About me
Iโm a third-year masterโs student from LIESMARS, Wuhan University.
Advisor: Prof. Luliang Tang.
The rapid development of mobile positioning and computing technologies has led to massive Geographic Big Data, creating unprecedented opportunities for Urban Sensing. My research utilizes geographic big data (especially trajectory data) to address problems in human mobility and complex urban transport systems by developing innovative geospatial analytical methods.
My research is devoted to addressing three main characteristics of geographic big data: High-dimensional, Non-linear, and High-dynamic.
- High-dimensional: We combine GIScience methods with Tensor Theory to deal with high-dimensional spatio-temporal field data.
- Non-linear: We combine GIScience methods with Deep Learning (e.g., Transformer) to reveal the intrinsic structure of complex spatio-temporal data.
- High-dynamic: We break through the two-point form (origin-destination) for flow characterization and innovatively propose Path Flow.
๐ท๏ธ Research interest:
- ๐ซ Human Mobility
- ๐ Geographic Information Science
- ๐๏ธ Urban Informatics
- ๐ Intelligent Transportation Systems
๐ Whatโs New!
- ๐ December 2023. Check our new publication: Diagnosing Urban Traffic Anomalies by Integrating Geographic Knowledge and Tensor Theory in GIScience & Remote Sensing! [Paper]
- ๐ November 2023. Check our new publication: Achieving fine-grained urban flood perception and spatio-temporal evolution analysis based on social media in Sustainable Cities and Society! [Paper]
- ๐ October 2023. Congratulations to Zilong Zhao for receiving the National Scholarship, Ministry of Education of China, 2023.
- ๐ October 2023. Check our new publication: Towards integrated and fine-grained traffic forecasting: A spatio-temporal heterogeneous graph transformer approach in Information Fusion! [Paper]
- ๐๏ธ August 2023. Zilong Zhaoโs presentation won the GSCS&ICUI 2023 Best Presentation Award!
- ๐ August 2023. Check our new publication: Identifying Critical Urban Intersections from a Fine-grained Spatio-Temporal Perspective in Travel Behaviour and Society! [Paper]
- ๐ July 2023. Check our new publication: Toward urban traffic scenarios and more: a spatio-temporal analysis empowered low-rank tensor completion method for data imputation in International Journal of Geographical Information Science! [Paper] [Code]
- ๐๏ธ May 2023. Zilong Zhao presented how to diagnose urban anomalies by combining tensor theory and geographic analysis methods at GIS Annual Conference (2023).
- ๐ December 2022. Urban Sensing and Green Transportation Team (Leader: Zilong Zhao) won the National Third Prize in China Postgraduate โCarbon Peaking and Carbon Neutralityโ Innovation and Creativity Contest.
๐จโ๐ผ For more information๏ผ
More info about Zilong Zhao can be found in CV.