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Jing Tang



Research output per year

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Personal profile

Academic Biography

Dr. Tang is a Senior Lecturer in the School of Computing, Engineering & Digital Technologies at Teesside University. She received her PhD in Computational Intelligence from Nanyang Technological University (NTU), Singapore. She previously 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 (Vestas) where she conducted data modelling, management, analysis and visualization in a large scale of practical settings.  

Dr. Tang conducts research on AI, Computational Intelligence and their intersections, where she particularly focuses on evolutionary algorithms and intelligent agent technologies. Recently she works on memetic algorithms, transfer learning and multifactorial evolutionary algorithm, and their applications in computer games and robotics  

Dr. Tang has published around 25 academic articles and most of them appear in the top AI conferences, e.g. IJCAI and AAMAS, and most prestigious journals, e.g. IEEE Trans. Evolutionary Computation, Information Sciences and so on.  

Dr. Tang is a Co-PI of an Innovate UK project and supervises several PhD students in the subjects of AI and Computational Intelligence.  

Selected Projects: 

  1. Collaborative Planning for a Hybrid AUV (Autonomous Underwater Vehicle) Systems, Funded by Innovate UK (09/2019-06/2021, Value: £167,220). 

Selected Publications: 

  1. Yaqing Hou, Yew-Soon Ong, Jing Tang: Evolutionary Multi-Agent Transfer Learning with Model-based Opponent Behavior Prediction, IEEE Transactions on Systems, Man, and Cybernetics: Systems. In Press 2020. 

  2. Yang Liu, Yifeng Zeng, Yingke Chen, Jing Tang, Yinghui Pan: Self-Improving Generative Adversarial Reinforcement Learning. AAMAS 2019: 52-60 

  3. Jing Tang, Yingke Chen, Zixuan Deng, Yanping Xiang, Colin Paul Joy: A Group-based Approach to Improve Multifactorial Evolutionary Algorithm. IJCAI 2018: 3870-3876 

  4. Bilian Chen, Shenbao Yu, Jing Tang, Mengda He, Yifeng Zeng: Using function approximation for personalized point-of-interest recommendation. Expert Syst. Appl. 79: 225-235 (2017) 

  5. Yifeng Zeng, Xuefeng Chen, Yew-Soon Ong, Jing Tang, Yanping Xiang: Structured Memetic Automation for Online Human-Like Social Behavior Learning. IEEE Trans. Evolutionary Computation 21(1): 102-115 (2017) 

Summary of Research Interests

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

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Research Output

  • 6 Article
  • 3 Conference contribution
  • 1 Paper
  • 1 Conference article
Open Access
  • 57 Downloads (Pure)

    Self-Improving Generative Adversarial Reinforcement Learning

    Liu, Y., Zeng, Y., Chen, Y. & Tang, J., 15 May 2019, Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. IFAAMAS, Vol. 1. p. 52-60 ( ACM International Conference on Autonomous Agents and Multiagent Systems. Proceedings ).

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

  • Team Composition in PES2018 using Submodular Function Optimization

    Zeng, Y., Shen, G., Chen, B. & Tang., J., 29 May 2019, In : IEEE Access. 7, 1, p. 76194 - 76202 9 p.

    Research output: Contribution to journalArticle

    Open Access
  • 190 Downloads (Pure)

    An intuitionistic fuzzy programming method for group decision making with interval-valued fuzzy preference relations

    Wan, S-P., Wang, F., Xu, G-L., Dong, J-Y. & Tang, J., 2017, In : Fuzzy Optimization and Decision Making. 16, 3, p. 269–295

    Research output: Contribution to journalArticle

    Open Access
  • 176 Downloads (Pure)

    Group sparse optimization for learning predictive state representations

    Zeng, Y., Ma, B., Chen, B., Tang, J. & He, M., 19 May 2017, In : Information Sciences. p. -

    Research output: Contribution to journalArticle

    Open Access
  • 149 Downloads (Pure)