Xiaoping Rui
Biographic Data
| ID | 6745948 |
|---|---|
| NAME | Xiaoping Rui |
| GIVEN NAMES | Xiaoping |
| FAMILY NAME | Rui |
| SIGNATURE | RUI X |
| AFFILIATIONS | Hohai University |
| ORCID | 0000-0002-7764-4272 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Theft Address Extraction and Classification from Chinese Judicial Documents Based on Large Language Model
Judicial documents have become a significant data source for crime geography research, offering advantages in accessibility and scale compared to highly restricted police-recorded crime data. However, extracting crime addresses from these texts is challenging due to sparse, inconsistent, and incomplete address information. Without proper classification, errors in geocoding and spatial analysis can arise, compromising data quality. To address thes…
View-Invariant 3D Building Retrieval with Topological Perception-Guided Feature Fusion
The increasing availability of 3D building models in digital-city applications has made scalable and accurate 3D building model retrieval essential. However, existing methods often struggle to capture the global structure of building models and to achieve stable retrieval results under viewpoint variations. To address these challenges, we propose a topological-perception-guided feature fusion framework with two complementary fusion schemes for di…
A tri-objective optimization model for map color schemes considering user preference, visual quality, and energy efficiency
Spatiotemporal Dynamics and Multi-Scale Equity Evaluation of Urban Rail Accessibility
In recent years, the rapid expansion of urban rail transit has significantly improved travel efficiency, yet it has also exacerbated spatial inequality in service coverage. Accessibility, as a fundamental metric for evaluating the equity of service distribution, remains limited by three major shortcomings in current assessment methods: the neglect of actual road network characteristics, reliance on a single static scale, and the absence of quanti…
A Study of the Evolution of Haze Microblog Concerns Based on a Co-Word Network Analysis
Haze is a phenomenon caused by excessive PM2.5 (air-borne particulate matter having a diameter of fewer than 2.5 μm) and other pollutants and results from the interaction between specific climatic conditions and human activities. It significantly impacts human health, transportation, and the natural environment and has aroused widespread concern. However, the influence of haze on human mental health, being hidden and indirect, is often overlooked…
Improved A* Navigation Path-Planning Algorithm Based on Hexagonal Grid
Navigation systems are extensively used in everyday life, but the conventional A* algorithm has several limitations in path planning applications within these systems, such as low degrees of freedom in path planning, inadequate consideration of the effects of special regions, and excessive nodes and turns. Addressing these limitations, an enhanced A* algorithm was proposed using regular hexagonal grid mapping. First, the approach to map modeling …
Identifying the centers of geographical public opinions in flood disasters based on improved conditional random field and focus theory
Quantitative Evaluation of Psychological Tolerance under the Haze
The interplay of specific weather conditions and human activity results due to haze. When the haze arrives, individuals will use microblogs to communicate their concerns and feelings. It will be easier for municipal administrators to alter public communication and resource allocation under the haze if we can master the emotions of netizens. Psychological tolerance is the ability to cope with and adjust to psychological stress and unpleasant emoti…
The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network
The increasing frequency of floods and the lack of protective measures have the potential to cause severe damage. Working from the perspective of network public opinion is an effective way to understand flood disasters. However, the existing research tends to focus on a single perspective, such as the characteristics of the text, algorithm optimization, or spatial location recognition, while scholars have paid much less attention to the impact of…
Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning
Vehicle trajectories derived from Global Navigation Satellite Systems (GNSS) are used in various traffic applications based on trajectory quality analysis for the development of successful traffic models. A trajectory consists of points and links that are connected, where both the points and links are subject to positioning errors in the GNSS. Existing trajectory filters focus on point outliers, but neglect link outliers on tracks caused by a lon…
No prominent works on this page.
Filtering Link Outliers in Vehicle Trajectories by Spatial Reasoning
Vehicle trajectories derived from Global Navigation Satellite Systems (GNSS) are used in various traffic applications based on trajectory quality analysis for the development of successful traffic models. A trajectory consists of points and links that are connected, where both the points and links are subject to positioning errors in the GNSS. Existing trajectory filters focus on point outliers, but neglect link outliers on tracks caused by a lon…
Quantitative Evaluation of Psychological Tolerance under the Haze
The interplay of specific weather conditions and human activity results due to haze. When the haze arrives, individuals will use microblogs to communicate their concerns and feelings. It will be easier for municipal administrators to alter public communication and resource allocation under the haze if we can master the emotions of netizens. Psychological tolerance is the ability to cope with and adjust to psychological stress and unpleasant emoti…
The Identification and Analysis of the Centers of Geographical Public Opinions in Flood Disasters Based on Improved Naïve Bayes Network
The increasing frequency of floods and the lack of protective measures have the potential to cause severe damage. Working from the perspective of network public opinion is an effective way to understand flood disasters. However, the existing research tends to focus on a single perspective, such as the characteristics of the text, algorithm optimization, or spatial location recognition, while scholars have paid much less attention to the impact of…
A Study of the Evolution of Haze Microblog Concerns Based on a Co-Word Network Analysis
Haze is a phenomenon caused by excessive PM2.5 (air-borne particulate matter having a diameter of fewer than 2.5 μm) and other pollutants and results from the interaction between specific climatic conditions and human activities. It significantly impacts human health, transportation, and the natural environment and has aroused widespread concern. However, the influence of haze on human mental health, being hidden and indirect, is often overlooked…
Improved A* Navigation Path-Planning Algorithm Based on Hexagonal Grid
Navigation systems are extensively used in everyday life, but the conventional A* algorithm has several limitations in path planning applications within these systems, such as low degrees of freedom in path planning, inadequate consideration of the effects of special regions, and excessive nodes and turns. Addressing these limitations, an enhanced A* algorithm was proposed using regular hexagonal grid mapping. First, the approach to map modeling …
Identifying the centers of geographical public opinions in flood disasters based on improved conditional random field and focus theory
Spatiotemporal Dynamics and Multi-Scale Equity Evaluation of Urban Rail Accessibility
In recent years, the rapid expansion of urban rail transit has significantly improved travel efficiency, yet it has also exacerbated spatial inequality in service coverage. Accessibility, as a fundamental metric for evaluating the equity of service distribution, remains limited by three major shortcomings in current assessment methods: the neglect of actual road network characteristics, reliance on a single static scale, and the absence of quanti…
Theft Address Extraction and Classification from Chinese Judicial Documents Based on Large Language Model
Judicial documents have become a significant data source for crime geography research, offering advantages in accessibility and scale compared to highly restricted police-recorded crime data. However, extracting crime addresses from these texts is challenging due to sparse, inconsistent, and incomplete address information. Without proper classification, errors in geocoding and spatial analysis can arise, compromising data quality. To address thes…
View-Invariant 3D Building Retrieval with Topological Perception-Guided Feature Fusion
The increasing availability of 3D building models in digital-city applications has made scalable and accurate 3D building model retrieval essential. However, existing methods often struggle to capture the global structure of building models and to achieve stable retrieval results under viewpoint variations. To address these challenges, we propose a topological-perception-guided feature fusion framework with two complementary fusion schemes for di…
A tri-objective optimization model for map color schemes considering user preference, visual quality, and energy efficiency
Computer Science (5 works) · Geography (4 works) · Artificial Intelligence (3 works) · Mathematics (3 works) · Microblogging (3 works) · Social media (3 works) · Data Management and Algorithms (2 works) · Data mining (2 works) · Disaster Management and Resilience (2 works) · Feeling (2 works)