| HIN: Hierarchical Inference Network for Document-Level Relation Extraction H Tang, Y Cao, Z Zhang, J Cao, F Fang, S Wang, P Yin Pacific-Asia Conference on Knowledge Discovery and Data Mining, 197-209, 2020 | 159 | 2020 |
| Neural extractive summarization with hierarchical attentive heterogeneous graph network R Jia, Y Cao, H Tang, F Fang, C Cao, S Wang Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 101 | 2020 |
| How Does Knowledge Graph Embedding Extrapolate to Unseen Data: a Semantic Evidence View R Li, Y Cao, Q Zhu, G Bi, F Fang, Y Liu, Q Li arXiv preprint arXiv:2109.11800, 2021 | 66 | 2021 |
| Deep Differential Amplifier for Extractive Summarization R Jia, Y Cao, F Fang, Y Zhou, Z Fang, Y Liu, S Wang | 20* | |
| TEBNER: Domain specific named entity recognition with type expanded boundary-aware network Z Fang, Y Cao, T Li, R Jia, F Fang, Y Shang, Y Lu Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 15 | 2021 |
| Flexible Non-Autoregressive Extractive Summarization with Threshold: How to Extract a Non-Fixed Number of Summary Sentences R Jia, Y Cao, H Shi, F Fang, P Yin, S Wang Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 13134 …, 2021 | 13 | 2021 |
| CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction Y Ren, Y Cao, F Fang, P Guo, Z Lin, W Ma, Y Liu Proceedings of the 29th International Conference on Computational …, 2022 | 11 | 2022 |
| DistilSum: Distilling the Knowledge for Extractive Summarization R Jia, Y Cao, H Shi, F Fang, Y Liu, J Tan Proceedings of the 29th ACM International Conference on Information …, 2020 | 9 | 2020 |
| Heterogeneous Graph Attention Network for Malicious Domain Detection Z Li, F Yuan, Y Liu, C Cao, F Fang, J Tan Artificial Neural Networks and Machine Learning–ICANN 2022: 31st …, 2022 | 5 | 2022 |
| MHGEE: Event Extraction via Multi-granularity Heterogeneous Graph M Zhang, F Fang, H Li, Q Liu, Y Li, H Wang Computational Science–ICCS 2022: 22nd International Conference, London, UK …, 2022 | 3 | 2022 |
| Knowledge-Based Diverse Feature Transformation for Few-Shot Relation Classification Y Tang, Z Li, C Cao, F Fang, Y Cao, Y Liu, J Fu International Conference on Knowledge Science, Engineering and Management …, 2021 | 3 | 2021 |
| Enhancing Pre-trained Language Representation for Multi-Task Learning of Scientific Summarization R Jia, Y Cao, F Fang, J Li, Y Liu, P Yin 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 3 | 2020 |
| DDNE: Discriminative Distance Metric Learning for Network Embedding X Li, Y Li, Y Shang, L Tong, F Fang, P Yin, J Cheng, J Li International Conference on Computational Science, 568-581, 2020 | 3 | 2020 |
| A fusion method of text categorization based on key sentence extraction and neural network F Fang, Z Wu, L Zhang, S Wang, C Cao 2017 2nd International Conference on Knowledge Engineering and Applications …, 2017 | 3 | 2017 |
| Is there more pattern in knowledge graph? exploring proximity pattern for knowledge graph embedding R Li, Y Cao, Q Zhu, X Li, F Fang arXiv preprint arXiv:2110.00720, 2021 | 2 | 2021 |
| 基于混合方法的含动词名词短语识别研究 方芳， 王石， 王亚， 符建辉， 曹存根 山西大学学报 (自然科学版), 4, 2019 | 2 | 2019 |
| A Chinese framework of semantic taxonomy and description: preliminary experimental evaluation using web information extraction L Zang, W Wang, Y Wang, F Fang, C Cao, X Wu, Q Zhou, Y Lu, T Li, ... International Conference on Knowledge Science, Engineering and Management …, 2015 | 2 | 2015 |
| No news is an island: Joint heterogeneous graph network for news classification Z Kang, Y Liu, G Bi, F Fang, P Yin 2021 IEEE Symposium on Computers and Communications (ISCC), 1-7, 2021 | 1 | 2021 |
| Multi-Granularity Heterogeneous Graph for Document-Level Relation Extraction H Tang, Y Cao, Z Zhang, R Jia, F Fang, S Wang ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 1 | 2021 |
| Enhancing Textual Representation for Abstractive Summarization: Leveraging Masked Decoder R Jia, Y Cao, F Fang, J Li, Y Liu, P Yin 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 1 | 2020 |
