| 2026 | ICAART | Failing on Bias Mitigation: A Case Study on the Challenges of Fairness in Government Data. | Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu |
| 2025 | EMNLP | Quantifying Compositionality of Classic and State-of-the-Art Embeddings. | Zhijin Guo, Chenhao Xue, Zhaozhen Xu, Hongbo Bo, Yuxuan Ye, Janet B. Pierrehumbert, Martha Lewis |
| 2025 | IJCNN | Multi-agent Deep Reinforcement Learning for Fake News Detection. | Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville |
| 2024 | ICAART | DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. | Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge |
| 2024 | ICAART | Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach. | Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge |
| 2023 | ICASSP | Conditional LS-GAN Based Skylight Polarization Image Restoration and Application in Meridian Localization. | Tian Yang, Hongbo Bo, Xinyu Yang, Jun Gao, Zijian Shi |
| 2022 | IJCNN | Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. | Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu |
| 2021 | IJCNN | Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. | Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu |
| 2020 | WWW | Social Network Influence Ranking via Embedding Network Interactions for User Recommendation. | Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu |