1 citations · 1 across the 8 of their papers we have counts for
10 papers
Plan-to-Synthesis: Cross-City Human Mobility Generation via Semantic Latent Flow Matching
Zhoufu Wang, Baoshen Guo, Zhiqing Hong +6
Human mobility generation aims to synthesize realistic point-of-interest (POI) visitation trajectories and has become an important tool for travel behavior modeling, transportation…
BASeg: Boundary-Aware Remote Sensing Segmentation with Structural Penalties
Yuexi Song, Kailai Sun, Zhuoyu Wang +4
Semantic segmentation is a core computer vision task in the remote sensing field, accelerating advancements in ur- ban development, agriculture, ecology, water resources, and envir…
Enhancing the Socioeconomic Understanding of Foundation Models with Urban Mobility
Baoshen Guo, Donghang Li, Zhiqing Hong +4
Foundation models have recently been applied to urban socioeconomic prediction using POI text, satellite imagery, and geospatial descriptions. However, these models mostly rely on…
SENSE: Satellite-based ENergy Synthesis for Sustainable Environment
Kailai Sun, Mingyi He, Heye Huang +5
Urban Building Energy Modeling plays a critical role in achieving the United Nations' Sustainable Development Goals 7 and 11. Although existing studies based on satellite imagery a…
Designing streetscapes from street-view imagery using diffusion models
Yuzhou Chen, Yuebing Liang, Lingqian Hu +4
Street-view imagery (SVI) is widely used to quantify key indicators of urban environment, such as green- ery, sky, or road view indices. However, existing studies largely focus on…
Envisioning global urban development with satellite imagery and generative AI
Kailai Sun, Yuebing Liang, Mingyi He +5
Urban development has been a defining force in human history, shaping cities for centuries. However, past studies mostly analyze such development as predictive tasks, failing to re…
HCDN: A Change Detection Network for Construction Housekeeping Using Feature Fusion and Large Vision Models
Kailai Sun, Zherui Shao, Yang Miang Goh +2
Workplace safety has received increasing attention as millions of workers worldwide suffer from work-related accidents. Despite poor housekeeping is a significant contributor to co…
Overcoming Imbalanced Safety Data Using Extended Accident Triangle
Kailai Sun, Tianxiang Lan, Yang Miang Goh +1
There is growing interest in using safety analytics and machine learning to support the prevention of workplace incidents, especially in high-risk industries like construction and…
Predicting trucking accidents with truck drivers 'safety climate perception across companies: A transfer learning approach
Kailai Sun, Tianxiang Lan, Say Hong Kam +2
There is a rising interest in using artificial intelligence (AI)-powered safety analytics to predict accidents in the trucking industry. Companies may face the practical challenge,…
An interpretable clustering approach to safety climate analysis: examining driver group distinction in safety climate perceptions
Kailai Sun, Tianxiang Lan, Yang Miang Goh +4
The transportation industry, particularly the trucking sector, is prone to workplace accidents and fatalities. Accidents involving large trucks accounted for a considerable percent…