| Rumor source detection in finite graphs with boundary effects by message-passing algorithms PD Yu, CW Tan, HL Fu Proceedings of the 2017 IEEE/ACM International Conference on Advances in …, 2017 | 29 | 2017 |
| Epidemic source detection in contact tracing networks: Epidemic centrality in graphs and message-passing algorithms PD Yu, CW Tan, HL Fu IEEE Journal of Selected Topics in Signal Processing 16 (2), 234-249, 2022 | 28 | 2022 |
| Rumor source detection for rumor spreading on random increasing trees M Fuchs, PD Yu | 27 | 2015 |
| Averting cascading failures in networked infrastructures: Poset-constrained graph algorithms PD Yu, CW Tan, HL Fu IEEE Journal of Selected Topics in Signal Processing 12 (4), 733-748, 2018 | 25 | 2018 |
| Optimal detection of influential spreaders in online social networks CW Tan, PD Yu, CK Lai, W Zhang, HL Fu 2016 Annual Conference on Information Science and Systems (CISS), 145-150, 2016 | 24 | 2016 |
| Teaching computational thinking by gamification of k-12 mathematics: Mobile app math games in mathematics and computer science tournament CW Tan, PD Yu, L Lin, CK Fung, CK Lai, Y Cheng Conference Proceedings of International Conference on Computational Thinking …, 2017 | 23 | 2017 |
| Mathematics gamification in mobile app software for personalized learning at scale CW Tan, L Ling, PD Yu, CN Hang, MF Wong 2020 IEEE Integrated STEM Education Conference (ISEC), 1-5, 2020 | 15 | 2020 |
| Teaching computational thinking using mathematics gamification in computer science game tournaments CW Tan, PD Yu, L Lin Computational thinking education, 167-181, 2019 | 14 | 2019 |
| Contagion source detection in epidemic and infodemic outbreaks: Mathematical analysis and network algorithms CW Tan, PD Yu Foundations and Trends® in Networking 13 (2-3), 107-251, 2023 | 12 | 2023 |
| Privacy-enhancing digital contact tracing with machine learning for pandemic response: A comprehensive review CN Hang, YZ Tsai, PD Yu, J Chen, CW Tan Big Data and Cognitive Computing 7 (2), 108, 2023 | 12 | 2023 |
| MCQGen: a large language model-driven MCQ generator for personalized learning CN Hang, CW Tan, PD Yu IEEE Access, 2024 | 11 | 2024 |
| MEGA: Machine learning-enhanced graph analytics for infodemic risk management CN Hang, PD Yu, S Chen, CW Tan, G Chen IEEE Journal of Biomedical and Health Informatics, 2023 | 10 | 2023 |
| Graph algorithms for preventing cascading failures in networks PD Yu, CW Tan, HL Fu 2018 52nd Annual Conference on Information Sciences and Systems (CISS), 1-6, 2018 | 8 | 2018 |
| Large language models meet next-generation networking technologies: A review CN Hang, PD Yu, R Morabito, CW Tan Future Internet 16 (10), 365, 2024 | 7 | 2024 |
| TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking CN Hang, PD Yu, CW Tan 2024 58th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2024 | 7 | 2024 |
| Deeptrace: Learning to optimize contact tracing in epidemic networks with graph neural networks CW Tan, PD Yu, S Chen, HV Poor IEEE Transactions on Signal and Information Processing over Networks 11, 97-113, 2025 | 6 | 2025 |
| Identifying the superspreader in proactive backward contact tracing by deep learning S Chen, PD Yu, CW Tan, HV Poor 2022 56th Annual Conference on Information Sciences and Systems (CISS), 43-48, 2022 | 6 | 2022 |
| Parallel counting of triangles in large graphs: Pruning and hierarchical clustering algorithms CY Kuo, CN Hang, PD Yu, CW Tan 2018 IEEE High Performance extreme Computing Conference (HPEC), 1-6, 2018 | 6 | 2018 |
| Rumor source detection in unicyclic graphs PD Yu, CW Tan, HL Fu 2017 IEEE Information Theory Workshop (ITW), 439-443, 2017 | 6 | 2017 |
| Contagion Source Detection by Maximum Likelihood Estimation and Starlike Graph Approximation PD Yu, L Zheng, CW Tan 2024 58th Annual Conference on Information Sciences and Systems (CISS), 1-6, 2024 | 3 | 2024 |
