معرفی
Jun. Prof. Dr. Ziyue Li is a Junior Professor in Machine Learning in Smart Markets at the Information Systems Department of WiSo Faculty, University of Cologne, Germany (2022–present). They also serve as Chief Machine Learning Scientist at EWI, Germany. Their academic career includes researcher positions at Hong Kong Science and Technology Park Corporation/SenseTime (2021–2022), Nokia Bell Labs (2019), and doctoral studies at The Hong Kong University of Science and Technology (2017–2021).
Dr. Li's research focuses on high-dimensional data mining, machine learning, and smart mobility. Their work combines tensor analysis, graph modeling, and spatiotemporal prediction to solve complex problems in transportation systems and data analytics. They have developed innovative approaches for passenger flow prediction and travel pattern analysis.
Their publications demonstrate a strong focus on tensor-based machine learning methods applied to mobility data. Key trends include
- Integration of graph theory with tensor decomposition
- Development of spatiotemporal prediction models
- Applications in urban transportation analytics
- Hybrid transfer learning approaches
- Multi-clustering methods for travel pattern analysis
- Data completion techniques for complex networks
Scientific recognition includes
- Multiple INFORMS Data Mining Section awards
- IEEE CASE Best Conference Paper Award
- Hong Kong Ph.D. Fellowship Scholarship
- HKUST Excellent Research Award
- Three Minute Thesis Competition recognition
