胡卫明，男， 中国科学院自动化研究所模式识别国家重点实验室研究员(二级)
作者：科大科院考研网 发表时间：2019-12-24 来源：研招办
科院考研推荐链接：
研究领域
视频运动分析（含智能视觉监控）、网络多媒体内容安全分析与识别
招生信息
招生专业
081104-模式识别与智能系统
081203-计算机应用技术
招收模式识别与智能系统、计算机应用技术两个专业的硕士生和博士生
招生方向
视频信息处理：运动目标的检测、跟踪与行为理解(含智能视觉监控)、基于运动特征分析的视频检索、视频数据挖掘等。
网络信息安全分析与识别：网络多媒体有害内容的识别、网络入侵模式分析等。
教育背景
学历
1998.04—2000.03: 在北京大学计算机科学技术研究所(即北大方正技术研究院)博士后流动站，从事博士后研究工作。合作教师为王选院士。
学位
1995.03—1998.03: 在浙江大学计算机系攻读工学博士学位。指导教师为何志均教授。
出国学习工作
曾多次到美国哥伦比亚大学、伊利诺伊斯大学厄巴那-香槟分校、英国雷丁大学和伦敦大学Birkbeck学院、法国波尔多第三大学、澳大利亚Monash大学和卧龙岗大学以及新加坡国立大学做访问研究。
工作经历
工作简历
1998年3月进入北京大学计算机科学技术研究所(即北大方正技术研究院)博士后流动站，从事 博士后研究工作。
2000年4月起在中国科学院自动化研究所模式识别国家重点实验室工作。
2000年4月起在中国科学院自动化研究所模式识别国家重点实验室工作。
社会兼职
国家自然科学基金委员会第十二、十三届专家评审组成员、国家物联网基础标准工作组专家、国际权威刊物IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics的Associate Editor。
教授课程
专利与奖励
2004年以第二完成人获北京市科学技术奖(基础研究类)一等奖。2008年以第一完成人获北京市科学技术奖(基础研究类)二等奖。2012年以第一完成人获北京市科学技术奖(技术发明类)一等奖。2013年以第一完成人获北京市发明专利奖一等奖、以第一完成人获中国专利优秀奖。2015年以唯一完成人获吴文俊人工智能科学技术奖一等奖。
授权发明专利40余项。主持完成了国家某大型网络监管重点示范工程项目，负责完成的敏感图像和视频识别技术、兴奋剂宣传销售信息识别技术得到了实际应用，负责开发了网络多模态有害信息过滤系统，带领团队研发成功直播平台云审核系统(一款类脑智能产品，已使用超过2年)、便携式手机特定视频检测装备(已在实战发挥作用)、异质媒体监测系统产品(已交某部级单位实际使用)、网络直播智能监控系统(成功中标央广视讯播控平台)，相关技术还被国家计算机网络与信息安全管理中心、国家电网、央广视讯、华为、新浪等多家企事业单位采购，取得了显著的经济效益和社会效益。有7年作为软件工程师的软件系统开发经历，独立完成源代码20万行以上，完成的商业化软件产品—方正智绘地图晕渲系统广泛使用于测绘、地矿、农业、林业、出版等行业。
科研项目
先后主持了国家自然科学基金重点项目、重大国际合作项目、通用联合基金重点支持项目、应急管理项目、国家杰出青年基金项目，国家863重点专项项目、目标导向类课题，国家242信息安全计划重点课题、中国科学院前沿科学重点研究项目、对外合作重点项目，北京市自然科学基金重点项目、海淀原始创新联合基金重点研究专题项目、重点国际合作项目等三十余项科研项目。
出版信息
已在PAMI、IJCV等国际刊物、国内一级刊物以及ICCV、ECCV、CVPR等重要国际学术会议上发表论文200余篇，其中第一作者47篇。据不完全统计，从2004年1月到2018年10月，发表的论文被Web of Science他引8336次、Google Schoolar他引19111次；单篇Web of Science他引用最高次数为1102次、单篇Google Scholar他引最高次数2591篇次。
主要国际权威刊物与顶级国际会议论文：
1. Weiming Hu, Guodong Tian, Yongxin Kang, Chunfeng Yuan, and Stephen Maybank, “Dual sticky hierarchical Dirichlet process hidden Markov model and its application to natural language description of motions,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 10, pp. 2355-2373, Oct. 2018.
2. Junliang Xing, Zhiheng Niu, Junshi Huang, Weiming Hu(
), Xi Zhou, and Shuicheng Yan, “Towards robust and accurate multi-view and partially-occluded face alignment,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 4, pp. 987-1001, 2018.
