· 2018.9 - 2023.6 PhD, University of Auckland (New Zealand)

· 2012.9 - 2015.6 Master of Engineering,Wuhan University of Technology (Wuhan)

· 2008.9 -2012.6 Bachelor of Engineering, Wuhan Institute Of Technology (Wuhan)

. 2015.9 - 2018.9 Guangdong University Of Petrochemical Technology, Lecturer

. 2023.9- Now    Huazhong Agricultural University, Associate Professor

. Signed Graph Neural Networks (SGNNs) (e.g., robust SGNNs, contrastive learning, graph augmentation)

. Interpretable graph neural networks (e.g., Modal regression, Out-of-Distribution Generalization)

. Zeyu Zhang, Jiamou Liu, Kaiqi Zhao, Song Yang, Xianda Zheng, and Yifei Wang. Contrastive Learning for Signed Bipartite Graphs. SIGIR 2023.

. Zeyu Zhang, Jiamou Liu, Xianda Zheng, Yifei Wang, Pengqian Han, Yupan Wang, Kaiqi Zhao, Zijian Zhang. RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. WWW 2023.

. Yifei Wang, Yupan Wang, Zeyu Zhang, Song Yang, Kaiqi Zhao, and Jiamou Liu. User: Unsupervised structural entropy-based robust graph neural network. AAAI 2023.

. Qiqi Wang, Ruofan Wanga, Kaiqi Zhao, Robert Amora, Benjamin Liu, Xianda Zheng, Zeyu Zhang, Zijian Huang. Towards Legal Judgment Summarization: A Structure-Enhanced Approach. ECAI 2023.

Conference reviewer for AAAI, ACMMM, ECAI, WWW