Zhong Li - Teaching & Supervision

Leiden University

Fall 2023: Advances in Data Mining (AIDM) (Teachers: Dr. W.J. Kowalczyk and Prof. Dr. A.J. Knobbe)
Fall 2022: Advances in Data Mining (AIDM) (Teacher: Dr. W.J. Kowalczyk)
Fall 2021: Advances in Data Mining (AIDM) (Teacher: Dr. W.J. Kowalczyk)

Tongji University

- Spring 2017: Statistics (Teacher: Prof. Dr. Zhijian Qian)
- Fall 2016: Probability Theory and Mathematical Statistics (Teacher: Prof. Dr. Sili Niu)

Master students

[Position Cancelled]: Knowledge-based & Data-driven Inkjet Jet Failure Detection and Classification, 2024 - 2024 , Leiden University (collaborated with Canon)
Yuhang Wang: Unsupervised Model Selection for Graph Representation Learning, December 2023 - July 2024 (Cum Laude), Leiden University
Timo Vos: Predictive Maintenance of Lithography System Using Log Anomaly Detection, December 2023 - August 2024, Leiden University (collaborated with VDL-ETG and ASML)
Yuxuan Zhu: Data-driven inkjet jet failure detection and classification using piezo self-sensing, July 2022 - March 2023 , Leiden University (collaborated with Canon Production Printing) (Now PhD student at Rensselaer Polytechnic Institute)

Bachelor students

Samuel Smulders: Automated feature selection for unsupervised anomaly detection with internal evaluation strategies, February 2023 - July 2023, Leiden University
Milan Luijken: The effects of feature selection on anomaly detection, March 2022 - December 2022, Leiden University

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