Lixuan An is a PhD student funded through the China Scholarship Council (CSC) for which she was additionally preselected for a special research fund of Ghent University. Her PhD work is around the development of a combined framework of machine learning and extreme value theory to detect anomalous patterns in data sets. Developments are being evaluated on data from climate applications and smart cities.
Experience
During her studies Lixuan was yearly awarded national scholarships and competition prizes as top student of her year. During her PhD she presented her work at several international conferences.
Education
MSc in Statistics
Xi’an Jiaotong University (China, 2021)
Publications
[4] An, L., De Baets, B., and Luca, S. (2025). The extreme value support measure machine for group anomaly detection. Journal of Computational Statistics and Data Analysis. Under review.
[3] An, L., De Baets, B., and Luca, S. (2024). Group anomaly detection for optimizing urban planning of rental bike services. Presented at the 26th International Conference on Computational Statistics, Giessen, Germany. Conference presentation. Aug. 2024.
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[2] An, L., De Baets, B., and Luca, S. (2024). Analyzing patterns of extreme heat events in Europe using extreme value theory. Presented at the 6th International Conference on Advances in Extreme Value Analysis and Applications to Natural Hazards, Venice, Italy. Poster presentation. Jul. 2024.
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[1] An, L., De Baets, B., and Luca, S. (2023). An extreme value support measure machine for group anomaly detection. Presented at the IMS International Conference on Statistics and Data Science, Lisbon, Portugal. Conference presentation. Dec. 2023.
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