Di Zhu - RankMe

43 papers A* 1Journal 31Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Gravity-Informed Spatiotemporal Transformer for Human Activity Intensity Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Yi Wang, Zhenghong Wang, Fan Zhang, Chaogui Kang, Sijie Ruan, Di Zhu, Chengling Tang, Zhongfu Ma, Weiyu Zhang, Yu Zheng, Philip S. Yu, Yu Liu
2026	J	`jnl`	Gravity-informed deep flow inference for spatial evolution modeling in panel data. Int. J. Geogr. Inf. Sci. Di Zhu, Zhongfu Ma
2026	J	`jnl`	Modelling uncertainty in data fusion: a knowledge graph approach. Expert Syst. Appl. Jiaxin Du, Timothy Mugambi, Di Zhu, Braiden Betway, Nancy Odhiambo
2026	J	`jnl`	Uncertainty explanation of artificial intelligence models by SHAP. Knowl. Based Syst. Ximeng Cheng, Tianqi Wang, Di Zhu, Jackie Ma
2025	—	`conf`	A Behavior-Informed and Geo-Context-Aware Home Detection Framework for Mobile Phone Positioning Data. SIGSPATIAL/GIS Ying Song, Meicheng Xiong, Xiaohuan Zeng, Di Zhu
2025	J	`jnl`	A Context-Enhanced Graph Neural Network Operator for Edge-to-Edge Learning in Human Mobility Networks. Trans. GIS Sheng Wang, Di Zhu
2025	—	`conf`	A Deep Origin-Destination Flow Imputation Model Informed by the Visitation Law in Human Mobility. SIGSPATIAL/GIS Sheng Wang, Di Zhu
2025	—	`conf`	A Graph-based Deep Population Downscaling Model on Irregular Spatial Units. GeoAI@SIGSPATIAL Meicheng Xiong, Di Zhu
2025	J	`jnl`	A Gravity-informed Spatiotemporal Transformer for Human Activity Intensity Prediction. CoRR Yi Wang, Zhenghong Wang, Fan Zhang, Chengling Tang, Chaogui Kang, Di Zhu, Zhongfu Ma, Sijie Ruan, Weiyu Zhang, Yu Zheng, Philip S. Yu, Yu Liu
2025	—	`conf`	A Neural Fitting Method for Potential Differential Equations in Urban Dynamics. GeoAI@SIGSPATIAL Zhongfu Ma, Di Zhu
2025	J	`jnl`	Collective flow-evolutionary patterns reveal the mesoscopic structure between snapshots of spatial network. Int. J. Geogr. Inf. Sci. Zhongfu Ma, Di Zhu
2025	J	`jnl`	Inferring human movements after snowfall: a weather-informed graph learning model for flow redistribution in mobility networks. Int. J. Geogr. Inf. Sci. Sheng Wang, Di Zhu
2025	J	`jnl`	Modeling shared e-micromobility as a label propagation process for detecting overlapping communities. Comput. Environ. Urban Syst. Peng Luo, Chengyu Song, Hao Li, Di Zhu, Songhua Hu, Fábio Duarte
2025	J	`jnl`	Modeling shared micromobility as a label propagation process for detecting the overlapping communities. CoRR Peng Luo, Chengyu Song, Hao Li, Di Zhu, Fabio Duarte
2025	—	`ed.`	Proceedings of the 8th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2025, The Graduate Hotel Minneapolis, Minneapolis, MN, USA, November 3-6, 2025 GeoAI@SIGSPATIAL Shawn D. Newsam, Lexie Yang, Song Gao, Di Zhu
2024	J	`jnl`	A hypergraph-based hybrid graph convolutional network for intracity human activity intensity prediction and geographic relationship interpretation. Inf. Fusion Yi Wang, Di Zhu
2024	—	`conf`	Edge Activating Module: Learning edge-to-edge features for mobility flow generation. GeoAI@SIGSPATIAL Sheng Wang, Di Zhu
2024	J	`jnl`	Next track point prediction using a flexible strategy of subgraph learning on road networks. Int. J. Geogr. Inf. Sci. Yifan Zhang, Wenhao Yu, Di Zhu
2024	—	`ed.`	Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI 2024, Atlanta, GA, USA, 29 October 2024 - 1 November 2024 GeoAI@SIGSPATIAL Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024	J	`jnl`	Report of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery (GeoAI 2024). ACM SIGSPATIAL Special Song Gao, Gengchen Mai, Shawn D. Newsam, Lexie Yang, Dalton D. Lunga, Di Zhu, Bruno Martins, Samantha T. Arundel
