Weilian Li

Computational Methods Lab

HafenCity University Hamburg

Henning-Voscherau-Platz 1, 20457 Hamburg, Germany

Hello, thanks for visiting my homepage!

I am Weilian Li, working in the Computational Methods Lab led by Prof. Dr.-Ing. Youness Dehbi at the HafenCity University Hamburg, Germany. I received my Ph.D. in Geomatics Science and Technology at Southwest Jiaotong University, China, in December 2020. Then, I finished my postdoc research stay in the Geoinformation Group chaired by Prof. Dr.-Ing. Jan-Henrik Haunert at the University of Bonn in October 2023.

My research primarily focuses on the application of Geographic Information Systems (GIS) in disaster management, but also methodological expertise in Machine Learning. I have a strong interest in topics related to smart cities, disaster management, and digital twins.

Additionally, I hold the position of Topic Editor at the journal Big Earth Data and actively contribute to the GIS community as the secretary of the ISPRS ICWG III/IVa on Disaster Management and representative of the UN-GGIM Academic Network.

News

Aug 12, 2024	I’m pleased that our article entitled “Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent Dirichlet allocation” has been accepted for publication by the International Journal of Geographical Information Science.
Jun 11, 2024	Delighted to receive the best paper award in the category Smart People at the 8th International Conference on Smart Data and Smart Cities (SDSC2024) in Athens for our paper entitled “Safety assessment of cycling routes in urban environments”.

Selected Publications

Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent Dirichlet allocation

Weilian Li, Jan-Henrik Haunert, Axel Forsch, and 3 more authors

International Journal of Geographical Information Science, 2024

Bib HTML PDF

@article{li2024informed,
  title = {Informed sampling and recommendation of cycling routes: leveraging crowd-sourced trajectories with weighted-latent Dirichlet allocation},
  author = {Li, Weilian and Haunert, Jan-Henrik and Forsch, Axel and Zhu, Jun and Zhu, Qing and Dehbi, Youness},
  journal = {International Journal of Geographical Information Science},
  pages = {1--22},
  year = {2024},
  publisher = {Taylor \& Francis},
  entrysubtype = {journal},
}

Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization

Weilian Li, Jun Zhu, Qing Zhu, and 3 more authors

International Journal of Geographical Information Science, 2024

Bib HTML PDF

@article{li2024visual,
  title = {Visual attention-guided augmented representation of geographic scenes: a case of bridge stress visualization},
  author = {Li, Weilian and Zhu, Jun and Zhu, Qing and Zhang, Jinbin and Han, Xiao and Dehbi, Youness},
  journal = {International Journal of Geographical Information Science},
  pages = {1--23},
  year = {2024},
  publisher = {Taylor \& Francis},
  entrysubtype = {journal},
}

An augmented representation method of debris flow scenes to improve public perception

Weilian Li, Jun Zhu, Lin Fu, and 3 more authors

International Journal of Geographical Information Science, 2021

Bib HTML PDF

@article{li2021augmented,
  title = {An augmented representation method of debris flow scenes to improve public perception},
  author = {Li, Weilian and Zhu, Jun and Fu, Lin and Zhu, Qing and Xie, Yakun and Hu, Ya},
  journal = {International Journal of Geographical Information Science},
  volume = {35},
  number = {8},
  pages = {1521--1544},
  year = {2021},
  publisher = {Taylor \& Francis},
  doi = {https://doi.org/10.1080/13658816.2020.1833016},
}

A 3D virtual geographic environment for flood representation towards risk communication

Weilian Li, Jun Zhu, Saied Pirasteh, and 4 more authors

International Journal of Applied Earth Observation and Geoinformation, 2024

Bib HTML PDF

@article{li20243d,
  title = {A 3D virtual geographic environment for flood representation towards risk communication},
  author = {Li, Weilian and Zhu, Jun and Pirasteh, Saied and Zhu, Qing and Guo, Yukun and Luo, Lan and Dehbi, Youness},
  journal = {International Journal of Applied Earth Observation and Geoinformation},
  volume = {128},
  pages = {103757},
  year = {2024},
  publisher = {Elsevier},
  entrysubtype = {journal},
}

Social media insights on public perception and sentiment during and after disasters: The European floods in 2021 as a case study

Weilian Li, Jan-Henrik Haunert, Julius Knechtel, and 3 more authors

Transactions in GIS, 2023

Bib HTML PDF

@article{li2023social,
  title = {Social media insights on public perception and sentiment during and after disasters: The European floods in 2021 as a case study},
  author = {Li, Weilian and Haunert, Jan-Henrik and Knechtel, Julius and Zhu, Jun and Zhu, Qing and Dehbi, Youness},
  journal = {Transactions in GIS},
  volume = {27},
  number = {6},
  pages = {1766-1793},
  year = {2023},
  publisher = {Wiley Online Library},
  entrysubtype = {journal},
}