Ching Nam Hang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 9

Top Topics

Machine Learning

Natural Language Generation

Hierarchical Clustering Algorithms

Top Venues

IEEE J. Biomed. Health Informatics

Big Data Cogn. Comput.

Publications

Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan
TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking. CISS (2024)
Ching Nam Hang, Chee-Wei Tan, Pei-Duo Yu
MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning. IEEE Access 12 (2024)
Chee Wei Tan, Shangxin Guo, Man-Fai Wong, Ching Nam Hang
Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models. CoRR (2023)
Ching Nam Hang, Pei-Duo Yu, Siya Chen, Chee-Wei Tan, Guanrong Chen
MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management. IEEE J. Biomed. Health Informatics 27 (12) (2023)
Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. CoRR (2023)
Man-Fai Wong, Shangxin Guo, Ching Nam Hang, Siu-Wai Ho, Chee-Wei Tan
Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review. Entropy 25 (6) (2023)
Ching Nam Hang, Yi-Zhen Tsai, Pei-Duo Yu, Jiasi Chen, Chee-Wei Tan
Privacy-Enhancing Digital Contact Tracing with Machine Learning for Pandemic Response: A Comprehensive Review. Big Data Cogn. Comput. 7 (2) (2023)
Jingting Li, Chee-Wei Tan, Ching Nam Hang, Xintong Qi
A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data. L@S (2022)
Chun-Yen Kuo, Ching Nam Hang, Pei-Duo Yu, Chee-Wei Tan
Parallel Counting of Triangles in Large Graphs: Pruning and Hierarchical Clustering Algorithms. HPEC (2018)