6 citations · 10 across the 4 of their papers we have counts for
4 papers
Active-Passive Federated Learning for Vertically Partitioned Multi-view Data
Jiyuan Liu, Siqi Wang, Xinhang Wan +4
Vertical federated learning is a natural and elegant approach to integrate multi-view data vertically partitioned across devices (clients) while preserving their privacies. Apart f…
Unpaired Multi-View Graph Clustering with Cross-View Structure Matching
Yi Wen, Siwei Wang, Qing Liao +4
Multi-view clustering (MVC), which effectively fuses information from multiple views for better performance, has received increasing attention. Most existing MVC methods assume tha…
RARE: Robust Masked Graph Autoencoder
Wenxuan Tu, Qing Liao, Sihang Zhou +5
Masked graph autoencoder (MGAE) has emerged as a promising self-supervised graph pre-training (SGP) paradigm due to its simplicity and effectiveness. However, existing efforts perf…
Video Abnormal Event Detection by Learning to Complete Visual Cloze Tests
Siqi Wang, Guang Yu, Zhiping Cai +3
Although deep neural networks (DNNs) enable great progress in video abnormal event detection (VAD), existing solutions typically suffer from two issues: (1) The localization of vid…