| SECaps: a sequence enhanced capsule model for charge prediction C He, L Peng, Y Le, J He, X Zhu Artificial Neural Networks and Machine Learning–ICANN 2019: Text and Time …, 2019 | 33 | 2019 |
| Learning to predict charges for legal judgment via self-attentive capsule network Y Le, C He, M Chen, Y Wu, X He, B Zhou ECAI 2020, 1802-1809, 2020 | 14 | 2020 |
| Explaining legal judgments: A multitask learning framework for enhancing factual consistency in rationale generation C He, TP Tan, S Xue, Y Tan Journal of King Saud University-Computer and Information Sciences 35 (10 …, 2023 | 2 | 2023 |
| Knowledge-enriched Multi-Cross Attention Network for Legal Judgment Prediction C He, TP Tan, X Zhang, S Xue IEEE Access, 2023 | 1 | 2023 |
| Dynamically weighted multi-view semi-supervised learning for captcha C He, L Peng, Y Le, J He Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 1 | 2019 |
| SEBERTNets: Sequence Enhanced BERT Networks for Event Entity Extraction Tasks Oriented to the Finance Field C He, X Zhu, Y Le, Y Liu, J Yin arXiv preprint arXiv:2401.11408, 2024 | | 2024 |
| ICDM 2020 Knowledge Graph Contest: Consumer Event-Cause Extraction C He, J Zhang, X Zhu, H Liu, Y Huang arXiv preprint arXiv:2110.15722, 2021 | | 2021 |
Yuquan LePhd Student, Hunan UniversityVerified email at hnu.edu.cn
