Welcome!
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.
News
- [May. 2024] I gave a talk at the Swiss Transport Research Conference (STRC) titled Towards realistic individual activity location demand synthesis using deep generative networks, with corresponding publication avilabel here. Reach out if you are interested in the topic and want to learn more!
- [Apr. 2024] Our paper Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities was published in Land Use Policy.
- [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.