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张兆翔

             电子邮件:zhaoxiang.zhang@ia.ac.cn
             联系电话:010-82544750
             通信地址:北京市海淀区中关村东路95号智能化大厦1604
             邮政编码:100190
             个人主页:http://cripac.ia.ac.cn/CN/column/item158.shtml
       

个人简介

       张兆翔,中国科学院自动化研究所研究员、博士生导师。2004年在中国科学技术大学获电子科学与技术系学士学位,2009年在中国科学院自动化研究所获模式识别与智能系统专业博士学位。2009年-2015年在北京航空航天大学计算机学院先后任讲师、副教授、计算机应用技术系副主任,2011年6-10月在英国伦敦大学玛丽皇后学院任访问学者,2014年9-2015年2月在微软亚洲研究院视觉计算研究组任访问研究员,2018年1-6月在麻省理工学院任访问学者。2013年入选教育部新世纪优秀人才支持计划,2013年入选北京市青年英才支持计划,2014年入选微软青年学者铸星计划。担任AAAI、IJCAI、NIPS、ICPR等多个国际会议的Area Chair、Senior PC或者PC,SCI期刊《Neurocomputing》编委,《IEEE Access》编委,《Pattern Recognition Letters》客座编委、《Frontiers of Computer Science》青年编委和TPAMI、TIP、TCSVT、PR等20余个本领域主流期刊的审稿人。担任中国人工智能学会模式识别专委会副秘书长和中国图像图形学学会会员发展与服务委员会副主任。主要研究方向是生物启发的视觉计算、自主学习理论与方法、自主进化智能与视觉场景理解。主持国家自然科学基金3项,国家重点研发计划1项,北京市重点项目1项。在国际期刊和会议发表学术论文140余篇,专著1部,申请发明专利10项。

研究领域

模式识别、计算机视觉、机器学习、生物启发的视觉计算、自主学习、自主进化智能

所获奖励


(1)微软青年学者铸星计划,2014
(2)教育部新世纪优秀人才支持计划,2013
(3)北京市青年英才计划,2013

学术任职

IEEE Senior Member, 2015-
中国计算机学会高级会员,2016-
Associate Editor, Journal of NeuroComputing, 2015-
Associate Editor, Journal of IEEE Access, 2015-
Youth Associate Editor, Journal of Frontiers of Computer Science, 2013-
Guest Editor, Pattern Recognition Letters, 2017-
中国人工智能学会模式识别专委会副秘书长,2016-
中国图象图形学学会理事,2018-
中国图象图形学学会会员发展与服务委员会副主任,2016-
中国电子学会青年科学家俱乐部成员,2016-
中国计算机学会计算机视觉专委会,委员,2013-
中国计算机学会模式识别与人工智能专委会,委员,2015-
中国计算机学会多媒体专委会,委员,2015-

代表性著作


部分期刊论文
1. Zhaoxiang Zhang, Jiaxin Chen, Qiang Wu, Ling Shao, GII Representation-Based Cross-View Gait Recognition by Discriminative Projection With List-Wise Constraints, IEEE Transactions on Cybernetics, 2017, 1-13
2. Zhaoxiang Zhang, Yuhang Zhao, Yunhong Wang, Jianyun Liu, Zhenjun Yao, Jun Tang, Transferring Training Instances for Convenient Cross-View Object Classification in Surveillance, IEEE Transactions on Information Forensics and Security, 2013, 8(10): 1632-1641
3. Zhaoxiang Zhang, Kaiqi Huang, Yunhong Wang, Min Li, View independent object classification by exploring scene consistency information for traffic scene surveillance, Neurocomputing, 2013, 99: 250-260
4. Zhaoxiang Zhang, Tieniu Tan, Kaiqi Huang, Yunhong Wang, Practical Camera Calibration From Moving Objects for Traffic Scene Surveillance, IEEE Transactions on Circuits and Systems for Video Technology, 2013, 23(3): 518-533
5. Zhaoxiang Zhang, Tieniu Tan, Kaiqi Huang, Yunhong Wang, Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles, IEEE Transactions on Image Processing, 2012, 21(1): 1-13
6. Wangli Hao, Junsong Fan, Zhaoxiang Zhang; Guibo Zhu; End-to-End Lifelong Learning: a Framework to Achieve Plasticities of both the Feature and Classifier Constructions, Cognitive computation, 2017, 1-13
7. Ke Chen, Zhaoxiang Zhang, A Primal Neural Network for Online Equality-Constrained Quadratic Programming, Cognitive Computation, 2017, 1-8
8. Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Qi Tian, Longin Jan Latecki, GIFT: Towards Scalable 3D Shape Retrieval. IEEE Transactions on Multimedia, 2017, 19(6): 1257-1271
9. Ke Chen, Zhaoxiang Zhang, Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment, IEEE Transactions on Big Data, 2017, 3(1): 37-43
10. Ke Chen, Zhaoxiang Zhang, Pedestrian Counting With Back-Propagated Information and Target Drift Remedy, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2017, 47(4): 639-647
11. Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, Ling Shao, Compressive Sequential Learning for Action Similarity Labeling, IEEE Transactions on Image Processing, 2016, 25(2): 756-769
12. Jiaxin Chen, Zhaoxiang Zhang, Yunhong Wang, Relevance Metric Learning for Person Re-Identification by Exploiting Listwise Similarities, IEEE Transactions on Image Processing, 2015, 24(12): 4741-4755
13. Peijiang Liu, Yunhong Wang, Di Huang, Zhaoxiang Zhang, Liming Chen, Learning the Spherical Harmonic Features for 3-D Face Recognition, IEEE Transactions on Image Processing, 2013, 22(3): 914-925
14. Maodi Hu, Yunhong Wang, Zhaoxiang Zhang, De Zhang, Little, James J, Incremental Learning for Video-Based Gait Recognition With LBP Flow, IEEE Transactions on Cybernetics, 2013, 43(1): 77-89
15. Yunhong Wang, Zhaoxiang Zhang, Weixin Li, Fangyuan Jiang, Combining Tensor Space Analysis and Active Appearance Models for Aging Effect Simulation on Face Images, IEEE Transactions on Systems, Man, and Cybernetics -Part B: Cybernetics, 2012, 42(4): 1107-1118
16. Maodi Hu, Yunhong Wang, Zhaoxiang Zhang, De Zhang, Gait-Based Gender Classification Using Mixed Conditional Random Field, IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics, 2011, 41(5): 1429-1439
17. Ke Chen, Kui Jia, Zhaoxiang Zhang, Joni-Kristian Kämäräinen, Spectral attribute learning for visual regression, Pattern Recognition, 2017, 66: 74-81

