Social Network Influence Ranking via Embedding Network Interactions for User Recommendation. - Hongbo Bo 001; 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 001; Ryan McConville; Jun Hong 001; Weiru Liu (IJCNN, 2021)

Graph Neural Networks for Interpretable Tactile Sensing. - Wen Fan 001; Hongbo Bo 001; 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 001; 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 001; Xinyu Yang; Jun Gao; Zijian Shi (ICASSP, 2023)

What Will Make Misinformation Spread: An XAI Perspective. - Hongbo Bo 001; 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 001 (CoRR, 2023)

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. - Zinuo You; Zijian Shi; Hongbo Bo 001; 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 001; 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 001; Jun Hong 001; Weiru Liu; Kedian Mu (ECML/PKDD (3), 2024)

Quantifying Compositionality of Classic and State-of-the-Art Embeddings. - Zhijin Guo; Chenhao Xue; Zhaozhen Xu; Hongbo Bo 001; Yuxuan Ye; Janet B. Pierrehumbert; Martha Lewis (EMNLP (Findings), 2025)

Multi-agent Deep Reinforcement Learning for Fake News Detection. - Yiwen Wu; Kevin McAreavey; Hongbo Bo 001; Weiru Liu; Ryan McConville (IJCNN, 2025)

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

Failing on Bias Mitigation: A Case Study on the Challenges of Fairness in Government Data. - Hongbo Bo 001; Jingyu Hu 002; Debbie Watson; Weiru Liu (ICAART (4), 2026)

Failing on Bias Mitigation: Investigating Why Predictive Models Struggle with Government Data. - Hongbo Bo 001; Jingyu Hu 002; Debbie Watson; Weiru Liu (CoRR, 2026)

Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts. - Hongbo Bo 001; Jingyu Hu 002; Weiru Liu (CoRR, 2026)