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Hongbo Bo
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2020 – today
- 2024
- [c8]Zinuo You, Zijian Shi, Hongbo Bo, John Cartlidge
, Li Zhang, Yan Ge:
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. ICAART (2) 2024: 431-442 - [c7]Pengxiang Wang
AdaHAT: Adaptive Hard Attention to the Task in Task-Incremental Learning. ECML/PKDD (3) 2024: 143-160 - [i4]Zinuo You
DGDNN: Decoupled Graph Diffusion Neural Network for Stock Movement Prediction. CoRR abs/2401.01846 (2024) - 2023
- [c6]Tian Yang, Hongbo Bo, Xinyu Yang, Jun Gao, Zijian Shi:
Conditional LS-GAN Based Skylight Polarization Image Restoration and Application in Meridian Localization. ICASSP 2023: 1-5 - [c5]Hongbo Bo, Yiwen Wu, Zinuo You
What Will Make Misinformation Spread: An XAI Perspective. xAI (2) 2023: 321-337 - [i3]Xinyu Yang, Hongbo Bo:
High-Fidelity Face Swapping with Style Blending. CoRR abs/2312.10843 (2023) - 2022
- [c4]Wen Fan, Hongbo Bo, Yijiong Lin, Yifan Xing, Weiru Liu
Graph Neural Networks for Interpretable Tactile Sensing. ICAC 2022: 1-6 - [c3]Hongbo Bo, Ryan McConville
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. IJCNN 2022: 1-8 - [i2]Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu:
Ego-graph Replay based Continual Learning for Misinformation Engagement Prediction. CoRR abs/2207.12105 (2022) - 2021
- [j1]Liyun Zhao, Jinchen Ji
Weighted coordinated motion for coupled harmonic oscillators with heterogeneous interactions of cooperation and competition. Int. J. Syst. Sci. 52(5): 1026-1041 (2021) - [c2]Hongbo Bo, Ryan McConville
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. IJCNN 2021: 1-8 - [i1]Hongbo Bo, Ryan McConville, Jun Hong, Weiru Liu:
Social Influence Prediction with Train and Test Time Augmentation for Graph Neural Networks. CoRR abs/2104.11641 (2021) - 2020
- [c1]Hongbo Bo, Ryan McConville
Social Network Influence Ranking via Embedding Network Interactions for User Recommendation. WWW (Companion Volume) 2020: 379-384
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last updated on 2024-10-07 21:18 CEST by the dblp team
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