activity
20212023
most citedBoosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification

30 citations · 46 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2023★ 1 cited

Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation

Luozhou Wang, Shuai Yang, Shu Liu +1

Conditional diffusion models have demonstrated impressive performance in image manipulation tasks. The general pipeline involves adding noise to the image and then denoising it. Ho…

cs.CV2023★ 11 cited

MGTAB: A Multi-Relational Graph-Based Twitter Account Detection Benchmark

Shuhao Shi, Kai Qiao, Jian Chen +5

The development of social media user stance detection and bot detection methods rely heavily on large-scale and high-quality benchmarks. However, in addition to low annotation qual…

cs.LG2022★ 1 cited

Select and Calibrate the Low-confidence: Dual-Channel Consistency based Graph Convolutional Networks

Shuhao Shi, Jian Chen, Kai Qiao +3

The Graph Convolutional Networks (GCNs) have achieved excellent results in node classification tasks, but the model's performance at low label rates is still unsatisfactory. Previo…

cs.CV2021★ 3 cited

ShapeEditer: a StyleGAN Encoder for Face Swapping

Shuai Yang, Kai Qiao

In this paper, we propose a novel encoder, called ShapeEditor, for high-resolution, realistic and high-fidelity face exchange. First of all, in order to ensure sufficient clarity a…

cs.LG2021★ 30 cited

Boosting-GNN: Boosting Algorithm for Graph Networks on Imbalanced Node Classification

S. Shi, Kai Qiao, Shuai Yang +3

The Graph Neural Network (GNN) has been widely used for graph data representation. However, the existing researches only consider the ideal balanced dataset, and the imbalanced dat…