Explanatory Data Analysis group

Dr. Lincen Yang

Dr. Lincen Yang
Dr. Lincen Yang
Postdoc

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Lincen is a PhD student working on a project titled 'Human-Guided Data Science by Interactive Model Selection', funded by an NWO TOP grant, in which he will combine MDL-based model selection with interactive data mining.

He was previously a Master student of Statistical Sciences (Data Science specialization) at Leiden University. He also did his Master's thesis, titled MDL-based Map Segmentation for Trajectory Mining, in the EDA group. In this project he came up with an extension of the existing 'MDL histogram' method to 2D, which was motivated by an application in trajectory mining. His master thesis was supervised by Dr. Matthijs van Leeuwen, Dr. Mitra Baratchi, and Prof. dr. Peter Grünwald.

Selected recent publications

In press
Yang, L, van der Meijden, S, Arbous, S & van Leeuwen, M Interpretable Machine Learning for Identifying ICU Readmission Risk in Subgroups with Probabilistic Rules. Journal of the American Medical Informatics Association, Oxford Journals
2025
Li, Z, Huang, Q, Zhu, Y, Yang, L, Mohammadi Amiri, M, van Stein, N & van Leeuwen, M Scalable, Explainable and Provably Robust Anomaly Detection with One-Step Flow Matching. In: Proceedings of the Conference on Neural Information Processing Systems (NeurIPS 2025), 2025.
2024
Yang, L & van Leeuwen, M Conditional Density Estimation with Histogram Trees. In: Proceedings of the Conference on Neural Information Processing Systems (NeurIPS 2024), 2024.
website
Yang, L & van Leeuwen, M Human-guided Rule Learning for ICU Readmission Risk Analysis. In: Proceedings of the Workshop on AI and Data Science for Healthcare (AIDSH) at KDD 2024, 2024.