112 citations · 272 across the 15 of their papers we have counts for
15 papers
Multi-View Fair Clustering Guided by Cross-View Sensitive Information Discrepancy
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
Multi-view clustering (MVC) aims to uncover latent cluster structures by exploiting complementary information from multiple views. Despite substantial progress in clustering perfor…
Clusterability-Based Assessment of Potentially Noisy Views for Multi-View Clustering
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
In multi-view clustering, the quality of different views may vary substantially, and low-quality or degraded views can impair overall clustering performance. However, existing stud…
Phase-Consistent Magnetic Spectral Learning for Multi-View Clustering
Mingdong Lu, Zhikui Chen, Meng Liu +2
Unsupervised multi-view clustering (MVC) aims to partition data into meaningful groups by leveraging complementary information from multiple views without labels, yet a central cha…
Interpretable Fair Clustering
Mudi Jiang, Jiahui Zhou, Xinying Liu +2
Fair clustering has gained increasing attention in recent years, especially in applications involving socially sensitive attributes. However, existing fair clustering methods often…
Adversarial Fair Multi-View Clustering
Mudi Jiang, Jiahui Zhou, Lianyu Hu +3
Cluster analysis is a fundamental problem in data mining and machine learning. In recent years, multi-view clustering has attracted increasing attention due to its ability to integ…
Reputation-based partition scheme for IoT security
Zhikui Chen, Muhammad Zeeshan Haider, Naiwen Luo +4
With the popularity of smart terminals, such as the Internet of Things, crowdsensing is an emerging data aggregation paradigm, which plays a pivotal role in data-driven application…