Similarity-Aware Sampling for Machine Learning-Based Goal-Oriented Subgraph Extraction. - Jhen-Hao Yang; Chih-Ya Shen; Ming-Yi Chang; Ya-Chi Ho; Chia-Hsun Lu (ICC, 2023)

Two Heads Are Better Than One: Teaching MLPs with Multiple Graph Neural Networks via Knowledge Distillation. - Bo-Wei Yang; Ming-Yi Chang; Chia-Hsun Lu; Chih-Ya Shen (DASFAA (4), 2024)

Learning to Augment Graphs: Machine-Learning-Based Social Network Intervention With Self-Supervision. - Chih-Chieh Chang; Chia-Hsun Lu; Ming-Yi Chang; Chao-En Shen; Ya-Chi Ho; Chih-Ya Shen (IEEE Trans. Comput. Soc. Syst., 2024)

Maximizing $(k,L)$-Core With Edge Augmentation in Multilayer Graphs. - Chih-Chieh Chang; Chia-Hsun Lu; Shun-Jen Teng; Ming-Yi Chang; Ya-Chi Ho; Chih-Ya Shen (IEEE Trans. Comput. Soc. Syst., 2024)

Improving graph-based recommendation with unraveled graph learning. - Chih-Chieh Chang; Diing-Ruey Tzeng; Chia-Hsun Lu; Ming-Yi Chang; Chih-Ya Shen (Data Min. Knowl. Discov., 2024)

Budget-Constrained Ego Network Extraction With Maximized Willingness. - Bay-Yuan Hsu; Chia-Hsun Lu; Ming-Yi Chang; Chih-Ying Tseng; Chih-Ya Shen (IEEE Trans. Knowl. Data Eng., 2024)

Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation. - Fa-You Chen; Yun-Jui Hsu; Chia-Hsun Lu; Hong-Han Shuai; Lo-Yao Yeh; Chih-Ya Shen (ACM Trans. Knowl. Discov. Data, 2025)

Auditable Homomorphic-Based Decentralized Collaborative AI With Attribute-Based Differential Privacy. - Lo-Yao Yeh; Sheng-Po Tseng; Chia-Hsun Lu; Chih-Ya Shen (IEEE Trans. Netw. Serv. Manag., 2025)

Efficient Detection of $k$-Plex Structures in Large Graphs Through Constraint Learning. - Hui-Ju Hung; Chia-Hsun Lu; Yun-Ya Huang; Ming-Yi Chang; Ya-Chi Ho; Chih-Ya Shen (IEEE Trans. Comput. Soc. Syst., 2025)