Jin Di
School
College of Intelligence and Computing
Professional Title
Associate professor
Administrative Appointments
Associate Professor
Contact Information
15822541480
jindi@tju.edu.cn
Room 312, Building 55B, Peiyang Park Campus, No.135, Yaguan Road, Tianjin Haihe Education Park, Tianjin, China, 300350
Education Background
- BS| Jilin University| Computer Science and Technology| 2005
- MS| Jilin University| Computer Application Technology| 2008
- PhD| Jilin University| Computer Application Technology| 2012
Research Interests
- network community detection
- social network analysis
- artificial intelligence
Positions & Employments
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2012.7-2019.12
School of Computer Science and Technology | Tianjin University | Associate Professor
Academic Achievements
- Papers
- [1] 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
- [2] 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)
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- [3] 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)
- [4] Hongcui Wang, Di Jin*, Lantian Li, Jianwu Dang. Community detection with manifold learning on speaker i-vector space for Chinese, Interspeech-15
- [5] 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)
- [6] 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)
- [7] Di Jin, Zheng Chen, Dongxiao He, Weixiong Zhang. Modeling with node degree preservation can accurately find communities, AAAI-15, Jan 25-30, 2015
- [8] 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)
- [9] 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)
- [10] 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)
- [11] 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)
- [12] Xiao Wang, Di Jin, Xiaochun Cao, Liang Yang, Weixiong Zhang. Semantic Community Identification in Large Attribute Networks. AAAI-16, pp.265-271
- [13] Di Jin, Hongcui Wang, Jianwu Dang, Dongxiao He, Weixiong Zhang. Detect overlapping communities via modeling and ranking node popularities. AAAI-16, pp.172-178
- [14] 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 )
- [15] 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