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Xinglei Wang
Observed name:
Wang, Xinglei
Institutions:
Wuhan University,
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,
University College London
Observed institutions:
Wuhan University,
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing,
University College London
ORCID:
0000-0002-9824-7663
Observed ORCID:
0000-0002-9824-7663
OpenAlex ID:
A5087717914
Where Would I Go Next? Large Language Models as Human Mobility Predictors
2023
·
Wang, Xinglei
, Fang, Meng
, et al.
·
arXiv (Cornell University)
·
154
PDF
Forecast network-wide traffic states for multiple steps ahead: A deep learning approach considering dynamic non-local spatial correlation and non-stationary temporal dependency
2020
·
Xinglei Wang
, Xuefeng Guan
, et al.
·
Transportation Research Part C Emerging Technologies
·
52
PDF
Wavelet-HST: A Wavelet-Based Higher-Order Spatio-Temporal Framework for Urban Traffic Speed Prediction
2019
·
Na Zhang
, Xuefeng Guan
, et al.
·
IEEE Access
·
35
PDF
Multi-modal contrastive learning of urban space representations from POI data
2025
·
Xinglei Wang
, Tao Cheng
, et al.
·
Computers Environment and Urban Systems
·
34
Zero-Shot Building Age Classification from Facade Image Using GPT-4
2024
·
Zichao Zeng
, June Moh Goo
, et al.
·
The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences
·
24
A Hybrid Deep Learning-Based Traffic Forecasting Approach Integrating Adjacency Filtering and Frequency Decomposition
2020
·
Jun Cao
, Xuefeng Guan
, et al.
·
IEEE Access
·
16
PDF
A Hybrid Traffic Speed Forecasting Approach Integrating Wavelet Transform and Motif-based Graph Convolutional Recurrent Neural Network
2019
·
Zhang, Na
, Guan, Xuefeng
, et al.
·
arXiv (Cornell University)
·
14
PDF
V-RoAst: Visual Road Assessment Can VLM be a Road Safety Assessor using the iRAP Standard?
2025
·
Natchapon Jongwiriyanurak
, Zichao Zeng
, et al.
·
IEEE International Conference on Computer Vision Workshops
·
7
PDF
CITYREP: A Unified Benchmark for Urban Representations Across Cities, Tasks, and Modalities
2026
·
Liu, Junyuan
, Wang, Xinglei
, et al.
·
arXiv (Cornell University)
·
4
PDF
HSeq2Seq: Hierarchical graph neural network for accurate mobile traffic forecasting
2024
·
Rihui Xie
, Xuefeng Guan
, et al.
·
Information Sciences
·
3
Into the Unknown: Applying Inductive Spatial-Semantic Location Embeddings for Predicting Individuals' Mobility Beyond Visited Places
2025
·
Xinglei Wang
, Tao Cheng
, et al.
·
ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL GIS)
·
2
Enriching Location Representation with Detailed Semantic Information
2025
·
Liu, Junyuan
, Wang, Xinglei
, et al.
·
arXiv (Cornell University)
·
2
PDF
Customer Profiling Based on Mobile Apps GPS Data : A Case Study on Westfield Shopping Malls
2023
·
Fangzhou Zhou
, Xianghui Zhang
, et al.
·
International Conference on Geoinformatics
·
1
PDF
Urban functional knowledge transfer through global representations amid uneven data
2026
·
Liu, Junyuan
, Wang, Xinglei
, et al.
·
arXiv (Cornell University)
PDF
From Urban Mobility to Epidemic Dynamics: A Mixture-of-Experts Framework with Preference Alignment for Policy Scenario Simulation
2026
·
Ye, Yun
, Dezhkam, Arsalan
, et al.
·
arXiv (Cornell University)
PDF
LE4Mob: Towards Inductive, Distance-Aware and General-Purpose Location Embedding for Human Mobility Modelling
2026
·
Wang, Xinglei
, Law, Stephen
, et al.
·
arXiv (Cornell University)
PDF
Modelling daily activity patterns from mobile phone location data via deep representation learning
2026
·
Xinglei Wang
, Junyuan Liu
, et al.
·
SSRN Electronic Journal
Public Attitudes Toward COVID-19 NPIs in Singapore: Insights from Twitter-Based Sentiment and Demographic Analysis
2025
·
Xinglei Wang
, Yanan Yao
, et al.
·
International Conference on Advanced Research Methods and Analytics (CARMA)
PDF
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Works count:
24
Citation count:
366
H-index:
8
I10-index:
8
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