Semantic Preference-Based Personalized Recommendation on Heterogeneous Information Network. - Liang Hu 001; Yu Wang 152; Zhenzhen Xie; Feng Wang 014 (IEEE Access, 2017)

Learning flexible network representation via anonymous walks. - Yu Wang 152; Liang Hu 001; Wanfu Gao (Knowl. Based Syst., 2021)

Graph Multihead Attention Pooling with Self-Supervised Learning. - Yu Wang 152; Liang Hu 001; Yang Wu; Wanfu Gao (Entropy, 2022)

AdaNS: Adaptive negative sampling for unsupervised graph representation learning. - Yu Wang 152; Liang Hu 001; Wanfu Gao; Xiaofeng Cao 002; Yi Chang 001 (Pattern Recognit., 2023)

Signed attention based graph neural network for graphs with heterophily. - Yang Wu; Liang Hu 001; Yu Wang 152 (Neurocomputing, 2023)

DCGNN: Adaptive deep graph convolution for heterophily graphs. - Yang Wu; Yu Wang 152; Liang Hu 001; Juncheng Hu (Inf. Sci., 2024)

Enhancing Locally Adaptive Smoothing of Graph Neural Networks Via Laplacian Node Disagreement. - Yu Wang 152; Liang Hu 001; Xiaofeng Cao 002; Yi Chang 001; Ivor W. Tsang (IEEE Trans. Knowl. Data Eng., 2024)

ADAC: Actor-Double-Attention-Critic for Multi-Agent Cooperation in Mixed Cooperative-Competitive Environments. - He Kong; Qianli Xing 002; Qi Wang 078; Runliang Niu; Hechang Chen; Yu Wang 152; Shiqi Wang 006; Zhiyi Duan; Yi Chang 001 (IEEE Trans. Intell. Transp. Syst., 2025)