Zhi-Ze Wu

SVAttack: Spatial-Viewpoint Transfer Attack on Graph Convolutional Skeleton Action Recognition

MG2CL: Multi-Granularity Graph Contrastive Learning for Skeleton-Based Action Recognition

Skeleton-based action recognition has gained increasing attention as a robust alternative to RGB-based methods due to its resilience to background clutter and lighting variations. Existing approaches have achieved notable progress, particularly with graph-based models that capture topological and temporal patterns of h...

DMatch: distinguish confusing classes with unlabeled data for semi-supervised learning (ChinaMM 2026)

Towards source-free domain adaptation: a model-heterogeneous perspective

A Peer-level Heterogeneous Perception Framework is proposed that departs from such paradigms by enabling balanced collaboration between heterogeneous models by introducing an auxiliary domain that is significantly different from the target domain and employ an auxiliary model with the same architecture as the source mo...

When Frequency Fitness Assignment Fails: Trapped States in Frequency-Guided Local Search

This article discovers a condition under which purely FFA-guided search can actually get stuck, even on a problem as simple as OneMax, and suggests hybrid approaches combining objective-guided and FFA-guided search.

Fourier fusion and dual-path attention enhancement network for medical image segmentation

FFDA-Net introduces a Fourier feature fusion module, which selectively retains relevant features in the skip connections while suppressing irrelevant ones, thereby alleviating the issue of information interference caused by semantic differences when fusing features at different resolutions.