2025
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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
In Findings of the Association for Computational Linguistics: (EMNLP) 2025 -
Multi-agent Deep Reinforcement Learning for Fake News Detection
Yiwen Wu, Kevin McAreavey, Hongbo Bo, Weiru Liu, Ryan McConville
In International Joint Conference on Neural Networks (IJCNN) 2025
2024
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Multi-stock Movements Classification: A Decoupled Graph Diffusion Neural Network Approach
Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
In International Conference on Agents and Artificial Intelligence (ICAART) 2024 -
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning
Pengxiang Wang, Hongbo Bo, Jun Hong, Weiru Liu, Kedian Mu
In European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2024 -
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction
Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge, Li Zhang, Yan Ge
In International Conference on Agents and Artificial Intelligence (ICAART) 2024
2023
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What Will Make Misinformation Spread: An XAI Perspective
Hongbo Bo, Yiwen Wu, Zinuo You, Ryan McConville, Jun Hong, Weiru Liu
In World Conference on Explainable Artificial Intelligence (xAI) 2023 -
Conditional LS-GAN Based Skylight Polarization Image Restoration and Application in Meridian Localization
Tian Yang, Hongbo Bo, Xinyu Yang, Jun Gao, Zijian Shi
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2023
2022
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Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
In International Joint Conference on Neural Networks (IJCNN) 2022 -
Graph Neural Networks for Interpretable Tactile Sensing
Wen Fan, Hongbo Bo, Yijiong Lin, Yifan Xing, Weiru Liu, Nathan Lepora, Dandan Zhang
In International Conference on Automation and Computing (ICAC) 2022 Best Student Paper
2021
- Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
In International Joint Conference on Neural Networks (IJCNN) 2021
2020
- Social Network Influence Ranking via Embedding Network Interactions for User Recommendation
Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu
In Companion Proceedings of the Web Conference (WWW) 2020