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Journal Articles
- 2024
[j4]Ching Nam Hang
, Chee-Wei Tan, Pei-Duo Yu:
MCQGen: A Large Language Model-Driven MCQ Generator for Personalized Learning. IEEE Access 12: 102261-102273 (2024)- 2023
- [j3]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): 108 (2023) - [j2]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): 888 (2023) - [j1]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): 6100-6111 (2023)
Conference and Workshop Papers
- 2024
- [c3]Ching Nam Hang, Pei-Duo Yu, Chee Wei Tan:
TrumorGPT: Query Optimization and Semantic Reasoning over Networks for Automated Fact-Checking. CISS 2024: 1-6 - 2022
- [c2]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: 271-274 - 2018
- [c1]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: 1-6
Informal and Other Publications
- 2023
- [i2]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 abs/2307.02503 (2023) - [i1]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 abs/2307.14349 (2023)
Coauthor Index
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