Welcome!
I am Ye Hong, currently a postdoctoral researcher at ETH Zurich, working in the Mobility Information Engineering (MIE) Lab at the Chair of Geoinformation Engineering. I obtained my doctoral degree in Geomatics, ETH Zurich, under the supervision of Martin Raubal and Konrad Schindler. Previously, I earned 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 focus on leveraging computational methods such as ML and DL to address real-world challenges that impact daily lives. My current research centers on predicting and modeling individual mobility, with the goal of promoting personalized travel options and supporting a smooth transition toward sustainable transportation systems. Read more about my recent projects in Projects.
News
- [May 2025] I gave a talk at the Swiss Transport Research Conference (STRC) titled Causal Inference for interpretable and robust deep learning in mobility analysis, with corresponding publication available here.
- [May 2025] Our paper A causal intervention framework for synthesizing mobility data and evaluating predictive neural networks was published in Transportation Research Interdisciplinary Perspectives.
- [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 available 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.