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Di Zhu

20172025

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  • 2024

    Edge Activating Module: Learning edge-To-edge features for mobility flow generation

    Wang, S. & Zhu, D., Nov 18 2024, GeoAI 2024 - Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery. Gao, S., Mai, G., Newsam, S., Yang, L., Lunga, D., Zhu, D., Martins, B. & Arundel, S. (eds.). Association for Computing Machinery, Inc, p. 11-14 4 p. (GeoAI 2024 - Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • 2022

    MetroGAN: Simulating Urban Morphology with Generative Adversarial Network

    Zhang, W., Ma, Y., Zhu, D., Dong, L. & Liu, Y., Aug 14 2022, KDD 2022 - Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2482-2492 11 p. (Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    16 Scopus citations

  • Sensing overlapping geospatial communities from human movements using graph affiliation generation models

    Luo, P. & Zhu, D., Nov 1 2022, Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022. Martins, B., Lunga, D., Gao, S., Newsam, S., Yang, L., Deng, X. & Mai, G. (eds.). Association for Computing Machinery, Inc, p. 1-9 9 p. (Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

  • SHGCN: A hypergraph-based deep learning model for spatiotemporal traffic flow prediction

    Wang, Y. & Zhu, D., Nov 1 2022, Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022. Martins, B., Lunga, D., Gao, S., Newsam, S., Yang, L., Deng, X. & Mai, G. (eds.). Association for Computing Machinery, Inc, p. 30-39 10 p. (Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    9 Scopus citations

  • Towards the intelligent era of spatial analysis and modeling

    Zhu, D., Gao, S. & Cao, G., Nov 1 2022, Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022. Martins, B., Lunga, D., Gao, S., Newsam, S., Yang, L., Deng, X. & Mai, G. (eds.). Association for Computing Machinery, Inc, p. 10-13 4 p. (Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2022).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    6 Scopus citations
  • 2018

    Modelling spatial patterns using graph convolutional networks

    Zhu, D. & Liu, Y., Aug 1 2018, 10th International Conference on Geographic Information Science, GIScience 2018. Griffin, A. L., Winter, S. & Sester, M. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, (Leibniz International Proceedings in Informatics, LIPIcs; vol. 114).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    10 Scopus citations