Emailjindi [AT]tju[DOT]edu[DOT]cn

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

   20127 月至今,天津大学计算机学院,副教授

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



Academic Activities(学术活动)

· PC member of IJCAI-13, IJCAI-16, AAAI-16, AAAI-17, AAAI-18, IJCAI-18 

  国际人工智能联合会议IJCAI-13、IJCAI-16、IJCAI-18程序委员会成员, 美国人工智能会议AAAI-16、AAAI-17、AAAI-18程序委员会成员 

·Reviewer of IEEE Transactions on Cybernetics,  IEEE Transactions on NNLS, Information Sciences , Acta Automatica Sinica, Chinese Journal of Computer

  国际期刊IEEE Transactions on Cybernetics;  IEEE Transactions on NNLS; Information Sciences, ; 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


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


· Peiyang Scholar Award of Tianjin University, 2014



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


 · 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


·  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




Projects (主持项目)


· 1. National Natural Science Foundation of China: Research on accurate semantic community detection in large-scale complex networks with content (61772361). Jan 2018 - Dec 2020. (Project leader)


· 2. National Natural Science Foundation of China: Research on hybrid node-link partitioning approaches for discovering overlapping communities in complex networks (61303110). Jan 2014 - Dec 2016. (Project leader)


· 3. PhD Programs Foundation of Ministry of Education of China: Research on unified node-link model for detecting overlapping communities in complex networks (20130032120043). Jan 2014 - Dec 2016. (Project leader)


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


· 5. 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) 


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




Publications for 2015 or later  (2015年后的论文)



2017 and beyond:

[1] Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang. Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics, AAAI-18 (CCF A类会议长文)

[2] Dongxiao He, Xinxin You, Zhiyong Feng, Di Jin, Xue Yang, Weixiong Zhang. A Network-Specific Markov Random Field Approach to Community Detection, AAAI-18 (CCF A类会议长文)

[3] Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang, Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents, AAAI-17 (CCF A类会议长文)

[4] Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Francoise Fogelman-Soulié, Jianwu Dang. Identification of generalized communities with semantics in networks with content. ICTAI’17 (EI, CCF C类会议)

[5] Di Jin, Meng Ge, Zhixuan Li, Wenhuan Lu, Dongxiao He, Francoise Fogelman-Soulie. Using Deep Learning for Community Discovery in Large Social Networks. ICTAI’17 (EI, CCF C类会议)

[6] Limengzi Yuan, Wenjun Wang, Pengfei Jiao, Di Jin*, Wenxin Wei. Tracking and detecting dynamic communities with node popularity preservation. ICTAI’17 (EI, CCF C类会议)

[7] Meng Qin, Di Jin*, Dongxiao He, Bogdan Gabrys, Katarzyna Musial. Adaptive Community Detection Incorporating Topology and Content in Social Networks. 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, pp. 675-682 (EI)

[8] Jinxin Cao, Di Jin*, Liang Yang, Jianwu Dang. Incorporating network structure with node contents for Community Detection on large networks using deep learning. Neurocomputing, 2017 (accepted) (SCI二区, IF: 3.61)

[9] Wenjun Wang, Xue Chen, Pengfei jiao, Di Jin. Similarity-based Regularized Latent Feature Model for Link Prediction in Bipartite Networks. Scientific Reports, 2017 (accepted) (SCI二区, IF: 5.018)

[10] Xiao Liu, Wenjun Wang, Dongxiao He, Pengfei Jiao, Di Jin, Carlo Vittorio Cannistraci, Semi-supervised community detection based on non-negative matrix factorization with node popularity, Information Sciences, Volume 381, March 2017, Pages 304-321 (SCI, IF: 3.858 )


[1] Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang. Detect overlapping communities via modeling and ranking node popularities. AAAI-16, pp.172-178 

[2] Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang. Semantic Community Identification in Large Attribute Networks. AAAI-16, pp.265-271

[3] 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. 2016, Volume 446, 15 March 2016, Pages 22–34 (SCI, IF: 1.732)

[4] Dongxiao He, Hongcui Wang, Di Jin, Baolin Liu, A model framework for the enhancement of community detection in complex networks, Physica A: Statistical Mechanics and its Applications, Volume 461, 1 November 2016, Pages 602–612 (SCI, IF: 1.732)

[5] Wenjun Wang, Pengfei Jiao, Dongxiao He, Di Jin, Lin Pan, Bogdan Gabrys. Autonomous Overlapping Community Detection in Temporal Networks: A Dynamic Bayesian Nonnegative Matrix Factorization Approach. Knowledge Based Systems, Volume 110, 15 October 2016, Pages 121–134 (SCI, IF: 3.325)


[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): e0119171. (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