Mr Rui Deng
- Demonstrator - School of Geographical & Earth Sciences, Graduate Teaching Assistant - School of Geographical & Earth Sciences (School of Geographical & Earth Sciences)
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Deng, Rui, Li, Ziqi ORCID: https://orcid.org/0000-0002-6345-4347 and Wang, Mingshu
ORCID: https://orcid.org/0000-0001-5260-3143
(2026)
Do foundation models work for geospatial tabular data? An investigation of TabPFN and a proposed enhancement based on geospatial sparse attention.
International Journal of Geographical Information Science,
(Accepted for Publication)
Deng, Rui, Li, Ziqi and Wang, Mingshu ORCID: https://orcid.org/0000-0001-5260-3143
(2025)
Improving the Computational Efficiency and Explainability of GeoAggregator.
In: GeoAI'25 workshop, ACM SIGSPATIAL 2025, Minneapolis, MN, USA, 03-06 Nov 2025,
pp. 120-123.
ISBN 9798400721793
(doi: 10.1145/3764912.3770843)
Deng, Rui, Li, Ziqi and Wang, Mingshu ORCID: https://orcid.org/0000-0001-5260-3143
(2025)
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data.
In: 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, 25 Feb - 04 Mar 2025,
pp. 11572-11580.
ISBN 9781577358978
(doi: 10.1609/aaai.v39i11.33259)
Deng, Rui, Li, Ziqi and Wang, Mingshu ORCID: https://orcid.org/0000-0001-5260-3143
(2025)
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data.
In: 39th Annual AAAI Conference on Artificial Intelligence (AAAI’25), Philadelphia, Pennsylvania, USA, 25 February – 4 March 2025,
pp. 11572-11580.
ISBN 9781577358978
(doi: 10.1609/aaai.v39i11.33259)
Deng, Rui, Li, Ziqi ORCID: https://orcid.org/0000-0002-6345-4347 and Wang, Mingshu
ORCID: https://orcid.org/0000-0001-5260-3143
(2026)
Do foundation models work for geospatial tabular data? An investigation of TabPFN and a proposed enhancement based on geospatial sparse attention.
International Journal of Geographical Information Science,
(Accepted for Publication)
Deng, Rui, Li, Ziqi and Wang, Mingshu ORCID: https://orcid.org/0000-0001-5260-3143
(2025)
Improving the Computational Efficiency and Explainability of GeoAggregator.
In: GeoAI'25 workshop, ACM SIGSPATIAL 2025, Minneapolis, MN, USA, 03-06 Nov 2025,
pp. 120-123.
ISBN 9798400721793
(doi: 10.1145/3764912.3770843)
Deng, Rui, Li, Ziqi and Wang, Mingshu ORCID: https://orcid.org/0000-0001-5260-3143
(2025)
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data.
In: 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, 25 Feb - 04 Mar 2025,
pp. 11572-11580.
ISBN 9781577358978
(doi: 10.1609/aaai.v39i11.33259)
Deng, Rui, Li, Ziqi and Wang, Mingshu ORCID: https://orcid.org/0000-0001-5260-3143
(2025)
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data.
In: 39th Annual AAAI Conference on Artificial Intelligence (AAAI’25), Philadelphia, Pennsylvania, USA, 25 February – 4 March 2025,
pp. 11572-11580.
ISBN 9781577358978
(doi: 10.1609/aaai.v39i11.33259)