Full Name:Network Science and Application Group

Fields:Social Network Analysis,Artificial Intelligence

Interests:Community Discovery, Network Representation Learning, Topic Model

contact

Office: Room B216, Building 55, No. 135, Yaguan Road, Haihe Education Park, Jinnan District, Tianjin City, China, 300072

E-Mail: [email protected]

Join us

People who are interested in research and development in this field are welcome to join our team!


Group Information

Network Science and Application Group in Tianjin University is committed to the study the complex networks and its applications with the deep learning and probability graph model. It includes more than 20 researchers.

Reserches
Complex Networks
Deep Learning
Probability Graph Model

News


Members

Faculty

Di Jin

Pengfei Jiao

PhD students

Hongtao liu

Hongyan Xu

Yinghui Wang

Xuan Guo

Tianpeng Li

Yingjie Xie

Masters

Wang Zhang

Mengxuan Zhang


Publications

2020 and beyond:

2019:

2018:

2017:

2016:

2015:


Projects

(Current Research Projects)
2018.01 – 2021.12 National Natural Science Foundation of China: Research on accurate semantic community detection in
large-scale complex networks with content (61772361). Jan 2018 - Dec 2021. (Project leader)
2018.01 – 2020.12 国家重点研发计划子课题1
2018.07 –2021.06 国家重点研发计划子课题2
(Finished Research Projects)
2014.01 – 2016.12 National Natural Science Foundation of China: Research on hybrid node-link partitioning approaches
for discovering overlapping communities in complex networks (61303110)
2014.01 – 2016.12 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)
2015.01 – 2016.12 Peiyang Scholar Foundation of Tianjin University: Finding overlapping communities, hubs and outliers together in complex networks (2015XRG-0007). Jan 2015 - Dec 2016. (Project leader)
2013.01 – 2014.12 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)
2013.01 – 2014.12 Independent Innovation Foundation of Tianjin University. Jan 2013 - Dec 2014. (Project leader)

Resources