Yuncheng Jiang
Biographic Data
| ID | 9625091 |
|---|---|
| NAME | Yuncheng Jiang |
| GIVEN NAMES | Yuncheng |
| FAMILY NAME | Jiang |
| SIGNATURE | JIANG Y |
| AFFILIATIONS | China University of Mining and Technology |
| ORCID | 0000-0002-4540-387X |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Modeling Periodic Learning and Forgetting Behaviors for Enhanced Knowledge Tracing
Knowledge tracing (KT) is a critical component of intelligent tutoring systems, which aim to track and predict students’ evolving knowledge states based on their interaction histories in online learning environments. However, most existing KT models fail to account for the periodic nature of student learning, in which knowledge acquisition occurs in concentrated study sessions, followed by periods of forgetting during breaks. To address this limi…
Modeling the Type Hierarchy in High-Dimensional Box Space for Fine-Grained Entity Typing
A critical component of fine-grained entity typing is the existence of precise relationship between entity types, such as type hierarchy. Previous approaches for fine-grained entity typing typically model the type hierarchy in vector space, which causes it extremely hard to precisely capture the complex relationship between entity types. To overcome the challenge of modeling type hierarchy in vector space, this article proposes for the first time…
Daytime and Nighttime Modulated the Activity of Potential Environmental Factors on Theft
Knowledge-Associated Embedding for Memory-Aware Knowledge Tracing
Knowledge tracing (KT) refers to predicting learners’ performance in the future according to their historical learning interactions, which has become an essential task for the computer-aided education (CAE) system. Recent studies alleviate the data sparsity problem by mining higher-order information between questions and skills. However, the effect of multiple skills in the question is not distinguished, and various learning behaviors need to be …
Spatial Correlation between the Changes in Supply and Demand for Water-Related Ecosystem Services
Clarifying the spatiotemporal changes in the supply and demand of water-related ecosystem services (WESs) can provide comprehensive support information for ecological governance decisions. However, the spatial mismatch between the supply and demand of WESs is often overlooked, resulting in a lack of targeted decision-making. At the grid scale, while preserving both natural and social attributes, this study quantitatively analyzed the spatiotempor…
Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin
To promote sustainable hierarchical management, it is essential to understand the complex relationships within and underlying causes of supply–demand changes in water-related ecosystem services (WESs) across different spatial scales and landscape patterns. Consequently, the Optimal Parameters-based Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression (MGWR) are used to analyze the factors influencing changes in WESs sup…
Multi-Criterion Spatial Optimization of Future Police Stations Based on Urban Expansion and Criminal Behavior Characteristics
Lanzhou’s rapid development has raised new security challenges, and improving public safety in areas under the jurisdiction of police stations is an effective way to address the problem of public security in urban areas. Unfortunately, the existing studies do not consider how factors such as future land changes, building functions, and characteristics of criminal behavior influence the choice of areas for police stations and the optimization of p…
A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China
Rapid urban expansion has brought new challenges to firefighting, with the speed of firefighting rescue being crucial for the safety of property and life. Thus, fire prevention and rescuing people in distress have become more challenging for city managers and emergency responders. Unfortunately, existing research does not consider the negative effects of the current spatial distribution of fire-risk areas, land cover, location, and traffic conges…
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A GIS-Based Multi-Criterion Decision-Making Method to Select City Fire Brigade: A Case Study of Wuhan, China
Rapid urban expansion has brought new challenges to firefighting, with the speed of firefighting rescue being crucial for the safety of property and life. Thus, fire prevention and rescuing people in distress have become more challenging for city managers and emergency responders. Unfortunately, existing research does not consider the negative effects of the current spatial distribution of fire-risk areas, land cover, location, and traffic conges…
Multi-Criterion Spatial Optimization of Future Police Stations Based on Urban Expansion and Criminal Behavior Characteristics
Lanzhou’s rapid development has raised new security challenges, and improving public safety in areas under the jurisdiction of police stations is an effective way to address the problem of public security in urban areas. Unfortunately, the existing studies do not consider how factors such as future land changes, building functions, and characteristics of criminal behavior influence the choice of areas for police stations and the optimization of p…
Knowledge-Associated Embedding for Memory-Aware Knowledge Tracing
Knowledge tracing (KT) refers to predicting learners’ performance in the future according to their historical learning interactions, which has become an essential task for the computer-aided education (CAE) system. Recent studies alleviate the data sparsity problem by mining higher-order information between questions and skills. However, the effect of multiple skills in the question is not distinguished, and various learning behaviors need to be …
Spatial Correlation between the Changes in Supply and Demand for Water-Related Ecosystem Services
Clarifying the spatiotemporal changes in the supply and demand of water-related ecosystem services (WESs) can provide comprehensive support information for ecological governance decisions. However, the spatial mismatch between the supply and demand of WESs is often overlooked, resulting in a lack of targeted decision-making. At the grid scale, while preserving both natural and social attributes, this study quantitatively analyzed the spatiotempor…
Multi-Scale Effects of Supply–Demand Changes in Water-Related Ecosystem Services Across Different Landscapes in River Basin
To promote sustainable hierarchical management, it is essential to understand the complex relationships within and underlying causes of supply–demand changes in water-related ecosystem services (WESs) across different spatial scales and landscape patterns. Consequently, the Optimal Parameters-based Geographical Detector (OPGD) and Multi-Scale Geographically Weighted Regression (MGWR) are used to analyze the factors influencing changes in WESs sup…
Modeling the Type Hierarchy in High-Dimensional Box Space for Fine-Grained Entity Typing
A critical component of fine-grained entity typing is the existence of precise relationship between entity types, such as type hierarchy. Previous approaches for fine-grained entity typing typically model the type hierarchy in vector space, which causes it extremely hard to precisely capture the complex relationship between entity types. To overcome the challenge of modeling type hierarchy in vector space, this article proposes for the first time…
Daytime and Nighttime Modulated the Activity of Potential Environmental Factors on Theft
Modeling Periodic Learning and Forgetting Behaviors for Enhanced Knowledge Tracing
Knowledge tracing (KT) is a critical component of intelligent tutoring systems, which aim to track and predict students’ evolving knowledge states based on their interaction histories in online learning environments. However, most existing KT models fail to account for the periodic nature of student learning, in which knowledge acquisition occurs in concentrated study sessions, followed by periods of forgetting during breaks. To address this limi…
Geography (5 works) · Computer Science (4 works) · Cartography (3 works) · Environmental Science (3 works) · Business (2 works) · Ecology (2 works) · Economics (2 works) · Ecosystem (2 works) · Ecosystem services (2 works) · Engineering (2 works)