Tianhong Zhao

Orcid: 0000-0002-9290-2049

According to our database1, Tianhong Zhao authored at least 22 papers between 2019 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2026
ST-Camba: A decoupled-free spatiotemporal graph fusion state space model with linear complexity for efficient traffic forecasting.
Inf. Fusion, 2026

2025
Planning for Cooler Cities: A Multimodal AI Framework for Predicting and Mitigating Urban Heat Stress through Urban Landscape Transformation.
CoRR, July, 2025

Urban Representation Learning for Fine-grained Economic Mapping: A Semi-supervised Graph-based Approach.
CoRR, May, 2025

OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery.
CoRR, April, 2025

Quantifying seasonal bias in street view imagery for urban form assessment: A global analysis of 40 cities.
Comput. Environ. Urban Syst., 2025

ZenSVI: An open-source software for the integrated acquisition, processing and analysis of street view imagery towards scalable urban science.
Comput. Environ. Urban Syst., 2025

Disentangling the hourly dynamics of mixed urban function: A multimodal fusion perspective using dynamic graphs.
Inf. Fusion, 2025

Spatiotemporal Analysis of Urban Vitality and Its Drivers from a Human Mobility Perspective.
ISPRS Int. J. Geo Inf., 2025

SemiGPS: GraphGPS-based Semi-supervised Graph Learning for Sector-Specific GDP Mapping.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Semantics-Guided Dynamic Hypergraph Network for Human Mobility Nowcasting in Disaster.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Graph convolutional networks for street network analysis with a case study of urban polycentricity in Chinese cities.
Int. J. Geogr. Inf. Sci., May, 2024

Deep online recommendations for connected E-taxis by coupling trajectory mining and reinforcement learning.
Int. J. Geogr. Inf. Sci., February, 2024

2023
Incorporating multimodal context information into traffic speed forecasting through graph deep learning.
Int. J. Geogr. Inf. Sci., September, 2023

Sensitivity of measuring the urban form and greenery using street-level imagery: A comparative study of approaches and visual perspectives.
Int. J. Appl. Earth Obs. Geoinformation, August, 2023

Sensing urban soundscapes from street view imagery.
Comput. Environ. Urban Syst., 2023

Developing a multiview spatiotemporal model based on deep graph neural networks to predict the travel demand by bus.
Int. J. Geogr. Inf. Sci., 2023

2022
Coupling graph deep learning and spatial-temporal influence of built environment for short-term bus travel demand prediction.
Comput. Environ. Urban Syst., 2022

Optimizing Living Material Delivery During the COVID-19 Outbreak.
IEEE Trans. Intell. Transp. Syst., 2022

Correction: Yang et al. Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong-Hong Kong-Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data. Remote Sens. 2019, 11, 2215.
Remote. Sens., 2022

2021
Collaboratively inspect large-area sewer pipe networks using pipe robotic capsules.
Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020
OCD: Online Crowdsourced Delivery for On-Demand Food.
IEEE Internet Things J., 2020

2019
Detecting Spatiotemporal Features and Rationalities of Urban Expansions within the Guangdong-Hong Kong-Macau Greater Bay Area of China from 1987 to 2017 Using Time-Series Landsat Images and Socioeconomic Data.
Remote. Sens., 2019


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