Chia-Hsun Lu

According to our database, Chia-Hsun Lu authored at least 7 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., December, 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., July, 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., June, 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., June, 2024

Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy.

Lo-Yao Yeh, Sheng-Po Tseng, Chia-Hsun Lu, Chih-Ya Shen

CoRR, 2024

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

Proceedings of the Database Systems for Advanced Applications, 2024

2023

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

Proceedings of the IEEE International Conference on Communications, 2023