Scholar
Zhong Li
Google Scholar ID: m5u8VlIAAAAJ
Postdoc, Leiden University
Citations & Impact
Citations
283
H-index
6
i10-index
4
Publications
10
Co-authors
0
Publications
Resume
Academic Achievements
- Publications: Multiple papers accepted by top conferences and journals such as AAAI, NeurIPS, DMKD; Awards: One survey paper on explainable anomaly detection highly cited based on ESI.
Research Experience
- During his PhD, he focused on trustworthy anomaly detection, particularly for complex data like event sequences and graph-structured data in smart manufacturing contexts. His goals were to enhance accuracy, explainability, and generalizability. During his postdoc, he is working on generative AI for Math, with a particular focus on LLM for Optimization Modeling and Flow Matching and Diffusion Models.
Education
- PhD from Leiden University, supervised by Dr. Matthijs van Leeuwen (daily supervisor and promotor) and Prof. Dr. Thomas Bäck (promotor). In 2024, he was a visiting PhD researcher at the DAML group, Technical University of Munich, supervised by Prof. Dr. Stephan Günnemann.
Background
- Research interests: Data Mining and Machine Learning, with a strong interest in AI for Math. Introduction: Currently a guest researcher in Computer Science at Leiden University, affiliated with the EDA Lab.
Miscellany
- Contact: WeChat: DigitalTwinNL, Email: z.li(at)liacs.leidenuniv.nl