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张小明

发布日期:2019-06-16

张小明 Xiaoming Zhang

 

副教授

     

博士

     

010-82338247

 


     

     


电子信箱

yolixs@buaa.edu.cn

     


个人主页


  学习经历

  1999/092003/07 国防科技大学计算机科学与技术学士学位  

  2004/092007/01 国防科技大学计算机应用技术硕士学位  

  2007/092012/03 威尼斯人棋牌计算机应用技术博士学位  

  2009/092010/09 澳大利亚昆士兰大学联合培养博士  

  工作经历

  2012/07-2017/01,威尼斯人棋牌,计算机学院,讲师

  2017/01-至今威尼斯人棋牌,计算机学院,助理教授  

  2017/06-2018/05威尼斯人棋牌,计算机学院,博士生导师

  2018/05-至今威尼斯人棋牌,,助理教授、博士生导师.

  研究领域

社交网络分析、社交媒体数据挖掘、网络事件检测及影响力分析与预测、网络多模态数据深度融合、文本数据信息抽取、多模态深度学习。

  荣誉及奖励

  2012年,威尼斯人棋牌“蓝天新秀”

  开授课程

人工智能及应用、自然语言处理、信息内容安全、机器学习

  教学及科研成果

在人工智能、机器学习、数据挖掘等领域,已在著名国际学术会议IJCAIAAAICIKMDASFAASDMColing等、以及著名国际期刊TOISTMMIEEE  transaction on CyberneticsKBSWWWJSignal  Processingneurocomputing等发表50余篇学术论文

已承担的科研项目包括:国家自然科学基金青年基金项目、北京市自然基金面上项目、国家242信息安全专项、中央高校基本科研项目、威尼斯人棋牌“蓝天新秀”科研项目等。项目主要研究如何快速检测网络空间的热点事件,分析事件中的人物关系、人物观点、情感信息等,利用深度学习方法进行人物关系和属性的抽取,基于深度模型进行事件热度和影响的预测,基于信息检索方法进行话题中的文本推荐。项目研究成果已在相关部门得到广范应用。

十篇代表性论文:

(1) Xioaming Zhang ;  Senzhang Wang; Zhoujun Li; Shuai Ma,Landmark Image

Retrieval by Jointing  Feature Refinement and Multimodal Classifier Learning, IEEE Transactions on  Cybernetics, 2017.6.20, PP(99): 1~14

(2) Feiran Huang;  Xiaoming Zhang; Zhoujun Li; Tao Mei; Yueying He; Zhonghua Zhao, Learning  Social Image Embedding with Deep Multimodal Attention Networks, ACM  Multimedia (Thematic Workshops) , 2017.10.14-2017.10.19

(3) Dejian Yang;  Senzhang Wang; Chaozhuo Li; Xiaoming Zhang; Zhoujun Li, Fr

om Properties to  Links: Deep Network Embedding on Incomplete Graphs, The 26thACM International  Conference on Information and Knowledge Management (CIKM) ,  2017.11.15-2017.11.20

(4) Senzhang Wang;  Xiaoming Zhang; Jianping Cao; Lifang He; Leon Stenneth; PHILIP S. YU; Zhoujun  Li; Zhiqiu Huang, Computing Urban Traffic Congestions by Incorporating Sparse  GPS Probe Data and Social Media Data, ACM Transactions on Information Systems  (TOIS), 2017.8.1, 15(4)

(5) Zhang, Xiaoming ;  Hu, Xia; Wang, Senzhang; Yang, Yang; Li, Zhoujun; Zhou, Jianshe, Learning  Geographical Hierarchy Features via a Compositional Model, IEEE Transactions  on Multimedia, 2016.9, 18(9): 1855~1868

(6) Zhang, Xiaoming ;  Ji, Shufan; Wang, Senzhang; Li, Zhoujun; Lv, Xueqiang, Geographical Topics  Learning of Geo-Tagged Social Images, IEEE Transactions on Cybernetics,  2016.3, 46(3): 744~755

(7) Xiaoming Zhang ;  Xiahu; Zhoujun Li, Learning Geographical Hierarchy Features for Social Image  Location Prediction, 2015 24th International Joint Conference on Artificial  Intelligence, IJCAI 2015, 2015.7.25-2015.7.30

(8) Xiaoming Zhang ;  Zhonghua Zhao; Haijun Zhang; Senzhang Wang; Zhoujun Li, Unsupervised  geographically discriminative feature learning for landmark tagging,  Knowledge-Based Systems

(9) Xiaoming Zhang ;  Wenhan Chao; Zhoujun Li; Chunyang Liu; Rui Li, Mult i-modal Kernel Ridge  Regression for Social Image Classification, Applied Soft Computing

(10) Xiaoming Zhang ;  Xiaoming Chen; Yan Chen; Senzhang Wang; Zhoujun Li; Jiali Xia, Event  detection and popularity prediction in microblogging, Neurocomputing, 2015,  149(C): 1469~1480

  学术与社会服务

中国计算机学会会员,中国人工智能学会智能服务专委会委员,国际会议SDM2015SDM2016SDM2017PC member,国际期刊PATTERN  RECOGNITIONMTAKBS等的审稿人。

  科研项目


Curriculum Vitae  (CV)

Xiaoming Zhang  received the B.Sc. degree and the M.Sc. degree in computer science and  technology from the National University of Defence Technology, Changsha,  China, in 2003 and 2007, respectively, and the Ph.D. degree in computer  science from Beihang University, Beijing, China, in 2012. He is currently  with the School of Computer, Beihang University, where he has been an  Associate Professor, since 2017. He has published over 50 papers, such as the  IEEE TRANSACTIONS ON MULTIMEDIA, IEEE TRANSACTION ON CYBERNETICS, TOIS, World  Wide Web Journal, Neurocomputing, the Journal of Intelligent Systems, Signal  Processing, ICMR2018, CIKM2017, DASFAA2017, International Joint Conference on  Artificial Intelligence 2015, International Conference on Multimedia  Retrieval 2015, Siam International Conference on Data Mining 2014,  International Conference on Web-Age Information Management 2014, AAAI  Conference on Artificial Intelligence 2013, and Coling 2012. His current  research interests include social media analysis, machine learning, and text  mining.

 

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