Hongbo Bo

21 papers B 3Misc 1Journal 9Unranked 8
YearRankTypeTitle / Venue / Authors
2026 — conf
Failing on Bias Mitigation: A Case Study on the Challenges of Fairness in Government Data.
ICAART (4)
Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu
2026 J jnl
Failing on Bias Mitigation: Investigating Why Predictive Models Struggle with Government Data.
CoRR
Hongbo Bo, Jingyu Hu, Debbie Watson, Weiru Liu
2026 J jnl
Influencing LLM Multi-Agent Dialogue via Policy-Parameterized Prompts.
CoRR
Hongbo Bo, Jingyu Hu, Weiru Liu
2025 J jnl
Mitigating Degree Bias Adaptively with Hard-to-Learn Nodes in Graph Contrastive Learning.
CoRR
Jingyu Hu, Hongbo Bo, Jun Hong, Xiaowei Liu, Weiru Liu
2025 B conf
Multi-agent Deep Reinforcement Learning for Fake News Detection.
IJCNN
Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville
2025 — conf
Quantifying Compositionality of Classic and State-of-the-Art Embeddings.
EMNLP (Findings)
Zhijin Guo, Chenhao Xue, Zhaozhen Xu, Hongbo Bo, Yuxuan Ye, Janet B. Pierrehumbert, Martha Lewis
2025 J jnl
Quantifying Compositionality of Classic and State-of-the-Art Embeddings.
CoRR
Zhijin Guo, Chenhao Xue, Zhaozhen Xu, Hongbo Bo, Yuxuan Ye, Janet B. Pierrehumbert, Martha Lewis
2024 — conf
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning.
ECML/PKDD (3)
Pengxiang Wang, Hongbo Bo, Jun Hong, Weiru Liu, Kedian Mu
2024 — conf
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.
ICAART (2)
Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024 J jnl
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction.
CoRR
Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2024 — conf
Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach.
ICAART (Revised Selected Paper, 2)
Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
2023 Misc conf
Conditional LS-GAN Based Skylight Polarization Image Restoration and Application in Meridian Localization.
ICASSP
Tian Yang, Hongbo Bo, Xinyu Yang, Jun Gao, Zijian Shi
2023 J jnl
High-Fidelity Face Swapping with Style Blending.
CoRR
Xinyu Yang, Hongbo Bo
2023 — conf
What Will Make Misinformation Spread: An XAI Perspective.
xAI (2)
Hongbo Bo, Yiwen Wu, Zinuo You, Ryan McConville, Jun Hong, Weiru Liu
2022 B conf
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction.
IJCNN
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2022 J jnl
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction.
CoRR
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2022 — conf
Graph Neural Networks for Interpretable Tactile Sensing.
ICAC
Wen Fan, Hongbo Bo, Yijiong Lin, Yifan Xing, Weiru Liu, Nathan F. Lepora, Dandan Zhang
2021 B conf
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks.
IJCNN
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2021 J jnl
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks.
CoRR
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
2021 J jnl
Weighted coordinated motion for coupled harmonic oscillators with heterogeneous interactions of cooperation and competition.
Int. J. Syst. Sci.
Liyun Zhao, Jinchen Ji, Hongbo Bo, Jianfeng Lv
2020 — conf
Social Network Influence Ranking via Embedding Network Interactions for User Recommendation.
WWW (Companion Volume)
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu