Publications

You can also find my articles on my Google Scholar profile and latest CV.

Journal Articles

Revealing behavioral impact on mobility prediction networks through causal intervention

Revealing behavioral impact on mobility prediction networks through causal intervention

Ye Hong, Yanan Xin, Simon Dirmeier, Fernando Perez-Cruz, Martin Raubal

Transportation Research Interdisciplinary Perspectives, 2025

Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities

Is a 15-Minute City Within Reach? Measuring Multimodal Accessibility and Carbon Footprint in 12 Major American Cities

Tanhua Jin, Kailai Wang, Yanan Xin, Jian Shi, Ye Hong, Frank Witlox

Land Use Policy, 2025

Evaluating geospatial context information for travel mode detection

Evaluating geospatial context information for travel mode detection

Ye Hong, Emanuel Stüdeli, Martin Raubal

Journal of Transport Geography, 2023

Context-aware multi-head self-attentional neural network model for next location prediction

Context-aware multi-head self-attentional neural network model for next location prediction

Ye Hong, Yatao Zhang, Konrad Schindler, Martin Raubal

Transportation Research Part C: Emerging Technologies, 2023

Trackintel: An open-source Python library for human mobility analysis

Trackintel: An open-source Python library for human mobility analysis

Henry Martin, Ye Hong, Nina Wiedemann, Dominik Bucher, Martin Raubal

Computers, Environment and Urban Systems, 2023

Conserved quantities in human mobility: From locations to trips

Conserved quantities in human mobility: From locations to trips

Ye Hong, Henry Martin, Yanan Xin, Dominik Bucher, Daniel J Reck, Kay W Axhausen, Martin Raubal

Transportation Research Part C: Emerging Technologies, 2023

Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism

Predicting mobile users' next location using the semantically enriched geo-embedding model and the multilayer attention mechanism

Yao Yao, Zijin Guo, Chen Dou, Minghui Jia, Ye Hong, Qingfeng Guan, Peng Luo

Computers, Environment and Urban Systems, 2023

Influence of tracking duration on the privacy of individual mobility graphs

Influence of tracking duration on the privacy of individual mobility graphs

Nina Wiedemann, Henry Martin, Esra Suel, Ye Hong, Yanan Xin

Journal of Location Based Services, 2023

Hierarchical community detection and functional area identification with OSM roads and complex graph theory

Hierarchical community detection and functional area identification with OSM roads and complex graph theory

Ye Hong, Yao Yao

International Journal of Geographical Information Science, 2019

Estimating China's poverty reduction efficiency by integrating multi-source geospatial data and deep learning techniques

Yao Yao, Jianhua Zhou, Zhenyu Sun, Qingfeng Guan, Zijin Guo, Yin Xu, Jinwei Zhang, Ye Hong, Yun Cai, Range Wang

Geo-Spatial Information Science, 2023

Under the Dome: A 3D Urban Texture Model and Its Relationship with Urban Land Surface Temperature

Qingfeng Guan, Yao Yao, Ting Ma, Ye Hong, Yihong Bie, Jiqin Lyu

Annals of the American Association of Geographers, 2022

Discovering the homogeneous geographic domain of human perceptions from street view images

Yao Yao, Jin Wang, Ye Hong, Chang Qian, Qingfeng Guan, Xiaoyuan Liang, Liang Dai, Jinwei Zhang

Landscape and Urban Planning, 2021

Spatiotemporal distribution of human trafficking in China and predicting the locations of missing persons

Yao Yao, Yujie Liu, Qingfeng Guan, Ye Hong, Ruihe Wang, Ruoqi Wang, Xiaoyuan Liang

Computers, Environment and Urban Systems, 2021

The Traj2Vec model to quantify residents' spatial trajectories and estimate the proportions of urban land-use types

Jinwei Zhang, Xia Li, Yao Yao, Ye Hong, Jianke He, Zhuanghe Jiang, Jianghao Sun

International Journal of Geographical Information Science, 2021

Analyzing the Effects of Rainfall on Urban Traffic-Congestion Bottlenecks

Yao Yao, Dengwei Wu, Ye Hong, Di Chen, Zhengyu Liang, Qingfeng Guan, Liu Xun, Liang Dai

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020

Exploring the spatial differentiation of urbanization on two sides of the Hu Huanyong Line – based on nighttime light data and cellular automata

