32 citations · 89 across the 11 of their papers we have counts for
5 papers · 1 filter
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs
Sheng Tian, Jihai Dong, Jintang Li +7
Anomaly detection aims to distinguish abnormal instances that deviate significantly from the majority of benign ones. As instances that appear in the real world are naturally conne…
Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs
Jintang Li, Sheng Tian, Ruofan Wu +6
The prevalence of large-scale graphs poses great challenges in time and storage for training and deploying graph neural networks (GNNs). Several recent works have explored solution…
AxWin Transformer: A Context-Aware Vision Transformer Backbone with Axial Windows
Fangjian Lin, Yizhe Ma, Sitong Wu +2
Recently Transformer has shown good performance in several vision tasks due to its powerful modeling capabilities. To reduce the quadratic complexity caused by the attention, some…
Exploring vision transformer layer choosing for semantic segmentation
Fangjian Lin, Yizhe Ma, Shengwei Tian
Extensive work has demonstrated the effectiveness of Vision Transformers. The plain Vision Transformer tends to obtain multi-scale features by selecting fixed layers, or the last l…
PRSeg: A Lightweight Patch Rotate MLP Decoder for Semantic Segmentation
Yizhe Ma, Fangjian Lin, Sitong Wu +2
The lightweight MLP-based decoder has become increasingly promising for semantic segmentation. However, the channel-wise MLP cannot expand the receptive fields, lacking the context…