52 citations · 112 across the 6 of their papers we have counts for
6 papers
Future-Proofing Programmers: Optimal Knowledge Tracing for AI-Assisted Personalized Education
Yuchen Wang, Pei-Duo Yu, Chee Wei Tan
Learning to learn is becoming a science, driven by the convergence of knowledge tracing, signal processing, and generative AI to model student learning states and optimize educatio…
TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking
Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan
In the age of social media, the rapid spread of misinformation and rumors has led to the emergence of infodemics, where false information poses a significant threat to society. To…
Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models
Pei-Duo Yu, Chee Wei Tan
Identifying the source of epidemic-like spread in networks is crucial for removing internet viruses or finding the source of rumors in online social networks. The challenge lies in…
Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms
Chee Wei Tan, Pei-Duo Yu
This monograph provides an overview of the mathematical theories and computational algorithm design for contagion source detection in large networks. By leveraging network centrali…
DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks with Graph Neural Networks
Chee Wei Tan, Pei-Duo Yu, Siya Chen +1
Digital contact tracing aims to curb epidemics by identifying and mitigating public health emergencies through technology. Backward contact tracing, which tracks the sources of inf…
Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms
Pei-Duo Yu, Chee Wei Tan, Hung-Lin Fu
We study the epidemic source detection problem in contact tracing networks modeled as a graph-constrained maximum likelihood estimation problem using the susceptible-infected model…