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 Leeuwen, M Probabilistic Truly Unordered Rule Sets. Journal of Machine Learning Research, JMLRwebsite
2026
Shi, J, Yang, L, Li, Z, van Leeuwen, T, Pelt, DM & Batenburg, KJ Efficient Flow Matching for Sparse-View CT Reconstruction. In: Proceedings of the 29th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2026), 2026.website
Gamatié, A, Yang, L & Pimenta, P Rules, Not Rankings: Interpretable AI for Processor Microarchitecture Design Analysis. IEEE Computer Architecture Letters vol.25(1), IEEE, 2026.
Yang, L, Li, Z, van Leeuwen, M & Salehkaleybar, S Learning Subgroups with Maximum Treatment Effects without Causal Heuristics. In: Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026), 2026.
Wang, Z, Yang, L, Ranyal, E, Briessinck, M, Eckelman, MJ, Cao, Z & Hernando, D Computational optimization for low-carbon and circular pavement management at the network level. Resources, Conservation & Recycling vol.225, Elsevier, 2026.
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.
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