Ching Nam Hang

According to our database, Ching Nam Hang authored at least 8 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning.

Ching Nam Hang, Chee-Wei Tan, Pei-Duo Yu

IEEE Access, 2024

TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking.

Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan

Proceedings of the 58th Annual Conference on Information Sciences and Systems, 2024

2023

MEGA: Machine Learning-Enhanced Graph Analytics for Infodemic Risk Management.

Ching Nam Hang, Pei-Duo Yu, Siya Chen, Chee-Wei Tan, Guanrong Chen

IEEE J. Biomed. Health Informatics, December, 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

Entropy, June, 2023

Copilot for Xcode: Exploring AI-Assisted Programming by Prompting Cloud-based Large Language Models.

Chee Wei Tan, Shangxin Guo, Man-Fai Wong, Ching Nam Hang

CoRR, 2023

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

Big Data Cogn. Comput., 2023

2022

A Chatbot-Server Framework for Scalable Machine Learning Education through Crowdsourced Data.

Jingting Li, Chee-Wei Tan, Ching Nam Hang, Xintong Qi

Proceedings of the L@S'22: Ninth ACM Conference on Learning @ Scale, New York City, NY, USA, June 1, 2022

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

Proceedings of the 2018 IEEE High Performance Extreme Computing Conference, 2018