Guidelines for 5G End to End Architecture and Security Issues. - Ta-Hao Ting; Tsung-Nan Lin; Shan-Hsiang Shen; Yu-Wei Chang 005 (CoRR, 2019)

An Efficient Dynamic Rule Placement for Distributed Firewall in SDN. - Yu-Wei Chang 005; Tsung-Nan Lin (GLOBECOM, 2020)

Federated Dynamic Match-Making for Co-opetition among Participants in Mobility-as-a-Service. - Yu-Wei Chang 005; Tsung-Nan Lin (MetaCom, 2023)

FINISH: Efficient and Scalable NMF-Based Federated Learning for Detecting Malware Activities. - Yu-Wei Chang 005; Hong-Yen Chen; Chansu Han; Tomohiro Morikawa; Takeshi Takahashi 001; Tsung-Nan Lin (IEEE Trans. Emerg. Top. Comput., 2023)

AI-URG: Account Identity-Based Uncertain Graph Framework for Fraud Detection. - Yu-Wei Chang 005; Hsing-Yu Shih; Tsung-Nan Lin (IEEE Trans. Comput. Soc. Syst., 2024)

Toward Trustworthy Artificial Intelligence: An Integrated Framework Approach Mitigating Threats. - Kíng-Pîng Tenn; Yu-Wei Chang 005; Hong-Yen Chen; Teng-Kai Fan; Tsungnan Lin (Computer, 2024)

Enhancing Visitor Forecasting with Target-Concatenated Autoencoder and Ensemble Learning. - Ray-I Chang; Chih-Yung Tsai; Yu-Wei Chang 005 (Mach. Learn. Knowl. Extr., 2024)