AI4City

Research

Our research is being conducted in two aspects. Firstly, a 3D city scene environment (including structured LoDs building models, infrastructures, land covers, etc.) reconstruction framework is being built on which any geo-referenced objects model at the instance level can be founded. Secondly, it is being studied how GIS, IoT data can be modeled in an nD way accordingly for specific application fields (e.g., built-environment, human dynamic, public health, urban climate, etc.)

Highlighted

Open collaborative writing with Manubot
Open collaborative writing with Manubot
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128
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All

2024

Multi-source tri-environmental conceptual framework for fire impact analysis
Multi-source tri-environmental conceptual framework for fire impact analysis
Zongrong Li, Qiluo Li, Haiyang Li, Siqin Wang, Yi Qi
Urban Informatics  ·  09 Dec 2024  ·  doi:10.1007/s44212-024-00063-7

2023

2020

Open collaborative writing with Manubot
Open collaborative writing with Manubot
Daniel S. Himmelstein, Vincent Rubinetti, David R. Slochower, Dongbo Hu, Venkat S. Malladi, Casey S. Greene, Anthony Gitter
PLOS Computational Biology  ·  04 Dec 2020  ·  doi:10.1371/journal.pcbi.1007128
Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.
Constructing knowledge graphs and their biomedical applications
Constructing knowledge graphs and their biomedical applications
David N. Nicholson, Casey S. Greene
Computational and Structural Biotechnology Journal  ·  01 Jan 2020  ·  doi:10.1016/j.csbj.2020.05.017

2018

Sci-Hub provides access to nearly all scholarly literature
Sci-Hub provides access to nearly all scholarly literature
Daniel S Himmelstein, Ariel Rodriguez Romero, Jacob G Levernier, Thomas Anthony Munro, Stephen Reid McLaughlin, Bastian Greshake Tzovaras, Casey S Greene
eLife  ·  01 Mar 2018  ·  doi:10.7554/eLife.32822