E-GCN: graph convolution with estimated labels. - Jisheng Qin; Xiaoqin Zeng; Shengli Wu 001; E. Tang (Appl. Intell., 2021)

Structural reinforcement-based graph convolutional networks. - Jisheng Qin; Qianqian Wang; Tao Tao (Connect. Sci., 2022)

Feature recommendation strategy for graph convolutional network. - Jisheng Qin; Xiaoqin Zeng; Shengli Wu 001; Yang Zou 001 (Connect. Sci., 2022)

Context-sensitive graph representation learning. - Jisheng Qin; Xiaoqin Zeng; Shengli Wu 001; Yang Zou 001 (Int. J. Mach. Learn. Cybern., 2023)

Heterogeneity Modeling with Flexibility-based Graph Neural Networks. - Jisheng Qin; Tao Tao; Zijie Liu; Haibo Chen; Shenghui Zhao (ISPA, 2024)