Social Network Influence Ranking via Embedding Network Interactions for User Recommendation. - Hongbo Bo; Ryan McConville; Jun Hong 001; Weiru Liu (WWW (Companion Volume), 2020)

Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. - Hongbo Bo; Ryan McConville; Jun Hong 001; Weiru Liu (IJCNN, 2021)

Weighted coordinated motion for coupled harmonic oscillators with heterogeneous interactions of cooperation and competition. - Liyun Zhao; Jinchen Ji; Hongbo Bo; Jianfeng Lv (Int. J. Syst. Sci., 2021)

Graph Neural Networks for Interpretable Tactile Sensing. - Wen Fan 001; Hongbo Bo; Yijiong Lin; Yifan Xing; Weiru Liu; Nathan F. Lepora; Dandan Zhang 001 (ICAC, 2022)

Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. - Hongbo Bo; Ryan McConville; Jun Hong 001; Weiru Liu (IJCNN, 2022)

Conditional LS-GAN Based Skylight Polarization Image Restoration and Application in Meridian Localization. - Tian Yang; Hongbo Bo; Xinyu Yang; Jun Gao; Zijian Shi (ICASSP, 2023)

What Will Make Misinformation Spread: An XAI Perspective. - Hongbo Bo; Yiwen Wu; Zinuo You; Ryan McConville; Jun Hong 001; Weiru Liu (xAI (2), 2023)

High-Fidelity Face Swapping with Style Blending. - Xinyu Yang; Hongbo Bo (CoRR, 2023)

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. - Zinuo You; Zijian Shi; Hongbo Bo; John Cartlidge; Li Zhang 131; Yan Ge (ICAART (2), 2024)

Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. - Zinuo You; Zijian Shi; Hongbo Bo; John Cartlidge; Li Zhang 131; Yan Ge (ICAART (Revised Selected Paper, 2), 2024)

AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning. - Pengxiang Wang 003; Hongbo Bo; Jun Hong 001; Weiru Liu; Kedian Mu (ECML/PKDD (3), 2024)

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning. - Jingyu Hu 002; Hongbo Bo; Jun Hong 001; Xiaowei Liu; Weiru Liu (CoRR, 2025)