My name is Andy Jingqian Xue (θζ―θ°¦) and I am currently an MPhil student at Thrust of Urban Governance and Design of The Hong Kong University of Science and Technology (Guangzhou) under the guidance of Prof. Bin Jiang. Before that, I earned a BSc degree in geographic information science from School of Geography and Planning of Sun Yat-sen University with the mentorship of Prof. Qian Shi and Prof. Da He.
I am deeply interested in the fundamental properties and patterns of geographic features. Consequently, I have developed several GeoAI algorithms that enable models to better learn complex spatial patterns or the so-called spatial heterogeneity, thereby improving the accuracy and model explicability of land use mapping. I am also studying and researching quantitative approaches to modeling urban complexity and spatial patterns. I firmly believe and advocate that the problems of cities lie not only in understanding spatial complexity but also in creating organized complexity to make cities more livable and resilient.
In addition to GeoAI and urban complexity, I am also interested in big data analysis and visualization, human perceptions of urban environments, and urban health. If you are interested in my experiences, please feel free to reach out through andy.j.xue AT hkust-gz.edu.cn.
π Education
- 2023.09 β present, M.Phil. in Urban Governance and Design, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China.
- 2019.09 β 2023.06, B.Sc. in Geogrpahic Information Science, School of Geography and Planning, Sun Yat-sen University, Guangzhou, China.
π» Professional experience
- 2023.07 β 2023.08, Research Assistance in Thrust of Urban Governance and Design, Society Hub, The Hong Kong University of Science and Technology (Guangzhou), Guangzhou, China.
π Publications
- Xue J., Huang C. and Jiang B. (2024), Measuring global urban complexity from the perspective of living structure, Urban Informatics, x(x), xxβxx (under review).
- Xue J., He D., Liu M. and Shi Q. (2022), Dual network structure with interweaved global-local feature hierarchy for transformer-based object detection in remote sensing image, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 15, 6856β6866.
- He D., Shi Q., Xue J. and Liu X. (2024), Explicable sub-pixel mapping based on nested self-attention network with spatial correlation learnable mechanism, in International Geoscience and Remote Sensing Symposium, IEEE: Athens, Greece.
- He D., Shi Q., Xue J., Atkinson P. M. and Liu X. (2023), Very fine spatial resolution urban land cover mapping uUsing an explicable sub-pixel Mapping Network, Remote Sensing of Environment, 299, 113884.
- Shi Q., He D., Liu Z., Liu X. and Xue J. (2023), Globe230k: A benchmark dense-pixel annotation dataset for global land cover mapping, Journal of Remote Sensing, 3, 0078.
π¬ Conference presentations
- 2024.12, Measuring global urban complexity from the perspective of living structure, in Asian Cartographic Conference, International Cartographic Association: Hong Kong SAR, China.