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Dr Jing Tang

Associate Professor

Department: Newcastle Business School

Dr. Jing Tang 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. She worked as Senior Lecturer in Teesside University before she joined Northumbria University in 2020. Her teaching portfolio includes undergraduate and graduate level courses/modules related to Business Analytics, Machine Learning, Data Management and Visualization, and Decision Making. Her research interests lie in Business Analytics, Artificial Intelligence, Data Analytics, Decision Making, Optimization and Heuristic Algorithms, Social Networks Analysis and Recommender Systems.  

Jing Tang

Dr. Jing Tang 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. She worked as Senior Lecturer in Teesside University before she joined Northumbria University in 2020. Her teaching portfolio includes undergraduate and graduate level courses/modules related to Business Analytics, Machine Learning, Data Management and Visualization, and Decision Making. Her research interests lie in Business Analytics, Artificial Intelligence, Data Analytics, Decision Making, Optimization and Heuristic Algorithms, Social Networks Analysis and Recommender Systems.  

  • Please visit the Pure Research Information Portal for further information
  • Behavioral model summarisation for other agents under uncertainty, Pan, Y., Ma, B., Tang, J., Zeng, Y. 1 Jan 2022, In: Information Sciences
  • Diversifying agent's behaviors in interactive decision models, Pan, Y., Zhang, H., Zeng, Y., Ma, B., Tang, J., Ming, Z. 15 Sep 2022, In: International Journal of Intelligent Systems
  • Tensor decomposition for multi-agent predictive state representation, Ma, B., Chen, B., Zeng, Y., Tang, J., Cao, L. 1 Mar 2022, In: Expert Systems with Applications
  • Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction, Hou, Y., Ong, Y., Tang, J., Zeng, Y. Oct 2021, In: IEEE Transactions on Systems, Man and Cybernetics: Systems
  • Exploiting relational tag expansion for dynamic user profile in a tag-aware ranking recommender system, Pan, Y., Huo, Y., Tang, J., Zeng, Y., Chen, B. 4 Feb 2021, In: Information Sciences
  • Privacy-preserving Point-of-Interest Recommendation Based on Geographical and Social Influence, Huo, Y., Chen, B., Tang, J., Zeng, Y. 8 Jan 2021, In: Information Sciences
  • Tensor optimization with group lasso for multi-agent predictive state representation, Ma, B., Tang, J., Chen, B., Pan, Y., Zeng, Y. 7 Jun 2021, In: Knowledge-Based Systems
  • Toward data-driven solutions to interactive dynamic influence diagrams, Pan, Y., Tang, J., Ma, B., Zeng, Y., Ming, Z. 1 Sep 2021, In: Knowledge and Information Systems
  • Learning a Planning Domain Model from Natural Language Process Manuals, Huo, Y., Tang, J., Pan, Y., Zeng, Y., Cao, L. 17 Aug 2020, In: IEEE Access
  • Value Function Dynamic Estimation in Reinforcement Learning based on Data Adequacy, Gao, H., Pan, Y., Tang, J., Zeng, Y., Chai, P., Cao, L. 3 Jul 2020, Proceedings of the 2020 4th High Performance Computing and Cluster Technologies Conference, HPCCT 2020 and 3rd International Conference on Big Data and Artificial Intelligence, BDAI 2020, Association for Computing Machinery, Inc

Yijing Li Start Date: 01/10/2022

Philosophy PhD May 05 2008


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