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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.
|ASE 2020||BiLO-CPDP: Bi-Level Programming for Automated Model Discovery in Cross-Project Defect Prediction|
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