部分会议论文
1. Zhaoxiang Zhang, Min Li, Kaiqi Huang, Tieniu Tan, Practical camera auto-calibration based on object appearance and motion for traffic scene visual surveillance, 2008 IEEE Compter Society Conference on Computer Vision and Pattern Recognition, CVPR 2008, USA, 2008.6.23-2008.6.28
2. Zhaoxiang Zhang, Weishan Dong, Kaiqi Huang, Tieniu Tan, Eda approach for model based localization and recognition of vehicles, 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2007, USA, 2007.6.17-2007.6.22
3. Wangli Hao, Zhaoxiang Zhang, He Guan, Integrating both Visual and Audio Cues for Enhanced Video Caption, The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI 2018, USA, February 2-7, 2018
4. Wangli Hao, Zhaoxiang Zhang, He Guan, CMCGAN: A Uniform Framework for Cross-Modal Visual-Audio Mutual Generation, The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI 2018, USA, February 2-7, 2018
5. Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang, DarkRank: Accelerating Deep Metric Learning via Cross Sample Similarities Transfer; The Thirty-Second AAAI Conference on Artificial Intelligence, AAAI 2018, USA, February 2-7, 2018
6. Yuchun Fang, Zhengyan Ma, Zhaoxiang Zhang, Xu-Yao Zhang, Xiang Bai, Dynamic Multi-Task Learning with Convolutional Neural Network, The International Joint Conference on Artificial Intelligence, IJCAI 2017, Australia, August 19-25, 2017
7. Guibo Zhu, Zhaoxiang Zhang, Xu-Yao Zhang, Cheng-Lin Liu, Diverse Neuron Type Selection for Convolutional Neural Networks, The International Joint Conference on Artificial Intelligence, IJCAI 2017, Australia, August 19-25, 2017, 3560-3566
8. Gangming Zhao, Jingdong Wang, Zhaoxiang Zhang, Random Shifting for CNN: a Solution to Reduce Information Loss in Down-Sampling Layers, The International Joint Conference on Artificial Intelligence, IJCAI 2017, Australia, August 19-25, 2017, 3476-3482
9. Song Bai, Shaoyan Sun, Xiang Bai, Zhaoxiang Zhang, Qi Tian, Smooth Neighborhood Structure Mining on Multiple Affinity Graphs with Applications to Context-Sensitive Similarity, The 14th European Conference on Computer Vision, ECCV 2016, Amsterdam, The Netherlands, October 11-14, 2016
10. Song Bai, Xiang Bai, Zhichao Zhou, Zhaoxiang Zhang, Longin Jan Latecki, GIFT: A Real-Time and Scalable 3D Shape Search Engine, IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2016, Las Vegas, NV, USA, 27-30 June 2016
11. Ke Chen, Joni-Kristian Kämäräinen, Zhaoxiang Zhang, Facial Age Estimation Using Robust Label Distribution, The 2016 ACM Conference on Multimedia Conference, Amsterdam, The Netherlands, October 15-19, 2016

部分著作
1. Cheng-Lin Liu, Amir Hussain, Bin Luo, Kay Chen Tan, Yi Zeng, Zhaoxiang Zhang, Advances in Brain Inspired Cognitive Systems - 8th International Conference, BICS 2016, Beijing, China, November 28-30, 2016, Proceedings. Lecture Notes in Computer Science 10023, 2016, ISBN 978-3-319-49684-9

 
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