Publications

2023

1. NLE

   An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction

   H. Su, H. Wang, X. Luo, and 1 more author

   Natural Language Engineering (SCI/SSCI/A&HCI), 2023

   Bib

   @article{Su2023AnEN,
     title = {An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction},
     author = {Su, H. and Wang, H. and Luo, X. and Xie, S.},
     journal = {Natural Language Engineering (SCI/SSCI/A&HCI)},
     year = {2023},
     publisher = {Cambridge University Press}
   }

2022

1. NCAA

   Joint semantic embedding with structural knowledge and entity description for knowledge representation learning

   X. Wei, Y. Zhang, and H. Wang

   Neural Computing and Applications (SCI, JCR Q2), 2022

   Bib

   @article{Wei2022JointSE,
     title = {Joint semantic embedding with structural knowledge and entity description for knowledge representation learning},
     author = {Wei, X. and Zhang, Y. and Wang, H.},
     journal = {Neural Computing and Applications (SCI, JCR Q2)},
     year = {2022},
     volume = {35},
     pages = {3883 - 3902},
     publisher = {Springer}
   }

2. NLE

   An empirical study of incorporating syntactic constraints into BERT-based location metonymy resolution

   H. Wang, S. Du, X. Zheng, and 1 more author

   Natural Language Engineering (SCI/SSCI/A&HCI), 2022

   Bib

   @article{Wang2022AnES,
     title = {An empirical study of incorporating syntactic constraints into BERT-based location metonymy resolution},
     author = {Wang, H. and Du, S. and Zheng, X. and Meng, L.},
     journal = {Natural Language Engineering (SCI/SSCI/A&HCI)},
     year = {2022},
     publisher = {Cambridge University Press}
   }

3. PRICAI

   Dual-VIE: dual-level graph attention network for visual information extraction

   J. Zhang, H. Wang, and X. Luo

   In The 19th Pacific Rim International Conference on Artificial Intelligence (CCF-C), 2022

   Bib

   @inproceedings{Zhang2022DualVIEDG,
     title = {Dual-VIE: dual-level graph attention network for visual information extraction},
     author = {Zhang, J. and Wang, H. and Luo, X.},
     booktitle = {The 19th Pacific Rim International Conference on Artificial Intelligence  (CCF-C)},
     year = {2022},
     publisher = {Springer}
   }

2021

1. ES

   MIFAS: multi‐source heterogeneous information fusion with adaptive importance sampling for link prediction

   T. Jiang, H. Wang, X. Luo, and 2 more authors

   Expert Systems (SCI, JCR Q2), 2021

   Bib

   @article{Jiang2021MIFASMH,
     title = {MIFAS: multi‐source heterogeneous information fusion with adaptive importance sampling for link prediction},
     author = {Jiang, T. and Wang, H. and Luo, X. and Xie, S. and Wang, J.},
     journal = {Expert Systems (SCI, JCR Q2)},
     year = {2021},
     volume = {39}
   }

2. PAKDD

   Back to prior knowledge: joint event causality extraction via convolutional semantic infusion

   Z. Wang, H. Wang, X. Luo, and 1 more author

   In Pacific-Asia Conference on Knowledge Discovery and Data Mining (CCF-C), 2021

   Bib

   @inproceedings{Wang2021BackTP,
     title = {Back to prior knowledge: joint event causality extraction via convolutional semantic infusion},
     author = {Wang, Z. and Wang, H. and Luo, X. and Gao, J.},
     booktitle = {Pacific-Asia Conference on Knowledge Discovery and Data Mining (CCF-C)},
     year = {2021}
   }

3. ICTAI

   Causal event extraction using iterated dilated convolutions with semantic convolutional filters

   J. Gao, X. Luo, H. Wang, and 1 more author

   The 33rd IEEE International Conference on Tools with Artificial Intelligence (CCF-C), 2021

   Bib

   @article{Gao2021CausalEE,
     title = {Causal event extraction using iterated dilated convolutions with semantic convolutional filters},
     author = {Gao, J. and Luo, X. and Wang, H. and Wang, Z.},
     journal = {The 33rd IEEE International Conference on Tools with Artificial Intelligence (CCF-C)},
     year = {2021},
     pages = {619-623}
   }

4. CCPE

   Chinese causal event extraction using causality‐associated graph neural network

   J. Gao, X. Luo, and H. Wang

   Concurrency and Computation: Practice and Experience (SCI), 2021

   Bib

   @article{Gao2021ChineseCE,
     title = {Chinese causal event extraction using causality‐associated graph neural network},
     author = {Gao, J. and Luo, X. and Wang, H.},
     journal = {Concurrency and Computation: Practice and Experience (SCI)},
     year = {2021},
     volume = {34}
   }

2020

1. TALLIP

   An extensible framework of leveraging syntactic skeleton for semantic relation classification

