Rui Deng
Research title: Advancing Transformer-based models for understanding geospatial tabular data in urban systems
Supervisors
- Dr Mingshu Wang
- Dr Ziqi Li
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Research title: Advancing Transformer-based models for understanding geospatial tabular data in urban systems
Qian, J., Guan, Y., Yang, T., Ruan, A., Yao, W., Deng, R., Wei, Z., Zhang, C. and Guo, S. (2024) The impact of the expansion and contraction of China cities on carbon emissions, 2002–2021, evidence from integrated nighttime light data and city attributes. Remote Sensing, 16(17), 3274. (doi: 10.3390/rs16173274)
Deng, R., Li, Z. and Wang, M. (2024) A Transformer-Based Model for Effective Representation of Geospatial Data and Context. EGU General Assembly 2024, Vienna, Austria, 14-19 April 2024. (doi: 10.5194/egusphere-egu24-1003)
Qian, J., Guan, Y., Yang, T., Ruan, A., Yao, W., Deng, R., Wei, Z., Zhang, C. and Guo, S. (2024) The impact of the expansion and contraction of China cities on carbon emissions, 2002–2021, evidence from integrated nighttime light data and city attributes. Remote Sensing, 16(17), 3274. (doi: 10.3390/rs16173274)
Deng, R., Li, Z. and Wang, M. (2024) A Transformer-Based Model for Effective Representation of Geospatial Data and Context. EGU General Assembly 2024, Vienna, Austria, 14-19 April 2024. (doi: 10.5194/egusphere-egu24-1003)