xiao-shaw.li@polyu.edu.hk
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Dr Xiao Li is an Assistant Professor in the Department of Land Surveying and Geo-Informatics (LSGI) at The Hong Kong Polytechnic University (PolyU). He is also an Honorary Research Associate at the Transport Studies Unit (TSU), University of Oxford. Prior to joining PolyU, he worked as a Senior Researcher at TSU (2022-2025) and a 'Bryan Warren' Junior Research Fellow at Linacre College, Oxford (2023-2025). Dr Li received his PhD in Geography (GIS Transport) from Texas A&M University in 2019.
His research lies at the intersection of Geographic Information Science (GIS), Spatial Data Science, and Transport Geography, a niche where he explores questions about road safety, the consequences of new technologies and policies for transport systems, and social inequalities in everyday mobility.
Assistant Professor, Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University (Sep 2025 - Present)
Honorary Research Associate, Transport Studies Unit, School of Geography and the Environment, University of Oxford (Sep 2025 - Present)
Senior Researcher, Transport Studies Unit, School of Geography and the Environment, University of Oxford (Sep 2022 - Aug 2025)
'Bryan Warren' Junior Research Fellow, Linacre College, University of Oxford (Sep 2023 - Aug 2025)
Associate Transportation Researcher, Mobility Analysis Program, Texas A&M Transportation Institute (Sep 2020 - Aug 2022)
Postdoctoral Researcher, Safe-D University Transportation Centre, Texas A&M Transportation Institute (Apr 2020 - Aug 2020)
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BS (Harbin Institute of Technology (HIT) 2022 ); MS (Harbin Institute of Technology, Shenzhen 2025)
Kezhou Ren received his BS degree from HIT in 2022 and a MS degree from HIT Shenzhen in 2025. His research leverages multimodal data fusion, MLLMs and RL to analyze urban transportation patterns and shared mobility.
BS (China University of Geosciences, Beijing 2024); MS (Imperial College London 2025)
Yuchen Yang is currently a PhD student at The Hong Kong Polytechnic University, with research interests in intelligent transportation, smart cities, and GeoAI.