Zhong Li is a postdoctoral researcher at GBU (working with Prof. Dr. Zaiwen Wen), focusing on AI for Math. I am also a guest researcher at Leiden University.
I was a postdoctoral researcher at Leiden University (working with Dr. Matthijs van Leeuwen). Before that, I earned my PhD under the supervision of Dr. Matthijs van Leeuwen and Prof. Dr. Thomas Bäck at Leiden University, affiliated with the EDA Lab. In 2024, I also spent time as a visiting PhD researcher in the DAML Group at Technical University of Munich, where I had the pleasure of being advised by Prof. Dr. Stephan Günnemann.
🔗 Personal Website
📚 Google Scholar
I am broadly interested in the domian of Data Mining and Machine Learning, with strong interest in GenAI for Math.
During my Postdoc, I am working on generative AI for Math, with a particular focus on:
- 🍃 LLM for Optimization Modeling
- 🌀 Diffusion Models, Flow Matching
During my PhD, I focused on trustworthy anomaly detection, particularly on complex data such as:
- ⏳ Event sequences
- 🌐 Graph-structured data
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Methodologies:
AI for Math • Unsupervised Learning • Generative Models • Anomaly Detection • Transfer Learning • Explainable AI (XAI) • Graph Neural Networks -
Applications:
Log Analysis • Predictive Maintenance • Digital Twin • AI for Manufacturing • AI for Math