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祝晓斌 - Zhu xiaobin

作者: 计算机与信息工程学院  |  发布日期:2017-03-17 17:25:00  |  阅读次数:

 


祝晓斌    1981.11  博士研究生   副教授职称   籍贯:浙江.金华

研究方向:多媒体数据挖掘、人工智能(基于机器学习的图像视频智能分析等)

联系方式:brucezhucas@gmail.com

 

行业和社会兼职:

多媒体专委会和视觉大数据专委会委员;《Multimedia Tools and Applications〉、《IEEE Acess》、《Pattern Recognition》、《Chinese High Technology Letters 》等期刊审稿人, 《ICIP》、《CCCV》等会议审稿人;搜狐视频AI算法组高级顾问;与广播影视行业科研及业务机构建立了长期的深度合作,共同开展的研究包括媒体大数据、媒体与人工智能的融合等。

 

教育经历:

中科院自动化研究所-模式识别国家重点实验室, 2009.9-2013.6,  工学博士, 专业:模式识别与智能系统    

香港理工大学计算机系,    2008.8-2008-11  访问学者(合作导师-刘炎)

北京师范大学,         2003.9-2006.6,   工学硕士 

杭州电子科技大学,       1999.9 -2003.6,   工学学士

 

近几年主持/参与纵向项目:

1、国家自然科学基金青年项目:面向拥挤监控场景的异常事件检测技术研究(编号:61402023.(项目主持)

2、国家重点研发计划子课题:第三方影视资产汇聚与可信交易技术研究(项目为:文化内容资源产权交易技术).(项目主持)

3、国家重点研发计划子课题:基于深度学习的版权追踪溯源与实时版权监测技术(项目为:互联网+环境中基于国产密码的多媒体版权保护与监管技术).(项目主持)

4、国家自然科学基金面上项目:融合结构和功能磁共振成像的阿尔茨海默型痴呆辅助鉴别关键技术研究.(参与)

5、北京市科委项目:食品安全知识图谱及大数据平台研制.(主要参与)

 

近几年主持代表性横向项目:

1基于内容的视频排序算法研究与实现     (项目主持)

2视频内容分级鉴定研究与实现        (项目主持)

3视频搜索快速算法研究与实现      (项目主持)

4图像语义分割研究与实现        (项目主持)

5微信公众平台数据分析系统       (项目主持)

6DASH加解密软件开发技术服务      (项目主持)

7融合媒体深度神经网络训练库和验证库委托搭建技术服务  (项目主持)

8DRM安全评估环境委托搭建技术服务   (项目主持)

9 、。。。。等

 

3年代表性期刊论文和专著:

Xiaobin Zhu, Jing Liu, Jinqiao Wang, Changsheng Li, Hanqing Lu, “Sparse representation for robust abnormality detection in crowded scenes”Pattern  Recognition, Volume 47, Issue 5, May 2014, pp. 1791–1799

Xiaobin Zhu, Xin JinXiaoyu ZhangChangsheng LiFugang HeLei Wang, “Context-aware local abnormality detection in crowded scene”, SCIENCE CHINA Information Sciences, 58(5), pp. 1-11, 2015. 

Xiaobin Zhu, Qian WangAbnormal activity detection for surveillance video synopsis” HIGH TECHNOLOGY LETTERS, 22(2), pp.192-198.

Chunjie Zhang, Yifan Zhang, Xiaobin Zhu, Zhe Xue,  Lei Qin, Qingming Huang and Qi Tian, “Socio-mobile landmark recognition using local features with adaptive region selection”, Neurocomputing, Vol. 172, pp. 100-113, 2016.  

Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu,“Human Age Estimation Based on Locality and Ordinal Information”,IEEE Transaction on Cybernetics 45(11), 2522-2534.

Chunjie Zhang, Xiaobin ZhuLiang LiYifan ZhangJing Liu, Qingming Huang and Qi Tian, “Joint image representation and classification in random semantic spaces”, Neurocomputing, Vol. 156, pp. 79-85, 2015. (通讯作者)

Xiaoyu Zhang, Shupeng Wang,  Xiaobin Zhu,  Xiao-chun Yun, Guangjun Wu and Yipeng Wang, “Update vs. upgrade: Modeling with indeterminate multi-class active learning”, Neurocomputing, Vol. 162, pp. 163-170, 2015.

