di jin’s homepage news! 当前正在接收2016年度核算机、软件学院硕士生，并等待本科生进实验室! 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，核算机科学与技能学院，我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，天津大学核算机学院，副教授 (硕士生导师) my current research interests include data mining, analysis of complex networks, and machine learning . 研讨方向:交际网络分析、大数据、数据发掘、机器学习 academic activities（学术活动） · pc member of ijcai-13, aaai-16, ijcai-16 世界人工智能联合会议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 世界期刊information sciences, plos one, enterprise information systems ; 国内期刊 《主动化学报》, 《核算机学报》审稿人 honors （获奖情况） · best paper award in acta automatica sinica, 2012 2012年度《主动化学报》优良论文奖·scholarship award for excellent doctoral student granted by ministry of education of china, 2011 2011年度教育部博士研讨生学术新人奖· peiyang scholar award of tianjin university, 2014 2014年度天津大学北洋专家-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 博士后研讨员 ，英国伯恩茅斯大学，方案、工程与核算机系 · 2010.9~2011.7: visiting phd student in haslab, department of informatics, university of minho, braga, portugal 联合培育博士研讨生，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, 核算机科学与技能学院, 核算机使用技能专业 博士学位论文《凌乱网络社区发掘中若干要害疑问研讨》 · 2005.9~2008.7: ms in college of computer science and technology, jilin university, china 硕士，吉林大学, 核算机科学与技能学院, 核算机使用技能专业· 2001.9~2005.7: bs in college of computer science and technology, jilin university, china 学士，吉林大学，核算机科学与技能学院，核算机科学与技能专业 projects （掌管项目） · 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) 国家天然科学基金青年项目，**、结点—联接协同区另外凌乱网络堆叠社团发现办法研讨、2014/01-2016/12、在研、掌管 · 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、根据结点与联接共同模型的凌乱网络堆叠社团检测研讨、2014/01-2016/12、在研、掌管· 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) 天津大学北洋专家项目，2015xrg-0007、凌乱网络中堆叠社团、社团中心和孤立点的同步勘探研讨、2015/01-2016/12、在研、掌管 · 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) 符号核算与常识工程教育部要点实验室翻开课题，根据马尔科夫动力学的凌乱网络社区检测办法研讨、93k172013k02、2013.1-2014.12、已结项、掌管 · 5. independent innovation foundation of tianjin university. jan 2013 – dec 2014. (project leader) 天津大学自立立异基金， 2015/01-2016/12、已结项、掌管 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