Fan Zhang

Orcid: 0000-0002-3643-018X

Affiliations:
  • Hong Kong University of Science and Technology
  • Massachusetts Institute of Technology, Senseable City Lab, Cambridge, MA, USA (2018 - 2022)
  • Peking University, Institute of Remote Sensing and Geographical Information System, Beijing, China (2017 - 2018)
  • Chinese University of Hong Kong, Institute of Space and Earth Information Science, Hong Kong (PhD 2017)


According to our database1, Fan Zhang authored at least 30 papers between 2016 and 2024.

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Bibliography

2024
A Transformer-Based Multimodal Model for Urban-Rural Fringe Identification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

Assessing heat vulnerability in Philadelphia using geographically weighted principal component analysis (GWPCA): A geospatial big data-driven approach.
Int. J. Appl. Earth Obs. Geoinformation, 2024

2023
Comprehensive urban space representation with varying numbers of street-level images.
Comput. Environ. Urban Syst., December, 2023

GreenScan: Towards large-scale monitoring the health of urban trees using mobile sensing.
CoRR, 2023

Multi-task deep learning for large-scale building detail extraction from high-resolution satellite imagery.
CoRR, 2023

UPDExplainer: an Interpretable Transformer-based Framework for Urban Physical Disorder Detection Using Street View Imagery.
CoRR, 2023

Urban Visual Intelligence: Studying Cities with AI and Street-level Imagery.
CoRR, 2023

2022
A monocular visual SLAM system augmented by lightweight deep local feature extractor using in-house and low-cost LIDAR-camera integrated device.
Int. J. Digit. Earth, December, 2022

Connect the last mile - textual entailment identify efforts in bridging the digital divide.
Urban Inform., 2022

Rhythm of Transit Stations - Uncovering the Activity-Travel Dynamics of Transit-Oriented Development in the U.S.
IEEE Trans. Intell. Transp. Syst., 2022

STICC: a multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity.
Int. J. Geogr. Inf. Sci., 2022

A Saliency-Guided Street View Image Inpainting Framework for Efficient Last-Meters Wayfinding.
CoRR, 2022

Deep Roof Refiner: A detail-oriented deep learning network for refined delineation of roof structure lines using satellite imagery.
Int. J. Appl. Earth Obs. Geoinformation, 2022

Multi-scale attention integrated hierarchical networks for high-resolution building footprint extraction.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Places for play: Understanding human perception of playability in cities using street view images and deep learning.
Comput. Environ. Urban Syst., 2021

LADV: Deep Learning Assisted Authoring of Dashboard Visualizations From Images and Sketches.
IEEE Trans. Vis. Comput. Graph., 2021

Evaluating healthcare resource inequality in Beijing, China based on an improved spatial accessibility measurement.
Trans. GIS, 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

Emotional habitat: mapping the global geographic distribution of human emotion with physical environmental factors using a species distribution model.
Int. J. Geogr. Inf. Sci., 2021

Sensing population distribution from satellite imagery via deep learning: model selection, neighboring effect, and systematic biases.
CoRR, 2021

Automatic Building Age Prediction from Street View Images.
Proceedings of the 7th IEEE International Conference on Network Intelligence and Digital Content, 2021

2020
Uncovering inconspicuous places using social media check-ins and street view images.
Comput. Environ. Urban Syst., 2020

Mapping Human Activity Volumes Through Remote Sensing Imagery.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Spatial interpolation using conditional generative adversarial neural networks.
Int. J. Geogr. Inf. Sci., 2020

A review of urban physical environment sensing using street view imagery in public health studies.
Ann. GIS, 2020

2019
A regionalization method for clustering and partitioning based on trajectories from NLP perspective.
Int. J. Geogr. Inf. Sci., 2019

Quantifying Legibility of Indoor Spaces Using Deep Convolutional Neural Networks: Case Studies in Train Stations.
CoRR, 2019

2018
Representing place locales using scene elements.
Comput. Environ. Urban Syst., 2018

Framework for Virtual Cognitive Experiment in Virtual Geographic Environments.
ISPRS Int. J. Geo Inf., 2018

2016
Indoor Space Recognition using Deep Convolutional Neural Network: A Case Study at MIT Campus.
CoRR, 2016


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