Jiaqi Jin

5

Papers

10

Total Citations

Papers (5)

Automatically Identify and Rectify: Robust Deep Contrastive Multi-view Clustering in Noisy Scenarios

Enhanced then Progressive Fusion with View Graph for Multi-View Clustering

Deep Incomplete Multi-view Clustering with Distribution Dual-Consistency Recovery Guidance

Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning

Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence