3 papers
cs.IR2026
ANCHOR: Agentic Noise Creation Framework for Human Simulation and Denoising Recommendation
Xiangming Li, Hua Chu, Jiaming Liang +3
Distilling accurate user preferences from noisy implicit feedback remains a fundamental bottleneck in recommendation systems, highlighting the need for recommendation denoising. Ho…
cs.IR2025
Diffusion-driven SpatioTemporal Graph KANsformer for Medical Examination Recommendation
Jianan Li, Yangtao Zhou, Zhifu Zhao +5
Recommendation systems in AI-based medical diagnostics and treatment constitute a critical component of AI in healthcare. Although some studies have explored this area and made not…
cs.CV2025
CoCoDiff: Diversifying Skeleton Action Features via Coarse-Fine Text-Co-Guided Latent Diffusion
Zhifu Zhao, Hanyang Hua, Jianan Li +4
In action recognition tasks, feature diversity is essential for enhancing model generalization and performance. Existing methods typically promote feature diversity by expanding th…