| Reinforced mnemonic reader for machine reading comprehension M Hu, Y Peng, Z Huang, X Qiu, F Wei, M Zhou IJCAI 2018, 2017 | 341* | 2017 |
| Open-domain targeted sentiment analysis via span-based extraction and classification M Hu, Y Peng, Z Huang, D Li, Y Lv ACL 2019, 2019 | 254 | 2019 |
| Read+ verify: Machine reading comprehension with unanswerable questions M Hu, F Wei, Y Peng, Z Huang, N Yang, D Li Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 6529-6537, 2019 | 192 | 2019 |
| A multi-type multi-span network for reading comprehension that requires discrete reasoning M Hu, Y Peng, Z Huang, D Li EMNLP 2019, 2019 | 102 | 2019 |
| Attention-guided answer distillation for machine reading comprehension M Hu, Y Peng, F Wei, Z Huang, D Li, N Yang, M Zhou EMNLP 2018, 2018 | 87 | 2018 |
| Recent trends in deep learning based open-domain textual question answering systems Z Huang, S Xu, M Hu, X Wang, J Qiu, Y Fu, Y Zhao, Y Peng, C Wang IEEE Access 8, 94341-94356, 2020 | 79 | 2020 |
| Retrieve, read, rerank: Towards end-to-end multi-document reading comprehension M Hu, Y Peng, Z Huang, D Li ACL 2019, 2019 | 68 | 2019 |
| Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction S Zhao, M Hu, Z Cai, F Liu IJCAI 2020, 2020 | 63 | 2020 |
| Dynamic modeling cross-modal interactions in two-phase prediction for entity-relation extraction S Zhao, M Hu, Z Cai, F Liu IEEE Transactions on Neural Networks and Learning Systems 34 (3), 1122-1131, 2021 | 53 | 2021 |
| Enhancing Chinese character representation with lattice-aligned attention S Zhao, M Hu, Z Cai, Z Zhang, T Zhou, F Liu IEEE Transactions on Neural Networks and Learning Systems 34 (7), 3727-3736, 2021 | 42 | 2021 |
| Dynamic modeling cross-and self-lattice attention network for Chinese NER S Zhao, M Hu, Z Cai, H Chen, F Liu Proceedings of the AAAI Conference on Artificial Intelligence 35 (16), 14515 …, 2021 | 32 | 2021 |
| Interactive contrastive learning for self-supervised entity alignment K Zeng, Z Dong, L Hou, Y Cao, M Hu, J Yu, X Lv, L Cao, X Wang, H Liu, ... Proceedings of the 31st ACM International Conference on Information …, 2022 | 29 | 2022 |
| SASGBC: Improving sequence labeling performance for joint learning of slot filling and intent detection C Wang, Z Huang, M Hu Proceedings of 2020 6th International Conference on Computing and Data …, 2020 | 20 | 2020 |
| MCL: Multi-granularity contrastive learning framework for Chinese NER S Zhao, CY Wang, M Hu, T Yan, M Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (11), 14011 …, 2023 | 18 | 2023 |
| Adaptive threshold selective self-attention for Chinese NER B Hu, Z Huang, M Hu, Z Zhang, Y Dou Proceedings of the 29th International Conference on Computational …, 2022 | 16 | 2022 |
| Extract-select: A span selection framework for nested named entity recognition with generative adversarial training P Huang, X Zhao, M Hu, Y Fang, X Li, W Xiao Findings of the Association for Computational Linguistics: ACL 2022, 85-96, 2022 | 12 | 2022 |
| T 2 -NER: A Two-Stage Span-Based Framework for Unified Named Entity Recognition with Templates P Huang, X Zhao, M Hu, Z Tan, W Xiao Transactions of the Association for Computational Linguistics 11, 1265-1282, 2023 | 8 | 2023 |
| Extract, attend, predict: Aspect-based sentiment analysis with deep self-attention network Y Lv, M Hu, C Yang, YY Tang, H Wang 2019 IEEE 21st International Conference on High Performance Computing and …, 2019 | 8 | 2019 |
| Deadline-oriented task scheduling for mapreduce environments M Hu, C Wang, P You, Z Huang, Y Peng Algorithms and Architectures for Parallel Processing: 15th International …, 2015 | 8 | 2015 |
| KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion Y Wang, M Hu, Z Huang, D Li, D Yang, X Lu arXiv preprint arXiv:2403.17532, 2024 | 6 | 2024 |
Zhen HuangNational University of Defense TechnologyBestätigte E-Mail-Adresse bei nudt.edu.cn
