Ruyue Liu — accepted AI-conference papers

2026

Structured Discrete Graph Generation Model for Fragmented Image Recovery

Yalong Zhu, Liguo Zhang, Zhibo Wang, Ruyue Liu, Yue Cao, Yunfei Long +1

IJCAI 2026

Fragmented image recovery is of significant importance in computer vision, such as cultural relic and artwork restoration, archival document recovery, and digital forensics. The goal is to recover the original image topology from an unordered set of fragments and spatially align and stitch them toge

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2024

ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network

Ruyue Liu, Rong Yin, Yong Liu, Weiping Wang

AAAI 2024technical

Graph Comparative Learning (GCL) is a self-supervised method that combines the advantages of Graph Convolutional Networks (GCNs) and comparative learning, making it promising for learning node representations. However, the GCN encoders used in these methods rely on the Fourier transform to learn fix…

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