3. Bing Li, Chunfeng Yuan, Weihua Xiong, Weiming Hu, Houwen Peng, Xinmiao Ding, and Steve Maybank, “Multi-view multi-instance learning based on joint sparse representation and multi-view dictionary learning,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 12, pp. 2554-2560, 2017.
4. Houwen Peng, Bing Li, Haibin Ling, Weiming Hu(), Weihua Xiong, and Stephen J. Maybank, “Salient object detection via structured matrix decomposition,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 4, pp. 818-832, April 2017.(Featured paper)
5. Weiming Hu, Jin Gao, Junliang Xing, Chao Zhang, and Stephen Maybank, “Semi-supervised tensor-based graph embedding learning and its application to visual discriminant tracking,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 1, pp. 172-188, Jan. 2017.
6. Weiming Hu, Wei Li, Xiaoqin Zhang, and Stephen Maybank, “Single and multiple object tracking using a multi-feature joint sparse representation,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 37, no. 4, pp. 816-833, April 2015.
7. Guang Luo, Shuang Yang, Guodong Tian, Chunfeng Yuan, Weiming Hu(), and Stephen J. Maybank, “Learning human actions by combining global dynamics and local appearance,”IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 12, pp. 2466-2482, Dec. 2014. (Featured paper)
8. Weiming Hu, Nianhua Xie, Ruiguang Hu, Haibin Ling, Qiang Chen, Shuicheng Yan, and Stephen Maybank, “Bin ratio-based histogram distances and their application to image classification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI),vol. 36, no. 12, pp. 2338-2352, Dec. 2014.
9. Weiming Hu, Xi Li, Guodong Tian, Stephen Maybank, and Zhongfei Zhang, “An incremental DPMM-based method for trajectory clustering, modeling, and retrieval,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 35, no. 5, pp. 1051-1065, May 2013.
10. Weiming Hu, Xi. Li, Wenhan Luo, Xiaoqin Zhang, Stephen Maybank, and Zongfeng Zhang, “Single and multiple object tracking using log-Euclidean Riemannian subspace and block-division appearance model,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 34, no. 12, pp. 2420-2440, 2012.
11. Weiming Hu, Ou Wu, Zhouyao Chen, Zhouyu Fu, and Steve Maybank, “Recognition of pornographic web pages by classifying texts and images,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 29, no. 6, pp. 1019-1034, 2007.
12. Weiming Hu, Xuejuan Xiao, Zhouyu Fu, Dan Xie, Tieniu Tan, and Steve Maybank, “A system for learning statistical motion patterns,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 9, pp. 1450-1464, September 2006.
13. Weiming Hu, Min Hu, Xue Zhou, Tieniu Tan, Jianguang Lou, and Steve Maybank,“Principal axis-based correspondence between multiple cameras for people tracking,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 28, no. 4, pp. 663-671, April 2006.
14. Liang Wang, Tieniu Tan, Huazhong Ning, and Weiming Hu, “Silhouette analysis based gait recognition for human identification,” IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), vol. 25, no. 12, pp. 1505-1518, 2003.
15. Chunfeng Yuan, Baoxin Wu, Xi Li, Weiming Hu(), Stephen Maybank, and Fangshi Wang, “Fusing R features and local features with context-aware kernels for action recognition,”International Journal of Computer Vision (IJCV), vol. 118, no. 2, pp. 151-171, June 2016.
16. Bing Li, Weihua Xiong, Weiming Hu(), Brian Funt, and Junliang Xing, “Multi-cue illumination estimation via a tree-structured group joint sparse representation,” International Journal of Computer Vision (IJCV), vol. 117, no. 1, pp. 21-47, March 2016.
17. Xiaoqin Zhang, Weiming Hu, Nianhua Xie, Hujun Bao, and Stephen Maybank, “A robust tracking system for low frame rate video,” International Journal of Computer Vision (IJCV), vol. 115, no. 3, pp. 279-304, December 2015.
18. Weiming Hu, Guodong Tian, Xi Li, and Stephen Maybank, “An improved hierarchical Dirichlet process-hidden Markov model and its application to trajectory modeling and retrieval,” International Journal of Computer Vision (IJCV), vol. 105, no. 3, pp. 246-268, Dec. 2013.
19. Weiming Hu, Xi Li, Xiaoqin Zhang, Xinchu Shi, Stephen Maybank, and Zhongfei Zhang, “Incremental tensor subspace learning and its applications to foreground segmentation and tracking,” International Journal of Computer Vision (IJCV), vol. 91, no. 3, pp. 303-327, February 2011.
20. Ou Wu, Qiang You, Fen Xia, Lei Ma, and Weiming Hu, “Listwise learning to rank from crowds,” ACM Transactions on Knowledge Discovery from Data (TKDD), vo. 11, no. 1, Article no. 4, 2016.
