基本信息

张一帆男硕导中国科学院自动化研究所
电子邮件： yfzhang@nlpr.ia.ac.cn
通信地址： 北京市海淀区中关村东路95号
邮政编码： 100190

个人简介：目前主要从事图像与视频分析、人体动作识别、机器学习等方面的研究。主持多项国家自然科学基金课题、中科院专项、企业委托项目。在IEEE T-PAMI、IEEE T-IP、IEEE T-CYB、IEEE T-MM等权威国际期刊和CVPR、ICCV、ECCV、IJCAI等顶级国际会议上发表论文四十余篇。现为中国计算机学会计算机视觉专委会委员，AVS国家标准工作组数字媒体内容描述组组长，IEEE1857.6标准工作组组长。中科院院长奖获得者，中科院青年创新促进会成员，中科院自动化所特聘青年骨干。
个人主页：http://www.nlpr.ia.ac.cn/iva/yfzhang/index.html

部门/实验室：模式识别国家重点实验室
研究领域




机器学习（包括深度学习、概率图模型等）
视觉内容高效分析与计算
人体行为分析、动作识别、手势识别
第一视角视觉






招生信息
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招生专业081104-模式识别与智能系统
081203-计算机应用技术

招生方向图像与视频处理
人体行为分析，动作识别，手势识别
机器学习

招生要求

专业背景不限。但希望你对科研怀有强烈的兴趣和追求卓越的精神，具备良好的数学基础、编程能力以及自主学习能力。
由于招生数量有限，希望提前与我联系。
另招收少量实习生，要求计算机相关专业的在读本科或研究生，具有较强的编程能力，实习期半年以上者优先。



教育背景2004-09--2010-01中国科学院自动化研究所博士
2000-09--2004-06东南大学自动控制系学士


工作经历


工作简历2014-10~现在,中科院自动化所模式识别国家重点实验室,副研究员
2011-05~2012-07,美国伦斯勒理工学院(RPI)电子计算机工程系,博士后
2010-06~2014-09,中科院自动化所模式识别国家重点实验室,助理研究员

社会兼职2017-03-01-今,AVS国家标准工作组数字媒体内容描述组联合组长,
2016-01-01-今,IEEE1857.6标准工作组联合组长,


荣誉与奖励





2018年获得中国图象图形学学会科学技术二等奖
2018年获得PRCV2018美图短视频实时分类挑战赛冠军
2018年获得“AI Challenger”全球AI挑战赛短视频实时分类比赛亚军

2016年获得“CCF-腾讯犀牛鸟基金”
2014年入选“中国科学院青年创新促进会”
2010年获得“中国科学院院长优秀奖”









出版信息











国际期刊：
Y. Zhang, C. Cao, J. Cheng and H. Lu, “EgoGesture: A New Dataset and Benchmark for Egocentric Hand Gesture Recognition,” IEEE Transactions on Multimedia(T-MM), Vol. 20, No. 5, pp. 1038-1050, 2018.
C. Cao, Y. Zhang, C. Zhang and H. Lu, “Body Joint Guided 3-D Deep Convolutional Descriptors for Action Recognition,” IEEE Transactions on Cybernetics(T-CYB), Vol. 48, No. 3, pp. 1095-1108, 2018.
Y. Zhang, Z. Tang, B. Wu, Q. Ji, and H. Lu, “A Coupled Hidden Conditional Random Field Model for Simultaneous Face Clustering and Naming in Videos,” IEEE Transactions on Image Processing (T-IP), Vol. 25, No. 12, pp. 5780-5792, 2016.
Y. Zhang, Y. Zhang, E. Swears, N. Lario, Z. Wang and Q. Ji, “Modeling Temporal Interactions with Interval Temporal Bayesian Networks for Complex Activity Recognition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), Vol. 35, No. 10, pp. 2468-2483, Oct. 2013.
Y. Zhang, Z. Tang, C. Zhang, J. Liu and H. Lu, “Automatic face annotation in TV series by video/script alignment,” Neurocomputing Vol. 152, pp. 316-321, 2015.
J. Liu, Y. Zhang, Z. Li and H. Lu. “Correlation Consistency Constrained Probabilistic Matrix Factorization for Social Tag Refinement”. Neurocomputing, Vol. 119, pp. 3–9, Nov. 2013.
Y. Zhang, C. Xu, H. Lu and Y. Huang, “Character Identification in Feature-length Films Using Global Face-Name Matching,” IEEE Transactions on Multimedia (T-MM), Vol. 11, No. 7, pp. 1276-1288, 2009.
Y. Zhang, C. Xu, X. Zhang and H. Lu, “Personalized Retrieval of Sports Video Based on Multi-modal Analysis and User Preference Acquisition,” Multimedia Tools and Applications (MTA), Vol. 44, No. 2, pp. 305-330, 2009.
C. Xu, Y. Zhang, G. Zhu, Y. Rui, H. Lu and Q. Huang, “Using Web-cast Text for Semantic Event Detection in Broadcast Sports Video,” IEEE Transactions on Multimedia (T-MM), Vol. 10, No. 7, pp. 1342-1355, Nov. 2008.
国际会议：
L. Shi,Y. Zhang,J. Chengand H. Lu, "Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based ActionRecognition," in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long beach, US, 2019.
L. Shi,Y. Zhang, J. Chengand H. Lu, "Skeleton-Based Action Recognition with Directed Graph Neural Networks," in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Long beach, US, 2019.


