Yunqiang Zhu
Biographic Data
| ID | 6746800 |
|---|---|
| NAME | Yunqiang Zhu |
| GIVEN NAMES | Yunqiang |
| FAMILY NAME | Zhu |
| SIGNATURE | ZHU Y |
| AFFILIATIONS | Chinese Academy of Sciences |
| ORCID | 0000-0002-3356-3067 |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Fine-Grained Sentiment Quantification of Media Texts Considering Sentence Type and Holder–Target Awareness
Media texts convey emotions and stances that can shape the evolution of public opinion, which calls for comparable quantitative sentiment analysis. However, most existing approaches assign a single sentiment score to an entire article, making it difficult to distinguish functional differences across sentences and to clarify who expresses the sentiment and what the evaluation targets, thereby limiting interpretability and cross-source comparabilit…
A Spatio-Temporal Evolutionary Embedding Approach for Geographic Knowledge Graph Question Answering
In recent years, geographic knowledge graphs (GeoKGs) have shown great promise in representing spatio-temporal and event-driven knowledge. However, existing knowledge graph embedding approaches mainly focus on structural patterns and often overlook the dynamic evolution of entities in both time and space, which limits their effectiveness in downstream reasoning tasks. To address this, we propose a spatio-temporal evolutionary knowledge embedding …
Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events
This study focuses on the main urban area of Yangzhou City and conducts a quantitative comparative analysis of traffic accessibility during normal weather and extreme precipitation conditions (typhoon) based on GPS trajectories of buses. From both temporal and spatial dimensions, it comprehensively examines the impact of extreme precipitation on bus travel speed, travel time, and the commuting range of residents in the main urban area of Yangzhou…
Question Classification for Intelligent Question Answering
In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA. GeoIQA is domain complex IQA, which aims at understanding and answering questions accurately. The core of IQA is the Question Classification (QC), which mainly contains four types: content-based, template-based, calculation-based and method-based classifi…
Conflating point of interest (POI) data
A Knowledge Graph Convolutional Networks Method for Countryside Ecological Patterns Recommendation by Mining Geographical Features
The recommendation system is one of the hotspots in the field of artificial intelligence that can be applied to recommend suitable ecological patterns for the countryside. Countryside ecological patterns mean advanced patterns that can be recommended to those developing areas which have similar geographical features, which provides huge benefits for countryside development. However, current recommendation methods have low recommendation accuracy …
Variance Analysis in China’s Coal Mine Accident Studies Based on Data Mining
The risk of coal mine accidents rises significantly with mining depth, making it urgent for accident prevention to be supported by both scientific analysis and advanced technologies. Hence, a comprehensive grasp of the research progress and differences in hotspots of coal mine accidents in China serves as a guide to find the shortcomings of studies in the field, promote the effectiveness of coal mine disaster management, and enhance the preventio…
Formalizing Parameter Constraints to Support Intelligent Geoprocessing
Intelligent geoprocessing relies heavily on formalized parameter constraints of geoprocessing tools to validate the input data and to further ensure the robustness and reliability of geoprocessing. However, existing methods developed to formalize parameter constraints are either designed based on ill-suited assumptions, which may not correctly identify the invalid parameter inputs situation, or are inefficient to use. This paper proposes a novel …
Analyzing the Research Evolution in Response to Covid-19
In order to understand how these studies are evolving to respond to COVID-19 and to facilitate the containment of COVID-19, this paper accurately extracted the spatial and topic information from the metadata of papers related to COVID-19 using text mining techniques, and with the extracted information, the research evolution was analyzed from the temporal, spatial, and topic perspectives. From a temporal view, in the three months after the emerge…
Covid-19
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands of deaths. Currently, the number of infections and deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning and international relations. In the fight against COVID-19, Geographic Information Systems (GIS) and big data technologies have played an important role in many a…
Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China
In this study, the Mudan River, which is the most typical river in the northern cold region of China was selected as the research object; Environmental Fluid Dynamics Code (EFDC) was adopted to construct a new two-dimensional water quality model for the urban sections of the Mudan River, and concentrations of COD(Cr) and NH3N during ice-covered and open-water periods were simulated and analyzed. Results indicated that roughness coefficient and co…
A method based on graphic entity for visualizing complex map symbols on the web
A method based on graphic entity for map symbol visualization in vector-based web mapping is proposed. The method is especially effective for complex geological symbols. It has three parts: graphic entity library, symbol synthesizer, and synthesis specifications. The design process is described as the application of the method to symbols representing point, line, and polygon features in web mapping. The method works with Flash, SVG, or other mapp…
Climate change and the ecological responses in Xinjiang, China
No prominent works on this page.
