Songhe Feng

10

Papers

17

Total Citations

Papers (10)

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering

AdaptCMVC: Robust Adaption to Incremental Views in Continual Multi-view Clustering

KOALA: Kernel Coupling and Element Imputation Induced Multi-View Clustering

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization

Robust Object Tracking Based on Temporal and Spatial Deep Networks

Deformable Surface Tracking by Graph Matching

Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization

MetaGCD: Learning to Continually Learn in Generalized Category Discovery

Addressing Multi-Label Learning with Partial Labels: From Sample Selection to Label Selection