3 papers
cs.SI2026
Revisiting Degree-Corrected Spectral Clustering: a Condition-Free Spectral Analysis and Extension
Wei Li, Xiaojian Li, Meng Qin +4
Spectral clustering is a representative graph clustering technique with strong interpretability and theoretical guarantees. Degree-corrected spectral clustering (DCSC) has emerged…
cs.LG2026
A Spectral Theory of Normalized Corrected GNN Propagation
Qihan Chen, Wei Li, Meng Qin +1
We develop a spectral theory for \emph{normalized corrected GNN propagation}. The object of study is the symmetric normalized adjacency with its degree-stationary component removed…
cs.CV2026
C^2GR: Coupled Comprehensive Generative Replay for a Continually Learnable Universal Segmentation Model
Wei Li, Jingyang Zhang, Guoan Wang +4
Universal segmentation models exhibit significant potential for diverse tasks involving different imaging modalities and segmentation objectives. Task-Incremental Learning provides…