Normality Learning-based Graph Anomaly Detection via Multi-Scale Contrastive Learning. - Jingcan Duan; Pei Zhang 008; Siwei Wang 001; Jingtao Hu; Hu Jin; Jiaxin Zhang 030; Haifang Zhou; Xinwang Liu 002 (ACM Multimedia, 2023)

Test-Time Training on Graphs with Large Language Models (LLMs). - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; Siwei Wang 001; Yu Feng; Yu Shi; Ruichao Ren; En Zhu; Xinwang Liu 002 (ACM Multimedia, 2024)

A Fully Test-time Training Framework for Semi-supervised Node Classification on Out-of-Distribution Graphs. - Jiaxin Zhang 030; Yiqi Wang 001; Xihong Yang; En Zhu (ACM Trans. Knowl. Discov. Data, 2024)

Enhancing Graph Neural Networks for Graph Classification via Structure-Guided Adaptor. - Wen Yin; Yiqi Wang 001; Jiaxin Zhang 030; Yu Shi; Ruichao Ren; Songlei Jian; Jianfeng Zhang; Yan Ding (CSCWD, 2025)

Mixture of Experts for Node Classification. - Yu Shi; Yiqi Wang 001; WeiXuan Liang; Jiaxin Zhang 030; Pan Dong; Aiping Li (ICMR, 2025)