Yunqin Li
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View article: Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks
Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks Open
Villages areas hold significant importance in the study of human-land relationships. However, with the advancement of urbanization, the gradual disappearance of spatial characteristics and the homogenization of landscapes have emerged as p…
View article: A Cognition–Affect–Behavior Framework for Assessing Street Space Quality in Historic Cultural Districts and Its Impact on Tourist Experience
A Cognition–Affect–Behavior Framework for Assessing Street Space Quality in Historic Cultural Districts and Its Impact on Tourist Experience Open
Existing research predominantly focuses on the preservation or renewal models of the physical forms of historic cultural districts, with limited exploration of their roles in stimulating tourists’ cognitive, affective resonance, and behavi…
View article: Geospatial Explainable AI Uncovers Eco-Environmental Effects and Its Driving Mechanisms—Evidence from the Poyang Lake Region, China
Geospatial Explainable AI Uncovers Eco-Environmental Effects and Its Driving Mechanisms—Evidence from the Poyang Lake Region, China Open
Intensified human activities and changes in land-use patterns have led to numerous eco-environmental challenges. A comprehensive understanding of the eco-environmental effects of land-use transitions and their driving mechanisms is essenti…
View article: Preserving architectural heritage in urban renewal: a stable diffusion model framework for automated historical facade generation
Preserving architectural heritage in urban renewal: a stable diffusion model framework for automated historical facade generation Open
View article: Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks
Multi-Modal Feature Fusion for Spatial Morphology Analysis of Traditional Villages via Hierarchical Graph Neural Networks Open
Traditional villages are of great importance for understanding human–environment interactions. However, with the advancement of urbanization, the gradual disappearance of spatial characteristics and the homogenization of landscapes have em…
View article: Multi-Modal Feature Fusion for Rural Spatial Morphology Analysis Using Hierarchy Graph Neural Networks
Multi-Modal Feature Fusion for Rural Spatial Morphology Analysis Using Hierarchy Graph Neural Networks Open
View article: Integrating Multi-Source Urban Data with Interpretable Machine Learning for Uncovering the Multidimensional Drivers of Urban Vitality
Integrating Multi-Source Urban Data with Interpretable Machine Learning for Uncovering the Multidimensional Drivers of Urban Vitality Open
The complexity of urban street vitality is reflected in the interaction of multiple factors. A deep understanding of the multi-dimensional driving mechanisms behind it is crucial to enhancing urban street vitality. However, existing studie…
View article: Vision transformer-enhanced thermal anomaly detection in building facades through fusion of thermal and visible imagery
Vision transformer-enhanced thermal anomaly detection in building facades through fusion of thermal and visible imagery Open
The thermal anomaly detection of building facades is critically important for the evaluation and upkeep of structures. While conventional methods are effective in numerous instances, their capability to discern flaws in complex environment…
View article: Advanced Integration of Urban Street Greenery and Pedestrian Flow: A Multidimensional Analysis in Chengdu’s Central Urban District
Advanced Integration of Urban Street Greenery and Pedestrian Flow: A Multidimensional Analysis in Chengdu’s Central Urban District Open
As urbanization accelerates, urban greenery, particularly street greenery, emerges as a vital strategy for enhancing residents’ quality of life, demanding attention for its alignment with pedestrian flows to foster sustainable urban develo…
View article: Development of a Method for Commercial Style Transfer of Historical Architectural Facades Based on Stable Diffusion Models
Development of a Method for Commercial Style Transfer of Historical Architectural Facades Based on Stable Diffusion Models Open
In the sphere of urban renewal of historic districts, preserving and innovatively reinterpreting traditional architectural styles remains a primary research focus. However, the modernization and adaptive reuse of traditional buildings ofte…
View article: De novo genome assembly of endophytic fungus <i>Nemania diffusa</i> strain YAFEF818, isolated from <i>Artemisia argyi</i>
De novo genome assembly of endophytic fungus <i>Nemania diffusa</i> strain YAFEF818, isolated from <i>Artemisia argyi</i> Open
