Zikun Hu

How Knowledge Graph and Attention Help? A Quantitative Analysis into Bag-level Relation Extraction

2021 · arXiv (Cornell University)

Knowledge Graph (KG) and attention mechanism have been demonstrated effective in introducing and selecting useful information for weakly supervised methods. However, only qualitative analysis and ablation study are provided as evidence. In this paper, we …

Dc Motor Control: A Global Prescribed Performance Control Strategy Based on Extended State Observer

2024

In this paper, we investigate the high-precision motion control problem of DC motors. By designing an extended state observer, system uncertainties and external disturbances can be estimated and compensated in the control law. By introducing …

Unifying Knowledge Graph Learning and Recommendation: Towards a Better Understanding of User Preferences

2019

Incorporating knowledge graph (KG) into recommender system is promising in improving the recommendation accuracy and explainability. However, existing methods largely assume that a KG is complete and simply transfer the ”knowledge” in KG at the …

Low-Resource Name Tagging Learned with Weakly Labeled Data

2019

Yixin Cao, Zikun Hu, Tat-seng Chua, Zhiyuan Liu, Heng Ji. Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). 2019.