About
Yijing Li holds the position of Researcher in the Marketing Operations and Systems Department at Northumbria University. They earned a Doctor of Philosophy (PhD) from Northumbria University, focusing on interdisciplinary research at the intersection of computational methods and marketing analytics.
Research interests include machine learning applications for consumer behavior analysis, data-driven decision-making in marketing, and optimization techniques in computational intelligence. Their work bridges artificial intelligence with practical business challenges, particularly leveraging advanced algorithms for feature selection and predictive modeling.
Recent publications (2025) highlight contributions to feature selection via coevolutionary methods and consumer preference modeling using MulVAEK, demonstrating expertise in both algorithmic innovation and applied marketing analytics. These studies appear in journals like Swarm and Evolutionary Computation and IEEE Computational Intelligence Magazine.
No scientific awards or grants are explicitly listed, though their research outputs indicate active participation in academic publishing. No advisees or lab affiliations are mentioned in the provided data.
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