Di Zhu

According to our database, Di Zhu authored at least 23 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation.

Yi Wang, Di Zhu

Inf. Fusion, April, 2024

Uncover the nature of overlapping community in cities.

Peng Luo, Di Zhu

CoRR, 2024

2023

Correction to: Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions.

Di Zhu, Yu Liu, Xin Yao, Manfred M. Fischer

GeoInformatica, July, 2023

A generalized heterogeneity model for spatial interpolation.

Peng Luo, Yongze Song, Di Zhu, Junyi Cheng, Liqiu Meng

Int. J. Geogr. Inf. Sci., March, 2023

2022

Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions.

Di Zhu, Yu Liu, Xin Yao, Manfred M. Fischer

GeoInformatica, 2022

MetroGAN: Simulating Urban Morphology with Generative Adversarial Network.

Weiyu Zhang, Yiyang Ma, Di Zhu, Lei Dong, Yu Liu

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Towards the intelligent era of spatial analysis and modeling.

Di Zhu, Song Gao, Guofeng Cao

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.

Yi Wang, Di Zhu

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.

Peng Luo, Di Zhu

Proceedings of the 5th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2022

2021

Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks.

Xin Yao, Yong Gao, Di Zhu, Ed Manley, Jiaoe Wang, Yu Liu

IEEE Trans. Intell. Transp. Syst., 2021

Sensing Population Distribution from Satellite Imagery Via Deep Learning: Model Selection, Neighboring Effects, and Systematic Biases.

Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou

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.

Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou

CoRR, 2021

Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London.

Nilufer Sari Aslam, Di Zhu, Tao Cheng, Mohamed R. Ibrahim, Yang Zhang

Ann. GIS, 2021

2020

Uncovering inconspicuous places using social media check-ins and street view images.

Fan Zhang, Jinyan Zu, Mingyuan Hu, Di Zhu, Yuhao Kang, Song Gao, Yi Zhang, Zhou Huang

Comput. Environ. Urban Syst., 2020

Mapping Human Activity Volumes Through Remote Sensing Imagery.

Xiaoyue Xing, Zhou Huang, Ximeng Cheng, Di Zhu, Chaogui Kang, Fan Zhang, Yu Liu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Spatial interpolation using conditional generative adversarial neural networks.

Di Zhu, Ximeng Cheng, Fan Zhang, Xin Yao, Yong Gao, Yu Liu

Int. J. Geogr. Inf. Sci., 2020

A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data.

Lun Wu, Ximeng Cheng, Chaogui Kang, Di Zhu, Zhou Huang, Yu Liu

Int. J. Digit. Earth, 2020

2019

Visualizing spatial interaction characteristics with direction-based pattern maps.

Xin Yao, Lun Wu, Di Zhu, Yong Gao, Yu Liu

J. Vis., 2019

2018

Inferring spatial interaction patterns from sequential snapshots of spatial distributions.

Di Zhu, Zhou Huang, Li Shi, Lun Wu, Yu Liu

Int. J. Geogr. Inf. Sci., 2018

Modelling Irregular Spatial Patterns using Graph Convolutional Neural Networks.

Di Zhu, Yu Liu

CoRR, 2018

The Scale Effect on Spatial Interaction Patterns: An Empirical Study Using Taxi O-D data of Beijing and Shanghai.

Shiliang Zhang, Di Zhu, Xin Yao, Ximeng Cheng, Huagui He, Yu Liu

IEEE Access, 2018

A Stepwise Spatio-Temporal Flow Clustering Method for Discovering Mobility Trends.

Xin Yao, Di Zhu, Yong Gao, Lun Wu, Pengcheng Zhang, Yu Liu

IEEE Access, 2018

Modelling Spatial Patterns Using Graph Convolutional Networks (Short Paper).

Di Zhu, Yu Liu

Proceedings of the 10th International Conference on Geographic Information Science, 2018