Dr 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
• An Evolutionary Framework for Modelling Unknown Behaviours of Other Agents, Pan, Y., Ma, B., Zeng, Y., Tang, J., Zeng, B., Ming, Z. 1 Aug 2023, In: IEEE Transactions on Emerging Topics in Computational Intelligence
• Intention recognition for multiple agents, Zhang, Z., Zeng, Y., Jiang, W., Pan, Y., Tang, J. 1 May 2023, In: Information Sciences
• Symmetric Bayesian Personalized Ranking With Softmax Weight, Pan, Y., Ran, Q., Zeng, Y., Ma, B., Tang, J., Cao, L. 1 Jul 2023, In: IEEE Transactions on Systems, Man, and Cybernetics: Systems
• 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. 1 Dec 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

Yijing Li Understanding Consumer Behaviour through Intention Modelling and Recognition Start Date: 01/10/2022

Philosophy PhD May 05 2008