| Neurjudge: A circumstance-aware neural framework for legal judgment prediction L Yue, Q Liu, B Jin, H Wu, K Zhang, Y An, M Cheng, B Yin, D Wu Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 78 | 2021 |
| Leveraging transferable knowledge concept graph embedding for cold-start cognitive diagnosis W Gao, H Wang, Q Liu, F Wang, X Lin, L Yue, Z Zhang, R Lv, S Wang Proceedings of the 46th international ACM SIGIR conference on research and …, 2023 | 26 | 2023 |
| Circumstances enhanced criminal court view generation L Yue, Q Liu, H Wu, Y An, L Wang, S Yuan, D Wu Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 20 | 2021 |
| DARE: disentanglement-augmented rationale extraction L Yue, Q Liu, Y Du, Y An, L Wang, E Chen Advances in Neural Information Processing Systems 35, 26603-26617, 2022 | 19 | 2022 |
| Interventional rationalization L Yue, Q Liu, L Wang, Y An, Y Du, Z Huang Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 10* | 2023 |
| Cooperative classification and rationalization for graph generalization L Yue, Q Liu, Y Liu, W Gao, F Yao, W Li Proceedings of the ACM on Web Conference 2024, 344-352, 2024 | 7 | 2024 |
| Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives W Gao, Q Liu, H Wang, L Yue, H Bi, Y Gu, F Yao, Z Zhang, X Li, Y He Proceedings of the AAAI Conference on Artificial Intelligence 38 (8), 8417-8426, 2024 | 7* | 2024 |
| RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs X Liu, K Zhang, Y Liu, E Chen, Z Huang, L Yue, J Yan Findings of the Association for Computational Linguistics: ACL 2023, 8683-8696, 2023 | 7 | 2023 |
| Fedjudge: Federated legal large language model L Yue, Q Liu, Y Du, W Gao, Y Liu, F Yao arXiv preprint arXiv:2309.08173, 2023 | 6 | 2023 |
| LawyerPAN: A proficiency assessment network for trial lawyers Y An, Q Liu, H Wu, K Zhang, L Yue, M Cheng, H Zhao, E Chen Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 5 | 2021 |
| Comi: Correct and mitigate shortcut learning behavior in deep neural networks L Zhao, Q Liu, L Yue, W Chen, L Chen, R Sun, C Song Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 4 | 2024 |
| Legal judgment prediction with multiple perspectives on civil cases L Zhao, L Yue, Y An, Y Liu, K Zhang, W He, Y Chen, S Yuan, Q Liu Artificial Intelligence: First CAAI International Conference, CICAI 2021 …, 2021 | 4 | 2021 |
| CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements L Zhao, L Yue, Y An, Y Zhang, J Yu, Q Liu, E Chen Proceedings of the 31st ACM international conference on information …, 2022 | 3 | 2022 |
| Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks Y Du, Z Zhang, L Yue, X Huang, Y Zhang, T Xu, L Xu, E Chen ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 2 | 2024 |
| A Circumstance-aware Neural Framework for Explainable Legal Judgment Prediction L Yue, Q Liu, B Jin, H Wu, Y An IEEE Transactions on Knowledge and Data Engineering, 2024 | 2 | 2024 |
| Adard: An adaptive response denoising framework for robust learner modeling F Yao, Q Liu, L Yue, W Gao, J Li, X Li, Y He Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 1 | 2024 |
| Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models Y Liu, K Zhang, A Gan, L Yue, F Hu, Q Liu, E Chen arXiv preprint arXiv:2407.08967, 2024 | 1 | 2024 |
| Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models L Yue, Q Liu, L Zhao, L Wang, W Gao, Y An arXiv preprint arXiv:2404.07001, 2024 | 1 | 2024 |
| Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering. M Bao, Q Liu, K Zhang, Y Liu, L Yue, L Li, J Zhou IJCAI, 5012-5020, 2023 | 1 | 2023 |
| Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling W Gao, Q Liu, L Yue, F Yao, H Wang, Y Gu, Z Zhang arXiv preprint arXiv:2411.02066, 2024 | | 2024 |
Yanqing AnUniversity of Science and Technology of China在 mail.ustc.edu.cn 的电子邮件经过验证
