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)

A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data. - Jingting Li 002; Chee-Wei Tan 001; Ching Nam Hang; Xintong Qi (L@S, 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)

Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models. - Chee Wei Tan 001; Shangxin Guo; Man-Fai Wong; Ching Nam Hang (CoRR, 2023)

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. - Man-Fai Wong; Shangxin Guo; Ching Nam Hang; Siu-Wai Ho; Chee-Wei Tan 001 (Entropy, 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)

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)

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