Modeling Heterogeneous Edges to Represent Networks with Graph Auto-Encoder. - Lu Wang 002; Yu Song 005; Hong Huang 001; Fanghua Ye 001; Xuanhua Shi; Hai Jin 001 (DASFAA (2), 2020)

Multi-Task Representation Learning with Multi-View Graph Convolutional Networks. - Hong Huang 001; Yu Song 005; Yao Wu; Jia Shi; Xia Xie; Hai Jin 001 (CoRR, 2021)

Enhancing Graph Neural Networks via auxiliary training for semi-supervised node classification. - Yao Wu; Yu Song 005; Hong Huang 001; Fanghua Ye 001; Xing Xie 001; Hai Jin 001 (Knowl. Based Syst., 2021)

Mining World Indicators for Analyzing and Modeling the Development of Countries. - Hong Huang 001; Mingyuan Chi; Yu Song 005; Hai Jin 001 (Trans. Data Sci., 2021)

Multi-Stage Network Embedding for Exploring Heterogeneous Edges. - Hong Huang 001; Yu Song 005; Fanghua Ye 001; Xing Xie 001; Xuanhua Shi; Hai Jin 001 (ACM Trans. Knowl. Discov. Data, 2021)

Show Me the Whole World: Towards Entire Item Space Exploration for Interactive Personalized Recommendations. - Yu Song 005; Shuai Sun; Jianxun Lian; Hong Huang 001; Yu Li; Hai Jin 001; Xing Xie 001 (WSDM, 2022)

Multitask Representation Learning With Multiview Graph Convolutional Networks. - Hong Huang 001; Yu Song 005; Yao Wu; Jia Shi; Xia Xie; Hai Jin 001 (IEEE Trans. Neural Networks Learn. Syst., 2022)

Modeling Information Diffusion With Sequential Interactive Hypergraphs. - Hai Jin 001; Yao Wu; Hong Huang 001; Yu Song 005; HaoHui Wei; Xuanhua Shi (IEEE Trans. Sustain. Comput., 2022)

Soft-GNN: towards robust graph neural networks via self-adaptive data utilization. - Yao Wu; Hong Huang 001; Yu Song 005; Hai Jin 001 (Frontiers Comput. Sci., 2025)