Personal profile
Biography
Dr. Yulei Li, an Assistant Professor in School of Computer Science at Northumbria University, specialises in applying AI and machine learning to business challenges. He has co-led two KTP projects using AI to solve business problems. His expertise spans machine learning model development, autonomous agents, large language models and predictive systems.
Research interests
Dr. Yulei Li’s research interests centre around the development and application of Large Language Models (LLMs), machine learning, and big data analytics, with a strong focus on business contexts. He also applies LLMs and AI technologies to real-world industrial challenges through Knowledge Transfer Partnerships, contributing to innovation in organisational wellbeing, obsolescence management, and strategic business processes.
Education/Academic qualification
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure
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Collaborations and top research areas from the last five years
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Leveraging AI to Capture Textual and Visual Elements: Insights for HRM Research and Practice
Liang, Y., Aroles, J. & Li, Y., 30 Mar 2026, (E-pub ahead of print) In: Human Resource Management Journal. p. 1-15 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile10 Downloads (Pure) -
Using large-language models to analyse social media engagement with the public sector communication on circular economy: Evidence from X
Li, Y., Cao, D., Hewitt, M. & Shan, S., 1 Jan 2026, In: Technological Forecasting and Social Change. 222, p. 1-14 14 p., 124400.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)24 Downloads (Pure) -
Augmenting Orbital Debris Identification with Neo4j-Enabled Graph-Based Retrieval-Augmented Generation for Multimodal Large Language Models
Roll, D., Kurt, Z., Li, Y. & Woo, W. L., 26 May 2025, In: Sensors. 25, 11, 34 p., 3352.Research output: Contribution to journal › Article › peer-review
Open AccessFile7 Citations (Scopus)14 Downloads (Pure) -
Frigate: A Novel Dataset Comprising Wide Field of View Astronomical FITS Images of Low Earth Orbit Scenes for Machine Learning Applications
Roll, D. S., Kurt, Z., Li, Y., Dinsley, R. & Woo, W. L., 19 Dec 2025, In: Scientific data. 12, 1, 11 p., 1967.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Downloads (Pure) -
Detect2Interact: Localizing Object Key Field in Visual Question Answering (VQA) with LLMs
Wang, J., Zhu, M., Li, Y., Li, H., Yang, L. & Woo, W. L., 1 May 2024, In: IEEE Intelligent Systems. 39, 3, p. 35-44 10 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile3 Citations (Scopus)26 Downloads (Pure)