Sledovat
Xiaowei GAO
Xiaowei GAO
PhD in Spacetime Lab, UCL
E-mailová adresa ověřena na: ucl.ac.uk
Název
Citace
Citace
Rok
Experimental study on individual walking speed during emergency evacuation with the influence of ship motion
X Wang, Z Liu, J Wang, S Loughney, Z Yang, X Gao
Physica A: Statistical Mechanics and its Applications 562, 125369, 2021
302021
Multi-scale object detection model for autonomous ship navigation in maritime environment
Z Shao, H Lyu, Y Yin, T Cheng, X Gao, W Zhang, Q Jing, Y Zhao, L Zhang
Journal of Marine Science and Engineering 10 (11), 1783, 2022
112022
Sea-surface object detection based on electro-optical sensors: A review
H Lyu, Z Shao, T Cheng, Y Yin, X Gao
IEEE Intelligent Transportation Systems Magazine 15 (2), 190-216, 2022
112022
Spatio-temporal stratified associations between urban human activities and crime patterns: a case study in San Francisco around the COVID-19 stay-at-home mandate
T Chen, K Bowers, D Zhu, X Gao, T Cheng
Computational urban science 2 (1), 13, 2022
112022
Revealing spatiotemporal transmission patterns and stages of COVID-19 in China using individual patients’ trajectory data
T Cheng, T Lu, Y Liu, X Gao, X Zhang
Computational urban science 1 (1), 9, 2021
92021
Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction
X Jiang, D Zhuang, X Zhang, H Chen, J Luo, X Gao
Proceedings of the 32nd ACM International Conference on Information and …, 2023
62023
A spatiotemporal analysis of the impact of lockdown and coronavirus on London’s bicycle hire scheme: from response to recovery to a new normal
X Gao, H Chen, J Haworth
Geo-spatial Information Science 26 (4), 664-684, 2023
52023
Spatiotemporal graph neural networks with uncertainty quantification for traffic incident risk prediction
X Gao, X Jiang, D Zhuang, H Chen, S Wang, J Haworth
arXiv preprint arXiv:2309.05072, 2023
52023
Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic
T Chen, D Zhu, T Cheng, X Gao, H Chen
PloS one 18 (1), e0277913, 2023
42023
Measures to prevent nosocomial transmissions of COVID-19 based on interpersonal contact data
T Cheng, J Liu, Y Liu, X Zhang, X Gao
Primary Health Care Research & Development 23, e4, 2022
32022
A framework for the optimal deployment of police drones based on street-level crime risk
H Chen, X Gao, H Li, Z Yang
Applied Geography 162, 103178, 2024
22024
Fatigue Detection for Ship OOWs Based on Input Data Features, From the Perspective of Comparison With Vehicle Drivers: A Review
H Lyu, J Yue, W Zhang, T Cheng, Y Yin, X Yang, X Gao, Z Hao, J Li
IEEE Sensors Journal, 2023
22023
Nonlinear control of decarbonization path following underactuated ships
H Zhao, X Gao, Y Zhang, X Zhang
Ocean Engineering 272, 113784, 2023
22023
Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model
J Luo, W Zhang, Y Fang, X Gao, D Zhuang, H Chen, X Jiang
arXiv preprint arXiv:2401.17350, 2024
12024
Uncertainty Quantification in the Road-level Traffic Risk Prediction by Spatial-Temporal Zero-Inflated Negative Binomial Graph Neural Network (STZINB-GNN)
X Gao, J Haworth, D Zhuang, H Chen, X Jiang
12th International Conference on Geographic Information Science (GIScience …, 2023
12023
Do Sentence Transformers Learn Quasi-Geospatial Concepts from General Text?
I Ilyankou, A Lipani, S Cavazzi, X Gao, J Haworth
arXiv preprint arXiv:2404.04169, 2024
2024
Joint prediction of travel mode choice and purpose from travel surveys: A multitask deep learning approach
H Bei, H Chen, L Li, X Gao, Y Xia, Y Sun
Travel Behaviour and Society 33, 100625, 2023
2023
Revealing the relationship between human mobility and urban deprivation using geo-big data: a case study from London in the post-pandemic era
T Chen, X Gao, T Cheng
Geographical Information Science Research UK (GISRUK), 2023
2023
Fatigue Detection for Ship OOWs Based on Input Data Features, from The Perspective of Comparison with Vehicle Drivers: A
H Lyu, J Yue, W Zhang, T Cheng, Y Yin, X Yang, X Gao, Z Hao, J Li
2023
Spatiotemporal analysis of human cycling patterns' changes during weekdays under the COVID-19 lockdown: A case study of London docked shared bicycles
X GAO, J Haworth, H CHEN, P Fernandes
2021
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Články 1–20