Chunjie Zhang, Zhe Xue, Xiaobin Zhu*, Huanian Wang, Qingming Huang, Qi Tian, “Boosted random contextual semantic space based representation for visual recognition”, Information Science, Volume 369, 10 November 2016, Pages 160–170 (通讯作者)

Kai Zhang, Xiaochun Yun, Xiao-Yu Zhang*, Xiaobin Zhu, Chao Li, Shupeng Wang, “Weighted hierarchical geographic information description model for social relation estimation”. Neurocomputing2016. 

 

专著:面向智能视频监控的异常检测与摘要技术研究   知识产权出版社   2015-7

 

获奖情况:

12017年度广播影视科技创新奖二等奖(省部级)   排名第二

项目名称:深度学习技术在媒体融合中的应用研究

22017年度中国电影电视技术学会影视科技优秀论文奖三等奖(省部级)   排名第二

论文名称:基于海量异构数据关联和挖掘 的媒体融合技术研究  

32017年度中国电影电视技术学会影视科技优秀论文奖三等奖(省部级)   排名第二

论文名称:基于深度学习的融合媒体智能引擎研究 

4CCCV2017最佳论文(中国计算机视觉大会) 指导教师

论文名称:Qiang Cai, Ziyu Xue, Xiaoyu Zhang, Xiaobin Zhu,A Novel Framework for Image Description Generation.

 

 

RESUME

Zhu xiaobin      Title: Associate  Professor    E-mail: brucezhucas@gmail.com

Department of Computer Science and Technology of Beijing Technology and Business University

Education:   

Institute of Automation, Chinese Academy of Science, 2009-2013, Major: Pattern Recognition and Intelligent System,   Supervisor: Hanqing Lu

Research Interests: 

My research is in the areas of multimedia content analysis and computer vision. I lead the a team, conducting research on all aspects of extracting high-level information from big video data, such as video event recognition, object/scene recognition and large-scale visual search.

Selected recent projects:

1“Research on Anomaly Detection for Crowded Video Surveillance Scenes”   National Natural Science Foundation of China    2014-2016  

2”Porn and Sexy Video classification system”  Sohu Video  2016-2017 

3”Video copy dectection system”  Sohu Video  2015-2016
 

Selected recent journal papers:

1、  Xiaobin Zhu, Jing Liu, Jinqiao Wang, Changsheng Li, Hanqing Lu, “Sparse representation for robust abnormality detection in crowded scenes”Pattern  Recognition, Volume 47, Issue 5,May 2014, Pages 1791–1799  

2、  Xiaobin Zhu, Xin JinXiaoyu ZhangChangsheng LiFugang HeLei Wang,

“Context-aware local abnormality detection in crowded scene”, SCIENCE CHINA Information Sciences, 58(5), pp. 1-11, 2015.  

3、  Chunjie Zhang, Zhe Xue, Xiaobin Zhu, Huanian Wang, Qingming Huang, Qi Tian, “Boosted random contextual semantic space based representation for visual recognition”, Information Science, Volume 369 , 10 November 2016, Pages 160–170 (Corresponding author)  

4、  Chunjie Zhang, Yifan Zhang, Xiaobin Zhu, Zhe Xue,  Lei Qin, Qingming Huang and Qi Tian  , “Socio-mobile landmark recognition using local features with adaptive region selection”, Neurocomputing, Vol. 172, pp. 100-113, 2016. 

5、  Changsheng Li, Qingshan Liu, Weishan Dong, Xiaobin Zhu, Jing Liu, Hanqing Lu,“Human Age Estimation Based on Locality and Ordinal Information”,IEEE Transaction on Cybernetics (TC) 45(11), 2522-2534.   

6、  Chunjie Zhang, Xiaobin ZhuLiang LiYifan ZhangJing Liu, Qingming Huang and Qi Tian, “Joint image representation and classification in random semantic spaces”, Neurocomputing, Vol. 156, pp. 79-85, 2015.

7、  Xiaoyu Zhang, Shupeng Wang,  Xiaobin Zhu,  Xiao-chun Yun, Guangjun Wu and Yipeng Wang, “Update vs. upgrade: Modeling with indeterminate multi-class active learning”, Neurocomputing, Vol. 162, pp. 163-170, 2015.  

8、  Kai Zhang, Xiaochun Yun, Xiao-Yu Zhang*, Xiaobin Zhu, Chao Li, Shupeng Wang, “Weighted hierarchical geographic information description model for social relation estimation”. Neurocomputing2016.   

9、  Ruijun Liu, Yi Chen, Xiaobin Zhu, Kun Hou, “Image Classification Using Label Constrained Sparse Coding”, Multimedia Tools and Applications  .