7 citations · 18 across the 11 of their papers we have counts for
11 papers
Perceiving exposure segregation with open urban imagery
Yunke Zhang, Ruolong Ma, Xin Zhang +4
Socioeconomic exposure segregation -- the lack of daily interaction between income groups -- erodes social capital and entrenches inequality, yet the specific physical features tha…
AgentEconomist: An End-to-end Agentic System Translating Economic Intuitions into Executable Computational Experiments
Jiaju Chen, Jinghua Piao, Xia Xu +4
A long-standing challenge in economics lies not in the lack of intuition, but in the difficulty of translating intuitive insights into verifiable research. To address this challeng…
Paper2Data: Large-Scale LLM Extraction and Metadata Structuring of Global Urban Data from Scientific Literature
Runwen You, Tong Xia, Jingzhi Wang +5
Urban data support a wide range of applications across multiple disciplines. However, at the global scale, there is no unified platform for urban data discovery. As a result, resea…
AutoHealth: An Uncertainty-Aware Multi-Agent System for Autonomous Health Data Modeling
Tong Xia, Weibin Li, Gang Liu +1
LLM-based agents have demonstrated strong potential for autonomous machine learning, yet their applicability to health data remains limited. Existing systems often struggle to gene…
AI Urban Scientist: Multi-Agent Collaborative Automation for Urban Research
Tong Xia, Jiankun Zhang, Ruiwen You +8
Urban research aims to understand how cities operate and evolve as complex adaptive systems. With the rapid growth of urban data and analytical methodologies, the central challenge…
Devil in the Landscapes: Inferring Epidemic Exposure Risks from Street View Imagery
Zhenyu Han, Yanxin Xi, Tong Xia +2
Built environment supports all the daily activities and shapes our health. Leveraging informative street view imagery, previous research has established the profound correlation be…
One-shot Transfer Learning for Population Mapping
Erzhuo Shao, Jie Feng, Yingheng Wang +2
Fine-grained population distribution data is of great importance for many applications, e.g., urban planning, traffic scheduling, epidemic modeling, and risk control. However, due…
Deep Reinforcement Learning for Demand Driven Services in Logistics and Transportation Systems: A Survey
Zefang Zong, Jingwei Wang, Tao Feng +3
Recent technology development brings the boom of numerous new Demand-Driven Services (DDS) into urban lives, including ridesharing, on-demand delivery, express systems and warehous…
Reinforced Contact Tracing and Epidemic Intervention
Tao Feng, Sirui Song, Tong Xia +1
The recent outbreak of COVID-19 poses a serious threat to people's lives. Epidemic control strategies have also caused damage to the economy by cutting off humans' daily commute. I…
AttnMove: History Enhanced Trajectory Recovery via Attentional Network
Tong Xia, Yunhan Qi, Jie Feng +4
A considerable amount of mobility data has been accumulated due to the proliferation of location-based service. Nevertheless, compared with mobility data from transportation system…
UrbanRhythm: Revealing Urban Dynamics Hidden in Mobility Data
Sirui Song, Tong Xia, Depeng Jin +2
Understanding urban dynamics, i.e., how the types and intensity of urban residents' activities in the city change along with time, is of urgent demand for building an efficient and…