1 citations · 1 across the 5 of their papers we have counts for
5 papers
Risk-Aware Skill-Coverage Hybrid Workforce Configuration on Social Networks
Hui-Ju Hung, Guang-Siang Lee, Chia-Hsun Lu +2
In hybrid workforce configurations, it is important to decide which employees should work onsite or remotely while ensuring the collaboration benefits against contact-based health…
Enhancing Contrastive Link Prediction With Edge Balancing Augmentation
Chen-Hao Chang, Hui-Ju Hung, Chia-Hsun Lu +1
Link prediction is one of the most fundamental tasks in graph mining, which motivates the recent studies of leveraging contrastive learning to enhance the performance. However, we…
Watermarking Kolmogorov-Arnold Networks for Emerging Networked Applications via Activation Perturbation
Chia-Hsun Lu, Guan-Jhih Wu, Ya-Chi Ho +1
With the increasing importance of protecting intellectual property in machine learning, watermarking techniques have gained significant attention. As advanced models are increasing…
Transferring Social Network Knowledge from Multiple GNN Teachers to Kolmogorov-Arnold Networks
Yuan-Hung Chao, Chia-Hsun Lu, Chih-Ya Shen
Graph Neural Networks (GNNs) have shown strong performance on graph-structured data, but their reliance on graph connectivity often limits scalability and efficiency. Kolmogorov-Ar…
Auditable Homomorphic-based Decentralized Collaborative AI with Attribute-based Differential Privacy
Lo-Yao Yeh, Sheng-Po Tseng, Chia-Hsun Lu +1
In recent years, the notion of federated learning (FL) has led to the new paradigm of distributed artificial intelligence (AI) with privacy preservation. However, most current FL s…