Deepurbanevent: A system for predicting citywide crowd dynamics at big events

R Jiang, X Song, D Huang, X Song, T Xia… - Proceedings of the 25th …, 2019 - dl.acm.org
Event crowd management has been a significant research topic with high social impact.
When some big events happen such as an earthquake, typhoon, and national festival, crowd …

Spatio-temporal urban knowledge graph enabled mobility prediction

H Wang, Q Yu, Y Liu, D Jin, Y Li - Proceedings of the ACM on interactive …, 2021 - dl.acm.org
With the rapid development of the mobile communication technology, mobile trajectories of
humans are massively collected by Internet service providers (ISPs) and application service …

Habit2vec: Trajectory semantic embedding for living pattern recognition in population

H Cao, F Xu, J Sankaranarayanan… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Recognizing representative living patterns in population is extremely valuable for urban
planning and decision making. Thanks to the growing popularity of location-based …

Semantic-aware spatio-temporal app usage representation via graph convolutional network

Y Yu, T Xia, H Wang, J Feng, Y Li - … of the ACM on Interactive, Mobile …, 2020 - dl.acm.org
Recent years have witnessed a rapid proliferation of personalized mobile Apps, which
poses a pressing need for user experience improvement. A promising solution is to model …

Metagraph-based life pattern clustering with big human mobility data

W Li, H Zhang, J Chen, P Li, Y Yao… - … Transactions on Big …, 2022 - ieeexplore.ieee.org
Life pattern clustering is essential for abstracting the groups' characteristics of daily life
patterns and activity regularity. Based on millions of GPS records, this research proposes a …

Mobility prediction via rule-enhanced knowledge graph

Q Yu, H Wang, Y Liu, D Jin, Y Li, L Zhu… - ACM Transactions on …, 2024 - dl.acm.org
With the rapid development of location acquisition technologies, massive mobile trajectories
have been collected and made available to us, which support a fantastic way of …

Semantics-aware hidden Markov model for human mobility

H Shi, Y Li, H Cao, X Zhou, C Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Understanding human mobility benefits numerous applications such as urban planning,
traffic control, and city management. Previous work mainly focuses on modeling spatial and …

Healthwalks: Sensing fine-grained individual health condition via mobility data

Z Lin, S Lyu, H Cao, F Xu, Y Wei, H Samet… - Proceedings of the ACM …, 2020 - dl.acm.org
Can health conditions be inferred from an individual's mobility pattern? Existing research
has discussed the relationship between individual physical activity/mobility and well-being …

Passive health monitoring using large scale mobility data

Y Zhang, F Xu, T Li, V Kostakos, P Hui… - Proceedings of the ACM on …, 2021 - dl.acm.org
In this paper, we investigate the feasibility of using mobility patterns and demographic data
to predict hospital visits. We collect mobility traces from two thousand users for around two …

Quantifying the causal effect of individual mobility on health status in urban space

Y Zhang, F Xu, T Xia, Y Li - Proceedings of the ACM on Interactive …, 2021 - dl.acm.org
How does individual mobility in the urban environment impact their health status? Previous
works have explored the correlation between human mobility behaviour and individual …