IJCAI, CoRL, ICONIP等程序委员会委员(PC)

-  VALSE 执行领域主席委员会委员(EAC)

-  VALSE学生委员会委员(VSC)

-  中国自动化学会混合智能专委会执行委员、青年工作组成员

-  中国计算机学会智能机器人专业组委员