Di Chen, Yatao Zhang, Yao Yao, Ye Hong, Qingfeng Guan

Applied Geography, 2019

Fine-scale intra- and intercity commercial store site recommendations via multisource big data

Yao Yao, Pinde Liu, Ye Hong, Zhengyu Liang, Ruoqi Wang, Qingfeng Guan, Jin Chen

Transactions in GIS, 2019

Mining transition rules of cellular automata for simulating urban expansion by using the deep learning techniques

Jianke He, Xia Li, Yao Yao, Ye Hong, Jinwei Zhang

International Journal of Geographical Information Science, 2018

Estimating the effects of “community opening” policy on alleviating traffic congestion in large Chinese cities by integrating ant colony optimization and complex network analyses

Yao Yao, Ye Hong, Dengwei Wu, Yatao Zhang, Qingfeng Guan

Computers, Environment and Urban Systems, 2018

Mapping fine–scale urban housing prices by fusing remotely sensed imagery and social media data

Yao Yao, Jinwei Zhang, Ye Hong, Haohuan Liang, Jianke He

Transactions in GIS, 2018

Classifying urban land use by integrating remote sensing and social medias data

Xiaohe Liu, Jianke He, Yao Yao, Jinwei Zhang, Haohuan Liang, Hualiang Wang, Ye Hong

International Journal of Geographical Information Science, 2017

Simulating urban land-use changes at a large scale by integrating dynamic land parcel subdivision and vector-based cellular automata

Yao Yao, Xiaohe Liu, Xia Li, Pinde Liu, Ye Hong, Yatao Zhang, Keli Mai

International Journal of Geographical Information Science, 2017

Conference Proceedings

Predicting visit frequencies to new places

Predicting visit frequencies to new places

Nina Wiedemann, Ye Hong, Martin Raubal

12th International Conference on Geographic Information Science (GIScience), 2023

How do you go where? Improving next location prediction by learning travel mode information using transformers

How do you go where? Improving next location prediction by learning travel mode information using transformers

Ye Hong, Henry Martin, Martin Raubal

30th ACM SIGSPATIAL, 2022

A clustering-based framework for individual travel behaviour change detection

A clustering-based framework for individual travel behaviour change detection

Ye Hong, Yanan Xin, Henry Martin, Dominik Bucher, Martin Raubal

11th International Conference on Geographic Information Science (GIScience), 2021

Causal inference for interpretable and robust deep learning in mobility analysis

Ye Hong, Martin Raubal

25th Swiss Transport Research Conference (STRC), 2025

Towards realistic individual activity location demand synthesis using deep generative networks

Ye Hong, Yatao Zhang, Martin Raubal

24th Swiss Transport Research Conference (STRC), 2024

Influence of tracking duration on the privacy of individual mobility graphs

Henry Martin, Nina Wiedemann, Esra Suel, Ye Hong, Yanan Xin

17th International Conference on Location-Based Services (LBS), 2022

Graph-resnets for short-term traffic forecasts in almost unknown cities

Henry Martin, Dominik Bucher, Ye Hong, Rene Buffat, Christian Rupprecht, Martin Raubal

NeurIPS 2019 Competition and Demonstration Track

Preprints

Deep Generative Model for Human Mobility Behavior

Ye Hong, Yatao Zhang, Konrad Schindler, Martin Raubal

Under Review, 2025

Bidirectional yet asymmetric causality between urban systems and traffic dynamics in 30 cities worldwide

Yatao Zhang, Ye Hong, Song Gao, Martin Raubal

Under Review, 2025

UrbanFusion: Stochastic Multimodal Fusion for Contrastive Learning of Robust Spatial Representations

D. J. Mühlematter, L. Che, Ye Hong, Martin Raubal, Nina Wiedemann

Under Review, 2025

Interpreting Deep Learning Models for Traffic Forecast: A Case Study of UNet

Jin Li, Yanan Xin, Ye Hong, Martin Raubal

Under Review, 2024

Synthetic location trajectory generation using categorical diffusion models

Simon Dirmeier, Ye Hong, Fernando Perez-Cruz

Under Review, 2024

Uncertainty Quantification for Image-based Traffic Prediction across Cities

Aram Timans, Nina Wiedemann, N. Kumar, Ye Hong, Martin Raubal

Under Review, 2023

Uncertainty quantification and out-of-distribution detection using surjective normalizing flows

Simon Dirmeier, Ye Hong, Yanan Xin, Fernando Perez-Cruz

Under Review, 2023