Di Jin's Homepage News! 目前正在招收2016年度计算机、软件学院硕士生，并欢迎本科生进实验室!



Di Jin School of Computer Science and TechnologyTianjin University, China Room 608, Building 25B,No. 92, Weijin Road, Nankai District,Tianjin City, China, 300072 金弟 天津大学，计算机科学与技术学院，中国天津市南开区卫津路92号25楼B608室邮编：300072


Email: jindi [AT]tju[DOT]edu[DOT]cn

Since July 2012, I have been an associate professor in Tianjin University .

2012年7月至今，天津大学计算机学院，副教授 (硕士生导师)

My current research interests include data mining, analysis of complex networks, and machine learning .

研究方向：社交网络分析、大数据、数据挖掘、机器学习


Academic Activities（学术活动）

· PC member of IJCAI-13, AAAI-16, IJCAI-16

国际人工智能联合会议IJCAI-13、IJCAI-16程序委员会成员, 美国人工智能会议AAAI-16程序委员会成员

·Reviewer of Information Sciences, PLoS ONE, Enterprise Information Systems , Acta Automatica Sinica, Chinese Journal of Computer

国际期刊Information Sciences, PLoS ONE, Enterprise Information Systems ; 国内期刊 《自动化学报》, 《计算机学报》审稿人



Honors （获奖情况）




· Best Paper Award in Acta Automatica Sinica, 2012

2012年度《自动化学报》优秀论文奖

·Scholarship Award for Excellent Doctoral Student granted by Ministry of Education of China, 2011

2011年度教育部博士研究生学术新人奖

· Peiyang Scholar Award of Tianjin University, 2014

2014年度天津大学北洋学者-青年骨干教师





Education (教育情况)


· 2013.12~2014.7: Post-doc researcher in School of Design, Engineering & Computing, Bournemouth University, UK

博士后研究员 ，英国伯恩茅斯大学，设计、工程与计算机系

· 2010.9~2011.7: Visiting PhD student in HASLab, Department of Informatics, University of Minho, Braga, Portugal

联合培养博士研究生，葡萄牙米尼奥大学，信息学院HASLab实验室

· 2008.9~2012.6: PhD in College of Computer Science and Technology, Jilin University, China

Dissertation: “Research on Community Mining in Complex Networks”

博士，吉林大学, 计算机科学与技术学院, 计算机应用技术专业

博士学位论文《复杂网络社区挖掘中若干关键问题研究》

· 2005.9~2008.7: MS in College of Computer Science and Technology, Jilin University, China

硕士，吉林大学, 计算机科学与技术学院, 计算机应用技术专业

· 2001.9~2005.7: BS in College of Computer Science and Technology, Jilin University, China

学士，吉林大学，计算机科学与技术学院，计算机科学与技术专业





Projects （主持项目）





· 1. National Natural Science Foundation of China: Research on hybrid node-link partitioning approaches for discovering overlapping communities in complex networks (**). Jan 2014 - Dec 2016. (Project leader)

国家自然科学基金青年项目，**、结点—链接协同划分的复杂网络重叠社团发现方法研究、2014/01-2016/12、在研、主持

· 2. PhD Programs Foundation of Ministry of Education of China: Research on unified node-link model for detecting overlapping communities in complex networks (**043). Jan 2014 - Dec 2016. (Project leader)

教育部博士点基金新教师类，**043、基于结点与链接统一模型的复杂网络重叠社团检测研究、2014/01-2016/12、在研、主持

· 3. Peiyang Scholar Foundation of Tianjin University: Finding overlapping communities, hubs and outliers together in complex networks (2015XRG-0007). Jan 2015 - Dec 2016. (Project leader)

天津大学北洋学者项目，2015XRG-0007、复杂网络中重叠社团、社团中心和孤立点的同步探测研究、2015/01-2016/12、在研、主持 · 4. Open Project Program of Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education of China: Study on community detection in complex networks based on Markov dynamics (93K172013K02). Jan 2013- Dec 2014. (Project leader)

符号计算与知识工程教育部重点实验室开放课题，基于马尔科夫动力学的复杂网络社区检测方法研究、93K172013K02、2013.1-2014.12、已结项、主持

· 5. Independent Innovation Foundation of Tianjin University. Jan 2013 - Dec 2014. (Project leader)

天津大学自主创新基金， 2015/01-2016/12、已结项、主持



New Publications （2015年后的论文）





[New1] Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang. Detect overlapping communities via modeling and ranking node popularities. AAAI-16

[New2] Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang. Semantic community detection in large attribute networks. AAAI-16

[New3] Xiao Wang, Xiaochun Cao, Di Jin*, Yixin Cao, Dongxiao He. The (un)supervised NMF methods for discovering overlapping communities as well as hubs and outliers in networks. Physica A: Statistical Mechanics and its Applications. 2015, accepted. (SCI, IF: 1.732)

[1] Di Jin, Bogdan Gabrys, Jianwu Dang. Combined node and link partitions method for finding overlapping communities in complex networks. Scientific Reports (Nature Publishing Group), 2015, 5, 8600. (SCI, IF: 5.078)

[2] Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang. Modeling with node degree preservation can accurately find communities, AAAI-15, Jan 25-30, 2015

[3] Liang Yang, Di Jin*, Xiao Wang, Xiaochun Cao. Active link selection for efficient semi-supervised community detection. Scientific Reports, 2015, 5, 9039. (SCI, IF: 5.078)

[4] Liang Yang, Xiaochun Cao*, Di Jin*, Xiao Wang, Dan Meng. A unified semi-supervised community detection framework using latent space graph regularization. IEEE Transactions on Cybernetics, 2015, 45(11): 2585-2598 (SCI, IF: 3.781)

[5] Hongcui Wang, Di Jin*, Lantian Li, Jianwu Dang. Community detection with manifold learning on speaker i-vector space for Chinese, Interspeech-15

[6] Xiaochun Cao, Xiao Wang, Di Jin, Xiaojie Guo, Xianchao Tang. A stochastic model for detecting overlapping and hierarchical community structure, PLoS ONE, 2015, 10(3): e**. (SCI, IF: 3.534)

[7] Dongxiao He, Di Jin, Zheng Chen, Weixiong Zhang. Identification of hybrid node and link communities in complex networks. Scientific Reports, 2015, 5, 8638. (SCI, IF: 5.078)

[8] Dongxiao He, Dayou Liu, Di Jin, Weixiong Zhang. A stochastic model for the detection of heterogeneous link communities in complex networks, AAAI-15, Jan 25-30, 2015