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张小明Xiaoming Zhang

职 称

助理教授

学 历

博士

电 话

010-82338247

办 公 室

系 别

网络空间安全学院

职 务

电子信箱

yolixs@buaa.edu.cn

传 真

个人主页

学习经历

1999/09-2003/07 国防科技大学计算机科学与技术 学士学位

2004/09-2007/01 国防科技大学计算机应用技术 硕士学位

2007/09-2012/03 北京航空航天大学计算机应用技术 博士学位

2009/09-2010/09 澳大利亚昆士兰大学 联合培养博士

工作经历

2012/07-2017/01,北京航空航天大学,计算机学院,讲师

2017/01-至今 北京航空航天大学,计算机学院,助理教授

2017/06-2018/05北京航空航天大学,计算机学院,博士生导师

2018/05-至今北京航空航天大学,网络空间安全学院,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,北京航空航天大学“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IJCAI、AAAI、CIKM、DASFAA、SDM、Coling等、以及著名国际期刊TOIS、TMM、IEEE transaction on Cybernetics、KBS、WWWJ、Signal Processing、neurocomputing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、北航“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SDM2015、SDM2016、SDM2017的PC member,国际期刊PATTERN RECOGNITION、MTA、KBS等的审稿人。

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.