P. Wang, Q. Hu, Y. Zhang, C. Zhang, Y. Liu and J. Cheng, "Two-Step Quantization for Low-bit Neural Networks," in Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, US, 2018.
Q. Hu, G. Li, P. Wang,Y. Zhang andJ Cheng: Training Binary Weight Networks via Semi-Binary Decomposition. ECCV 2018: 657-673.
C. Cao, Y. Zhang, Y. Wu, H. Lu and J. Cheng, "Egocentric Gesture Recognition Using Recurrent 3D Convolutional Neural Networks with Spatiotemporal Transformer Modules,"In Proceedings of IEEE International Conference On Computer Vision (ICCV), Venice, Italy, 2017.
Q. Hu, J.Wu,L. Bai,Y. Zhang andJ. Cheng, "Fast K-means for Large Scale Clustering,"In Proceedings ofCIKM2017:2099-2102.
C. Cao, Y. Zhang, C. Zhang and H. Lu, “Action Recognition with Joints-Pooled 3D Deep Convolutional Descriptors”, In Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), 2016.
Z. Tang, Y. Zhang, Z. Li and H. Lu, “Face clustering in videos with proportion prior”, In Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), Buenos Aires, Argentina, 2015 (Oral).
C. Cao,Y. Zhang andH. Lu,“Multi-modal learning for gesture recognition”, In Proceedings of IEEE International Conference on Multimedia and Expo (ICME), Torino, Italy, 2015.
C. Cao,Y. Zhang andH. Lu “Spatio-Temporal Triangular-Chain CRF for Activity Recognition”,In Proceedings of ACM Multimedia2015:1151-1154.
Z. Tang, Y. Zhang, S. Qiu and H. Lu, “Video Face Naming Using Global Sequence Alignment,” In proceedings of IEEE International conference on Image Processing (ICIP), Paris, France, 2014.
Y. Zhang, Q. Ji and H. Lu, “Event Detection in Complex Scene Using Interval Temporal Constraints,” In Proceedings of IEEE International Conference On Computer Vision (ICCV), pp. 3184-3191, Sydney, Australia, 2013.
B. Wu，Y. Zhang, B. Hu and Q. Ji, “Constrained Clustering and Its Application to Face Clustering In Videos," in Proceedings of IEEE International Conference On Computer Vision and Pattern Recognition (CVPR), Portland, US, 2013.
















科研活动
科研项目
1. 国家自然科学基金，“基于概率图模型的复杂行为识别”，2016.1-2019.12, 负责人。
2. 国家自然科学基金，“知识与数据混合驱动的概率图模型研究及在行为识别的应用”，2013.1-2015.12, 负责人。
3. 中科院青促会专项基金， 2014.7-2017.12, 负责人。
4. 中科院院长奖专项基金，2011.4-2012.12，负责人。
5. 863项目，“网络媒体大数据关联挖掘和多维度呈现”，2014.1-2016.12，课题骨干。