Ming-Yi Chang
Biographic Data
| ID | 164583 |
|---|---|
| NAME | Ming-Yi Chang |
| GIVEN NAMES | Ming-Yi |
| FAMILY NAME | Chang |
| SIGNATURE | CHANG M |
| AFFILIATIONS | Fu Jen Catholic University |
| ORCID | 0000-0001-6422-0246 |
| VERIFIED | Yes |
| TOTAL WORKS | 7 |
| TOTAL CITATIONS | 9 |
| WORKS AS AUTHOR | 7 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Misinformation Detection via LLM-Based Expert Discussion Network
Learning to Augment Graphs
This article proposes a machine learning (ML)-based approach to solve a graph optimization problem, named network intervention with limited degradation (NILD), which aims at adding new edges to augment the graph to minimize the local clustering coefficient (LCC) of a target node. The main application of NILD is to perform network intervention , to improve the mental well-being of individuals. This article proposes a new framework, named network i…
Detecting Targets of Graph Adversarial Attacks With Edge and Feature Perturbations
Graph neural networks (GNNs) enable many novel applications and achieve excellent performance. However, their performance may be significantly degraded by the graph adversarial attacks, which intentionally add small perturbations to the graph. Previous countermeasures usually handle such attacks by enhancing model robustness. However, robust models cannot identify the target nodes of the adversarial attacks, and thus we are unable to pinpoint the…
Predicting network members from partial contact records on social media
Learning to Extract Expert Teams in Social Networks
Finding a set of suitable experts with minimized communication overhead to perform a complex task finds a wide spectrum of applications in industry, education, and other scenarios. This class of problems, widely formulated as forming a team of experts in social networks (i.e., team formation problem), is very challenging due to its NP-hardness and has attracted much research attention. Although various effective and elegant algorithms have been p…
From indirect to direct contacts on Facebook
The rise of the Big Data paradigm has made it more feasible to track how personal networks evolve on social media, where auto-generated contact records and fine-grained temporal data sequences help capture how and when interpersonal ties and contacts change their roles. Using a sample of matched survey data and social media records, we investigated the mechanisms by which indirect contacts ("degree-2 alters") transform into direct contacts ("degr…
The Psychological Well-Being of Taiwanese Youth
This study examines the growth trajectory of the psychological well-being of Taiwanese adolescents from early to late adolescence. Under the competitive educational system in Taiwan, family and school context are two major loci accounting for the developmental outcome. Data are taken from the Taiwan Youth Project, which is a longitudinal panel study of 2696 students since the year 2000. The study uses individual depressive symptoms as the depende…
The Psychological Well-Being of Taiwanese Youth
This study examines the growth trajectory of the psychological well-being of Taiwanese adolescents from early to late adolescence. Under the competitive educational system in Taiwan, family and school context are two major loci accounting for the developmental outcome. Data are taken from the Taiwan Youth Project, which is a longitudinal panel study of 2696 students since the year 2000. The study uses individual depressive symptoms as the depende…
The Psychological Well-Being of Taiwanese Youth
This study examines the growth trajectory of the psychological well-being of Taiwanese adolescents from early to late adolescence. Under the competitive educational system in Taiwan, family and school context are two major loci accounting for the developmental outcome. Data are taken from the Taiwan Youth Project, which is a longitudinal panel study of 2696 students since the year 2000. The study uses individual depressive symptoms as the depende…
Learning to Extract Expert Teams in Social Networks
Finding a set of suitable experts with minimized communication overhead to perform a complex task finds a wide spectrum of applications in industry, education, and other scenarios. This class of problems, widely formulated as forming a team of experts in social networks (i.e., team formation problem), is very challenging due to its NP-hardness and has attracted much research attention. Although various effective and elegant algorithms have been p…
From indirect to direct contacts on Facebook
The rise of the Big Data paradigm has made it more feasible to track how personal networks evolve on social media, where auto-generated contact records and fine-grained temporal data sequences help capture how and when interpersonal ties and contacts change their roles. Using a sample of matched survey data and social media records, we investigated the mechanisms by which indirect contacts ("degree-2 alters") transform into direct contacts ("degr…
Learning to Augment Graphs
This article proposes a machine learning (ML)-based approach to solve a graph optimization problem, named network intervention with limited degradation (NILD), which aims at adding new edges to augment the graph to minimize the local clustering coefficient (LCC) of a target node. The main application of NILD is to perform network intervention , to improve the mental well-being of individuals. This article proposes a new framework, named network i…
Detecting Targets of Graph Adversarial Attacks With Edge and Feature Perturbations
Graph neural networks (GNNs) enable many novel applications and achieve excellent performance. However, their performance may be significantly degraded by the graph adversarial attacks, which intentionally add small perturbations to the graph. Previous countermeasures usually handle such attacks by enhancing model robustness. However, robust models cannot identify the target nodes of the adversarial attacks, and thus we are unable to pinpoint the…
Predicting network members from partial contact records on social media
Misinformation Detection via LLM-Based Expert Discussion Network
Artificial Intelligence (4 works) · Computer Science (4 works) · Complex Network Analysis Techniques (3 works) · Graph (3 works) · Machine learning (3 works) · Psychology (3 works) · Theoretical Computer Science (3 works) · Advanced Graph Neural Networks (2 works) · Embedding (2 works) · Expert finding and Q&A systems (2 works)