Publications (20)
Big Models: From Beijing to the whole China
Ying Long, Kang Wu, Jianghao Wang +1
This paper propose the concept of big model as a novel research paradigm for regional and urban studies. Big models are fine-scale regional/urban simulation models for a large geog…
GenAI Models Capture Urban Science but Oversimplify Complexity
Yecheng Zhang, Rong Zhao, Zimu Huang +3
Generative artificial intelligence (GenAI) models are increasingly used for scientific data generation, yet their alignment with empirical knowledge in urban science remains unclea…
Profiling underprivileged residents with mid-term public transit smartcard data of Beijing
Ying Long, Xingjian Liu, Jiangping Zhou +1
Mobility of economically underprivileged residents in China has seldom been well profiled due to privacy issue and the characteristics of Chinese over poverty. In this paper, we id…
Leveraging Multi-Source Textural UGC for Neighbourhood Housing Quality Assessment: A GPT-Enhanced Framework
Qiyuan Hong, Huimin Zhao, Ying Long
This study leverages GPT-4o to assess neighbourhood housing quality using multi-source textural user-generated content (UGC) from Dianping, Weibo, and the Government Message Board.…
GaRField++: Reinforced Gaussian Radiance Fields for Large-Scale 3D Scene Reconstruction
Hanyue Zhang, Zhiliu Yang, Xinhe Zuo +3
This paper proposes a novel framework for large-scale scene reconstruction based on 3D Gaussian splatting (3DGS) and aims to address the scalability and accuracy challenges faced b…
Early Birds, Night Owls,and Tireless/Recurring Itinerants: An Exploratory Analysis of Extreme Transit Behaviors in Beijing, China
Ying Long, Xingjian Liu, Jiangping Zhou +1
This paper seeks to understand extreme public transit riders in Beijing using both traditional household survey and emerging new data sources such as Smart Card Data (SCD). We focu…
Combining smart card data and household travel survey to analyze jobs-housing relationships in Beijing
Ying Long, Jean-Claude Thill
Location Based Services (LBS) provide a new perspective for spatiotemporally analyzing dynamic urban systems. Research has investigated urban dynamics using GSM (Global System for…
The Alignment Paradox of Medical Large Language Models in Infertility Care: Decoupling Algorithmic Improvement from Clinical Decision-making Quality
Dou Liu, Ying Long, Sophia Zuoqiu +8
Large language models (LLMs) are increasingly adopted in clinical decision support, yet aligning them with the multifaceted reasoning pathways of real-world medicine remains a majo…
Performance Evaluation of Lightweight Open-source Large Language Models in Pediatric Consultations: A Comparative Analysis
Qiuhong Wei, Ying Cui, Mengwei Ding +7
Large language models (LLMs) have demonstrated potential applications in medicine, yet data privacy and computational burden limit their deployment in healthcare institutions. Open…
Perspectives on stability and mobility of transit passenger's travel behaviour through smart card data
Zhiyong Cui, Ying Long
Existing studies have extensively used spatiotemporal data to discover the mobility patterns of various types of travellers. Smart card data (SCD) collected by the automated fare c…
Discovering functional zones using bus smart card data and points of interest in Beijing
Haoying Han, Xiang Yu, Ying Long
Cities comprise various functional zones, including residential, educational, commercial zones, etc. It is important for urban planners to identify different functional zones and u…
Mapping parcel-level urban areas for a large geographical area
Ying Long, Yao Shen
As a vital indicator for measuring urban development, urban areas are expected to be identified explicitly and conveniently with widely available dataset thereby benefiting the pla…
Evaluating the Feasibility and Accuracy of Large Language Models for Medical History-Taking in Obstetrics and Gynecology
Dou Liu, Ying Long, Sophia Zuoqiu +2
Effective physician-patient communications in pre-diagnostic environments, and most specifically in complex and sensitive medical areas such as infertility, are critical but consum…
CMAB: A First National-Scale Multi-Attribute Building Dataset in China Derived from Open Source Data and GeoAI
Yecheng Zhang, Huimin Zhao, Ying Long
Rapidly acquiring three-dimensional (3D) building data, including geometric attributes like rooftop, height and orientations, as well as indicative attributes like function, qualit…
Culturally uneven urban perception in large language models
Rong Zhao, Wanqi Liu, Zhizhou Sha +3
Large language models (LLMs) are increasingly used to describe and evaluate cities, yet the cultural structure of their urban judgments remains understudied. Here we introduce a me…
Reliability of Large Language Model Generated Clinical Reasoning in Assisted Reproductive Technology: Blinded Comparative Evaluation Study
Dou Liu, Ying Long, Sophia Zuoqiu +6
Creating high-quality clinical Chains-of-Thought (CoTs) is crucial for explainable medical Artificial Intelligence (AI) while constrained by data scarcity. Although Large Language…
Automated identification and characterization of parcels (AICP) with OpenStreetMap and Points of Interest
Ying Long, Xingjian Liu
Against the paucity of urban parcels in China, this paper proposes a method to automatically identify and characterize parcels (AICP) with OpenStreetMap (OSM) and Points of Interes…
Population spatialization and synthesis with open data
Ying Long, Zhenjiang Shen
Individuals together with their locations & attributes are essential to feed micro-level applied urban models (for example, spatial micro-simulation and agent-based modeling) for p…
Simulating urban expansion in the parcel level for all Chinese cities
Ying Long, Kang Wu, Qizhi Mao
Large-scale models are generally associated with big modelling units in space, like counties or super grids (several to dozens km2). Few applied urban models can pursue large-scale…
Enhancing the sensing power of bike-sharing system for urban environment
Wen Ji, Ke Han, Qi Hao +2
The development of smart cities requires innovative sensing solutions for efficient and low-cost urban environment monitoring. Bike-sharing systems, with their wide coverage, flexi…