Climate change and the ecological responses in Xinjiang, China
A method based on graphic entity for visualizing complex map symbols on the web
A method based on graphic entity for map symbol visualization in vector-based web mapping is proposed. The method is especially effective for complex geological symbols. It has three parts: graphic entity library, symbol synthesizer, and synthesis specifications. The design process is described as the application of the method to symbols representing point, line, and polygon features in web mapping. The method works with Flash, SVG, or other mapp…
Modelling and Analysis of Hydrodynamics and Water Quality for Rivers in the Northern Cold Region of China
In this study, the Mudan River, which is the most typical river in the northern cold region of China was selected as the research object; Environmental Fluid Dynamics Code (EFDC) was adopted to construct a new two-dimensional water quality model for the urban sections of the Mudan River, and concentrations of COD(Cr) and NH3N during ice-covered and open-water periods were simulated and analyzed. Results indicated that roughness coefficient and co…
Covid-19
The outbreak of the 2019 novel coronavirus disease (COVID-19) has caused more than 100,000 people infected and thousands of deaths. Currently, the number of infections and deaths is still increasing rapidly. COVID-19 seriously threatens human health, production, life, social functioning and international relations. In the fight against COVID-19, Geographic Information Systems (GIS) and big data technologies have played an important role in many a…
Formalizing Parameter Constraints to Support Intelligent Geoprocessing
Intelligent geoprocessing relies heavily on formalized parameter constraints of geoprocessing tools to validate the input data and to further ensure the robustness and reliability of geoprocessing. However, existing methods developed to formalize parameter constraints are either designed based on ill-suited assumptions, which may not correctly identify the invalid parameter inputs situation, or are inefficient to use. This paper proposes a novel …
Analyzing the Research Evolution in Response to Covid-19
In order to understand how these studies are evolving to respond to COVID-19 and to facilitate the containment of COVID-19, this paper accurately extracted the spatial and topic information from the metadata of papers related to COVID-19 using text mining techniques, and with the extracted information, the research evolution was analyzed from the temporal, spatial, and topic perspectives. From a temporal view, in the three months after the emerge…
A Knowledge Graph Convolutional Networks Method for Countryside Ecological Patterns Recommendation by Mining Geographical Features
The recommendation system is one of the hotspots in the field of artificial intelligence that can be applied to recommend suitable ecological patterns for the countryside. Countryside ecological patterns mean advanced patterns that can be recommended to those developing areas which have similar geographical features, which provides huge benefits for countryside development. However, current recommendation methods have low recommendation accuracy …
Variance Analysis in China’s Coal Mine Accident Studies Based on Data Mining
The risk of coal mine accidents rises significantly with mining depth, making it urgent for accident prevention to be supported by both scientific analysis and advanced technologies. Hence, a comprehensive grasp of the research progress and differences in hotspots of coal mine accidents in China serves as a guide to find the shortcomings of studies in the field, promote the effectiveness of coal mine disaster management, and enhance the preventio…
Question Classification for Intelligent Question Answering
In the era of GeoAI, Geospatial Intelligent Question Answering (GeoIQA) represents the ultimate pursuit for everyone. Even generative AI systems like ChatGPT-4 struggle to handle complex GeoIQA. GeoIQA is domain complex IQA, which aims at understanding and answering questions accurately. The core of IQA is the Question Classification (QC), which mainly contains four types: content-based, template-based, calculation-based and method-based classifi…
Conflating point of interest (POI) data
Study on Spatio-Temporal Patterns of Commuting under Adverse Weather Events
This study focuses on the main urban area of Yangzhou City and conducts a quantitative comparative analysis of traffic accessibility during normal weather and extreme precipitation conditions (typhoon) based on GPS trajectories of buses. From both temporal and spatial dimensions, it comprehensively examines the impact of extreme precipitation on bus travel speed, travel time, and the commuting range of residents in the main urban area of Yangzhou…
A Spatio-Temporal Evolutionary Embedding Approach for Geographic Knowledge Graph Question Answering
In recent years, geographic knowledge graphs (GeoKGs) have shown great promise in representing spatio-temporal and event-driven knowledge. However, existing knowledge graph embedding approaches mainly focus on structural patterns and often overlook the dynamic evolution of entities in both time and space, which limits their effectiveness in downstream reasoning tasks. To address this, we propose a spatio-temporal evolutionary knowledge embedding …
Fine-Grained Sentiment Quantification of Media Texts Considering Sentence Type and Holder–Target Awareness
Media texts convey emotions and stances that can shape the evolution of public opinion, which calls for comparable quantitative sentiment analysis. However, most existing approaches assign a single sentiment score to an entire article, making it difficult to distinguish functional differences across sentences and to clarify who expresses the sentiment and what the evaluation targets, thereby limiting interpretability and cross-source comparabilit…
Computer Science (7 works) · Geography (6 works) · Geographic Information Systems Studies (4 works) · Artificial Intelligence (3 works) · China (3 works) · Data mining (3 works) · Data science (3 works) · Environmental Science (3 works) · Human Mobility and Location-Based Analysis (3 works) · Topic Modeling (3 works)