2024	J	`jnl`	Uncover the nature of overlapping community in cities. CoRR Peng Luo, Di Zhu
2023	J	`jnl`	A generalized heterogeneity model for spatial interpolation. Int. J. Geogr. Inf. Sci. Peng Luo, Yongze Song, Di Zhu, Junyi Cheng, Liqiu Meng
2023	J	`jnl`	Correction to: Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions. GeoInformatica Di Zhu, Yu Liu, Xin Yao, Manfred M. Fischer
2022	A*	`conf`	MetroGAN: Simulating Urban Morphology with Generative Adversarial Network. KDD Weiyu Zhang, Yiyang Ma, Di Zhu, Lei Dong, Yu Liu
2022	J	`jnl`	MetroGAN: Simulating Urban Morphology with Generative Adversarial Network. CoRR Weiyu Zhang, Yiyang Ma, Di Zhu, Lei Dong, Yu Liu
2022	—	`conf`	SHGCN: a hypergraph-based deep learning model for spatiotemporal traffic flow prediction. GeoAI@SIGSPATIAL Yi Wang, Di Zhu
2022	—	`conf`	Sensing overlapping geospatial communities from human movements using graph affiliation generation models. GeoAI@SIGSPATIAL Peng Luo, Di Zhu
2022	J	`jnl`	Spatial regression graph convolutional neural networks: A deep learning paradigm for spatial multivariate distributions. GeoInformatica Di Zhu, Yu Liu, Xin Yao, Manfred M. Fischer
2022	—	`conf`	Towards the intelligent era of spatial analysis and modeling. GeoAI@SIGSPATIAL Di Zhu, Song Gao, Guofeng Cao
2021	J	`jnl`	Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London. Ann. GIS Nilufer Sari Aslam, Di Zhu, Tao Cheng, Mohamed R. Ibrahim, Yang Zhang
2021	J	`jnl`	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. Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou
2021	J	`jnl`	Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases. CoRR Xiao Huang, Di Zhu, Fan Zhang, Tao Liu, Xiao Li, Lei Zou
2021	J	`jnl`	Spatial Origin-Destination Flow Imputation Using Graph Convolutional Networks. IEEE Trans. Intell. Transp. Syst. Xin Yao, Yong Gao, Di Zhu, Ed Manley, Jiaoe Wang, Yu Liu
2020	J	`jnl`	A framework for mixed-use decomposition based on temporal activity signatures extracted from big geo-data. Int. J. Digit. Earth Lun Wu, Ximeng Cheng, Chaogui Kang, Di Zhu, Zhou Huang, Yu Liu
2020	J	`jnl`	Mapping Human Activity Volumes Through Remote Sensing Imagery. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Xiaoyue Xing, Zhou Huang, Ximeng Cheng, Di Zhu, Chaogui Kang, Fan Zhang, Yu Liu
2020	J	`jnl`	Spatial interpolation using conditional generative adversarial neural networks. Int. J. Geogr. Inf. Sci. Di Zhu, Ximeng Cheng, Fan Zhang, Xin Yao, Yong Gao, Yu Liu
2020	J	`jnl`	Uncovering inconspicuous places using social media check-ins and street view images. Comput. Environ. Urban Syst. Fan Zhang, Jinyan Zu, Mingyuan Hu, Di Zhu, Yuhao Kang, Song Gao, Yi Zhang, Zhou Huang
2019	J	`jnl`	Visualizing spatial interaction characteristics with direction-based pattern maps. J. Vis. Xin Yao, Lun Wu, Di Zhu, Yong Gao, Yu Liu
2018	J	`jnl`	A Stepwise Spatio-Temporal Flow Clustering Method for Discovering Mobility Trends. IEEE Access Xin Yao, Di Zhu, Yong Gao, Lun Wu, Pengcheng Zhang, Yu Liu
2018	J	`jnl`	Inferring spatial interaction patterns from sequential snapshots of spatial distributions. Int. J. Geogr. Inf. Sci. Di Zhu, Zhou Huang, Li Shi, Lun Wu, Yu Liu
2018	J	`jnl`	Modelling Irregular Spatial Patterns using Graph Convolutional Neural Networks. CoRR Di Zhu, Yu Liu
2018	—	`conf`	Modelling Spatial Patterns Using Graph Convolutional Networks (Short Paper). GIScience Di Zhu, Yu Liu
2018	J	`jnl`	The Scale Effect on Spatial Interaction Patterns: An Empirical Study Using Taxi O-D data of Beijing and Shanghai. IEEE Access Shiliang Zhang, Di Zhu, Xin Yao, Ximeng Cheng, Huagui He, Yu Liu