Haoyu Zhao
Datos Biográficos
| ID | 4026028 |
|---|---|
| NOMBRE | Haoyu Zhao |
| NOMBRES | Haoyu |
| APELLIDO | Zhao |
| FIRMA | ZHAO H |
| AFILIACIONES | University of British Columbia |
| ORCID | 0009-0005-5641-264X |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 8 |
| TOTAL DE CITAS | 1 |
| OBRAS COMO AUTOR | 8 |
| OBRAS COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2020 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2026 |
| ÍNDICE H | 1 |
Rethinking smartphone use and attention regulation among adolescents
Fear of Missing Out, Depression, and Problematic Smartphone Use in Canadian Adolescents
INTRODUCTION: Although research has established a link between adolescents' problematic smartphone use and mental health, the nuances and directionality of this relationship remain unclear. This study offers a longitudinal analysis of the relationship between problematic smartphone use, Fear of Missing Out (FoMO), and depression in Canadian adolescents. METHODS: The participants included 1,298 students from Southern British Columbia, Canada (Mage…
From interface to inference
Facial expression analysis and machine learning for objective assessment of alcohol craving in alcohol use disorder
Developing an objective system for evaluating alcohol craving has the potential to enhance routine screening, differential diagnosis, and treatment monitoring in alcohol use disorder. Furthermore, integrating facial expression analysis with machine learning may enable the development of reliable craving assessment tools and treatment response prediction models. Such approaches could provide clinicians with evidence-based guidance for psychologica…
The Longitudinal Association Between Habitual Smartphone Use and Peer Attachment
Although many peers socialize online, there is evidence that adolescents who spend too much time online are lonely, depressed, and anxious. This study incorporates habitual smartphone use as a new way of measuring smartphone engagement, based on the shortcomings of simply measuring 'hours spent online'. Drawing on a large 2-year longitudinal study, the current research aims to investigate the association between habitual smartphone use and peer a…
Examining Self-Regulation and Problematic Smartphone Use in Canadian Adolescents
Globalization and Worldwide Best Practices in E-Government
As the rate of global technological change becomes ever more visible, the development of e-governance is sometimes taken for granted as a path-dependent process. E-governance evolution models assume that the quality of online government information, services, and transactions, will trend ever upward. This article tests this claim through a global analysis of different patterns of growth and maturation. The article delves into six best practice ca…
Similarity Retention Loss (SRL) Based on Deep Metric Learning for Remote Sensing Image Retrieval
Recently, with the rapid growth of the number of datasets with remote sensing images, it is urgent to propose an effective image retrieval method to manage and use such image data. In this paper, we propose a deep metric learning strategy based on Similarity Retention Loss (SRL) for content-based remote sensing image retrieval. We have improved the current metric learning methods from the following aspects—sample mining, network model structure a…
Globalization and Worldwide Best Practices in E-Government
As the rate of global technological change becomes ever more visible, the development of e-governance is sometimes taken for granted as a path-dependent process. E-governance evolution models assume that the quality of online government information, services, and transactions, will trend ever upward. This article tests this claim through a global analysis of different patterns of growth and maturation. The article delves into six best practice ca…
From interface to inference
Facial expression analysis and machine learning for objective assessment of alcohol craving in alcohol use disorder
Developing an objective system for evaluating alcohol craving has the potential to enhance routine screening, differential diagnosis, and treatment monitoring in alcohol use disorder. Furthermore, integrating facial expression analysis with machine learning may enable the development of reliable craving assessment tools and treatment response prediction models. Such approaches could provide clinicians with evidence-based guidance for psychologica…
The Longitudinal Association Between Habitual Smartphone Use and Peer Attachment
Although many peers socialize online, there is evidence that adolescents who spend too much time online are lonely, depressed, and anxious. This study incorporates habitual smartphone use as a new way of measuring smartphone engagement, based on the shortcomings of simply measuring 'hours spent online'. Drawing on a large 2-year longitudinal study, the current research aims to investigate the association between habitual smartphone use and peer a…
Examining Self-Regulation and Problematic Smartphone Use in Canadian Adolescents
Rethinking smartphone use and attention regulation among adolescents
Fear of Missing Out, Depression, and Problematic Smartphone Use in Canadian Adolescents
INTRODUCTION: Although research has established a link between adolescents' problematic smartphone use and mental health, the nuances and directionality of this relationship remain unclear. This study offers a longitudinal analysis of the relationship between problematic smartphone use, Fear of Missing Out (FoMO), and depression in Canadian adolescents. METHODS: The participants included 1,298 students from Southern British Columbia, Canada (Mage…
Similarity Retention Loss (SRL) Based on Deep Metric Learning for Remote Sensing Image Retrieval
Recently, with the rapid growth of the number of datasets with remote sensing images, it is urgent to propose an effective image retrieval method to manage and use such image data. In this paper, we propose a deep metric learning strategy based on Similarity Retention Loss (SRL) for content-based remote sensing image retrieval. We have improved the current metric learning methods from the following aspects—sample mining, network model structure a…
Impact of Technology on Adolescents (4 obras) · Child Development and Digital Technology (3 obras) · Psychology (3 obras) · Artificial Intelligence (2 obras) · Clinical Psychology (2 obras) · Clinical Psychology (2 obras) · Computer Science (2 obras) · Developmental psychology (2 obras) · Medicine (2 obras) · Mental health (2 obras)