I am Ye Hong, currently pursuing a doctoral degree at ETH Zurich, supervised by Martin Raubal and Konrad Schindler. I work in the Mobility Information Engineering (MIE) Lab at the Chair of Geoinformation Engineering, ETH Zurich. Before starting the doctoral journey, I obtained my master’s degree in Geomatic from ETH Zurich and a bachelor’s degree in GIS and RS from Sun Yat-sen University, China.
I have a keen interest in human mobility, urban computing, and network science, with a particular fascination for leveraging computational methods such as ML and DL to address real-world challenges that impact our daily lives. Currently, I am working on predicting and modelling individual human mobility, intending to promote personalized travel options for a smooth transition towards a sustainable transportation system. Read more about my recent projects in Projects.
- [Nov. 2023] Our study on travel mode detection - Evaluating geospatial context information for travel mode detection was published in Journal of Transport Geography.
- [Aug. 2023] Our study Context-aware multi-head self-attentional neural network model for next location prediction was published in Transportation Research Part C.
- [Jul. 2023] Our paper Influence of tracking duration on the privacy of individual mobility graphs was published in Journal of Location Based Services.
- [Jul. 2023] Our paper Predicting mobile users’ next location using the semantically enriched geo-embedding model and the multilayer attention mechanism was published in Computers, Environment and Urban Systems.
- [Jul. 2023] We have a new short paper Predicting visit frequencies to new places accepted at GIScience 2023.
- [Jan. 2023] Our paper Trackintel: An open-source Python library for human mobility analysis was published in Computers, Environment and Urban Systems.
- [Dec. 2022] Our study Conserved quantities in human mobility: from locations to trips was published in Transportation Research Part C.