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Ke Li is a UKRI Future Leaders Fellow and Senior Lecturer in Computer Science at the University of Exeter. He has been working at the intersection between evolutionary computation and traditional disciplinary including mathematical programming, game theory and statistics for more than ten years. His current research interests include the evolutionary multi-objective optimisation, automatic problem solving, machine learning and applications in software engineering and water infrastructure planning and management.
|ICSE 2020||Understanding the Automated Parameter Optimization on Transfer Learning for Cross-Project Defect Prediction: An Empirical Study|
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