I am Zhong Li, currently a postdoctoral researcher at GBU, working with Prof. Dr. Zaiwen Wen. I am also a guest researcher at Leiden University.
Before that, I was a postdoc at Leiden University with Prof. Dr. Matthijs van Leeuwen. I received my PhD from Leiden University, supervised by Prof. Dr. Matthijs van Leeuwen and Prof. Dr. Thomas Bäck. In 2024, I visited the DAML Group at Technical University of Munich, advised by Prof. Dr. Stephan Günnemann.
My current work is on AI for Math, especially LLMs for optimization modeling. During my PhD, I worked on trustworthy anomaly detection, mainly for logs, event sequences, and graph-structured data.
🔗 Personal Website
📚 Google Scholar
I am broadly interested in Data Mining and Machine Learning.
Currently, I work on:
- LLMs for optimization modeling
- AI for mathematical reasoning
- Diffusion models and flow matching
Previously, I worked on:
- Log and event-sequence anomaly detection
- Graph anomaly detection
- Explainable and robust anomaly detection
- AI for smart manufacturing
Methods
AI for Math • LLM Agents • Optimization Modeling • Unsupervised Learning • Generative Models • Anomaly Detection • Transfer Learning • Explainable AI • Graph Neural Networks
Applications
Operations Research • Log Analysis • Predictive Maintenance • Digital Twin • Smart Manufacturing