Long Chen

Long Chen


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    Long Chen is a lecturer at the School of Computing, Mathematics, and Data Science at Coventry University. Prior to joining Coventry, he was a research fellow at the University of Glasgow. Long's research interests include cost-effective AI, digital health, and NLP. He has developed a strong international reputation for his research on cost-effective AI, particularly in the areas of cost and quality joint optimization. Long is among the pioneering researchers who have introduced novel mechanisms to optimize quality and cost in task allocation - a fundamental research issue. His research has resulted in several top conference and journal publications, including WWW, SIGIR, WSDM, CIKM, IEEE Transactions on Big Data, and Computer Journal, among others. The results have been extensively validated using real-world data, demonstrating superior performance.


    Teaching Modules:

    • 7143CEM - Programming for Data Science
    • 7089CEM - Introduction to Statistical Methods for Data Science 
    • 6057CEM - Artificial Neural Networks 


    Research Insterest:

    • AI for Healthcare Studies - Digital Epidemiology, Healthcare IoT
    • NLP - Topic Modelling, Semantic Graph, Question Answering
    • Cost-effective Machine Learning - Active Learning, Multi-task Learning, Contrastive Learning, Transfer Learning



    Education/Academic qualification

    Computer Science, Doctorate, Birkbeck, University of London

    Oct 2009Oct 2013

    Award Date: 30 Jun 2014

    Computer Science, Postgraduate Diploma, Central China Normal University

    Sept 2006Sept 2009

    Computer Science, Degree, Central China Normal University

    Sept 2002Sept 2006


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