OGT: optimize graph then training GNNs for node classification. - Quanmin Wei; Jinyan Wang; Jun Hu; Xianxian Li; Tong Yi (Neural Comput. Appl., 2022)

Learning Graph Neural Networks on Feature-Missing Graphs. - Jun Hu; Jinyan Wang; Quanmin Wei; Du Kai; Xianxian Li (KSEM (1), 2023)

A two-phase random forest with differential privacy. - Jing Liu; Xianxian Li; Quanmin Wei; Songfeng Liu; Zhaohui Liu; Jinyan Wang (Appl. Intell., 2023)

AIC-GNN: Adversarial information completion for graph neural networks. - Quanmin Wei; Jinyan Wang; Xingcheng Fu; Jun Hu; Xianxian Li (Inf. Sci., 2023)

CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning. - Quanmin Wei; Penglin Dai; Wei Li 110; Bingyi Liu; Xiao Wu 001 (AAAI, 2025)