most citedSMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering

3 citations · 5 across the 4 of their papers we have counts for

collaborators

5 papers

cs.LG2026

More Sensors Only One Field: Rethinking Continual Spatio-Temporal Forecasting

Lewei Xie, Haoyu Zhang, Jiajun Zhou +6

Continual spatio-temporal forecasting supports traffic management and environmental monitoring under evolving dynamics and expanding sensor networks. However, conventional graph-ba…

cs.CV2025★ 3 cited

SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering

Liang Peng, Yixuan Ye, Cheng Liu +5

Multi-view clustering has been empirically shown to improve learning performance by leveraging the inherent complementary information across multiple views of data. However, in rea…

cs.SI2025★ 2 cited

Trustworthy Neighborhoods Mining: Homophily-Aware Neutral Contrastive Learning for Graph Clustering

Liang Peng, Yixuan Ye, Cheng Liu +4

Recently, neighbor-based contrastive learning has been introduced to effectively exploit neighborhood information for clustering. However, these methods rely on the homophily assum…

cs.AI2025

Refinement Contrastive Learning of Cell-Gene Associations for Unsupervised Cell Type Identification

Liang Peng, Haopeng Liu, Yixuan Ye +4

Unsupervised cell type identification is crucial for uncovering and characterizing heterogeneous populations in single cell omics studies. Although a range of clustering methods ha…

cs.CV2025

Discrete Prior-based Temporal-coherent Content Prediction for Blind Face Video Restoration

Lianxin Xie, Bingbing Zheng, Wen Xue +5

Blind face video restoration aims to restore high-fidelity details from videos subjected to complex and unknown degradations. This task poses a significant challenge of managing te…