VirPreNet: a weighted ensemble convolutional neural network for the virulence prediction of influenza A virus using all eight segments. - Rui Yin 002; Zihan Luo 001; Pei Zhuang; Zhuoyi Lin; Chee Keong Kwoh 001 (Bioinform., 2021)

Ada-GNN: Adapting to Local Patterns for Improving Graph Neural Networks. - Zihan Luo 001; Jianxun Lian; Hong Huang 001; Hai Jin 001; Xing Xie 001 (WSDM, 2022)

Cross-links Matter for Link Prediction: Rethinking the Debiased GNN from a Data Perspective. - Zihan Luo 001; Hong Huang 001; Jianxun Lian; Xiran Song; Xing Xie 001; Hai Jin 001 (NeurIPS, 2023)

xGCN: An Extreme Graph Convolutional Network for Large-scale Social Link Prediction. - Xiran Song; Jianxun Lian; Hong Huang 001; Zihan Luo 001; Wei Zhou; Xue Lin 005; Mingqi Wu; Chaozhuo Li; Xing Xie 001; Hai Jin 001 (WWW, 2023)

ViPal: A framework for virulence prediction of influenza viruses with prior viral knowledge using genomic sequences. - Rui Yin 002; Zihan Luo 001; Pei Zhuang; Min Zeng; Min Li 007; Zhuoyi Lin; Chee Keong Kwoh 001 (J. Biomed. Informatics, 2023)

Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections. - Zihan Luo 001; Hong Huang 001; Yongkang Zhou; Jiping Zhang; Nuo Chen; Hai Jin 001 (NeurIPS, 2024)

GraphInstruct: Empowering Large Language Models with Graph Understanding and Reasoning Capability. - Zihan Luo 001; Xiran Song; Hong Huang 001; Jianxun Lian; Chenhao Zhang 005; Jinqi Jiang; Xing Xie 001 (CoRR, 2024)

Towards Controllable Hybrid Fairness in Graph Neural Networks. - Zihan Luo 001; Hong Huang 001; Jianxun Lian; Xiran Song; Hai Jin 001 (KDD (1), 2025)