Optimal detection of influential spreaders in online social networks. - Chee Wei Tan 001; Pei-Duo Yu; Chun-Kiu Lai; Wenyi Zhang 001; Hung-Lin Fu (CISS, 2016)

Rumor Source Detection in Finite Graphs with Boundary Effects by Message-passing Algorithms. - Pei-Duo Yu; Chee Wei Tan 001; Hung-Lin Fu (ASONAM, 2017)

Rumor source detection in unicyclic graphs. - Pei-Duo Yu; Chee-Wei Tan 001; Hung-Lin Fu (ITW, 2017)

Graph algorithms for preventing cascading failures in networks. - Pei-Duo Yu; Chee-Wei Tan 001; Hung-Lin Fu (CISS, 2018)

Parallel Counting of Triangles in Large Graphs: Pruning and Hierarchical Clustering Algorithms. - Chun-Yen Kuo; Ching Nam Hang; Pei-Duo Yu; Chee-Wei Tan 001 (HPEC, 2018)

Averting Cascading Failures in Networked Infrastructures: Poset-Constrained Graph Algorithms. - Pei-Duo Yu; Chee-Wei Tan 001; Hung-Lin Fu (IEEE J. Sel. Top. Signal Process., 2018)

Network Centralities as Statistical Inference for Large Networks: Combinatorics, Probability and Efficient Graph Algorithms. - Pei-Duo Yu (SIGMETRICS Perform. Evaluation Rev., 2019)

Rumor Source Detection in Finite Graphs with Boundary Effects by Message-Passing Algorithms. - Pei-Duo Yu; Chee-Wei Tan 001; Hung-Lin Fu (Influence and Behavior Analysis in Social Networks and Social Media, 2019)

Identifying the Superspreader in Proactive Backward Contact Tracing by Deep Learning. - Siya Chen; Pei-Duo Yu; Chee-Wei Tan 001; H. Vincent Poor (CISS, 2022)

Epidemic Source Detection in Contact Tracing Networks: Epidemic Centrality in Graphs and Message-Passing Algorithms. - Pei-Duo Yu; Chee Wei Tan 001; Hung-Lin Fu (IEEE J. Sel. Top. Signal Process., 2022)

Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review. - Ching Nam Hang; Yi-Zhen Tsai; Pei-Duo Yu; Jiasi Chen; Chee-Wei Tan 001 (Big Data Cogn. Comput., 2023)

Contagion Source Detection in Epidemic and Infodemic Outbreaks: Mathematical Analysis and Network Algorithms. - Chee-Wei Tan 001; Pei-Duo Yu (Found. Trends Netw., 2023)

MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management. - Ching Nam Hang; Pei-Duo Yu; Siya Chen; Chee-Wei Tan 001; Guanrong Chen (IEEE J. Biomed. Health Informatics, 2023)

TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking. - Ching Nam Hang; Pei-Duo Yu; Chee Wei Tan 001 (CISS, 2024)

Contagion Source Detection by Maximum Likelihood Estimation and Starlike Graph Approximation. - Pei-Duo Yu; Liang Zheng 002; Chee Wei Tan 001 (CISS, 2024)

MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning. - Ching Nam Hang; Chee-Wei Tan 001; Pei-Duo Yu (IEEE Access, 2024)

Large Language Models Meet Next-Generation Networking Technologies: A Review. - Ching Nam Hang; Pei-Duo Yu; Roberto Morabito; Chee-Wei Tan 001 (Future Internet, 2024)

DeepTrace: Learning to Optimize Contact Tracing in Epidemic Networks With Graph Neural Networks. - Chee-Wei Tan 001; Pei-Duo Yu; Siya Chen; H. Vincent Poor (IEEE Trans. Signal Inf. Process. over Networks, 2025)

Unraveling the Viral Spread of Misinformation: Maximum-Likelihood Estimation and Starlike Tree Approximation in Markovian Spreading Models. - Pei-Duo Yu; Chee-Wei Tan 001 (IEEE Trans. Signal Process., 2025)

TrumorGPT: Graph-Based Retrieval-Augmented Large Language Model for Fact-Checking. - Ching Nam Hang; Pei-Duo Yu; Chee-Wei Tan 001 (CoRR, 2025)