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,IEEE Senior Member。发表国际期刊与会议论文90余篇,包括IEEE TPAMI, IJCV, SIAM SIIMS, IEEE Trans, 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。2021年入选中科院青促会。


研究领域:机器人视觉、具身智能、视觉导航与操作

招生信息

招收自动化类、计算机类、人工智能类专业的硕士生/实习生,欢迎感兴趣的同学邮件联系(xu.yang@ia.ac.cn),期待更多优秀的同学加入,一起在科研道路上探索!

招生要求

l  招生要求:希望有良好的数学基础、编程能力和英语能力,自主学习能力强。课题组会充分尊重学生想法与发展规划,提供所需资源和帮助,为学生成长成才提供有力支持。

l  指导风格:课题组会组织风格自由、学术氛围浓厚的讨论会,分享阅读论文,不强制要求分享频率和方向内容,希望能够在自由的学术氛围中碰撞思想。对于没有科研经验的学生,会提供文献阅读、实验开展到论文写作的详细指导;对于科研经历丰富的学生,充分尊重学生想法,鼓励学生独立探索,并积极提供所需要的帮助。在遇到疑难或需要讨论的问题,一对一讨论与指导

l  联合指导:课题组与自动化所内及其他院校老师合作紧密,能够提供联合指导机会。如果同时对其他老师的研究方向感兴趣,可以帮忙寻找合作机会

l  工作实习:与企业有多次项目合作经历,可以推荐学生进行实习与工作

l  资源充足:课题组资源充足,可以根据学生科研需要提供有力支持,如计算资源、学术交流机会等。

l  课题组氛围:课题组团结友爱,互帮互助,师兄师姐能够为新同学在科研、学习、生活等方面提供帮助和建议,帮助新同学融入课题组大家庭并适应研究生生活。同时,课题组也会组织一系列活动帮助大家放松身心。

招生方向

l  具身智能

l  机器人视觉

l  模式分析与认知计算

教育背景与工作经历

l  2005 – 2009:中国海洋大学,工学学士

l  2009 – 2014:中国科学院自动化研究所,博士

l  2014 – 2017:中国科学院自动化研究所,助理研究员

l  2017 – 现在: 中国科学院自动化研究所,副研究员、硕士生导师

出版信息

近五年期刊论文:

1.      Zhenchen Li#, Xu Yang#, Jiazheng Liu#, Bei Hong, Yanchao Zhang, Hao Zhai, Lijun Shen, Xi Chen, Zhiyong Liu, and Hua Han, DeepMulticut: Deep Learning of Multicut Problem for Neuron Segmentation from Electron Microscopy Volume, IEEE Transactions on Pattern Analysis and Machine Intelligence (IF=24.314), accepted, 2024, Q1

2.      Hao Zhou, Lu Qi, Hai Huang, Xu Yang*, Jing Yang. Spatio-Temporal Feature Enhancement Network for Blur Robust Underwater Object Detection. IEEE Transactions on Cognitive and Developmental Systems, accepted, 2024

3.      Hai Huang, Tao Jiang, Zongyu Zhang, Yize Sun, Hongde Qin, Xinyang Li, Xu Yang, Learning strategies for underwater robot autonomous manipulation control, Journal of the Franklin Institute, 361(7): 106773, 2024

4.      Hangtao Feng, Lu Zhang, Xu Yang, and Zhiyong Liu, Enhancing Class-incremental Object Detection in Remote Sensing Through Instance-aware Distillation, Neurocomputing, accepted, 2024

5.      Lu Zhang, Lu Qi, Xu Yang, Hong Qiao, Ming-Hsuan Yang, Zhi-Yong Liu. Automatically Discovering Novel Visual Categories with Self-supervised Prototype Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 46(4): 2533-2544, 2024

6.      Hang-Tao Feng, Lu Zhang, Si-Qi Zhang, Dong Wang, Xu Yang, and Zhi-Yong Liu, RTDOD: A Large-scale RGB-Thermal Domain-incremental Object Detection Dataset for UAVs, Image and Vision Computing, 140: 104856, 2023

7.      Xu Yang, Shao-Feng Zeng, and Zhi-Yong Liu, Outlier Robust Feature Correspondence by Learning Based Matching Process, Journal of Systems Science and Complexity, Accepted, 2024, Q1

8.      Hao Zhou, Xu Yang, Dong-Chun Ren, Hai Huang, and Ming-Yu Fan, CSIR: Cascaded Sliding CVAEs with lterative Socially-Aware Rethinking for Trajectory Prediction, IEEE Transactions on Intelligent Transportation Systems, 24(12): 14957-14969, 2023

9.      Lu Zhang, Xu Yang, Lu Qi, Shao-Feng Zeng, Zhi-Yong Liu, Incremental Few-Shot Object Detection with scale- and centerness-aware weight generation, Computer Vision and Image Understanding, 235: 103774, 2023

10.   Hao Zhou, Xu Yang, Ming-Yu Fan, Hai Huang, Dong-Chun Ren, Hua-Xia Xia, Hierarchical Static-dynamic Global Graph Representation for Pedestrian Trajectory Prediction, Knowledge-Based Systems, 277: 110775, 2023