Here, we report a draft genome sequence of endophytic fungus Nemania diffusa YAFEF818, isolated from Artemisia argyi . Oxford Nanopore Technologies PromethION and Illumina NovaSeq sequence reads were assembled using NECAT and polished usin…
View article: ArchGPT: harnessing large language models for supporting renovation and conservation of traditional architectural heritage
ArchGPT: harnessing large language models for supporting renovation and conservation of traditional architectural heritage Open
The renovation of traditional architecture contributes to the inheritance of cultural heritage and promotes the development of social civilization. However, executing renovation plans that simultaneously align with the demands of residents…
View article: Visual Perception Differences and Spatiotemporal Analysis in Commercialized Historic Streets Based on Mobile Eye Tracking: A Case Study in Nanchang Wanshou Palace, China
Visual Perception Differences and Spatiotemporal Analysis in Commercialized Historic Streets Based on Mobile Eye Tracking: A Case Study in Nanchang Wanshou Palace, China Open
The commercialization of historic streets constitutes a pivotal aspect of urban cultural heritage, and the comprehension of their visual perception serves as a valuable asset to urban planning and cultural conservation efforts. However, cu…
View article: Knowledge-Driven and Diffusion Model-Based Methods for Generating Historical Building Facades: A Case Study of Traditional Minnan Residences in China
Knowledge-Driven and Diffusion Model-Based Methods for Generating Historical Building Facades: A Case Study of Traditional Minnan Residences in China Open
The preservation of historical traditional architectural ensembles faces multifaceted challenges, and the need for facade renovation and updates has become increasingly prominent. In conventional architectural updating and renovation proce…
View article: Quantitative analysis of anthocyanins and flavonoids in purple and green leaves of <i>Eleutherococcus senticosus</i> by UPLC-MS/MS techniques
Quantitative analysis of anthocyanins and flavonoids in purple and green leaves of <i>Eleutherococcus senticosus</i> by UPLC-MS/MS techniques Open
Ultra performance liquid chromatography-high resolution mass spectrometry (UPLC-MS/MS) were used to target quantitative determination anthocyanins and flavonoids in the fresh leaves (purple and green) of Eleutherococcus senticosus. …
View article: Development of a Method for Commercial Style Transfer of Historical Architectural Facades Based on Stable Diffusion Models
Development of a Method for Commercial Style Transfer of Historical Architectural Facades Based on Stable Diffusion Models Open
In the sphere of urban renewal in historic districts, preserving and innovatively reinterpreting traditional architectural styles remains a primary research focus. However, the modernization and adaptive reuse of traditional buildings ofte…
View article: Demographic Differences and Spatiotemporal Analysis of Visual Perception in Commercialized Historic Streets Based on Mobile Eye Tracking
Demographic Differences and Spatiotemporal Analysis of Visual Perception in Commercialized Historic Streets Based on Mobile Eye Tracking Open
The commercialization of historic streets constitutes a pivotal aspect of urban cultural heritage, and the comprehension of their visual perception serves as a valuable asset to urban planning and cultural conservation efforts. However, cu…
View article: Study on the Impact of Different Traffic Pollutant Sources Caused by Rural Highway Planning on Residents’ Health Based on CFD Simulation Technology
Study on the Impact of Different Traffic Pollutant Sources Caused by Rural Highway Planning on Residents’ Health Based on CFD Simulation Technology Open
China’s transportation network is very well developed, and usually, one or more busy highways pass through villages. Carbon monoxide from vehicle exhaust has important effects on the residents’ health, such as reducing the ability of blood…
View article: Uncovering Perceptual Differences in Street Greenery Based on Residents Different Accessibility of Travel Mode: A Case Study of the Central District of Chengdu
Uncovering Perceptual Differences in Street Greenery Based on Residents Different Accessibility of Travel Mode: A Case Study of the Central District of Chengdu Open
Urban street spaces serve as crucial public realms within cities. The focus on urban renewal, coupled with the utilization of multi-source data and the evolution of computational algorithms, has ushered in a novel methodological approach t…
View article: Automatic Estimation for Visual Quality Changes of Street Space via Street-View Images and Multimodal Large Language Models