   H. Wang, Q. Tao, S. Du, and 1 more author

   ACM Trans. Asian Low-Resour. Lang. Inf. Process. (SCI), Sep 2020

   Bib

   @article{10.1145/3402885,
     author = {Wang, H. and Tao, Q. and Du, S. and Luo, X.},
     title = {An extensible framework of leveraging syntactic skeleton for semantic relation classification},
     year = {2020},
     issue_date = {November 2020},
     publisher = {Association for Computing Machinery},
     address = {New York, NY, USA},
     volume = {19},
     number = {6},
     issn = {2375-4699},
     journal = {ACM Trans. Asian Low-Resour. Lang. Inf. Process. (SCI)},
     month = sep,
     articleno = {77},
     numpages = {21},
     keywords = {relation classification, syntactic skeleton, Neural network}
   }

2. CCPE

   An uncertain future: Predicting events using conditional event evolutionary graph

   J. Gao, X. Luo, and H. Wang

   Concurrency and Computation: Practice and Experience (SCI), Sep 2020

   Bib

   @article{Gao2020AnUF,
     title = {An uncertain future: Predicting events using conditional event evolutionary graph},
     author = {Gao, J. and Luo, X. and Wang, H.},
     journal = {Concurrency and Computation: Practice and Experience (SCI)},
     year = {2020},
     volume = {33}
   }

3. ES

   Improving answer selection with global features

   S. Gu, X. Luo, H. Wang, and 3 more authors

   Expert Systems (SCI, JCR Q2), Sep 2020

   Bib

   @article{Gu2020ImprovingAS,
     title = {Improving answer selection with global features},
     author = {Gu, S. and Luo, X. and Wang, H. and Huang, J. and Wei, Q. and Huang, S.},
     journal = {Expert Systems (SCI, JCR Q2)},
     year = {2020},
     volume = {38}
   }

4. ICONIP

   Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network

   X. Pei, H. Wang, X. Luo, and 1 more author

   In International Conference on Neural Information Processing (CCF-C), Sep 2020

   Bib

   @inproceedings{Pei2020OpenET,
     title = {Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network},
     author = {Pei, X. and Wang, H. and Luo, X. and Gao, J.},
     booktitle = {International Conference on Neural Information Processing (CCF-C)},
     year = {2020}
   }

5. CCPE

   Improving taxonomic relation learning via incorporating relation descriptions into word embeddings

   S. Huang, X. Luo, J. Huang, and 3 more authors

   Concurrency and Computation: Practice and Experience (SCI), Sep 2020

   Bib

   @article{Huang2020ImprovingTR,
     title = {Improving taxonomic relation learning via incorporating relation descriptions into word embeddings},
     author = {Huang, S. and Luo, X. and Huang, J. and Wang, H. and Gu, S. and Guo, Y.},
     journal = {Concurrency and Computation: Practice and Experience (SCI)},
     year = {2020},
     volume = {32}
   }

6. JWE

   Abstract concept instantiation with context relevance measurement

   Shengwei Gu, X. Luo, H. Wang, and 2 more authors

   Journal of Web Engineering (SCI), Sep 2020

   Bib

   @article{Gu2020AbstractCI,
     title = {Abstract  concept instantiation with context relevance measurement},
     author = {Gu, Shengwei and Luo, X. and Wang, H. and Huang, Jing and Huang, Subin},
     journal = {Journal of Web Engineering (SCI)},
     year = {2020},
     volume = {19},
     pages = {575-602}
   }

2019

1. ICTAI

   Enhancing relation extraction using syntactic indicators and sentential contexts

   Q. Tao, X. Luo, and H. Wang

   The 31st IEEE International Conference on Tools with Artificial Intelligence (CCF-C), Sep 2019

   Bib

   @article{Tao2019EnhancingRE,
     title = {Enhancing relation extraction using syntactic indicators and sentential contexts},
     author = {Tao, Q. and Luo, X. and Wang, H.},
     journal = {The 31st IEEE International Conference on Tools with Artificial Intelligence (CCF-C)},
     publisher = {IEEE},
     year = {2019},
     pages = {1574-1580}
   }

2. ICTAI

   Multi-task learning for relation extraction

   K. Zhou, X. Luo, H. Wang, and 1 more author

   In The 31st IEEE International Conference on Tools with Artificial Intelligence (CCF-C), Sep 2019

   Bib

   @inproceedings{Zhou2019Multitask,
     author = {Zhou, K. and Luo, X. and Wang, H. and Xu, R.},
     booktitle = {The 31st IEEE International Conference on Tools with Artificial Intelligence (CCF-C)},
     title = {Multi-task learning for relation extraction},
     year = {2019},
     publisher = {IEEE},
     pages = {1480-1487},
     doi = {10.1109/ICTAI.2019.00210}
   }