Chia-Hsun Lu

According to our database, Chia-Hsun Lu authored at least 16 papers between 2023 and 2026.

Collaborative distances:

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

2026

Attacking Community Detection With Bounded Neighborhood Expansion and Edge Augmentation.

Bay-Yuan Hsu, Chia-Hsun Lu, Yu-Wei Chang, Ming-Yi Chang, Chih-Ya Shen

IEEE Trans. Knowl. Data Eng., February, 2026

Risk-Aware Skill-Coverage Hybrid Workforce Configuration on Social Networks.

Hui-Ju Hung, Guang-Siang Lee, Chia-Hsun Lu, Chih-Ya Shen, De-Nian Yang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2026

2025

Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems.

Bay-Yuan Hsu, Chen-Hsu Yang, Chia-Hsun Lu, Ming-Yi Chang, Lo-Yao Yeh, Chih-Ya Shen

IEEE Trans. Knowl. Data Eng., December, 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., August, 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., April, 2025

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

Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation.

Chia-Hsun Lu, Guan-Jhih Wu, Ya-Chi Ho, Chih-Ya Shen

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Transferring Social Network Knowledge from Multiple GNN Teachers to Kolmogorov-Arnold Networks.

Yuan-Hung Chao, Chia-Hsun Lu, Chih-Ya Shen

Proceedings of the 2025 IEEE Global Communications Conference, 2025

Model-Agonistic Iterative Graph Diversification for Improving Learning to Solve Graph Optimization Problems.

Bay-Yuan Hsu, Chia-Hsun Lu, Chih-Ya Shen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Enhancing Contrastive Link Prediction With Edge Balancing Augmentation.

Chen-Hao Chang, Hui-Ju Hung, Chia-Hsun Lu, Chih-Ya Shen

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

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