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Central China Normal University, University of Chinese Academy of Sciences
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Structured anomaly detection in high-dimensional tensors no longer requires choosing between expensive rank regularization and rigid manual priors: dynamic latent grouping can capture coherent anomalies directly from sparse factorizations.
Traffic prediction accuracy can be maintained even under severe data missingness using a novel multi-view approach that adapts in real-time.
Forget noisy pseudo-labels: SpatialEvo unlocks self-supervised 3D spatial reasoning by generating perfectly accurate training data directly from scene geometry.
Multimodal LLMs still struggle to faithfully recreate webpages from videos, particularly in capturing fine-grained style and motion, despite advances in other areas.
