Xinglei Wang

About Me

Hello, I am currently a PhD candidate at SpaceTimeLab, CEGE, UCL, co-supervised by Prof. Tao Cheng and Dr. Stephen Law. I also serve as an Associate Lecturer (Teaching) in GeoAI; details regarding my appointment and taught modules can be found on my UCL profile page. I was first exposed to scientific research during my master’s study, where I was supervised by Prof. Huayi Wu and Prof. Xuefeng Guan and finished my first research project, which is about deep learning-based short-term traffic forecasting. After that, my interests in deep learning and graph neural networks took me to SpaceTimeLab, where my research expanded into many fields in urban analytics. Over the past few years, I have worked on several data-driven projects, including UK high street footfall analysis, mobile location data-based human activity profiling, LLM-based human mobility prediction, and representation learning of urban spaces.

Looking forward, I will continue focusing on developing computational method for various urban analytics problems/tasks and investigating fundamental problems in GeoAI.

I am open to collaborations and external opportunities. Apart from my current supervisors, my other collaborators include Dr. Meng Fang, Dr. Lu Yin, and Dr. Weiming Huang, etc. I have also been working closely with my fellow PhD students here at UCL, including Zichao Zeng, Junyuan Liu, Natchapon Jongwiriyanurak, June Moh Goo, Ilya Ilyankou, and Xianghui Zhang, to name a few.

My current research topics include:

• GeoAI: representation learning (with a focus on geospatial data), geospatial foundation models
• Data Mining: spatial data mining, spatio-temporal data mining

News

• [Dec. 2025] I have been appointed as an Associate Lecturer (Teaching) at CEGE, UCL.
• [Aug. 2025] A paper about individuals’ mobility prediction has been accepted as a full paper in SIGSPATIAL 2025 Application Track (acceptance rate: 28%).
• [Apr. 2025] A paper about urban space representation learning has been published in CEUS.
• [Apr. 2025] A paper that I co-authored has been accepted by GIScience 2025.
• [Nov. 2024] I have recently given a ligtning talk at Turing Urban Analytics Meeting - Transforming Urban Living with AI and Digital Twins held in Glasgow, UK.
• [Oct. 2024] A presentation given at Google Transport AI conference.
• [Apr. 2024] An oral presentation given at GISRUK 2024. Conference Program here.

Publications

Teaching

Associate Lecturer (Teaching)

• CEGE0004 Machine Learning for Data Science
• CEGE0042 Spatial-Temporal Data Analysis and Data Mining

Guest Lecturer

• BENV0159 Machine Learning and Predictive Data Analytics (one-off lecture)
• CEGE0042 Spatial-Temporal Data Analysis and Data Mining (one-off lecture)
• BENV0093 Spatial Analysis and Energy Data(one-off lecture)

Teaching Assistant

• CASA0006 Data Science for Spatial Systems, Centre for Advanced Spatial Analysis, UCL | 2022–2025
• BENV0159 Machine Learning and Predictive Data Analytics, Bartlett School of Environment, Energy and Resources, UCL | 2024
• CASA0007 Quantitative Method, Centre for Advanced Spatial Analysis, UCL | 2023 Winter

Services

Conference Program Committe/Reviewer

• ACM SIGSPATIAL 2025

Journal Reviewer

• Annals of GIS
• Building and Environment
• Computers, Environment and Urban Systems
• Computational Urban Science
• IEEE Transactions on Intelligent Transportation Systems
• International Journal of Geographical Information Science
• Information Processing & Management
• Neurocomputing
• The Innovation Geoscience

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