contrastive learning 1heterogeneous noise 1multi-view clustering 1quality-aware weighting 1robust learning 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.CV2026
Quality-Aware Robust Multi-View Clustering for Heterogeneous Observation Noise
Peihan Wu, Guanjie Cheng, Yufei Tong +2
The paper introduces QARMVC, a quality‑aware robust multi‑view clustering framework that estimates fine‑grained noise levels via reconstruction errors and uses instance‑level quali…
eess.IV2026
SatFusion: A Unified Framework for Enhancing Remote Sensing Images via Multi-Frame and Multi-Source Images Fusion
Yufei Tong, Guanjie Cheng, Peihan Wu +3
High-quality remote sensing (RS) image acquisition is fundamentally constrained by physical limitations. While Multi-Frame Super-Resolution (MFSR) and Pansharpening address this by…
cs.LG2025
DyC-STG: Dynamic Causal Spatio-Temporal Graph Network for Real-time Data Credibility Analysis in IoT
Guanjie Cheng, Boyi Li, Peihan Wu +4
The wide spreading of Internet of Things (IoT) sensors generates vast spatio-temporal data streams, but ensuring data credibility is a critical yet unsolved challenge for applicati…