Chia-Hsun Lu

20 papers A 2B 2Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Attacking Community Detection With Bounded Neighborhood Expansion and Edge Augmentation.
IEEE Trans. Knowl. Data Eng.
Bay-Yuan Hsu, Chia-Hsun Lu, Yu-Wei Chang, Ming-Yi Chang, Chih-Ya Shen
2026 J jnl
Risk-Aware Skill-Coverage Hybrid Workforce Configuration on Social Networks.
CoRR
Hui-Ju Hung, Guang-Siang Lee, Chia-Hsun Lu, Chih-Ya Shen, De-Nian Yang
2025 J jnl
Auditable Homomorphic-Based Decentralized Collaborative AI With Attribute-Based Differential Privacy.
IEEE Trans. Netw. Serv. Manag.
Lo-Yao Yeh, Sheng-Po Tseng, Chia-Hsun Lu, Chih-Ya Shen
2025 J jnl
Compressing Deep Neural Networks with Goal-Specific Pruning and Self-Distillation.
ACM Trans. Knowl. Discov. Data
Fa-You Chen, Yun-Jui Hsu, Chia-Hsun Lu, Hong-Han Shuai, Lo-Yao Yeh, Chih-Ya Shen
2025 J jnl
Diversifying Graph Augmentation for Learning to Solve Graph Optimization Problems.
IEEE Trans. Knowl. Data Eng.
Bay-Yuan Hsu, Chen-Hsu Yang, Chia-Hsun Lu, Ming-Yi Chang, Lo-Yao Yeh, Chih-Ya Shen
2025 J jnl
Efficient Detection of $k$-Plex Structures in Large Graphs Through Constraint Learning.
IEEE Trans. Comput. Soc. Syst.
Hui-Ju Hung, Chia-Hsun Lu, Yun-Ya Huang, Ming-Yi Chang, Ya-Chi Ho, Chih-Ya Shen
2025 A conf
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation.
CIKM
Chen-Hao Chang, Hui-Ju Hung, Chia-Hsun Lu, Chih-Ya Shen
2025 J jnl
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation.
CoRR
Chen-Hao Chang, Hui-Ju Hung, Chia-Hsun Lu, Chih-Ya Shen
2025 A conf
Model-Agonistic Iterative Graph Diversification for Improving Learning to Solve Graph Optimization Problems.
CIKM
Bay-Yuan Hsu, Chia-Hsun Lu, Chih-Ya Shen
2025 B conf
Transferring Social Network Knowledge from Multiple GNN Teachers to Kolmogorov-Arnold Networks.
GLOBECOM
Yuan-Hung Chao, Chia-Hsun Lu, Chih-Ya Shen
2025 J jnl
Transferring Social Network Knowledge from Multiple GNN Teachers to Kolmogorov-Arnold Networks.
CoRR
Yuan-Hung Chao, Chia-Hsun Lu, Chih-Ya Shen
2025 B conf
Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation.
GLOBECOM
Chia-Hsun Lu, Guan-Jhih Wu, Ya-Chi Ho, Chih-Ya Shen
2025 J jnl
Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation.
CoRR
Chia-Hsun Lu, Guan-Jhih Wu, Ya-Chi Ho, Chih-Ya Shen
2024 J jnl
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy.
CoRR
Lo-Yao Yeh, Sheng-Po Tseng, Chia-Hsun Lu, Chih-Ya Shen
2024 J jnl
Budget-Constrained Ego Network Extraction With Maximized Willingness.
IEEE Trans. Knowl. Data Eng.
Bay-Yuan Hsu, Chia-Hsun Lu, Ming-Yi Chang, Chih-Ying Tseng, Chih-Ya Shen
2024 J jnl
Improving graph-based recommendation with unraveled graph learning.
Data Min. Knowl. Discov.
Chih-Chieh Chang, Diing-Ruey Tzeng, Chia-Hsun Lu, Ming-Yi Chang, Chih-Ya Shen
2024 J jnl
Learning to Augment Graphs: Machine-Learning-Based Social Network Intervention With Self-Supervision.
IEEE Trans. Comput. Soc. Syst.
Chih-Chieh Chang, Chia-Hsun Lu, Ming-Yi Chang, Chao-En Shen, Ya-Chi Ho, Chih-Ya Shen
2024 J jnl
Maximizing $(k,L)$-Core With Edge Augmentation in Multilayer Graphs.
IEEE Trans. Comput. Soc. Syst.
Chih-Chieh Chang, Chia-Hsun Lu, Shun-Jen Teng, Ming-Yi Chang, Ya-Chi Ho, Chih-Ya Shen
2024 — conf
Two Heads Are Better Than One: Teaching MLPs with Multiple Graph Neural Networks via Knowledge Distillation.
DASFAA (4)
Bo-Wei Yang, Ming-Yi Chang, Chia-Hsun Lu, Chih-Ya Shen
2023 — conf
Similarity-Aware Sampling for Machine Learning-Based Goal-Oriented Subgraph Extraction.
ICC
Jhen-Hao Yang, Chih-Ya Shen, Ming-Yi Chang, Ya-Chi Ho, Chia-Hsun Lu