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Jin Tian
Department of Information Management and
Management Science, Associate Professor
E-mail: [email protected]
Research Interests: E-commerce and business intelligence;
Data mining and knowledge discovery; Personalized
recommendation; Machine learning and evolutionary
computation; Social network analysis and mining.
【BIOS】
Jin Tian is currently an associate professor in the Department of Information
Management and Management Science, College of Management and Economics, Tianjin
University, China. Jin Tian received the Ph.D. degree in management science and
engineering from Tianjin University in 2008. She was a visiting scholar in University of
Maryland Baltimore County during 2014 and 2015. Her primary research interests are in
the area of E-commerce and business intelligence, data mining and knowledge discovery,
personalized recommendation; machine learning and evolutionary computation; social
network analysis and mining.
She has published more than 20 papers in journals and conferences, such as IEEE
Transaction on Neural Networks and Learning Systems, Information & Management,
Pattern Recognition, Expert Systems with Applications, Neural Computing &
Applications, and Journal of Systems Engineering, including 7 SCI papers and 10 EI
papers. She has published a monograph. She is the leader of several projects, such as the
General Program of the National Science Foundation of China, the Research Fund for the
Doctoral Program of Higher Education of China, the Elite Scholar Program of Tianjin
University, and the Self-innovation Research Fund of Tianjin University. She is also a
main researcher of several projects, such as the National Science Fund for Distinguished
Young Scholars of China, the Key Program of the National Science Foundation of China,
the Program for Changjiang Scholars and Innovative Research Teams in Universities of
China (PCSIRT), the General Program of the National Science Foundation of China. She
was awarded the Excellent Doctoral Dissertation of Tianjin in 2010.
She is a current member of associate for information systems (AIS) and has been
invited as a reviewer by some journals, such as Knowledge-Based Systems, Electronic
Commerce Research and Applications, Pattern Recognition Letters, Neurocomputing,
Computers & Industrial Engineering, Journal of Management Sciences in China, Pattern
Recognition and Artificial Intelligence.
【Published papers and books】
Book：
[1] Jin Tian, Minqiang Li. Radical basis function neural network and co-evolutionary learning. Science
Press, 2017.
Representative academic papers：
[1] Jin Tian, Minqiang Li, Fuzan Chen, Nan Feng. Learning Subspace-based RBFNN Using
Coevolutionary Algorithm for Complex Classification Tasks. IEEE Transaction on Neural Networks
and Learning Systems, 2016, 27(1): 47-61.
[2] Haoyuan Feng, Jin Tian*, Harry Jiannan Wang, Minqiang Li. Personalized Recommendation based
on Time-Weighted Overlapping Community Detection. Information & management, 2015, 52(7): 789800.
[3] Jin Tian, Minqiang Li, Fuzan Chen, Jisong Kou. Coevolutionary Learning of Neural Network
Ensemble for Complex Classification Tasks. Pattern Recognition, 2012, 45(4): 1373-1385.
[4] Jin Tian, Minqiang Li, Fuzan Chen. Dual-population Based Coevolutionary Algorithm for
Designing RBFNN with Feature Selection. Expert Systems with Applications, 2010, 37(10): 6904-6918.
[5] Jin Tian, Minqiang Li, Fuzan Chen. A Hybrid Classification Algorithm Based on Coevolutionary
EBFNN and Domain Covering Method. Neural Computing & Applications, 2009, 18(3): 293-308.
[6] Jin Tian, Minqiang Li, Fuzan Chen. Improving Multiclass Pattern Recognition with a
Coevolutionary RBFNN. Pattern Recognition Letters, 2008, 29(4): 392-406.
[7] Jin Tian, Minqiang Li, Fuzan Chen. Hidden-node-based NNE for Financial Decision Applications.
ICIC Express Letters, 2011, 5(2): 337-341.
【Academic Research Projects】
[1] PI. Research on the recommendation strategy based on community evolution and information
transfer in a complex social network scenario. Granted by the National Natural Science
Foundation of China. 2015-2018
[2] PI. Research on User Profile Evolution and Personalized Recommendation in M-Commerce.
Granted by the National Natural Science Foundation of China. 2011-2013
[3] PI. Incremental Learning for the Knowledge Recommender System. Granted by the Ph.D.
Programs Foundation of Ministry of Education of China. 2010-2012
【Academic Part-time Jobs】
[1] Current member of associate for information systems (AIS)
[2] Reviewer of many journals, such as Knowledge-Based Systems, Electronic Commerce Research
and Applications, Pattern Recognition Letters, Neurocomputing, Computers & Industrial
Engineering, Journal of Management Sciences in China, and Pattern Recognition and Artificial
Intelligence.