My name is Zhong Li, and I am a final-year Ph.D. candidate in Computer Science at Leiden University, affiliated with the EDA Lab. I am fortunate to be supervised by Dr. Matthijs van Leeuwen (daily supervisor, promotor) and Prof. Dr. Thomas Bäck (promotor). Moreover, I worked as a visiting PhD researcher in DAML group at Technical University of Munich in 2024, where I am fortunate to be supervised by Prof. Dr. Stephan Günnemann.
I have a broad interest in Data Mining and Machine Learning. During my PhD, my research focused on trustworthy anomaly detection, with a focus on but not limited to complex data types such as event sequences and graph-structured data. More recently, my work has partially shifted towards Diffusion Models and Large Language Models (LLMs).
---Methodologies-Oriented: Unsupervised Machine Learning; Anomaly Detection; Transfer Learning; XAI; Graph Neural Networks ---Applications-Oriented: Log Analysis; Predictive Maintenance; Digital Twin; AI for Manufacturing