Le Wu
Biographic Data
| ID | 6271376 |
|---|---|
| NAME | Le Wu |
| FAMILY NAME | Le Wu |
| SIGNATURE | LE WU |
| AFFILIATIONS | Hefei University of Technology |
| ORCID | 0000-0002-0346-8376 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Spatiotemporal impact of cultivated land use transition on grain production
Clarifying the impact of cultivated land use transition (CLUT) on grain production can provide effective support for formulating land management policies to ensure food security. CLUT means the cultivated land use morphology changes from one to another, including cultivated land use dominant transition (CLDT) and cultivated land use recessive transition (CLRT). However, existing studies have the problem of separating the CLDT and CLRT, resulting …
Prompt Transfer for Dual-Aspect Cross-Domain Cognitive Diagnosis
Cognitive diagnosis (CD) aims to evaluate students’ cognitive states based on their interaction data, enabling downstream applications such as exercise recommendation and personalized learning guidance. However, existing methods often struggle with accuracy drops in cross-domain cognitive diagnosis (CDCD), a practical yet challenging task. While some efforts have explored exercise-aspect CDCD, such as cross-subject scenarios, they fail to address…
Emcrl
As one representative framework of self-supervised learning (SSL), contrastive learning (CL) has drawn enormous attention in the representation learning area. By pulling together a “positive” example and an anchor, as well as pushing away many “negative” examples from the anchor, CL is able to generate high-quality representations for the data of different modalities. Therefore, the qualities of selected positive and negative examples are critica…
Dual Graph Neural Networks for Dynamic Users’ Behavior Prediction on Social Networking Services
Social network services (SNSs) provide platforms where users engage in social link behavior (e.g., predicting social relationships) and consumption behavior. Recent advancements in deep learning for recommendation and link prediction explore the symbiotic relationships between these behaviors, leveraging social influence theory and user homogeneity, i.e., users tend to accept recommendations from social friends and connect with like-minded users.…
Multi-period design and optimization of classified municipal solid waste supply chain integrating seasonal fluctuations in waste generation
The Impact of the Mechanism of Projection on Methods of Education in Great Expectations
Miss Havisham and Magwitch, who lead tragic life but adopt different manners of the mechanism of projection-egoistic manner and altruistic manner, bring about large distinction between their methods of education and exert vital influences on Estella’s and Pip’s fates in Great Expectations written by Charles Dickens. This paper aims to analyze the impact of ego’s defence mechanism represented by the mechanism of projection on methods of education.…
No prominent works on this page.
The Impact of the Mechanism of Projection on Methods of Education in Great Expectations
Miss Havisham and Magwitch, who lead tragic life but adopt different manners of the mechanism of projection-egoistic manner and altruistic manner, bring about large distinction between their methods of education and exert vital influences on Estella’s and Pip’s fates in Great Expectations written by Charles Dickens. This paper aims to analyze the impact of ego’s defence mechanism represented by the mechanism of projection on methods of education.…
Multi-period design and optimization of classified municipal solid waste supply chain integrating seasonal fluctuations in waste generation
Dual Graph Neural Networks for Dynamic Users’ Behavior Prediction on Social Networking Services
Social network services (SNSs) provide platforms where users engage in social link behavior (e.g., predicting social relationships) and consumption behavior. Recent advancements in deep learning for recommendation and link prediction explore the symbiotic relationships between these behaviors, leveraging social influence theory and user homogeneity, i.e., users tend to accept recommendations from social friends and connect with like-minded users.…
Prompt Transfer for Dual-Aspect Cross-Domain Cognitive Diagnosis
Cognitive diagnosis (CD) aims to evaluate students’ cognitive states based on their interaction data, enabling downstream applications such as exercise recommendation and personalized learning guidance. However, existing methods often struggle with accuracy drops in cross-domain cognitive diagnosis (CDCD), a practical yet challenging task. While some efforts have explored exercise-aspect CDCD, such as cross-subject scenarios, they fail to address…
Emcrl
As one representative framework of self-supervised learning (SSL), contrastive learning (CL) has drawn enormous attention in the representation learning area. By pulling together a “positive” example and an anchor, as well as pushing away many “negative” examples from the anchor, CL is able to generate high-quality representations for the data of different modalities. Therefore, the qualities of selected positive and negative examples are critica…
Spatiotemporal impact of cultivated land use transition on grain production
Clarifying the impact of cultivated land use transition (CLUT) on grain production can provide effective support for formulating land management policies to ensure food security. CLUT means the cultivated land use morphology changes from one to another, including cultivated land use dominant transition (CLDT) and cultivated land use recessive transition (CLRT). However, existing studies have the problem of separating the CLDT and CLRT, resulting …
Computer Science (5 works) · Artificial Intelligence (2 works) · Philosophy (2 works) · Psychology (2 works) · Advanced Graph Neural Networks (1 work) · Agricultural Development and Policies (1 work) · Agricultural economics and policies (1 work) · Agricultural Economics and Policy (1 work) · Algorithm (1 work) · Artificial neural network (1 work)