| Reinforced mnemonic reader for machine reading comprehension M Hu, Y Peng, Z Huang, X Qiu, F Wei, M Zhou IJCAI 2018, 2017 | 330* | 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 | 210 | 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 | 180 | 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 | 90 | 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 | 81 | 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 | 70 | 2020 |
| Retrieve, read, rerank: Towards end-to-end multi-document reading comprehension M Hu, Y Peng, Z Huang, D Li ACL 2019, 2019 | 62 | 2019 |
| Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction S Zhao, M Hu, Z Cai, F Liu IJCAI 2020, 2020 | 54 | 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 | 41 | 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, 2021 | 32 | 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 | 23 | 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 | 20 | 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 | 10 | 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 | 10 | 2020 |
| 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 | 9 | 2022 |
| 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 |
| 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 | 7 | 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 | 7 | 2019 |
| SDF-NN: A Deep Neural Network with Semantic Dropping and Fusion for Natural Language Inference L Tan, C Wang, Q Lv, Y Peng, M Hu, X Zhao, Z Huang 2017 IEEE 29th International Conference on Tools with Artificial …, 2017 | 3 | 2017 |
| Decoupled Two-Phase Framework for Class-Incremental Few-Shot Named Entity Recognition Y Chen, Z Huang, M Hu, D Li, C Wang, F Liu, X Lu Tsinghua Science and Technology 28 (5), 976-987, 2023 | 2 | 2023 |
Zhen HuangNational University of Defense TechnologyDirección de correo verificada de nudt.edu.cn
