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Jing Tang

01642 738053
Job title:
Senior Lecturer in Computer Science
School of Computing, Media & the Arts
Computing, Media & the Arts research

About Jing Tang

Jing Tang

Jing Tang
Senior Lecturer in Computer Science, School of Computing, Media & the Arts
T: 01642 738053
Research: Computing, Media & the Arts research

Dr. Tang is a Lecturer in the School of Computing at Teesside University. She received her PhD on Computational Intelligence from Nanyang Technological University (NTU), Singapore. She then worked as a research fellow in the Intelligent System Centre at NTU, and then as a Business Intelligence Consultant in a world-leading wind power company where she conducted data modelling, management, analysis and visualization in a large scale of practical settings. Jing continues the research by actively collaborating with academic researchers. 

Research interests

  • Artificial Intelligence, Computational Intelligence, Evolutionary Optimization, Complex Design Optimization
  • Machine learning, Game AI
  • Big Data Analytics, Data Mining, Distributed Computing 


Selected Publications: 

1. S. Wan, F. Wang, G. Xu, J. Tang, "An Intuitionistic Fuzzy Programming Method for Group Decision Making with Interval-valued Fuzzy Preference Relations", Fuzzy Optimization and Decision Making, 2016. 

2.  Y.F. Zeng, X.F. Chen, Y.S. Ong, J. Tang, Y.P. Xiang, ‘’Structured Memetic Automation for Online Human-like Social Behavior Learning’’, IEEE Transactions on Evolutionary Computation, 2016. 

3. B. L. Chen, S. B. Yu, J. Tang, ‘’Dilemma of Personal Recommendation in Location-based Social Networks’’, In the Twelfth International Workshop on Agents and Data Mining Interaction, 2016.

4. R. Conroy, Y.F. Zeng, M. Cavazza, J. Tang, Y. H. Pan, ‘’A Value Equivalence Approach for Solving Interactive Dynamic Influence Diagrams”, In the Fifteenth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), 2016. 

5. R. Conroy, Y.F. Zeng, J. Tang ‘’Approximating Value Equivalence Approach for Solving Interactive Dynamic Influence Diagrams Through Behavioral Coverage”, In International Joint Conference on Artificial Intelligence (IJCAI), 2016. 

6. Y. H. Pan, Y. K. Chen, J. Tang, ‘’Interactive Dynamic Influence Diagrams for Relational Agents’’, IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, 2015.

7. J. Tang, M.H. Lim and Y.S. Ong, “Diversity-Adaptive Parallel Memetic Algorithm for Solving Large Scale Combinatorial Optimization Problems”, Soft Computing, Volume 11, Issue 9, pp 873-888, 2006. 

8. J. Tang, M.H. Lim, Y.S. Ong and M.J. Er “Parallel Memetic Algorithm with Selective Local Search for Large Scale Quadratic Assignment Problems”, International Journal of Innovative Computing, Information and Control, Vol.2, No.6, pp. 1399-1416, 2006. 

9. J. Tang, M.H. Lim and Y.S. Ong, “Adaptation for Parallel Memetic Algorithm Based on Population Entropy”, Genetic and Evolutionary Computation Conference (GECCO’06), pp 575-582, 2006. (Nominated for Best Paper Award).

View Jing Tang's Publications on TeesRep