11.   Xiao-Feng Wu, Xin-Yue Han, Zong-Yu Zhang, Han Wu, Xu Yang*, Hai Huang, A Hybrid Excitation Model based Lightweight Siamese Network for Underwater Vehicle Object Tracking Missions, Journal of Marine Science and Engineering, 11(6):1127, 2023

12.   Hao Zhou, Dong-Chun Ren, Xu Yang, Ming-Yu Fan, and Hai Huang. CSR: Cascade Conditional Variational AutoEncoder with Social-aware Regression for Pedestrian Trajectory Prediction, Pattern Recognition, 133: 109030, 2023

13.   Hao Zhou, Chao-Yu Sun, Hai Huang, Ming-Yu Fan, Xu Yang, and Lin-Xiao Zhou. Feature-Guided Attention Network for Medical Image Segmentation, Medical Physics, 50(8):4871-4886, 2023

14.   冯航涛,曾少锋,张璐,杨旭,刘智勇。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,40(5): 701-7092023

15.   Yan-Feng Lv, Xu Yang*, Yi Li, Qian Yu, Zhi-Yong Liu, and Hong QiaoA Novel Biologically-inspired Structural Model for Feature Correspondence, IEEE Transactions on Cognitive and Developmental Systems, 15(2): 844-854, 2023

16.   Lu Zhang, Zhi-Yong Liu, Xiang-Yu Zhu, Zhan Song, Xu Yang, Zhen Lei, and Hong Qiao, Weakly Aligned Feature Fusion for Multimodal Object Detection, IEEE Transactions on Neural Networks and Learning Systems (IF=11.683), Accepted, 2022

17.   Jian-Hua Su, Yan Meng, Li-Li Wang and Xu Yang, Learning to Assemble Non-Cylindrical Parts Using Trajectory Learning and Force Tracking, IEEE/ASME Transactions on Mechatronics, 27(5): 3132-3143, 2022

18.   Hao Zhou, Lu Qi, Hai Huang, Xu Yang*, Zhao-Liang Wan, and Xiang-Long Wen, CANet: Co-attention Network for RGB-D Semantic Segmentation, Pattern Recognition, 124: 108468, 2022

19.   Hang-Tao Feng, Lu Zhang, Xu Yang, and Zhi-Yong Liu, Incremental Few-shot Object Detection via Knowledge Transfer, Pattern Recognition Letter, 156: 67-73, 2022

20.   Jing YangXu Yang*Zhang-Bing Zhouand Zhi-Yong Liu, Graph Matching Based on Fast Normalized Cut and Multiplicative Update Mapping, Pattern Recognition, 122: 108228, 2022

21.   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

22.   Xu Yang and Zhi-Yong Liu, A Doubly Graduated Method for Inference in Markov Random Field, SIAM Journal on Imaging Sciences (SIIMS), 14(3): 1354-1373, 2021

23.   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, 445: 298-308, 2021

24.   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, 39(10): 1791-1805, 2021

25.   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), 13: 394–402, 2021

26.   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

27.   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

28.   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

29.   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

30.   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

31.   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

32.   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

33.   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

34.   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

35.   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

36.   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

37.   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


科研项目

1.    基于跨空间多模多轨迹融合匹配的目标关联, 先导专项开放课题(自主进化智能),2023.01-2023.06,在研

2.    中科院青促会会员人才计划,2022.01-2025.12,项目负责人,在研

3.    多程语义目标匹配技术研究,搜狗公司,20213-20216月,项目负责人,结题

4.    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(基于数字孪生的室内服务机器人自主学习与进化关键技术)2020.11-2023.10,子课题负责人,在研

5.    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,2020年开始,项目负责人,在研

6.    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(第二年组织,每年5项,人工智能领域当年唯一1项),2020.8-2022.8,项目负责人,在研

7.    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,2020.01-2023.12,项目负责人,在研

8.    *认知发育学习,*项目(涉密),2019.08-2021.12,课题组副组长,在研

9.    水下生物复杂生存环境的视觉感知,国家基金委重点项目(水下机器人自主环境感知与生物目标无损抓取研究)独立课题,2017.01-2021.12,课题负责人,在研

10. 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(全海深自主遥控潜水器(ARV)研制与海试)子课题,2016.07-2020.12,子课题负责人,在研

11. 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,2020.01-2023.12,课题负责人,在研

12. 面向机器人自主环境感知与引导任务的视觉发育学习方法研究,国家重点研发计划子课题,子课题负责人,在研

13. 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, 2017.01-2020.12,主要完成人,结题

14. 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,2016.01-2018.12,项目负责人,结题


学术兼职

l  2019年起担任中国科协项目评审入库专家(第五批)

l  2019担任中关村颠覆性技术创新项目专员

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

l  SCI国际期刊Neurocomputing客座编委(Guest Editor

l  ICDL 2021 Tutorials and Workshops Chair

l  ICONIP 2020, ICONIP 2018, WCICA 2016 Session Chair

l  IJCAI, CoRL, ICONIP等程序委员会委员(PC

l  VALSE 执行领域主席委员会委员(EAC

l  VALSE学生委员会委员(VSC)

l  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

l  中国计算机学会智能机器人专业组委员