Hongbo Bo

According to our database, Hongbo Bo authored at least 16 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts.

Hongbo Bo, Jingyu Hu, Weiru Liu

CoRR, March, 2026

Failing on Bias Mitigation: Investigating Why Predictive Models Struggle with Government Data.

Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu

CoRR, January, 2026

Failing on Bias Mitigation: A Case Study on the Challenges of Fairness in Government Data.

Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu

Proceedings of the 18th International Conference on Agents and Artificial Intelligence, 2026

2025

Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning.

Jingyu Hu, Hongbo Bo, Jun Hong, Xiaowei Liu, Weiru Liu

CoRR, June, 2025

Multi-agent Deep Reinforcement Learning for Fake News Detection.

Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville

Proceedings of the International Joint Conference on Neural Networks, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning.

Pengxiang Wang, Hongbo Bo, Jun Hong, Weiru Liu, Kedian Mu

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach.

Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge

Proceedings of the Agents and Artificial Intelligence - 16th International Conference, 2024

DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.

Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

High-Fidelity Face Swapping with Style Blending.

Xinyu Yang, Hongbo Bo

CoRR, 2023

What Will Make Misinformation Spread: An XAI Perspective.

Hongbo Bo, Yiwen Wu, Zinuo You, Ryan McConville, Jun Hong, Weiru Liu

Proceedings of the Explainable Artificial Intelligence, 2023

Conditional LS-GAN Based Skylight Polarization Image Restoration and Application in Meridian Localization.

Tian Yang, Hongbo Bo, Xinyu Yang, Jun Gao, Zijian Shi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction.

Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

Graph Neural Networks for Interpretable Tactile Sensing.

Wen Fan, Hongbo Bo, Yijiong Lin, Yifan Xing, Weiru Liu, Nathan F. Lepora, Dandan Zhang

Proceedings of the 27th International Conference on Automation and Computing, 2022

2021

Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks.

Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Social Network Influence Ranking via Embedding Network Interactions for User Recommendation.

Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu

Proceedings of the Companion of The 2020 Web Conference 2020, 2020