Zhang Xiong
Biographic Data
| ID | 5823032 |
|---|---|
| NAME | Zhang Xiong |
| GIVEN NAMES | Zhang |
| FAMILY NAME | Xiong |
| SIGNATURE | XIONG Z |
| AFFILIATIONS | Beihang University |
| ORCID | 0000-0002-1673-1647 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 39 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 2 |
Wasserstein Dependent Graph Attention Network for Collaborative Filtering With Uncertainty
Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interactions. However, most CF methods represent users and items as fixed points in the latent space, lacking the ability to capture uncertainty. While probabilistic embedding is proposed to intergrate uncertainty, they suffer from several limitations when introduced to graph-based recommender syste…
Causal Intervention for Fairness in Multibehavior Recommendation
Recommender systems usually learn user interests from various user behaviors, including clicks and postclick behaviors (e.g., like and favorite, which reflects the true interests of users). However, these behaviors inevitably exhibit popularity bias, leading to some unfairness issues: 1) for items with similar quality, more popular ones get more exposure; and 2) even worse the popular items with lower popularity might receive more exposure. Exist…
Multimodal Contrastive Transformer for Explainable Recommendation
Explanations play an essential role in helping users evaluate results from recommender systems. Various natural language generation methods have been proposed to generate explanations for the recommendation. However, they usually suffer from two problems. First, since user-provided review text contains noisy data, the generated explanations may be irrelevant to the recommended items. Second, as lacking some supervision signals, most of the genera…
An Object Tuple Model for Understanding Pointer and Array in C Language
Contribution: In this study, an object tuple model has been proposed, and a quasi-experimental study on its usage in an introductory programming language course has been reported. This work can be adopted by all C language teachers and students in learning pointer and array-related concepts. Background: C language has been extensively employed in numerous universities as an introductory programming practice. However, the pointer and array have lo…
Further discussion of indigenization in social work: A response to Gray and Coates
This article responds to Gray’s (2010) and Gray and Coates’ (2010) responses to A Reflection on Indigenization Discourse in Social Work ( Huang and Zhang, 2008 ), and presents further discussion of indigenization in social work. We indicate that it is an inherent professional requirement for social workers to use different ways to understand local contexts and to do locally relevant research and practice. We extend to address some points of indig…
A reflection on the indigenization discourse in social work
English This article gives a brief review of the indigenization discourse in social sciences and in social work. We examine some assumptions and arguments by the proponents of indigenization in social work and suggest that attempts at indigenization may be less beneficial in some countries than assumed. French Cet article survole le thème de l'autochtonisation dans le domaine des sciences sociales et du travail social. Les auteurs y examinent que…
A reflection on the indigenization discourse in social work
English This article gives a brief review of the indigenization discourse in social sciences and in social work. We examine some assumptions and arguments by the proponents of indigenization in social work and suggest that attempts at indigenization may be less beneficial in some countries than assumed. French Cet article survole le thème de l'autochtonisation dans le domaine des sciences sociales et du travail social. Les auteurs y examinent que…
Further discussion of indigenization in social work: A response to Gray and Coates
This article responds to Gray’s (2010) and Gray and Coates’ (2010) responses to A Reflection on Indigenization Discourse in Social Work ( Huang and Zhang, 2008 ), and presents further discussion of indigenization in social work. We indicate that it is an inherent professional requirement for social workers to use different ways to understand local contexts and to do locally relevant research and practice. We extend to address some points of indig…
A reflection on the indigenization discourse in social work
English This article gives a brief review of the indigenization discourse in social sciences and in social work. We examine some assumptions and arguments by the proponents of indigenization in social work and suggest that attempts at indigenization may be less beneficial in some countries than assumed. French Cet article survole le thème de l'autochtonisation dans le domaine des sciences sociales et du travail social. Les auteurs y examinent que…
Further discussion of indigenization in social work: A response to Gray and Coates
This article responds to Gray’s (2010) and Gray and Coates’ (2010) responses to A Reflection on Indigenization Discourse in Social Work ( Huang and Zhang, 2008 ), and presents further discussion of indigenization in social work. We indicate that it is an inherent professional requirement for social workers to use different ways to understand local contexts and to do locally relevant research and practice. We extend to address some points of indig…
An Object Tuple Model for Understanding Pointer and Array in C Language
Contribution: In this study, an object tuple model has been proposed, and a quasi-experimental study on its usage in an introductory programming language course has been reported. This work can be adopted by all C language teachers and students in learning pointer and array-related concepts. Background: C language has been extensively employed in numerous universities as an introductory programming practice. However, the pointer and array have lo…
Causal Intervention for Fairness in Multibehavior Recommendation
Recommender systems usually learn user interests from various user behaviors, including clicks and postclick behaviors (e.g., like and favorite, which reflects the true interests of users). However, these behaviors inevitably exhibit popularity bias, leading to some unfairness issues: 1) for items with similar quality, more popular ones get more exposure; and 2) even worse the popular items with lower popularity might receive more exposure. Exist…
Multimodal Contrastive Transformer for Explainable Recommendation
Explanations play an essential role in helping users evaluate results from recommender systems. Various natural language generation methods have been proposed to generate explanations for the recommendation. However, they usually suffer from two problems. First, since user-provided review text contains noisy data, the generated explanations may be irrelevant to the recommended items. Second, as lacking some supervision signals, most of the genera…
Wasserstein Dependent Graph Attention Network for Collaborative Filtering With Uncertainty
Collaborative filtering (CF) is an essential technique in recommender systems that provides personalized recommendations by only leveraging user-item interactions. However, most CF methods represent users and items as fixed points in the latent space, lacking the ability to capture uncertainty. While probabilistic embedding is proposed to intergrate uncertainty, they suffer from several limitations when introduced to graph-based recommender syste…
Computer Science (4 works) · Artificial Intelligence (3 works) · Psychology (3 works) · Anthropology (2 works) · Indigenization (2 works) · Mathematics (2 works) · Recommender Systems and Techniques (2 works) · Social Work Education and Practice (2 works) · Sociology (2 works) · Advanced Graph Neural Networks (1 works)