Automatic Estimation for Visual Quality Changes of Street Space via Street-View Images and Multimodal Large Language Models Open
Estimating Visual Quality of Street Space (VQoSS) is pivotal for urban design, environmental sustainability, civic engagement, etc. Recent advancements, notably in deep learning, have enabled large-scale analysis. However, traditional deep…
View article: Revolutionizing Urban Safety Perception Assessments: Integrating Multimodal Large Language Models with Street View Images
Revolutionizing Urban Safety Perception Assessments: Integrating Multimodal Large Language Models with Street View Images Open
View article: Leveraging Diffusion Modeling for Remote Sensing Change Detection in Built-Up Urban Areas
Leveraging Diffusion Modeling for Remote Sensing Change Detection in Built-Up Urban Areas Open
In the evolving domain of built-up area surveillance, remote sensing technology emerges as an essential instrument for Change Detection (CD). The introduction of deep learning has notably augmented the precision and efficiency of CD. This …
View article: Automatic Estimation for Visual Quality Changes of Street Space Via Street-View Images and Multimodal Large Language Models
Automatic Estimation for Visual Quality Changes of Street Space Via Street-View Images and Multimodal Large Language Models Open
Estimating Visual Quality of Street Space (VQoSS) is pivotal for urban design, environmental sustainability, civic engagement, etc. Recent advancements, notably in deep learning, have enabled large-scale analysis. However, traditional deep…
View article: Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models
Advancing Urban Renewal: An Automated Approach to Generating Historical Arcade Facades with Stable Diffusion Models Open
Urban renewal and transformation processes necessitate the preservation of the historical urban fabric, particularly in districts known for their architectural and historical significance. These regions, with their diverse architectural st…
View article: Towards a Fairer Green city: measuring unfairness in daily accessible greenery in Chengdu’s central city
Towards a Fairer Green city: measuring unfairness in daily accessible greenery in Chengdu’s central city Open
Urban green spaces exert beneficial effects on both individuals and communities. However, as urban sprawl intensifies, socioeconomic disparities widen, and populations burgeon, the concepts of green fairness and environmental justice confr…
View article: Improving Facade Parsing with Vision Transformers and Line Integration
Improving Facade Parsing with Vision Transformers and Line Integration Open
Facade parsing stands as a pivotal computer vision task with far-reaching applications in areas like architecture, urban planning, and energy efficiency. Despite the recent success of deep learning-based methods in yielding impressive resu…
View article: Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception
Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception Open
Urban spatial perception critically influences human behavior and emotional reactions, emphasizing the necessity of aligning urban spaces with human needs for enhanced urban living. However, functionality-based categorization of urban arch…
View article: Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception
Uncovering Bias in Objective Mapping and Subjective Perception of Urban Building Functionality: A Machine Learning Approach to Urban Spatial Perception Open
Urban spatial perception critically influences human behavior and emotional reactions, emphasizing the necessity of aligning urban spaces with human needs for enhanced urban living. However, functionality-based categorization of urban arch…
View article: Synthesizing Style-Similar Residential Facade From Semantic Labeling According to the User-Provided Example
Synthesizing Style-Similar Residential Facade From Semantic Labeling According to the User-Provided Example Open
Example-guided facade synthesis aims to synthesize realistic facade images from semantic labels drawn by architects and example images of user preferences.The automated synthesis approach allows for the efficient generation of facade solut…
View article: A Virtual Reality-Based Tool with Human Behavior Measurement and Analysis for Feedback Design of the Indoor Light Environment
A Virtual Reality-Based Tool with Human Behavior Measurement and Analysis for Feedback Design of the Indoor Light Environment Open
Human behavior data provides essential feedback information for architects to improve a human-centered indoor light environment design. However, architects have difficulty capturing the complex, multidimensional, and unpredictable behavior…