Multi-level Knowledge Integration with Graph Convolutional Network for Cancer Molecular Subtype Classification. - Sujia Huang; Shunxin Xiao; Wenzhe Liu; Jielong Lu; Zhihao Wu 003; Shiping Wang; Jagath C. Rajapakse (BIBM, 2023)

Towards Multi-view Consistent Graph Diffusion. - Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Zhiling Cai; Shiping Wang (ACM Multimedia, 2024)

Geometric localized graph convolutional network for multi-view semi-supervised classification. - Aiping Huang; Jielong Lu; Zhihao Wu 003; Zhaoliang Chen; Yuhong Chen; Shiping Wang; Hehong Zhang (Inf. Sci., 2024)

Generative Essential Graph Convolutional Network for Multi-View Semi-Supervised Classification. - Jielong Lu; Zhihao Wu 003; Luying Zhong; Zhaoliang Chen; Hong Zhao 002; Shiping Wang (IEEE Trans. Multim., 2024)

Adaptive multi-channel contrastive graph convolutional network with graph and feature fusion. - Luying Zhong; Jielong Lu; Zhaoliang Chen; Na Song; Shiping Wang (Inf. Sci., 2024)

Graph neural networks for multi-view learning: a taxonomic review. - Shunxin Xiao; Jiacheng Li; Jielong Lu; Sujia Huang; Bao Zeng; Shiping Wang (Artif. Intell. Rev., 2024)

Dual-channel optimized multi-view learning via information bottleneck. - Jiacheng Li; Yuhong Chen; Jie Lian 006; Jielong Lu; Weiran Liao; Shiping Wang (Knowl. Based Syst., 2025)

Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors. - Jielong Lu; Zhihao Wu 003; Zhiling Cai; Yueyang Pi; Shiping Wang (CoRR, 2025)

Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. - Jielong Lu; Zhihao Wu; Jiajun Yu; Jiajun Bu; Haishuai Wang (CoRR, 2025)