Di Zhu
Orcid: 0000-0002-3237-6032Affiliations:
- University of Minnesota, USA
- Peiking University, Institute of Remote Sensing and GIS, Beijing, China (former)
According to our database1,
Di Zhu
authored at least 25 papers
between 2018 and 2024.
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Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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Bibliography
2024
Next track point prediction using a flexible strategy of subgraph learning on road networks.
Int. J. Geogr. Inf. Sci., October, 2024
A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation.
Inf. Fusion, April, 2024
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024
2023
Correction to: Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions.
GeoInformatica, July, 2023
Int. J. Geogr. Inf. Sci., March, 2023
2022
Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions.
GeoInformatica, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022
SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022
Sensing overlapping geospatial communities from human movements using graph affiliation generation models.
Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022
2021
IEEE Trans. Intell. Transp. Syst., 2021
Sensing Population Distribution from Satellite Imagery Via Deep Learning: Model Selection, Neighboring Effects, and Systematic Biases.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases.
CoRR, 2021
Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London.
Ann. GIS, 2021
2020
Comput. Environ. Urban Syst., 2020
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020
Int. J. Geogr. Inf. Sci., 2020
A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data.
Int. J. Digit. Earth, 2020
2019
J. Vis., 2019
2018
Inferring spatial interaction patterns from sequential snapshots of spatial distributions.
Int. J. Geogr. Inf. Sci., 2018
CoRR, 2018
The Scale Effect on Spatial Interaction Patterns: An Empirical Study Using Taxi O-D data of Beijing and Shanghai.
IEEE Access, 2018
IEEE Access, 2018
Proceedings of the 10th International Conference on Geographic Information Science, 2018